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Mobile Assisted Language Learning : A Literature Review

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Mobile assisted language learning (MALL) is a subarea of the growing field of mobile learning (mLearning) research which increasingly attracts the attention of scholars. This study provides a systematic review of MALL research within the specific area of second language acquisition during the period 2007-2012 in terms of research approaches, methods, theories and models, as well as results in the form of linguistic knowledge and skills. The findings show that studies of mobile technology use in different aspects of language learning support the hypothesis that mobile technology can enhance learners' second language acquisition. However, most of the reviewed studies are experimental, small-scale, and conducted within a short period of time. There is also a lack of cumulative research; most theories and concepts are used only in one or a few papers. This raises the issue of the reliability of findings over time, across changing technologies, and in terms of scalability. In terms of gained linguistic knowledge and skills, attention is primarily on learners' vocabulary acquisition, listening and speaking skills, and language acquisition in more general terms.
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Mobile Assisted Language Learning:
A Literature Review
Olga Viberg
Örebro University Business School,
Örebro, Sweden
ovi@du.se
Åke Grönlund
Örebro University Business School,
Örebro, Sweden
ake.gronlund@oru.se
ABSTRACT
Mobile assisted language learning (MALL) is a subarea of the growing field of mobile learning (mLearning) research
which increasingly attracts the attention of scholars. This study provides a systematic review of MALL research within
the specific area of second language acquisition during the period 2007 - 2012 in terms of research approaches, methods,
theories and models, as well as results in the form of linguistic knowledge and skills. The findings show that studies of
mobile technology use in different aspects of language learning support the hypothesis that mobile technology can
enhance learners’ second language acquisition. However, most of the reviewed studies are experimental, small-scale, and
conducted within a short period of time. There is also a lack of cumulative research; most theories and concepts are used
only in one or a few papers. This raises the issue of the reliability of findings over time, across changing technologies,
and in terms of scalability. In terms of gained linguistic knowledge and skills, attention is primarily on learners’
vocabulary acquisition, listening and speaking skills, and language acquisition in more general terms.
Author Keywords
Mobile assisted language learning, MALL, mobile learning, second language acquisition, mobile technology
INTRODUCTION
Mobile technologies are rapidly attracting new users, providing increasing capacity, and allowing more sophisticated use.
This influences cultural practices and enables new contexts for learning (Pachler et al., 2010). The integration of such
technologies into teaching and learning has been more gradual, as educators need to understand how they can be
effectively used to support various kinds of learning (Kukulska-Hulme & Shield, 2008) and develop effective methods
and materials for mobile assisted language learning (MALL), a specialization of mobile learning (mLearning). The main
characteristics of mobile learning, such as permanency, accessibility, immediacy, interactivity, situating of instructional
activities, are summarized and introduced by Ogata & Yano (2005). While definitions differ, it is obvious that not only
technology but also people can be mobile. For the purpose of this paper we define mLearning as a “process of coming to
know through conversations across multiple contexts among people and personal interactive technologies” (Sharples et
al., 2007, 225) with a focus on contexts. The technology to assist in this process includes any kind of handheld mobile
devices such as cell phones, personal digital assistants (PDAs), smartphones, pads, pods, etc. Laptops are today typically
not considered mobile in this context, even though they obviously are to some extent. Ogata et al. (2010) state:
computer assisted mobile learning uses lightweight devices such as personal digital assistant (PDA), cellular mobile
phones, and so on” (p.8). In the lack of a strict definition, for the purpose of this paper we refer to anything that can be
used when walking around.
As mobile technologies provide many advantages: flexibility, low cost, small size and user-friendliness, researchers are
exploring how to use mobile technology to support language learning (Huang et al., 2012). However, there are also
obvious disadvantages, such as small screen size, limited presentation of graphics (Albers & Kim, 2001), and dependence
on networks that may not always provide very high transmission capacity and may be subject to disturbances of many
kinds. Despite such shortcomings Thornton and Houser (2005) show that mobile devices can indeed be effective tools for
delivering language learning materials to the students. Kukulska-Hulme & Shield (2008) offer a seminal overview of
MALL asking whether and how mobile devices support collaborative practice in speaking and listening. The study
presented the two main approaches to MALL, content-related and design-related studies. These approaches still dominate
in the literature, although the focus is shifting towards design-oriented studies when creating authentic and/or social
mobile learning environments (Wong & Looi, 2011).
This review presents an extensive coverage of empirical research, as published in English during the period 2007-2012,
concerning the use and effectiveness of MALL in second and foreign language (L2) education with a focus on the
methodological, theoretical and linguistic knowledge trends. What theories, research approaches and methods are used
when analyzing MALL? Which aspects of MALL are being researched? What are the results so far, and what research
gaps are there?
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METHOD
The review follows the Webster and Watson (2002) method combining keyword searching and examination of leading
journals. First, a set of keywords was identified. Primarily the keywords mobile learning together with (AND) language
learning were used. Further, different combinations of such keywords as handheld device, cell phone, mobile phone,
PDA, smartphone, mobile, application together with language learning were used. To ensure reliability, search strategies
were refined by examining the retrieved articles’ abstracts. To further enhance reliability, manual searches were carried
out in key journals, including Computer Assisted Language Learning Journal, Computers and Education, Journal of
Computer Assisted Learning, Educational Technology and Society and Language Learning and Technology. A further
search technique was “snowballing”, i.e. following up references in the identified papers and identifying most cited
papers. The selection of articles to be included in the review was based on the inclusion criteria presented below. Several
international conference papers (such conferences as EUROCALL (European Computer Assisted Language Learning),
International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education, mLearn etc.) are also included
due to the fact that many of the results of the ongoing projects have not been published yet in peer-reviewed journals as
the field of mobile learning with the specific reference to language learning is still in its infancy (Kukulska-Hulme &
Shield, 2008).
Papers included were those covering: effects of the use of mobile technology within foreign and second language
learning, learners use of technology and attitudes and/or intentions, empirical studies, overview, and/or summary of
MALL and CALL (with a focus on the use of mobile technology) research, mobile technology in its relation to language
learning within educational settings, published in peer-review journals and conference proceedings in the period 2007 -
2012, effects of technology use on the acquisition of linguistic knowledge and skills (reading, vocabulary learning,
writing etc.).
