کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
348159 618159 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Relationship between learning styles and genres of games
ترجمه فارسی عنوان
رابطه بین سبک یادگیری و سبکهای بازی
کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی علوم اجتماعی آموزش
چکیده انگلیسی


• Investigation of the relationship between learning styles and Genres of games.
• Learners with sequential learning style are related to their preference of puzzle games.
• Learners with sensing learning style are related to their preference on casual games.
• Recommending to learners the appropriate computer-based games for learning according to their learning styles.

Computer based games for learning, like any other computer games, have different genres. They can be categorized as action, puzzle, strategy, and so on. On the other hand, different learners have different characteristics, such as learning styles, personality and cognitive traits. Because of that, they receive and process information differently. Recommending computer based games for learning, based on which genre suits a learner’s characteristics best, could enhance learners’ motivation and lead to a better learning experience. In this context, this study investigates the relationship between one of the learner characteristics, namely learning styles, and genres of games. In particular, this study proposes four relationships between two dimensions of Felder-Silverman learning style and four genres of computer games. In order to validate the proposed relationships, experimentation was conducted in a tertiary school in Tunisia (ISIG Kairouan) in which 74 participants answered two questionnaires about preferences on genres of games and learning styles. Data gathered from the instruments was analyzed through the use of the statistical test Chi-square. Results of the experimentation validated two relationships among four and rejected two. The confirmed relationships can be exploited by teachers and E-Learning recommendation systems in order to provide more personalized recommendations to learners.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Education - Volume 101, October 2016, Pages 1–14
نویسندگان
, , , , , ,