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Myers Briggs Type Indicator14
Learning Style Inventory4
Gregorc Style Delineator1
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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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Kamal, Anju; Radhakrishnan, Souhreda – Education and Information Technologies, 2019
Differences in styles of learning have become important considerations at all levels of education over the last several years. Examining college students' preferred style of learning is useful for course design and effective instructional methods. Using the Felder-Silverman Index of Learning Styles (ILS), and MBTI Inventories we investigate the…
Descriptors: Cognitive Style, Personality Traits, Preferences, Electronic Learning
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Fatahi, Somayeh – Education and Information Technologies, 2019
E-learning enables learners to learn everywhere and at any time but this kind of learning lacks the necessary attractiveness. Therefore, adaptation is becoming increasingly important and the recent research interest in the adaptive e-learning system. Since emotions and personality are important parts of human characteristics, and they play a…
Descriptors: Personality Traits, Electronic Learning, Comparative Analysis, Emotional Response
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Fatahi, Somayeh; Moradian, Shakiba – International Association for Development of the Information Society, 2018
Emotions and personality are important parts of human characteristics and they play a significant role in parts of adaptive e-learning systems, it is essential to consider them in designing these systems. This paper presents an empirical study on the impact of using an adaptive e-learning environment based on learner's personality and emotion.…
Descriptors: Emotional Response, Personality Traits, Electronic Learning, Educational Technology
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Cotler, Jami L.; DiTursi, Dan; Goldstein, Ira; Yates, Jeff; DelBelso, Deb – Information Systems Education Journal, 2017
In this paper we examine whether emotional intelligence (EI) can be taught online and, if so, what key variables influence the successful implementation of this online learning model. Using a 3 x 2 factorial quasi-experimental design, this mixed-methods study found that a team-based learning environment using a blended teaching approach, supported…
Descriptors: Undergraduate Students, Emotional Intelligence, Electronic Learning, Teaching Methods
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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Bolliger, Doris U.; Erichsen, Elizabeth Anne – Canadian Journal of Learning and Technology, 2013
The purpose of the study was to investigate differences in perceived student satisfaction in blended and online learning environments based on personality type. A total of 72 graduate students enrolled in blended and online courses at two research universities in the United States completed an abbreviated online version of the Myers-Briggs Type…
Descriptors: Electronic Learning, Online Courses, Personality, Graduate Students
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Tabor, Sharon W.; Minch, Robert P. – Journal of Information Technology Education: Research, 2013
Digital technologies offer many opportunities for creating engaging course content. In this study we captured student perceptions and adoption choices related to creating and using digital media as learning tools. Podcasts, video and other media were integrated in a variety of contexts and tasks in two undergraduate information technology (IT)…
Descriptors: Undergraduate Students, Student Attitudes, Adoption (Ideas), Electronic Learning
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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
Durham, Carol Fowler – ProQuest LLC, 2009
The purpose of this study was to examine the relationship between personality type and preference for instructional methodologies (lecture, online and simulation). The sample consisted of 94 practicing gerontology nurses (RNs and LPNs) who attended a continuing education workshop on the care of the acutely ill elder at a public university in the…
Descriptors: Personality Traits, Nurses, Continuing Education, Nursing Education
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Nguyen, Dat-Dao; Zhang, Yue – Journal of College Teaching & Learning, 2011
This study uses the Learning-Style Inventory--LSI (Smith & Kolb, 1985) to explore to what extent student attitudes toward learning process and outcome of online instruction and Distance Learning are affected by their cognitive styles and learning behaviors. It finds that there are not much statistically significant differences in perceptions…
Descriptors: Electronic Learning, Feedback (Response), Cognitive Style, Student Attitudes
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McNulty, John A.; Sonntag, Beth; Sinacore, James M. – Anatomical Sciences Education, 2009
Web-based computer-aided instruction (CAI) has become increasingly important to medical curricula. This multi-year study investigated the effectiveness of CAI and the factors affecting level of individual use. Three CAI were tested that differed in specificity of applicability to the curriculum and in the level of student interaction with the CAI.…
Descriptors: Medical Students, Cognitive Style, Computer Assisted Instruction, Student Surveys
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Ke, Fengfeng; Carr-Chellman, Alison – Quarterly Review of Distance Education, 2006
Research suggests that the solitary learner's learning preferences might be a mismatch with collaborative instructional settings. A question is therefore posed: "In online learning environments that require collaboration, how do solitary learners experience their own learning?" It is important to answer this question to understand and…
Descriptors: Electronic Learning, Online Courses, Cooperation, Computer Mediated Communication
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Rovai, Alfred P.; Grooms, Linda D. – Journal of Computing in Higher Education, 2004
The purpose of this study was to examine the relationship of personality-based learning styles and learning among graduate students enrolled in an online doctoral program that utilized the Blackboard[SM] e-learning system. Two measures of learning--course grades and perceived learning--were used. According to the Myers-Briggs Type Indicator[R],…
Descriptors: Graduate Students, Cognitive Style, Online Courses, Doctoral Programs