All the identified articles and conference contributions were analyzed in order to assess the papers’ quality in terms of the
applied theory, approach, method, and themes, using the Grönlund & Andersson (2006) model. After retrieving the
relevant literature, the abstracts and the findings/conclusions of the articles were examined. Secondly, approach and
method was examined so as to assess the credibility of the claims in the papers. Thirdly the main concepts were identified
and organized in an author-centric matrix suggested by Webster and Watson (2002). Finally, the papers were examined
to identify the language skills’ focus when using mobile technologies in second language and foreign learning and
teaching. As most of the reviewed articles were retrieved from highly ranked and cited journals, the methods and
approaches employed could be trusted for their quality and credibility. Initially 89 papers were found. 54 of them
fulfilled the selection criteria and are thus included. The categories for the analysis of research type and method used
were adapted from Grönlund and Andersson (2006).
FINDINGS
Research Approach
In our sample most research was descriptive (44 %), presenting various cases where technical appliances were used. We
found only one theory generating study and no theory testing one (Table 1). Theories were used in 46 % of the papers,
but mainly to illustrate or interpret findings. We found only one theory specifically designed to cover the MALL field
(Sharples et al., 2007). Noticeably, several descriptive studies also include elements of philosophical or theoretical
concepts or models.
Descriptive
Describes a phenomenon in its appearance without any use of theory.
24
44%
Philosophical
Reflects upon a phenomenon without data and any use of theory.
2
4%
Theoretical
Reflects on a phenomenon based on some theory but without empirical
data
2
4%
Theory use
Applies a theory/theories & models as a framework for the conducted
study
25
46%
Theory generating
Attempts to analyze quantitative/qualitative data in a systematic
manner with the use of theory with a purpose of (taking steps towards)
theory building
1
2%
Theory testing
Attempt to test a theory using quantitative or qualitative data in
systematic manner, i.e. just strict theory testing.
0
0%
Total
54
100%
Table 1. Research approach
Method
The most commonly applied method is experiment, with 47 % of the papers (Table 2). Second most common are
interpretive studies (28 %). This indicates that the MALL field is in an emerging phase, still under development and in
need of more solid empirical evidence in order to underpin theoretical conclusions about how mobile technologies can
assist language learning and in order to build theoretical models that are specific to this scientific field.
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A significant number of studies illustrate for MALL specially designed intelligent systems for individuals’ use when
practicing different language skills (Chang & Hsu, 2011; Chen & Chung, 2008; Chen & Li, 2010; Huang et al., 2012;
Kaneko et al., 2008 etc.), such as use of Artificial Intelligence methods and technologies. In experiments, use of such
systems is frequently compared to a ‘traditional’ way of teaching and learning a language in educational settings,
attempting to show results of the developed software’s use on, among others, individuals’ second language vocabulary
acquisition, listening and/or speaking skills etc. Thus most of these studies present explorative and comparative
knowledge. Additionally when exploring learners’ intentions and attitudes towards the use of the proposed systems and
applications, evaluative knowledge is offered.
Method
Description
Number of
articles
%
Argument
Logical argument but not based in any particular theory or
relating explicitly or by clear implication to any theory.
2
4%
Case story
Tells about a case but as opposed to a case study there is no
strict data collection method.
4
6%
Ethnography
Any attempt to understand actions by systematic observation
and interpretation.
0
0%
Experiment
Field experiments included.
25
47%
Grounded Theory
1
2%
Interpretative
Any kind of more strictly performed data collection than a
“case story” but not necessarily strictly explained or spelled-
out method for interpretation. Case study belongs here but
also more limited studies where qualitative and quantitative
data is used.
15
28%
Literature study
Only documents used (scientific, policy documents etc.). Not
necessarily strict method or even explicitly labeled as
literature study
1
2%
Product description
IT product, method or similar, described by the manufacturer
or someone else.
4
6%
Survey
This covers also qualitative overviews of several documents
and cases.
1
2%
Unclear
Even the widely defined categories above fail to capture the
method.
1
2%
Total
54
100%
Table 2. Method
Theories
The theories and models applied in the reviewed literature most often originate from previously established theories of
learning, such as constructivism and situated learning theory. The experiments in the reviewed papers are hence typically
applied on mature pedagogy. There are, however, also a few studies discussing mobile learning or Mobile Learning
Theory or even Modern Mobile Learning Theory in attempts to formulate field-specific theory. There are also more
general theories used, such as Activity Theory and Sociocultural Theory. Some theories originate from psychology, such
as Cognitive Load Theory and Dual Coding Theory, and some relate directly to technology use, e.g. the commonly used
Technology Acceptance Model (TAM). Many papers, however, do not exhibit any clear theoretical background.
Research Content
Analyzing the research topics of the papers, three major categories were found: ‘technological concepts of learning’ (e.g.
Mobile-device supported peer-assisted learning), ‘technology-centered concepts’ (e.g. SMS based learning), and
‘learning environment’ with two subgroups: ‘theoretical development’ (e.g. Contextualized meaning making) and
‘practical aspects’ (e.g. Usefulness). Table 4 provides a complete list and shows that most specific concepts, in particular
those concerned with theory, are used only in one or very few papers.
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Only general concepts like MALL are widely
shared. This means there is little cumulative research.
Thematic
categories
Examples
Concepts
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References in the table are available from the author. Excluded due to lack of space.
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Technological Concepts of Learning
Anderson et al. (2008)
Language learning outside the classroom
Chen & Li (2010)
Context-aware ubiquitous learning
Chen & Chung (2008); Hsu et al. (2008); de Jong et al. (2010);
Cheng et al. (2010); Oberg & Daniels (2012); Petersen et al.
(2011); Sandberg et al. (2011); Huang & Sun (2008); Hwang &
Chen (2011); Abdous et al. (2012)
Mobile learning
Chang & Hsu (2011)
CALL
Comas-Quinn et al. (2009)
Constructivism, situated learning, informal learning
de Jong et al. (2010); Hsieh et al. (2010); Petersen et al.(2011)
Situated learning
de Jong et al. (2010)
Knowledge gain
Demouy & Kukulska-Hulme (2009)
Authentic learning
Fotouhi-Ghazvini (2009)
Game-based learning
Hsu (2012)
MALL from cross-cultural perspective, constuctivism
Huang et al. (2012); Liu (2009); Chen & Li (2010); Cheng et al.
(2010); Fallahkhair et al.(2007)
Ubiquitous learning
Kukulska-Hulme & Shield (2008); Kukulska-Hulme (2009);
Miangah & Nezarat (2012); Nah (2011); Wong et al. (2010);
Hsieh et al. (2010)
MALL
Kukulska-Hulme (2010)
Learner-led innovation
Lan et al. (2007)
Mobile-device supported peer-assisted learning
Li et al. (2010)
Adaptive learning
Liu et al. (2008)
Communicative mobile English learning
Liu (2009), Cheng et al. (2010)
Collaborative learning
Liu (2009)
Immersive learning
Oberg & Daniels (2012)
Self-pace instruction
Sandberg et al. (2011)
CALL, informal learning, game-based learning
Stockwell (2007, 2008)
CALL
Wong & Looi (2010)
Seamless language learning design
Technology-Centered Concepts
Abdous et al. (2009, 2012); Ducate & Lomicka (2009); Rosell-
Aquilar (2007)
Podcasting
Cavus & Ibrahim (2008, 2009); Katz & Yablon (2011); Lu
(2008); Kennedy & Levy (2008); Saran et al. (2008)
SMS based learning
Chang & Hsu (2011); Chen & Chung (2008);Chen & Li (2010);
Huang et al. (2012); Kaneko et al. (2008); Petersen &
Markiewicz (2008); Stockwell (2007, 2010); Cheng et al.
