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Duran, E. B.; Amandi, A. – Interactive Learning Environments, 2011
Student models are crucial components in personalised distance learning environments. These models usually include individual characteristics such as the level of knowledge of a given topic, the learning style or the type of personality, the level of participation and so on. However, when the focus is on group activities, these learning…
Descriptors: Cognitive Style, Individual Characteristics, Group Activities, Knowledge Level
Hsu, Hsiao-hui; Chang, Yu-ying – Online Submission, 2013
The increasing online access to courses, programs, and information has shifted the control and responsibility of learning process from instructors to learners. Learners' perceptions of and attitudes toward e-learning constitute a critical factor to the success of such system. The purpose of this study is to take TAM (technology acceptance model)…
Descriptors: Foreign Countries, Open Source Technology, Integrated Learning Systems, Computer Software Evaluation
Kartal, Erdogan; Uzun, Levent – Turkish Online Journal of Distance Education, 2010
In the present study we call attention to the close connection between languages and globalization, and we also emphasize the importance of the Internet and online websites in foreign language teaching and learning as unavoidable elements of computer assisted language learning (CALL). We prepared a checklist by which we investigated 28 foreign…
Descriptors: Check Lists, Second Languages, Global Approach, Second Language Learning
Ozkan, Sevgi; Koseler, Refika – Computers & Education, 2009
There has been little research on assessment of learning management systems (LMS) within educational organizations as both a web-based learning system for e-learning and as a supportive tool for blended learning environments. This study proposes a conceptual e-learning assessment model, hexagonal e-learning assessment model (HELAM) suggesting a…
Descriptors: Content Validity, Predictive Validity, Factor Analysis, Internet
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
Wang, Feng-Hsu – Educational Technology & Society, 2008
The WWW is now in widespread use for delivering on-line learning content in many large-scale education settings. Given such widespread usage, it is feasible to accumulate data concerning the most useful learning experiences of past students and share them with future students. Browsing events that depict how past students utilized the learning…
Descriptors: Feedback (Response), Instructional Materials, Internet, Models
Toral, S. L.; Barrero, F.; Martinez-Torres, M. R. – Computers & Education, 2007
This paper presents an exploratory study about the development of a structural and measurement model for the technological acceptance (TAM) of a web-based educational tool. The aim consists of measuring not only the use of this tool, but also the external variables with a significant influence in its use for planning future improvements. The tool,…
Descriptors: Educational Environment, Computer Assisted Instruction, Internet, Higher Education
Lonchamp, Jacques – International Journal of Computer-Supported Collaborative Learning, 2006
Future CSCL technologies are described by the community as flexible, tailorable, negotiable, and appropriate for various collaborative settings, conditions and contexts. This paper describes the key design issues of a generic synchronous collaborative learning environment, called Omega+. In this approach, model-based genericity is applied to the…
Descriptors: Models, Design Requirements, Evaluation Methods, Educational Technology