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An Early Feedback Prediction System for Learners At-Risk within a First-Year Higher Education Course
Peer reviewed
Direct linkBaneres, 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
Howard, A. M.; Park, Chung Hyuk; Remy, S. – IEEE Transactions on Learning Technologies, 2012
The robotics field represents the integration of multiple facets of computer science and engineering. Robotics-based activities have been shown to encourage K-12 students to consider careers in computing and have even been adopted as part of core computer-science curriculum at a number of universities. Unfortunately, for students with visual…
Descriptors: Robotics, Computer Interfaces, Federal Aid, Pilot Projects
Patel, K. K.; Vij, S. – IEEE Transactions on Learning Technologies, 2012
The inability to navigate independently and interact with the wider world is one of the most significant handicaps that can be caused by blindness, second only to the inability to communicate through reading and writing. Many difficulties are encountered when visually impaired people (VIP) need to visit new and unknown places. Current speech or…
Descriptors: Foreign Countries, Computer Simulation, Computer Assisted Instruction, Simulated Environment