(2010); Sandberg et al. (2011)
Usage of multimedia/hypermedia intelligent systems
Cheng et al. (2010)
Exchange of ideas through presentations
Comas-Quinn et al. (2009); Hsu et al. (2009)
Mobile blogs
Godwin-Jones (2011); Chang & Hsu (2011); Chen & Chung
(2008); Chen & Li (2010); Fallahkhair et al. (2007); Huang et al.
(2012); Liu (2009); Petersen & Markiewicz (2008); Petersen et
al. (2011); Sandberg et al.(2011); Stockwell (2007, 2008, 2010);
Huang et al. (2012)
Mobile applications for language learning
Gromik (2012), Nah (2011); Fallahkhair et al. (2007)
Learning with a cell phone
Fallahkhair et al.(2007)
Language learning support via iTV and cell phones
Jian et al. (2009)
Electronic pocket dictionaries
Li et al. (2010)
Mobile-based e-mail learning (MESLL)
Liu (2009)
Sensor and handheld augmented reality(AG)-supported
ubiquitous learning
Nah (2011)
WAP site’s use for listening activities
Sandberg et al. (2011)
Added value of mobile technology for learning
English
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Song & Fox (2008)
Referential use of mobile devices (PDAs) to enhance
learners’ incidental vocabulary learning
Learning Environment
Theoretical Developmental
Chen et al. (2008)
Content adaption in mobile learning environment
Comas-Quinn et al. (2009)
Intercultural awareness; interface between learner and
context
Cheng et al. (2010)
Contextual familiarity
de Jong et al. (2010)
Contextualized language learning
Huang et al. (2012)
Interactive learning environment
Hwang & Chen (2011)
Familiar context
Wong & Looi (2010)
Contextualized meaning making
Learning Environment
Practical Aspects
Petersen & Markiewicz (2008); Kukulska-Hulme (2010); Chen
& Chung (2008); Chen & Li (2010)
Personalization
Cheng et al. (2010)
Playfulness
Comas-Quinn et al. (2009); Kukulska-Hulme (2010); Hsu
(2012); Abdous (2009, 2012); Fallahkhair et al. (2007)
Learner-centeredness
de Jong et al. (2010)
Desirability
Huang et al. (2012); Chen & Li (2010), Cheng et al. (2010);
Chang & Hsu (2011)
Usefulness/ease of use
Hwang & Chen (2011)
User’s percipience
Cheng et al. (2010)
Student’s engagement
Table 3. Concepts used
DISCUSSION AND CONCLUSIONS
This review sought to offer a general picture of research trends in MALL with a focus on second and foreign language
acquisition published since 2007 in terms of research approaches, methods, theories and models, and results.
What Research Approaches and Methods Are Used When Analysing MALL? The scientific field of mLearning and
MALL generally, as well as L2 acquisition specifically, are emerging so unsurprisingly we found a large number of
approaches and theories employed. Most of these originate from other areas, such as applied Cognitive Load Theory
(Oberg & Daniels, 2012) and Dual-Coding Theory (Huang et al., 2012) derived from the cognitive psychology; TAM
(Cheng et al., 2010) from informatics research, and a number of learning and language acquisition theories. A number of
studies introduce mobile learning, MALL and even the Theory of Mobile Learning but it is often not clear how these new
concepts differ from other technology-enhanced learning perspectives, for example e-learning or CALL. In general,
theories are vaguely used; we found only one theory generating study (Liu et al., 2008) and no theory testing one. The
dominating research approaches within MALL for the reviewed years are descriptive studies (44 %) and what we call
“theory based studies” (46%), where the authors present a theory which in some way is related to their experiments or
case studies. For example, de Jong et al. (2010) employ sociocultural perspectives, where emphasis is on the social
motive for second language learning. There is often a lack of a clear connection between the theory and the discussion
part in the reviewed papers. There are exceptions, e.g. TAM which is strictly operationalized, but then there may be other
gaps; TAM, again, is not related to learning, only to use of technology.
As for the descriptive studies, a typical example is Godwin-Jones (2011) who illustrates the state of language learning
applications, the devices they can be applied to, and how they are developed. The descriptive studies often include
embryonic elements of philosophical or theory generating categories. For instance, the research conducted by Kukulska-
Hulme (2009) describes findings from previous research and reflects upon the phenomenon of MALL without any
explicit use of theory.
‘Experiment’ (non-strictly defined) is the most commonly applied method in the reviewed studies (47 %), followed by
interpretive case studies (28 %). Together these two methods make up 75% of the research published 2007 2012. Most
studies are small-scale, exploratory, and conducted within a short period of time, which makes them rather anecdotal in
terms of reliability. This is not surprising given that the field of MALL is in its developmental experimental phase and
still needs more solid empirical evidence and guidance in order to underpin conclusions about how mobile technologies
can assist language learning acquisition and in order to build theoretical models specific to this field. It is hence still an
open question to what extent MALL in the L2 area is indeed different from MALL in other areas.
Within What Theoretical Frameworks the Studies Have Been Carried Out? Theory use in the sample is very
scattered. A large number of theories were found but most theories appeared only in one paper; we saw no cumulative
theory use. Notably, many concepts appear only in one or a few papers. As one commonly cited criterion of a scientific
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field is that a common set of theories is applied, this finding indicates that MALL is yet only a potential field, united
mainly by the studies of mobile technologies.
However, despite this character of being an emerging research field undergoing a rapid evolution there are already
attempts to create field-specific theory. Sharples et al. (2007) introduces the Theory of Mobile Learning which examines
how (mobile) learning stretches across locations, times, topics, and technologies. According to this theory, which is
discussed and extended in several papers (Sandberg et al., 2011; Petersen et al., 2011; Hsieh et al., 2010 etc.), learning
which takes place in one context can become a resource in other contexts. This effort of creating theory indicates
attempts to distinguish the MALL field from other scientific learning areas and theories by raising and discussing its own
theoretical perspective. Our study finds that there is, as yet, a lack of specific reference to mobile learning conceptual
frameworks and theoretical models, which makes it difficult to clearly distinguish the theory of mobile learning from
other learning theories and approaches. MALL theory development is work in progress.
