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Asogwa, Uche Donatus; Onwuneme, Chinonye Virginia; Ogbonna, Samuel C.; Nkanu, Celestine Unoh; Eze, Ben; Mohammad, Abdullahi – International Journal of Curriculum and Instruction, 2022
Learners have their dominant intelligence which gave rise to the different learning styles, a dominant mode of information reception, processing, and storage. The study will determine the extent each learner group perceives the use of Facebook for learning as useful and easy to use. 213 students purposively sampled from five departments which…
Descriptors: Student Attitudes, Preferences, Web 2.0 Technologies, Instructional Improvement
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
Cotler, Jami L. – ProQuest LLC, 2016
As computer-meditated communication continues to evolve and become more sophisticated and accessible, the applications for this technology continue to grow. One area that has garnered a considerable amount of attention is online teaching and learning. Research has shown increasing evidence that learning outcomes of face-to-face, in comparison to…
Descriptors: Personality Measures, Online Courses, Educational Technology, Emotional Intelligence
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
Lee, Chen Kang; Sidhu, Manjit Singh – Educational Technology & Society, 2015
Engineering educators have been increasingly taking the learning style theories into serious consideration as part of their efforts to enhance the teaching and learning in engineering. This paper presents a research study to investigate the learning style preference of the mechanical engineering students in Universiti Tenaga Nasional (UNITEN),…
Descriptors: Engineering Education, Cognitive Style, Measures (Individuals), Preferences
Cline, Melinda; St. John, Jeremy; Guynes, Carl S. – American Journal of Business Education, 2015
The purpose of this paper is to report a summary of the results of a study which examined the appropriateness of using business school students as surrogates for IT professionals by comparing cognitive styles, physiological characteristics, and basic demographic data among the two groups. Cognitive style refers to the way individuals think,…
Descriptors: Business Administration Education, Cognitive Style, Demography, Psychological Characteristics
Mellish, Linda L. – ProQuest LLC, 2012
Online learning continues to be a growing frontier in higher education with increased demand and enrollments reported annually (Allen & Seaman, 2010, 2011). Discovering best practices and methods of instruction as well as assisting students in determining their highest possible level of success in this type of learning environment has been the…
Descriptors: Online Courses, Personality Traits, Educational Technology, Correlation
Rose, Daniel Merritt – ProQuest LLC, 2012
The purpose of this research was to examine the connections between personality types as illustrated by the Myers Briggs Type Indicator and the desire for social presence components within a technology based learning environment. Participants in the study were undergraduate and graduate students enrolled in an educational technology program at a…
Descriptors: Personality Traits, Cognitive Style, Semi Structured Interviews, Feedback (Response)
Joyner, Fredricka F.; Mann, Derek T. Y.; Harris, Todd – American Journal of Engineering Education, 2012
Key macro-trends are combining to create a new work context for the practice of engineering. Telecommuting and virtual teams create myriad possibilities and challenges related to managing work and workers. Social network technology tools allow for unprecedented global, 24/7 collaboration. Globalization has created hyper-diverse organizations,…
Descriptors: Engineering Education, Interpersonal Competence, Cultural Awareness, Teleworking
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
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
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