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Mark P. Schmidt – ProQuest LLC, 2022
The efficacy of intelligent tutoring systems (ITS) for undergraduate college level courses was not well established and specifically, the Pearson Dynamic Study Modules (PDSM) program had not been investigated locally. The purpose of this quantitative study was to determine whether the use of an ITS designed with a cognitive learning approach; the…
Descriptors: Intelligent Tutoring Systems, Performance, Electronic Learning, Nursing Education
Korkmaz, Ceren; Correia, Ana-Paula – Educational Media International, 2019
The purpose of this review is to investigate the trends in the body of research on machine learning in educational technologies, published between 2007 and 2017. The criteria for article selection were as follows: (1) study on machine learning in educational/learning technologies, (2) published between 2007-2017, (3) published in a peer-reviewed…
Descriptors: Electronic Learning, Educational Technology, Educational Trends, Automation
Sun, Jerry Chih-Yuan; Yu, Shih-Jou; Chao, Chih-Hsuan – Educational Psychology, 2019
The current study developed an intelligent learning environment for online education of research ethics and investigated how encouragement and warning intelligent feedback influenced learners' engagement (behavioural, emotional, and cognitive) and cognitive load (mental load and mental effort). Participants included 191 graduate students in Taiwan…
Descriptors: Feedback (Response), Learner Engagement, Cognitive Processes, Difficulty Level
Turkmen, Gamze; Caner, Sonay – Turkish Online Journal of Distance Education, 2020
This study aims to provide a comprehensive and in-depth investigation of the debugging process in programming teaching in terms of cognitive and metacognitive aspects, based on programming students who demonstrate low, medium, and high programming performance and to propose instructional strategies for scaffolding novice learners in an effective…
Descriptors: Programming, Novices, Electronic Learning, Troubleshooting
Mohamed, Hafidi; Lamia, Mahnane – International Journal of Web-Based Learning and Teaching Technologies, 2015
Learners usually meet cognitive overload and disorientation problems when using e-learning system. At present, most of the studies in e-learning either concentrate on the technological aspect or focus on adapting learner's interests or browsing behaviors, while, learner's skill level and learners' success rate is usually neglected. In this paper,…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Online Courses, Difficulty Level
Kamsa, Imane; Elouahbi, Rachid; El Khoukhi, Fatima – Journal of Information Technology Education: Research, 2017
Aim/Purpose: To identify and rectify the learning difficulties of online learners. Background: The major cause of learners' failure and non-acquisition of knowledge relates to their weaknesses in certain areas necessary for optimal learning. We focus on e-learning because, within this environment, the learner is mostly affected by these…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Learning Disabilities
Hafidi, Mohamed; Bensebaa, Tahar – International Journal of Information and Communication Technology Education, 2014
Several adaptive and intelligent tutoring systems (AITS) have been developed with different variables. These variables were the cognitive traits, cognitive styles, and learning behavior. However, these systems neglect the importance of the learner's multiple intelligences, the learner's skill level and the learner's feedback when implementing…
Descriptors: Intelligent Tutoring Systems, Models, Foreign Countries, Pretests Posttests
Stott, Angela; Hattingh, Annemarie – Educational Technology & Society, 2015
The paper presents a case study of the use of conceptual tutoring software to promote deep learning of the scientific concept of density among 50 final year pre-service student teachers in a natural sciences course in a South African university. Individually-paced electronic tutoring is potentially an effective way of meeting the students' varied…
Descriptors: Intelligent Tutoring Systems, Computer Software, Case Studies, Scientific Concepts
Caravantes, Arturo; Galan, Ramon – Educational Technology & Society, 2011
The interoperability of educational systems, encouraged by the development of specifications, standards and tools related to the Semantic Web is limited to the exchange of information in domain and student models. High system interoperability requires that a common framework be defined that represents the functional essence of educational systems.…
Descriptors: Foreign Countries, Knowledge Representation, Feasibility Studies, Cognitive Processes
Hsu, Pi-Shan; Chang, Te-Jeng – International Journal of Distance Education Technologies, 2011
The objective of this research is to validate the algorithm of learning effort which is an indicator of a new real-time and non-interfering based diagnostic technique. IC3 Mentor, the adaptive e-learning platform fulfilling the requirements of intelligent tutor system, was applied to 165 university students. The learning records of the subjects…
Descriptors: Foreign Countries, Distance Education, Mathematics, Educational Diagnosis
Chen, Chih-Ming – British Journal of Educational Technology, 2009
Developing personalised web-based learning systems has been an important research issue in e-learning because no fixed learning pathway will be appropriate for all learners. However, most current web-based learning platforms with personalised curriculum sequencing tend to emphasise the learner preferences and interests in relation to personalised…
Descriptors: Electronic Learning, Concept Mapping, Difficulty Level, Cognitive Processes
Hsu, Pi-Shan; Chang, Te-Jeng; Wu, Ming-Hsiung – International Journal of Distance Education Technologies, 2009
The level of learners' expertise has been used as a metric and diagnostic mechanism of instruction. This metric influences mental effort directly according to the applications of cognitive load theory. Cognitive efficiency, an optimal measurement technique of expertise, was developed by Kalyuga and Sweller to replace instructional efficiency in…
Descriptors: Electronic Learning, Measurement Techniques, Expertise, Cognitive Processes
Blessing, Stephen B.; Gilbert, Stephen B.; Ourada, Stephen; Ritter, Steven – International Journal of Artificial Intelligence in Education, 2009
Intelligent Tutoring Systems (ITSs) that employ a model-tracing methodology have consistently shown their effectiveness. However, what evidently makes these tutors effective, the cognitive model embedded within them, has traditionally been difficult to create, requiring great expertise and time, both of which come at a cost. Furthermore, an…
Descriptors: Intelligent Tutoring Systems, Cognitive Processes, Models, Expertise
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2013
These proceedings contain the papers of the IADIS International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2013), October 22-24, 2013, which has been organized by the International Association for Development of the Information Society (IADIS), co-organized by The University of North Texas (UNT), sponsored by the…
Descriptors: Conference Papers, Cognitive Processes, Learning Processes, Short Term Memory
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
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