The theories and models applied in the reviewed literature on MALL often originate from grand theories of learning,
including constructivism, social constructivism. Activity Theory and Sociocultural Theory are examples often mentioned
by studies on MALL (Nah et al., 2008, de Jong et al., 2010). One of the most fundamental concepts of Sociocultural
Theory is that the human mind is mediated (Lantolf 2000). This mediation is often assisted by the tool use. Hence mobile
technology use plays a dominant role in the process of meaning making in terms of mediated nature of human mind.
MALL research often employs learning theories where such mediation is an issue, including Situated Learning Theory
(Hsieh et al., 2010, Hwang & Chen, 2011), collaborative learning (Chang & Hsu, 2011; Lan et. al., 2007), self-paced
learning (Oberg & Daniels, 2012), and seamless learning integrating formal and informal ways and contexts of learning
(Wong et al. 2010; Wong & Looi, 2010).
In order to investigate learners’ perceived ease of use, perceived usefulness, intentions, and attitudes towards the use of
mobile technologies for language learning, TAM, an established theory for this purpose, is commonly applied (Chang &
Hsu, 2011; Huang et al., 2012). Most studies show that learners have a positive attitude towards the use of mobile
technologies for the second and foreign language acquisition, but there are differences. For example, Huang et al. (2012)
show that the designed system (ubiquitous English vocabulary learning system, UEVL) was readily accepted by the
students in the sample but while active students were concerned about the perceived usefulness of the system, passive
ones were more concerned about the perceived ease of use of the system.
There are theories emphasizing cognitive aspects of learning, such as the Cognitive Load Theory (CLT) which measures
the limits of people’s working memory capacity in order to investigate individuals’ working memory load when, for
example, using different specially designed intelligent systems for mobile devices for language learning (Chen et al.,
2008; Chen & Chang, 2011; Oberg & Daniels, 2012). Other models applied in the reviewed papers include Moderation
Model (Chen & Chang, 2011), Working Memory Model (Chen et al., 2008), and Structural Model (Huang et al., 2012).
A number of papers, however, do not have any clear theoretical background but are rather descriptive.
Despite the fact that many authors mention and make an attempt to define mLearning and mLearning theory in the
introductions to their studies, it is often unclear how these concepts and theories are operationalized.
What Aspects of MALL Are Being Researched? Studies analyzing the mobile technology’s use in the different aspects
of language learning have supported the idea that mobile technology can enhance learners’ second and foreign language
acquisition. Learners’ attitudes towards technologies, their intention to use it, and the various actual uses of mobile
technology integrated in their second and foreign language learning is a dominating research focus (Chang & Hsu, 2011;
Cheng et al., 2010 etc.). The impact of mobile technology on language learning has often been measured by individuals’
stated perceptions. This exemplifies what Orlikowski & Iacono (2001) call the proxy view of technology. Effectiveness
studies focus on how this technology is viewed by individual users where the perceptive, cognitive, and attitudinal
responses to technology become the critical variable in explaining mobile technology. This tool view of technology is
criticized as it fails to take into account the transformational nature of technology; technology brings with it changes not
only in procedures how we do things but also in our perceptions of what is doable or not, e.g. in terms of accessing
distant materials and people. Hence technology itself plays a role in reshaping people’s preferences, perceptions, and
attitudes and the new teaching and learning methods that evolve are co-constructed in a sociotechnical system rather than
engineered. This is called the ensemble view of technology (Orlikowski & Iacono, 2001), and this idea of sociotechnical
construction as opposed to purely social construction is something often lacking in MALL studies.
Three key themes have been identified. First, technological concepts of learning, where the mobile learning and
specifically MALL are often seen as the separate forms of learning together with more established learning theories like
constructivism and collaborative learning. A number of other approaches to learning such as situated learning, mobile
learning; authentic learning, self-paced learning are discussed when investigating individuals’ adoption and integration of
mobile technologies in their language learning.
Second, techno-centered concepts focus on technology itself as a means of communication between the learner and the
content as well as teacher and learner where a shift from sms-based learning towards the development and use of mobile
language learning applications in form of intelligent multimedia tutorial systems is noticeable. Finally, the learning
environment theme focuses on theoretical development and practical aspects of such environments. Much attention is
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paid to the different contexts of formal and informal learning, and how mobile technologies are available and can
contribute to the individual’s language learning acquisition in these different situations.
Despite the fact that a number of authors attempt to define and use the concept of MALL as an independent scientific
field, language learning with the support of mobile devices is often seen as a part of CALL (Chang & Hsu, 2011;
Sandberg et al., 2011 etc.), mobile-(assisted) learning (Hsu et al., 2008; de Jong et al., 2010). This conceptual ambiguity
indicates that the field of MALL needs more conceptualized knowledge in the form of field-specific definitions, theories,
models, and solid evidence on how the use of mobile technology can assist second and foreign language acquisition.
In What Ways does the Use of Mobile Technology Facilitate the Acquisition and Development of Linguistic
Knowledge and Language Skills? In terms of the gained linguistic knowledge and skills, most of the reviewed papers
examine vocabulary acquisition, listening and speaking skills, and language acquisition in more general terms. The
review finds several suggestions for language learning benefits in the use of MALL, such as integrating the mobile
technology in both formal and informal contexts; the ‘fun’ moment when engaging learners in authentic learning
contexts; the learners’ contribution to the creation of the learning content; the use of mobile devices to support the
practice of achieving listening and speaking skills effectively etc. Often the usefulness of the mobile technology use for
vocabulary acquisition is measured by surveying learners’ attitudes. There are also a number of studies attempting to
analyze the outcome in terms of learners’ language proficiency. However, as most studies are implemented within a short
period of time and involve a small number of participants, results are yet inconclusive in this respect.
Studies focusing on grammar learning, pronunciation and writing skills are underrepresented in the reviewed literature.
However there are the papers which analyze mobile technology applications on language acquisition in general terms
(Rosell-Aguilar, 2007; Fallahkhair et al., 2007; Petersen & Markiewicz, 2008, Liu et al., 2008; Cheng et al., 2010;
Abdous et al., 2012; Oberg & Daniels, 2011; Hsu, 2012), often indicate positive attitudes towards the mobile technology
use and suggest better results in terms of language proficiency. Very little attention is devoted to individuals’ language
learning strategies and learning styles when employing mobile devices for their language learning. This knowledge can
have a crucial impact on both educators, when for example designing language learning activities adopting mobile
devices (development of new applications and intelligent tutorial systems for mobile devices for language learners) and
learners, as they can achieve higher proficiency.
