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Multiple Intellegence-Based Activities 

Multiple Intellegence-Based Activities 

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This research was focused on investigating the effect of multiple intelligence -based learning as a learning approach towards students' concept mastery and interest in learning matter. The one-group pre-test - post-test design was used in this research towards a sample which was according to the suitable situation of the research sample, n = 13 stu...

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... verbal linguistic intelligence was triggered through listening, watching video and presentation. The recapitulation of the multiple intelligence- based activities which were implemented during this study is summarized in Table 1. ...

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... It pertains to the ability to skilfully employ language for expressive purposes, such as rhetoric or poetry, as well as to comprehend and interpret the language of others (Gardner, 1983;Luo & Huang, 2019). It involves skills such as the ability to use complex words and phrases, communicate fluently verbally, and make persuasive arguments or compelling narratives (Pratiwi et al., 2018b). In the realm of language acquisition, individuals with elevated verbal-linguistic intelligence demonstrate greater proficiency in activities related to reading, writing, and oral communication within the target language (Shakouri et al., 2016). ...
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... Good concept mastery is also influenced by authentic assessment learning models. It approaches through project-based learning (Andanawarih, Diana and Amprasto 2019), STEAM (Wandari, Wijaya and Agustin 2018), multiple intelligence-based learning (Pratiwi, Rochintaniawati and Agustin 2018), and Brain-Based Learning (Sani, Rochintaniawati and Winarno 2019). In this study, the authors conducted research using a challenge-based learning (CBL) model to investigate the improvement of students' physics concept mastery. ...
... Students' concept mastery can be improved based on students' experience in solving challenges. In previous studies, the improvement in concept mastery was analyzed through the value of N-gain (Andriani, Sunyono and Abdurrahman 2018;Furqani, Feranie and Winarno 2018;Pratiwi, Rochintaniawati and Agustin 2018;Wandari, Wijaya and Agustin, 2018;Andanawarih, Diana and Amprasto 2019;Salsabila et al. 2019;Sani, Rochintaniawati and Winarno 2019). The progress in concept mastery was also analyzed using ANOVA test (Satriawan, Liliasari and Setiawan 2019;Amalia et al. 2020) and t-test (Setiawan, Sopandi and Hartati 2020). ...
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Multiple intelligence is intelligence possessed by every human being, among these intelligences are linguistic intelligence, musical intelligence, naturalist intelligence, visual-spatial intelligence, logic-mathematical intelligence, interpersonal intelligence, intrapersonal intelligence, and kinesthesis intelligence. Various methods are carried out by researchers to find out intelligence such as through numbers, images, music, words, physical and social-emotional activities. The purpose of this study is to decide and classify student intelligence based on multiple intelligence. The method used is Weighted Product (WP), Analytic Hierarchy Process (AHP) Simple Additive Weighting Method (SAW), ELimination Et Choix TRADITIONAL REAL (ELECTRE), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The four methods are a method that is in MADM and there have been many studies related to that method but no one has examined the determination of multiple intelligence related to these four methods. The results of the Weighted Product method calculation have the highest preference value 0.189261912 namely Verbal-Linguistic Intelligence, Analytical Hierarchy Process Method has the highest preference value 0.294117647 Verbal-Linguistic Intelligence, Simple Additive Weighting method has the highest preference value 0.677316667 verbal-Linguistic Intelligence and Technique for Order Preference by Similarity to Ideal Solution method has the highest value 0.679314281 Verbal-Linguistic Intelligence.
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