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van Harsel, Milou; Hoogerheide, Vincent; Verkoeijen, Peter; van Gog, Tamara – Journal of Computer Assisted Learning, 2022
Nowadays, students often practice problem-solving skills in online learning environments with the help of examples and problems. This requires them to self-regulate their learning. It is questionable how novices self-regulate their learning from examples and problems and whether they need support. The present study investigated the open questions:…
Descriptors: Sequential Learning, Independent Study, Problem Solving, Electronic Learning
Magana, Alejandra J.; Serrano, Mayari I.; Rebello, N. Sanjay – Journal of Computer Assisted Learning, 2019
Virtual learning environments can now be enriched not only with visual and auditory information, but also with tactile and kinesthetic feedback. However, the way to successfully integrate haptic feedback on a multimodal learning environment is still unclear. This study aims to provide guidelines on how visuohaptic simulations can be implemented…
Descriptors: Sequential Learning, Student Development, Concept Formation, Electronic Learning
Dounas, Lamiae; Salinesi, Camille; Beqqali, Omar El – Journal of Information Technology Education: Research, 2019
Aim/Purpose: In this paper, we highlight the need to monitor and diagnose adaptive e-learning systems requirements at runtime to develop a better understanding of their behavior during learning activities and improve their design. Our focus is to reveal which learning requirements the adaptive system is satisfying while still evolving and to…
Descriptors: Electronic Learning, Learning Activities, Instructional Design, Accuracy
Lim, Janine M. – International Review of Research in Open and Distributed Learning, 2016
A course design question for self-paced courses includes whether or not technological measures should be used in course design to force students to follow the sequence intended by the course author. This study examined learner behavior to understand whether the sequence of student assignment submissions in a self-paced distance course is related…
Descriptors: Distance Education, Electronic Learning, Online Courses, Higher Education
Hafidi, Mohamed; Bensebaa, Taher – International Journal of Distance Education Technologies, 2015
The majority of adaptive and intelligent tutoring systems (AITS) are dedicated to a specific domain, allowing them to offer accurate models of the domain and the learner. The analysis produced from traces left by the users is didactically very precise and specific to the domain in question. It allows one to guide the learner in case of difficulty…
Descriptors: Intelligent Tutoring Systems, Foreign Countries, Interdisciplinary Approach, Universities
Wiebe, Eric N.; Branoff, Theodore J.; Shreve, Mark A. – Advances in Engineering Education, 2011
This presentation focuses on an ongoing instructional innovation research and development project centered around the development of a blended, online and face-to-face introductory engineering graphics course. The work presented here is an in-depth analysis of how students make use of the online resources to supplement the instructional support…
Descriptors: Engineering Education, Graphic Arts, Computer Graphics, Blended Learning
Hausler, Joel; Sanders, John W.; Young, Barbara – Online Submission, 2007
We examined the relationship between learning styles and student type. This research seeks to examine if online students exhibit different learning styles from onsite students; and, if so, what accommodations relating to learning style differences may be made for online students? Students (N = 80) were asked to complete an online survey in order…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Student Characteristics