Are There Research Challenges in the Field of MALL Research that Require Further Investigation and What Can
Be Suggested for the Further Research? There is a lack of empirical studies providing concrete evidence on how the
mobile technology use can enhance individual’s language learning results. In order to ensure reliability longer studies and
larger test groups are required.
In terms of language knowledge and skills, more experimental cases testing more specifically how mobile technology can
assist and improve learners’ writing process, reading comprehension, pronunciation performance, and second language
grammar acquisition are needed.
Moreover, empirical research investigating the possible changes in individuals’ learning strategies when employing
mobile devices in their language learning is needed in order to be able to make the language acquisition process more
effective and to be able to influence the second and foreign language proficiency results. It would also be beneficial to
analyze the interconnection between individuals’ learning strategies, learning styles, and use of mobile technology. Such
knowledge would make an important contribution not only to educators and learners but also to systems developers.
From a pedagogical point of view, research on how the use of mobile technology affects individualstime management
when learning a new language is needed to understand if this technology can open additional learning possibilities, for
example in terms of engaged time.
Overall, more theory generating research developing mobile learning theory and constructing new theoretical models in
MALL is needed to be able to distinguish the field from other kinds of technology-assisted learning, such as CALL.
REFERENCES
Abdous, M., Facer, B.R., Yen, C.-J. (2012). Academic effectiveness of podcasting: A comparative study of integrated versus
supplemented use of podcasting in second language classes. Computers and Education, 58, 43-52.
Albers, M., & Kim, L. (2001). Information design for the small-screen interface: an overview of web design issues for personal digital
assistants. Technical Communications, 49 (1), 45-60.
Chang, C.-K., & Hsu, C-K. (2011). A mobile-assisted synchronously collaborative translation-annotation system for English as a
foreign language (EFL) reading comprehension. Computer Assisted Language Learning, 24(2), 155-180.
Chen, N.-S., Hsieh, S.-W., Kinshuk (2008). Effects on short-term memory and content representation type on mobile language
learning. Language Learning and Technology, 12(3), 93-113.
Cheng, S.-C., Hwang, W.-Y., Wu. S.-Y., Shadiev, R.,& Xie, C.-H. (2010). A mobile device and online system with contextual
familiarity and its effects on English learning on Campus. Educational Technology and Society, 13(3), 93-109.
Chen, I.-J., & Chang C.-C. (2011). Content presentation modes in mobile listening tasks: English proficiency as a moderator.
Computer Assisted Language Learning, 24(5), 451-470.
de Jong, T., Specht, M., & Koper, R. (2010). A Study of Contextualised Mobile Information Delivery for Language Learning.
Educational Technology & Society, 13(3), 110125.
8
Godwin-Jones, R. (2011). Emerging Technologies. Mobile Apps for Language Learning. Language Learning and Technology, 15(2),
2-11.
Grönlund, Å., & Andersson, A. (2006). "e-Gov Research Quality Improvements Since 2003: More Rigor, but Research (Perhaps)
Redefined." In Wimmer, M.A., Scholl, H.J., Grönlund, Å., Andersen, K.V. (2005) Electronic Government. Proceedings of 5th
International Conference, EGOV 2005. Krakow, Poland, September 2006. Heidelberg: Springer, Lecture Notes in Computer Science,
LNCS 4084, 1-13.
Fallahkhair, S., Pemberton, L., & Griffiths, R. (2007). Development of a cross-platform ubiquitous language learning service via
mobile phone and interactive television. Journal of Computer Assisted Learning, 23, 321-325.
Hsieh, W.-J., Chiu, P.-S., Chen, T.-S., Huang, Y.-M. (2010). The effect of situated mobile learning in Chinese rhetoric ability of
elementary school students. The 6th IEEE International conference of Wireless, Mobile, and Ubiquitous Technologies in Education,
DOI 10.1109/WMUTE.2010.36, 177-181.
Hsu, L. (2012). English as a foreign language learners’ perception of mobile assisted language learning: a cross-national study.
Computer Assisted Language Learning, 1, 1-17.
Hsu, H.-Y., Wang, S.-K., & Comac, L. (2008). Using audioblogs to assist English-language learning: an investigation into student
perception. Computer Assisted Language Learning, 21(2), 181-198.
Huang, Y.-M., Huang, Y.-M., Huang, S.-H., Lin, Y.-T. (2012). A ubiquitous English vocabulary learning system: Evidence of
active/passive attitudes vs. usefulness/ease-of-use. Computers and Education, 58, 273-282.
Hwang, W.-Y., & Chen, H., S.L. (2011). Users’ familiar situational contexts facilitate the practice of EFL in elementary schools with
mobile devices. Computer Assisted Language Learning, 1, 1-25.
Kukulska-Hulme, A., Shield, L. (2008). An overview of mobile assisted language learning: From content delivery to supported
collaboration and interaction. ReCALL, 20(3), 271-289.
Kukulska-Hulme, A. (2009). Will mobile learning change language learning? ReCALL, 21(2), 157-165.
Lan, Y.J., Sung, Y. T., & Chang, K.E. (2007). A mobile-device supported peer-assisted learning system for collaborative early EFL
reading. Language Learning & Technology, 11(3), 130-151.
Lantolf, J.P. (2000). Sociocultural Theory and Second Language Learning. Oxford: OUP Oxford.
Liu, J., Yu, S., Ran, M. (2008). Research in the communicative mobile English learning model. Fifth IEEE International conference of
Wireless, Mobile, and Ubiquitous Technologies in Education, DOI 10.1109/WMUTE.2008.26, 60-64.
Nah, K., C., White, P., & Sussex, R. (2008) The potential of using a mobile phone to access the Internet for learning EFL listening
skills within a Korean context. ReCALL, 20(3), 331-347.
Oberg, A., & Daniels, P. (2012). Analysis of the effect a student-centered mobile learning instructional method has on language
acquisition. Computer Assisted Language Learning, 1, 1-20.
Ogata, H., & Yano, Y. (2005). Knowledge awareness for computer-assisted language learning using handhelds. International Journal
of Learning Technology, 5(1), 435-449.
Ogata, H., Yin., C., El-Bishouty, M. M. and Yano, Y. (2010). Computer supported ubiquitous learning environment for vocabulary
learning. International Journal of Learning Technology, 5 (1), 5-24.
Orlikowski, W.J., & Iacono, S.I. (2001). Research Commentary: Desperately Seeking the “IT” in IT Research A Call to Theorizing
the IT Artifact. Information System Research, 12(2), 121-134.
Pachler, N., Bachmair, B., Cook, J. (2010). Mobile Learning. Structures, Agency, Practices. London: Springer.
