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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
Denman, Christopher, Ed.; Al-Mahrooqi, Rahma, Ed. – IGI Global, 2019
Different regions of the world are making increasing demands for educational reform, especially when institutions are dissatisfied with the level of proficiency of their graduates. Since the realization of how important English education is to global success, reform to English education is becoming progressively vital in societies all over the…
Descriptors: Curriculum Development, Educational Change, Second Language Instruction, Second Language Learning
Mampadi, Freddy; Chen, Sherry Y.; Ghinea, Gheorghita; Chen, Ming-Puu – Computers & Education, 2011
In the past decade, a number of adaptive hypermedia learning systems have been developed. However, most of these systems tailor presentation content and navigational support solely according to students' prior knowledge. On the other hand, previous research suggested that cognitive styles significantly affect student learning because they refer to…
Descriptors: Cognitive Style, Student Attitudes, Computer Assisted Instruction, Prior Learning
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.; Kommers, Piet, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the International Conference e-Learning 2017, which was organised by the International Association for Development of the Information Society, 20-22 July, 2017. This conference is part of the Multi Conference on Computer Science and Information Systems 2017, 20-23 July, which had a total of 652 submissions.…
Descriptors: Electronic Learning, Online Courses, Teaching Methods, Information Literacy
Spear Ellinwood, Karen Courtenay – ProQuest LLC, 2011
This study explores the web-navigation practices of adult learners in higher education and re-conceptualizes the concept of the organizing circumstance of self-managed learning, originated by Spear and Mocker (1984). The theoretical framework draws on funds of knowledge theory from a cultural historical perspective and elaborates a Vygotskian…
Descriptors: Adult Learning, Adult Students, Learning Experience, Internet
Schiaffino, Silvia; Garcia, Patricio; Amandi, Analia – Computers & Education, 2008
In this paper we present eTeacher, an intelligent agent that provides personalized assistance to e-learning students. eTeacher observes a student's behavior while he/she is taking online courses and automatically builds the student's profile. This profile comprises the student's learning style and information about the student's performance, such…
Descriptors: Cognitive Style, Distance Education, Online Courses, Profiles

Wang, X. Christine; Hinn, D. Michelle; Kanfer, Alaina G. – Journal of Research on Technology in Education, 2001
Investigates the effects of computer-supported collaborative learning (CSCL) on learning style changes, learning outcomes, and learner satisfaction in a study conducted at the University of Illinois at Urbana-Champaign. Results based on Kolb's Learning Style Theory and Learning Style Inventory showed CSCL supports diverse learning styles.…
Descriptors: Cognitive Style, Computer Assisted Instruction, Higher Education
Yoder, Marianne E. – Nursing and Health Care, 1994
A study found that learners with reflective-observing learning styles (n=16) tend to learn better with linear video, and those with active experimenting learning styles (n=42) tend to achieve greater learning with computer-assisted interactive video instruction. (JOW)
Descriptors: Cognitive Style, Computer Assisted Instruction, Educational Technology, Higher Education

Beishuizen, Jos J.; Stoutjesdijk, Evelien T. – Learning and Instruction, 1999
Studied the relationships between learning styles as expressed in questionnaires and actual study strategies in a computer-assisted study environment (CASE) for 41 Dutch college freshmen. The diagnostic study task revealed differences between deep- and surface-learning students in orientation and planning activities, but not in actual study…
Descriptors: Cognitive Style, College Students, Computer Assisted Instruction, Foreign Countries

Pillay, Hitendra – Educational Psychology: An International Journal of Experimental Educational Psychology, 1998
Explores a study investigating the effect of individual cognitive styles on learning through computer-based instruction. Identifies a significant difference between the cognitive styles on test scores, in particular the Wholist/Verbaliser group, and indicates a potential for cognitive styles to influence learning outcomes measured by performance…
Descriptors: Cognitive Style, Computer Assisted Instruction, Higher Education, Individual Differences

Campanizzi, J. A. – AEDS Journal, 1978
Achievement gain was significantly greater under learner control than under program control. (Author)
Descriptors: Academic Achievement, Cognitive Style, Computer Assisted Instruction, Higher Education

Hofsteter, Fred T. – Journal of Research in Music Education, 1981
Presents the results of a study in aural training that analyzed freshman music majors' responses to rhythmic dictation exercises in the GUIDO system. An analysis of the data showed perceptual patterns and learning styles common to exercises in both simple and common meters. (AM)
Descriptors: Auditory Training, Cognitive Style, Computer Assisted Instruction, Educational Research

Mau, Wei-Cheng; Jepsen, David A. – Journal of Counseling Psychology, 1992
Compared decision-making strategies and college major choice among 113 first-year students assigned to Elimination by Aspects Strategy (EBA), Subjective Expected Utility Strategy (SEU), and control groups. "Rational" EBA students scored significantly higher on choice certainty; lower on choice anxiety and career indecision than "rational"…
Descriptors: Career Choice, Cognitive Style, College Freshmen, Computer Assisted Instruction

Ross, Jonathan; Schulz, Robert – British Journal of Educational Technology, 1999
This exploratory study investigated the impact of learning styles on human-computer interaction with undergraduate students. Measures used, including the Gregorc Style Delineator, are described, and results indicate that computer-aided instruction may not be the most appropriate method of learning for all students. (Author/LRW)
Descriptors: Cognitive Style, Computer Assisted Instruction, Higher Education, Interaction

Jones, Indra; Cookson, John – International Journal of Training and Development, 2001
Students in paramedic education used a model combining computer-assisted instruction (CAI), reflective practice, and learning styles. Although reflective practice normally requires teacher-student interaction, CAI with reflective practice embedded enabled students to develop learning style competencies and achieve curricular outcomes. (SK)
Descriptors: Cognitive Style, Computer Assisted Instruction, Emergency Medical Technicians, Foreign Countries