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Tri Puspa Rinjeni; Nur Aini Rakhmawati; Reny Nadlifatin – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study identifies gamification element preferences based on Myers-Briggs Type Indicator (MBTI) characteristics. It measures the influence of preferences on learning motivation through a pre-experimental design of one group pre-test post-test. Background: Incorporating information technology in education has led to the introduction…
Descriptors: Foreign Countries, Personality Measures, College Students, Information Systems
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Theodoropoulos, Anastasios; Antoniou, Angeliki; Lepouras, George – ACM Transactions on Computing Education, 2017
Is there any relationship between students' cognitive style and the ability to learn programming through serious games? The aim of this work is to assess the learning effectiveness and motivational appeal of digital games for learning basic programming concepts, involving secondary education students. For this purpose, the Code.orgĀ®'s activity…
Descriptors: Foreign Countries, Cognitive Style, Computer Science Education, Programming
Fatahi, Somayeh; Moradi, Hadi; Farmad, Elaheh – International Association for Development of the Information Society, 2015
Learning Style (LS) is an important parameter in the learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments. Consequently, an important capability of an e-learning system could be the automatic determination of a student's learning style. In this paper, a set of…
Descriptors: Foreign Countries, Cognitive Style, Electronic Learning, Student Behavior
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Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung – Educational Technology & Society, 2013
A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…
Descriptors: Electronic Learning, Extraversion Introversion, Individual Differences, Learning Activities
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Mehigan, Tracey J.; Pitt, Ian – International Journal of Game-Based Learning, 2012
Adaptive learning systems tailor content delivery to meet specific needs of the individual for improved learning-outcomes. Learning-styles and personalities are usually determined through the completion of questionnaires. There are a number of models available for this purpose including the Myer-Briggs Model (MBTI), the Big Five Model, and the…
Descriptors: Cognitive Style, Teaching Methods, Educational Games, Telecommunications
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Johnston, Kevin A.; Andersen, Barry K.; Davidge-Pitts, Jennifer; Ostensen-Saunders, Mark – Journal of Information Technology Education, 2009
Literature relating to personality and entrepreneurship has focused primarily on personality characteristics of traditional entrepreneurs. The focus of this study was on personality characteristics and temperaments of potential Information and Communication Technology (ICT) entrepreneurs. The main objective of the study was to evaluate the…
Descriptors: Personality Traits, Information Technology, Entrepreneurship, Foreign Countries