Petersen, S., A., Markiewicz, J.-K. (2008). PALLAS: Personalised Language Learning on Mobile Devices. Fifth IEEE International
Conference on Wireless, Mobile, and Ubiquitous Technology in Education DOI 10.1109/WMUTE.2008.17, 52-59.
Petersen, S., A., Sell, R., Watts, J. (2011). Let the students lead the way: an Exploratory Study of Mobile Language Learning in a
Classroom. In the Proceedings of the 10th World Conference on Mobile and Contextual Learning, 55-61.
Rosell-Aguilar, F. (2007). Top of the pods-in search of a podcasting “podagogy” for language learning, Computer Assisted Language
Learning, 20(5), 471-492.
Sandberg, J., Maris, M., De Geus, K. (2011). Mobile English Learning: An evidence-based study with fifth graders. Computers and
Education, 57, 1334-1347.
Thornton, P., & Houser, C. (2005). Using mobile phones in English education in Japan. Journal of Computer Assisted Learning, 21,
217-228.
Sharples, M., Taylor, J., & Vavoula, G. (2007). A theory of learning for the mobile age. In Andrews, R. & Haythormthwaite, C. (eds),
The Sage Handbook of E-learning Research. London: Sage, 221-247.
Webster, J., & Watson, R. (2002). Analyzing the past to prepare for the future: writing a literature review. MIS Quarterly, 26(2), xiii-
xxiii.
Wong, L.-H., Chin, C.-K., Tan, C.-L., & Liu, M. (2010). Students’ Personal and Social Meaning Making in a Chinese Idiom Mobile
Learning Environment. Educational Technology & Society, 13(4), 15-26.
Wong, L.-H., & Looi, C.-K. (2010). Vocabulary learning by mobile-assisted authentic content creation and social meaning-making:
two case studies. Journal of Computer Assisted Learning, 26, 421-433
Wong, L.-H., & Looi, C.-K. (2011). What seams do we remove in mobile-assisted seamless learning? A critical review of the
literature. Computers and Education, 57, 2364-2381.
... In contrast to traditional methods, Mobile-Assisted Language Learning (MALL) and mobile learning (MLearning) introduce a new paradigm. MALL offers students the flexibility to interact with the language both during and outside of class sessions through personalized, self-paced, and learner-centered activities (Viberg and Grönlund, 2012). Furthermore, the ubiquity of mobile phones and their connectivity capabilities ensure that knowledge is always accessible, fostering a continual desire to learn. ...
... Over the course of six sessions, there was a noticeable shift in students' attitudes towards English learning; they became more engaged and less prone to distractions, attributing to the focused and personalized learning experience facilitated by Duolingo. This observation is supported by the work of Viberg and Grönlund (2012), and Kukulska-Hulme (2016, who emphasize that MALL enables language engagement that is personalized, self-directed, and learner-centered. ...
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... Alruwais (2018) also points out that there are significantly different opportunities and requirements in different domains. In science domains, interactive simulations and virtual experiments have been shown to enhance learners' engagement and conceptual understanding (de Jong et al., 2014), while language learning assessments may benefit from authentic audio samples (Viberg & Grönlund, 2012). However, if text-based materials are transferred to multimedia formats, the congruence with the original text-based content, the targeted competencies, and the core learning objective must be ensured (Supsakova, 2016). ...
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The use of e-assessments has gained significant prominence in educational settings as they offer a range of benefits such as improved scalability, accessibility, and cost-effectiveness. This chapter discusses the possibilities of addressing diversity in educational e-assessments. We propose a workaround using assessment analytics to identify test items prone to diversity-related performance differences. Based on this, we offer theory-guided suggestions on how diversity-appropriate assessments could be realized. In a proof of concept using data collected in a mock e-assessment, we demonstrate a workaround for identifying potential diversity biases on the item-level with small sample sizes. To put this into practice, a technical infrastructure using Experience API is proposed. Based on established cognitive theories focusing on learning processes, it is outlined how the flexibility of e-assessments regarding item presentation can be used to address the needs and preferences of diverse test takers. The chapter concludes by highlighting the potential of e-assessments to address diversity and proposes perspectives for research and practical application.
... It is consistent with a great number of findings from previous studies (Hsu and Lin, 2021;Ebadi and Raygan, 2023). Language learners tend to prefer MALL apps characterized by simple interface design, efficient functionality, and enhanced interactive experiences, as these attributes help them save much time in adapting to the MALL (Viberg and Grönlund, 2012). ...
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... These narratives shed light on GEN-AI's potential to impart advanced skills, reshape workforce roles, and address implications for human agency and digitalization. Higher education institutions are actively investing in GEN-AI to provide personalized support to students by leveraging educational data mining and learning analytics to create intelligent virtual classrooms (Viberg & Grönlund, 2012;Viberg et al., 2018). However, the outcomes of these technological advancements vary widely, sparking extensive discussions on perceptions, acceptance, and their impact on education. ...
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This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study aims to reveal the crucial roles that these factors play in shaping the intention to embrace Gen-AI. Through the utilization of a hybrid approach that combines Structural Equation Modeling (SEM) and Artificial Neural Networks (ANN), the research examines the complex relationships among these predictors and their overall impact on the adoption of Gen-AI. By examining a diverse cohort of 242 participants, including undergraduate and postgraduate students, as well as faculty members from Indian Higher Education Institutions, the research uncovers significant determinants such as perceived ease of use, usefulness, TPACK, and trust. Interestingly, perceived usefulness does not emerge as a significant factor in influencing the intention to adopt AI in Higher Education. Through demographic analysis using the SPSS statistical tool package, the study reveals non-compensatory and nonlinear relationships between age, gender, and the intention to use AI. By leveraging the significant predictors identified through SEM, the developed ANN model accurately predicts the intention to use AI with a 71% accuracy rate. This study not only provides valuable insights into the theoretical foundations but also offers practical implications for the seamless integration of Gen-AI in higher education.
... This approach, which has its roots in the traditional teaching of Latin and Greek, focuses on the explicit teaching and understanding of grammatical rules and the translation of texts between the target language and the native language (Chang, 2011). MALL apps that adopt this approach, such as Duolingo, typically feature a structured curriculum that guides learners through a series of lessons and activities centred on drilling and emulating vocabulary and sentence structures (Duman et al., 2015;Nami, 2020;Viberg & Grönlund, 2012). ...
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... Since 1960, English has been increasingly used as a lingua franca. The use of mobile devices to learn and teach a foreign language (L2) has attracted interest from scholars, some of whom have conducted systematic reviews of Mobile-Assisted Language Learning (MALL); see for instance, Viberg & Grönlund (2012), Kamasak et al. (2021) or Nur et al. (2022). This trend will likely continue as wireless and mobile technologies advance. ...
