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An Early Feedback Prediction System for Learners At-Risk within a First-Year Higher Education Course
Baneres, David; Rodriguez-Gonzalez, M. Elena; Serra, Montse – IEEE Transactions on Learning Technologies, 2019
Identifying at-risk students as soon as possible is a challenge in educational institutions. Decreasing the time lag between identification and real at-risk state may significantly reduce the risk of failure or disengage. In small courses, their identification is relatively easy, but it is impractical on larger ones. Current Learning Management…
Descriptors: Prediction, Feedback (Response), At Risk Students, College Freshmen
Geyer, Cornelia; Geisler, Stefan – International Association for Development of the Information Society, 2012
Knowledge of fundamentals of human-computer interaction resp. usability engineering is getting more and more important in technical domains. However this interdisciplinary field of work and corresponding degree programs are not broadly known. Therefore at the Hochschule Ruhr West, University of Applied Sciences, a program was developed to give…
Descriptors: Foreign Countries, Computer Science, Adolescents, Man Machine Systems
Chen, Gwo-Dong; Lee, Jih-Hsien; Wang, Chin-Yeh; Chao, Po-Yao; Li, Liang-Yi; Lee, Tzung-Yi – Educational Technology & Society, 2012
Animated pedagogical agents with characteristics such as facial expressions, gestures, and human emotions, under an interactive user interface are attractive to students and have high potential to promote students' learning. This study proposes a convenient method to add an embodied empathic avatar into a computer-aided learning program; learners…
Descriptors: Computer Assisted Instruction, Empathy, Nonverbal Communication, Reading
Hey, Jessie – 1996
With the explosion in information resources being developed by computer scientists, subject specialists, librarians, and commercial companies, the challenge for the information professional is to keep abreast of the most significant developments and to distill the information for a wide range of users. This paper looks at some of the developments…
Descriptors: Artificial Intelligence, Cataloging, Computer Interfaces, Computer Science
Witten, Ian H.; Nevill-Manning, Craig G.; Cunningham, Sally Jo – 1996
This paper discusses the indexing, collection, and maintenance processes, as well as the retrieval interface, to public digital libraries. The paper begins by briefly surveying both Internet technical report collections and World Wide Web search engines. It goes on to describe a prototype digital library, the New Zealand Digital Library for…
Descriptors: Access to Information, Cataloging, Computer Interfaces, Computer Science
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers