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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

Dewar, Tammy; Whittington, Dave – Journal of Educational Computing Research, 2000
Describes an experiment that looked at how adult learners made use of their Myers-Briggs Type Indicator (MBTI[R]), a personality assessment tool, type to cope with the challenges of learning in an online environment. Presents results of the experiment, and draws tentative conclusions. Provides notes related to the four psychological dimensions of…
Descriptors: Adult Learning, Adult Students, Cognitive Style, Computer Assisted Instruction
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
Mupinga, Davison M.; Nora, Robert T.; Yaw, Dorothy Carole – College Teaching, 2006
Each student comes to class with certain learning experiences, expectations, and needs that have to be addressed, and to which instructors need to be sensitive, to maximize the students' learning experiences. However, because of the unknown make-up of online classes, the characteristics of online students may be unclear, making it difficult to…
Descriptors: Cognitive Style, Expectation, Online Courses, Learning Experience

Davis, Michaeleen A.; Henry, Mary Janet – 1997
Non-traditional learners, adult learners who are age 21 or older, have many obstacles to overcome in their quest for knowledge. This paper investigates affective forces that influence non-traditional learners in a traditional computer lab and in a satellite-delivered instructional setting. Study participants consisted of 58 graduate and…
Descriptors: Adult Learning, Adult Students, Aspiration, Classroom Environment