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... Mobile learning can positively contribute to second language learning through its applications that reflect communicative, authentic and contextualized materials. Viberg and Grönlund (2012) state that "it [is] difficult to distinguish the theory of mobile learning from other learning theories and approaches" (p. 14); therefore, exploring mobile learning and second language learning in depth through a Submitted February 20 th 2016, accepted for publication March 20 th , 2016 combination of authentic and communicative approaches reveals a supportive environment for ESL adult learners. ...
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Acknowledging the importance of information and communication technology for enhancing and supporting English language learning (White, 2006), this paper explores using mobile technology in language education. In particular, it focuses on the role of the Twitter app in assisting language learning through a combination of authentic and communicative methods and approaches, and reveals that the Twitter app can produce a unique learning environment, which, coupled with its social acceptance, has the potential to make it an exceptionally useful tool for integrating language learning into learners' lives outside traditional learning environments. 1. TECHNOLOGY AND EDUCATION Information and Communication Technologies (ICT) are so fundamental to human activity that is not surprising to witness the massive impact of ICT on all aspects of life including education. Nowadays, adult learners are usually agitated by various distractions inside and outside the classroom. That is to say that the stereotyped teaching methods are unpopular in this era of ICT generation. Its pedagogical importance emerges from the key role that ICT plays in enhancing and supporting the learning of a second language (White, 2006). Despite the fact that language theories attempt to justify the factors determining the success and failure of second language acquisition and learning, there is still no concise agreement on consensus or dominant theory (Ellis, 2008). However, research has convincingly shown that ICT has an ultimate impact on scaffolding second language learning. The rapid development in ICT and sciences, especially the integration of mobile learning approaches in language learning and teaching offer a favorable language learning atmosphere for educators and learners of diverse individual differences, learning styles, and cultural and educational backgrounds, through its audiovisual applications. The integration of mobile applications in second language learning and teaching is considered as a phenomenal success. Mobile learning can positively contribute to second language learning through its applications that reflect communicative, authentic and contextualized materials. Viberg and Grönlund (2012) state that "it [is] difficult to distinguish the theory of mobile learning from other learning theories and approaches" (p. 14); therefore, exploring mobile learning and second language learning in depth through a
... MALL has involved computer-assisted language learning (CALL) and mobile learning (Cakmak, 2019;Viberg & Grönlund, 2012); it differs from CALL for its personal use and portability across different contexts. ...
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This study aims to investigate the Chinese undergraduate students’ attitudes toward using mobile-assisted language learning (MALL) in the English language learning. This study used quantitative method and focus on descriptive research design. 375 participants were selected by convenience sampling form population to do questionnaire survey. The findings presented that students have a moderately high level of attitude toward MALL (M=3.666, SD = 0.545) at the Yuxi Normal university. They are willing to try to learn and master the ability to learn using mobile devices if they are guided and taught. Based on research findings, it shows students need to receive some appropriate pre-training on the proper use of MALL to learn English. In addition, students may seek help from their teachers because they have problems they cannot solve when using MALL. Therefore, teachers also need to be trained to have the theoretical knowledge of how to operate MALL to provide better assistance to students.
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In the modern digital age, educational technologies have become valuable resources that effectively support language learning and facilitate the development of various language skills. Among these skills, listening proficiency is of paramount importance as it is indispensable for effective communication and comprehension. With the increasing popularity of communicative approaches, the integration of educational technologies into language instruction has gained momentum due to their ability to provide learners with authentic listening experiences, exposure to diverse accents, and targeted practice opportunities. Considering the potential advantages of these technologies, the present study explores the efficacy of VoScreen in enhancing listening skills at the tertiary level. The study included 45 EFL learners at the tertiary level. Quantitative data were gathered through a pretest and a posttest while qualitative data were obtained through an evaluation and suggestion form. The findings revealed a statistically significant difference in learners' pretest and posttest listening scores. Moreover, learners' evaluations highlighted the contribution of VoScreen to their success in the target skill and other sub-skills. This study sheds light on the promising potential of educational technologies for enhancing learners' listening abilities.
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Mobile-assisted language learning (MALL) has entered students' educational life with a rising momentum. For this reason, it is necessary to determine the needs of English language curricula, teachers, and students in terms of mobile-assisted language learning. In this study, a convergent parallel design of mixed methods was used. The study group of research consists of 130 high school students and 5 teachers working in secondary education institutions. A mobile application adoption scale was used for the data collected from the students. Semi-structured interviews were conducted with teachers. As a result of the research, it was concluded that students find mobile applications useful and adopt them, and teachers need to be informed about the MALL. It was also found that mobile applications should support the target learning outcomes and cover all four language skills.
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At the same time that increasing amounts of information are being disseminated using Web interfaces, personal digital assistants (PDAs) or handheld computing devices have proliferated. However, as the ways that we need to use information grow, and as the range of information available online continues to diversify, our basic Web design assumptions should be examined to determine how the small, low-resolution screen, predominantly text-based design, and relatively cumbersome interfaces affect information search and retrieval.Reliance on these assumptions may be particularly critical when they are applied to PDA use intended to support task-specific browsing, as opposed to more typical Web browsing in which users engage in open-ended, exploratory behavior. The user's ability to access information—including locating and relocating information, comprehending the material, building mental models, and remembering found information—may differ from user performance with desktop interfaces in substantive ways.In the near future, we expect these issues to have a major impact on information design as more and more information is accessed through PDAs. This article charts a theoretical framework for understanding differences between handheld and full-sized Web environments, and identifies design issues for further research.
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This pilot study investigates how the use of audioblogs can help to meet an instructor's need to improve instruction in English as a second language (ESL). In this study, the instructor uses audioblogs to manage oral assignments, to interact with learners, and to evaluate performance outcomes. Learners record oral assignments through cellular phones, and maintain an individual audioblog in which they submit and archive the oral assignments. The instructor interacts with each learner through the individual audioblog to enhance his or her learning according to individual needs. Using mixed methodology (survey, open-ended questions, interview, and analysis of blogs), this study explores how the instructor's interaction with learners through audioblogs improves learners' oral English performance. The results indicate that the use of audioblogs meets the instructor's instructional needs, providing an efficient and effective way to evaluate students' oral performance and permitting individualized oral feedback. In addition, learners enjoy the ease of using audioblogs and believe that audioblogs assist their language-learning experience. This study also discusses the challenges that users of audioblogs face in the process of English-language instruction, and the implications of audioblog in language learning.
