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Kerstin Huber; Maria Bannert – Journal of Computing in Higher Education, 2024
The empirical study investigates what log files and process mining can contribute to promoting successful learning. We want to show how monitoring and evaluation of learning processes can be implemented in the educational life by analyzing log files and navigation behavior. Thus, we questioned to what extent log file analyses and process mining…
Descriptors: Learning Processes, Data Analysis, Navigation (Information Systems), Student Behavior
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Vanessa Joy A. Anacta – Research in Learning Technology, 2024
The use of navigation applications changed the way people find their way in an unfamiliar environment. A combination of maps, images and textual route instructions shown (or with audio) on one screen guides the user to the destination but may sometimes be overwhelming. This article investigated the spatial knowledge participants acquired after…
Descriptors: Spatial Ability, Maps, Visual Aids, Computer Assisted Instruction
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Çebi, Ayça; Güyer, Tolga – Interactive Learning Environments, 2022
The studies in the literature show that all learners may not benefit from hypermedia learning systems in the same way as a result of their individual differences. Learners with different individual characteristic may display different navigational pattern and they may encounter different problems in the hypermedia learning system. The aim of the…
Descriptors: Modeling (Psychology), Navigation (Information Systems), Electronic Learning, Hypermedia
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Kishabale, Bashir – International Journal of Education and Development using Information and Communication Technology, 2021
The current study, guided by the cross-sectional survey method, assessed interface design quality, and its predictive ability on E-learners' post-adoption behavior in E-learning course environments. DeLone and McLean's Information Systems Success Model, Khan's E-learning Framework, and Bhattacherjee's Information System Continuance Model formed…
Descriptors: Electronic Learning, Computer Interfaces, Design, Predictive Validity
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Jeske, Debora; Roßnagell, Christian Stamov; Backhaus, Joy – Journal of Interactive Learning Research, 2014
We examined the role of learner characteristics as predictors of four aspects of e-learning performance, including knowledge test performance, learning confidence, learning efficiency, and navigational effectiveness. We used both self reports and log file records to compute the relevant statistics. Regression analyses showed that both need for…
Descriptors: Student Characteristics, Electronic Learning, Performance, Self Esteem