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Distribution of different sexes in the sample

Distribution of different sexes in the sample

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The purpose of this study was to compare the attitude of Iranian and non-Iranian English language students' attitudes towards Computer-Assisted Language Learning (CALL). Furthermore, the relations of gender, education level, and age to their attitude are investigated. A convergent mixed methods design was used for analyzing both quantitative and qu...

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... shown in Table 1, female was the dominant sex in the sample with over three quarters of the participants (75.2%). Only 103 of the 415 participants of the sample were male. ...
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... do this, the researchers administered the Multivariate Analysis of Variance (MANOVA). As Table 10 shows ...
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... the data for the questionnaire were not normally distributed (Skweness ration= -8.2), the researchers applied the non-parametric test of Mann-Whitney to check this research question. As Table 11 shows, the Asymptotic significant level of the Mann-Whitney test was .180 > .05. ...
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... the data for all the three constructs were not normally distributed (Skewness ratios= 11.07, -10.92, and -05.29), the researchers opted for the non- parametric test of Mann-Whitney. As Table 12 shows, the Mann-Whitney test revealed that there were significant differences between the computer literacy as well as between the attitudes of Iranian and non-Iranian English students toward CALL (p= .000 and .033, ...
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... the data for the questionnaire were not normally distributed (Skweness ration= -8.2), the researchers applied the non- parametric test of Mann-Whitney to check this research question. As it could be accessed in Table 13, Mann-Whitney test did not report any significant differences (p= .217 > .05). ...
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... the data for education level variable was not distributed normally (Skewness ratio= -8.2), the researchers selected the non-parametric Kruskal Wallis test for this purpose. As Table 15 depicts, the Asymptotic Significant level of Kruskal Wallis was .566, which is larger than .05, ...
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... delve into this matter further, the researchers decided to perform the Scheffe test as the post-hoc analysis. It could be learned from Table 17 that all the English students in the three different education level groups enjoyed means which fell within a homogeneous subset. Besides, the overall significant level of the three groups in the same subset was .751 ...
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... the researchers decided to perform the Kruskal Wallis test on each of the constructs to probe where significant differences among the scores of learners with different education levels could be reported. As Table 18 illustrates, Kruskal Wallis reported significant differences among the attitudes of learners with different education levels in computer literacy as well as in attitude towards CAL (p= .041 and .006, ...
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... delve into details further, the researchers also applied Scheffe post-hoc analysis to each of the constructs for different levels of education. The results, as outlined in Table 19, depict that for the construct of computer literacy, significant statistical difference only existed between the literacy of undergraduate and postgraduate English students (p= .020). In the general attitude, however, the only meaningful difference was reported between undergraduate and graduate English students (p= .022). ...
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... the other hand, 17 out of the 211 learners (8.1%) expressed that they had negative attitudes toward the application of CALL in English learning. As Table 31 shows, 4 of the learners admitted that CALL was useful, yet they stated that it does not substitute the real face-to-face classroom. Besides, 3 learners mentioned that CALL lacked teacher correction possibilities. ...

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... The oldest students (40+), however, prefer contents interesting for them (rather than those related to their fields of specialization) and are more willing to collaborate with language learners from other countries (see Fig.6). This contrasts with the findings by Tafazoli et al. (2018), who found that age was not related to the perspectives of English language learners regarding computer-assisted language learning (CALL). ...
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... The inconsistency in using the latest technology has put the students of one institute at a disadvantage with other institutes which make the most of these technologies and has resulted in generating a gap among the learners of the same level (Quratulain, 2017). Therefore, Tafazoli, Gómez-Parra, & Huertas-Abril (2018) have suggested that the implementation of Computer Assisted Language Learning (CALL) first requires the students to have CALL literacy. Moreover, the impacts of unawareness of modern computer technologies have been pointed out by Aminatun and Oktaviani (2019) who suggested in their research that students often get discouraged because of a lack of information about what they are learning and less motivation provided by the instructors, probably due to lack of technological knowledge. ...
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... The current scientific literature is profuse when identifying and exploring teachers' beliefs and perceptions towards the use of technology in education (cf. Koukis & Jimoyiannis, 2019;Tafazoli, Gómez, & Huertas, 2017), and scholars such as Koç (2014) claim that taking teachers' attitudes into consideration is important to enhance the teaching practice. ...
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... TELL and CALL have some disadvantages too, such as the inevitable technical problems, both students' and teachers' lack of training in how to use technology for educational purposes, the difficulty (or impossibility) to access the Internet, and the obvious extra efforts that teachers are required to make when planning ICT-based activities. Educators may even encounter the problem that they are not digitally competent enough (Beatty, 2010;Dina & Ciornei, 2013;Patel, 2017;Tafazoli et al., 2017). Likewise, Tafazoli and Golshan (2014) highlight financial limitations, students' problems when adapting to a new teaching model, and also teachers' uneasiness with using technology as specific barriers of CALL. ...
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... Larger samples can be found in Gafni et al. (2017), whose comparative study relied on 89 informants in two different populations, as well as in Jiang et al. (2021) who researched 135 Spanish learners along with 90 people learning French. Tafazoli's (2018) project involved 415 persons, while Cebron et al. (2021) worked with 1028 respondents in six European countries. Ages varied as well, including children (Ahmed 2016), teenagers (Gafni et al. 2017), college students (Charlene Tsai 2016), adults (Karasimos 2022;Jiang et al. 2021), or mixed samples (Aleksandrowska & Stanulewicz 2020). ...
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... Computer-Assisted Language Learning (CALL) is recognized as any application of technology in language education (Tafazoli et al. 2018). CALL has become an integral part of English as a Foreign/Second Language (EFL/ESL) because of its positive impacts on students' language achievements: oral skills (Hwang et al. 2016;Wang et al. 2018), reading comprehension (Yang and Qian 2020), writing (Awada et al. 2020;Li 2018;Wu et al. 2020), vocabulary (Hsieh 2020;Tsai 2019), English for Specific/Academic Purposes (ESP/EAP) (Ma 2020), interactions (Börekci and Aydin 2020), motivation (Lamb and Arisandy 2020), and attitude (Tafazoli et al. 2018(Tafazoli et al. , 2020a. ...
... Computer-Assisted Language Learning (CALL) is recognized as any application of technology in language education (Tafazoli et al. 2018). CALL has become an integral part of English as a Foreign/Second Language (EFL/ESL) because of its positive impacts on students' language achievements: oral skills (Hwang et al. 2016;Wang et al. 2018), reading comprehension (Yang and Qian 2020), writing (Awada et al. 2020;Li 2018;Wu et al. 2020), vocabulary (Hsieh 2020;Tsai 2019), English for Specific/Academic Purposes (ESP/EAP) (Ma 2020), interactions (Börekci and Aydin 2020), motivation (Lamb and Arisandy 2020), and attitude (Tafazoli et al. 2018(Tafazoli et al. , 2020a. ...
... Increasing the interest and motivation of students via CALL is another positive factor extracted which is stated by other scholars such as Yilmaz (2017). Motivation could be understood as the most significant component of instructional design (Keller 1979) which has a substantial influence on students' attitudes (Tafazoli et al. 2018) and learning behaviors in educational environments (Fairchild et al. 2005). ...
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