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It wasn't that long ago that the most exciting thing you could so with your new mobile phone was to download a ringtone. Today, new iPhone or Android phone users face the quandary of which of the hundreds of thousands of apps (applications) they should choose. It seems that everyone from federal government agencies to your local bakery has an app available. This phenomenon, not surprisingly has led to tremendous interest among educators. Mobile learning (often " m-learning" ) is in itself not new, but new devices with enhanced capabilities have dramatically increased the interest level, including among language educators. The Apple iPad and other new tablet computers are adding to the mobile app frenzy. In this column we will explore the state of language learning apps, the devices they run on, and how they are developed.
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This research introduced mobile devices into an intensive reading course and allowed functions that are usually found only in the language laboratory to be easily and flexibly utilized in the general classroom. To enhance and improve the reading comprehension of English as a foreign language (EFL) readers, a computer-assisted-language-learning (CALL) system for use on PDAs, integrating an instant translation mode, an instant translation annotation mode, and an instant multi-users shared translation annotation function was developed to support a synchronously intensive reading course in the normal classroom. Experiments were conducted to analyze the usage of the system, including the attitude and satisfaction of users. Moreover, the study determined the optimum number of users in each group for the system to work most efficiently, and for students to improve their reading comprehension. Experimental results indicated that those students who were grouped into twos, threes, and fours had significantly higher levels of comprehension than individual students, but those grouped into fives did not. Overall, on average around 70% of the students agreed that the system was useful, 75% of the students agreed that the system was easy to use, and 66% of the students perceived satisfaction with the system. The user intentions were also further analyzed in light of a path analysis method.
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While mobile devices are gradually starting to play an important role in the everyday lives of students, learning English on mobile phones is no longer a novelty for English as a foreign language (EFL) learners. While there is a wealth of literature that discusses the application of information and communication technologies (ICTs) in EFL education, studies on mobile assisted language learning (MALL) are still needed. This study aims to investigate the end-user's perception of MALL through cross-cultural analyses. Forty-five participants (n = 45) from seven different countries/regions voluntarily participated in this project. Cross-cultural analyses were conducted with three proposed constructs: technological affordances, applicability and the constructivism of MALL. Results of the Kruskal–Wallis ANOVA and Dunnett's T3 multiple comparison revealed that significant differences did exist among participants with different cultural backgrounds. Even so, all participants agreed that MALL is a potential tool for constructivism in EFL learning.
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In this study a self-paced instructional method based on the use of Apple's iPod Touch personal mobile devices to deliver content was compared with a group-oriented instructional method of content delivery in terms of learner acquisition of course material. One hundred and twenty-two first-year Japanese university students in four classes were used in the study. The subjects were placed in two experimental groups and two control groups, and each researcher taught one control and one experimental group. An independent samples t-test performed on the groups’ placement scores on the university's English entrance examination showed no significant difference between the two groups in terms of general English ability at the outset of the experiment. During the treatment sessions the control groups studied in a group-oriented classroom environment while the experimental groups studied the same course material but did so with a self-paced method that used Apple's iPod Touch personal mobile devices. As such, the subjects in the experimental group were allowed to study at a rate they chose rather than having the timing of the language input controlled by the teacher. The curriculum for both the control and experimental groups was based on the course textbook (Science English: Communication skills for scientists and engineers, Daniels, 2007, Tokyo: Thomson). The same standardized tests were given to all students involved in the study and the scores of the control and experimental groups were analysed using independent samples t-tests supported by Mann–Whitney tests. The post-treatment data showed a significant difference emerge between the groups, while the experimental group scored consistently higher than the control group. Results of a post-treatment survey given to the experimental group also indicated very positive learner attitudes towards the self-study iPod Touch-based instructional method.
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It is beneficial for students to experience situational learning, especially for English as a foreign language (EFL) learning. Providing more listening and speaking opportunities could help EFL students with English learning. Our research proposes a listening and speaking practice system employing personal digital assistants (PDAs) for situated learning using contexts with which students would be familiar. The proposed system attempts to help participating EFL students by presenting learning contexts in familiar situations, such as during lunch at school. The results show that the proposed system and designed activities provided EFL elementary school students with listening and speaking practice opportunities in basic vocabulary and simple sentences with the support of familiar, situational learning. In the experiment, the experimental group learned multimedia-based learning materials about food materials at lunch with PDAs. In contrast, the control group learned via paper-based learning materials in class without real contextual support. After the experiment, findings reveal that the experimental group significantly outperformed the control group in learning achievement. By providing recommended sample voices recorded by peers, students in the experimental group could repeatedly listen to the recordings in familiar situations, thus obtaining more opportunities to practice and interact with peers later. The other significant finding is that the number of peers used to practice speaking English in daily contexts, defined as practice diversity, was significantly correlated to learning improvement. That is, when students practiced speaking English with an increased number of peers, in familiar contexts, their English skills improved. After interviews with students, an interesting phenomenon was identified; students in the experimental group extended their learning from school to home. Furthermore, students’ learning was not only a deliberate event or situation – learning also took place spontaneously in their daily lives. Therefore, the proposed system and activities can help EFL students, particularly novices, listen to and speak English in familiar situational contexts.
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This study investigated whether the modality effect of content presentation modes on students' cognitive load and listening comprehension depends on the moderating effect of the learners' language proficiencies in a mobile learning context. One hundred and sixty-two students majoring in English in a technology university used personal digital assistants (PDAs) as the learning tool for a mobile listening comprehension activity. Participants were randomly assigned to one of two presentation modes: (1) a single mode in which students were engaged in auditory materials only and (2) a dual mode in which they were exposed to audio and textual inputs simultaneously. Hierarchical regression was employed to examine the moderating effect of the learners' proficiencies. The results confirmed the moderator role of English proficiency on cognitive load: students with lower proficiency appeared to be more perceptive of the text aid. However, the moderating effect was not obtained on the task performance in that students provided with the dual mode outperformed their single mode counterpart across the proficiency level. This study recommends that written text be displayed when students are engaged in a mobile English listening comprehension task to reduce learners' cognitive load. The study also provides pedagogical implications for mobile language learning.
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Abstract This paper describes the development processes for a cross-platform ubiquitous language learning service via interactive television (iTV) and mobile phone. Adapting a learner-centred design methodology, a number of requirements were gathered from multiple sources that were subsequently used in TAMALLE (television and mobile phone assisted language learning environment) development. A number of issues that arise in the context of cross-platform user interface design and architecture for ubiquitous language learning were tackled. Finally, we discuss a multi-method evaluation regime to gauge usability, perceived usefulness and desirability of TAMALLE system. The result broadly revealed an overall positive response from language learners. Although, there were some reported difficulties in reading text and on-screen display mainly on the iTV side of the interface, TAMALLE was perceived to be a usable, useful and desirable tool to support informal language learning and also for gaining new contextual and cultural knowledge.