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Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Al-Qirim, Nabeel; Rouibah, Kamel; Tarhini, Ali; Serhani, Mohamed Adel; Yammahi, Aishah Rashid; Yammahi, Maraim Ahmed – Education and Information Technologies, 2018
This research investigates the personality characteristics of Information Technology students (CIT) in UAE University (UAEU) and how such features impact their IT learning. To achieve this objective, this research attempts to explain the impact of the Big-5 factors on learning using survey research. Results from 179 respondents suggested that…
Descriptors: Foreign Countries, Personality, Student Characteristics, College Students
Reynolds, John H.; Adams, D. Robert; Ferguson, Roger C.; Leidig, Paul M. – Information Systems Education Journal, 2017
For the past several years, there has been an increase in the number of job opportunities in the computing field. As a result, many schools and universities are facing a significant increase in the number of students seeking to major in one of several computing disciplines. This increase in the numbers and variety of majors in the computing field…
Descriptors: Personality Traits, Majors (Students), Computer Science Education, Higher Education
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