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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
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Romero-Zaldivar, Vicente-Arturo; Pardo, Abelardo; Burgos, Daniel; Delgado Kloos, Carlos – Computers & Education, 2012
The interactions that students have with each other, with the instructors, and with educational resources are valuable indicators of the effectiveness of a learning experience. The increasing use of information and communication technology allows these interactions to be recorded so that analytic or mining techniques are used to gain a deeper…
Descriptors: Academic Achievement, Prediction, Learning Experience, Data
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Kazi, Hameedullah; Haddawy, Peter; Suebnukarn, Siriwan – International Journal of Artificial Intelligence in Education, 2009
In well-defined domains such as Physics, Mathematics, and Chemistry, solutions to a posed problem can objectively be classified as correct or incorrect. In ill-defined domains such as medicine, the classification of solutions to a patient problem as correct or incorrect is much more complex. Typical tutoring systems accept only a small set of…
Descriptors: Foreign Countries, Problem Based Learning, Problem Solving, Correlation
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Thoms, Brian – IEEE Transactions on Learning Technologies, 2011
In this research, we examine the design, construction, and implementation of a dynamic, easy to use, feedback mechanism for social software. The tool was integrated into an existing university's online learning community (OLC). In line with constructivist learning models and practical information systems (IS) design, the feedback system provides…
Descriptors: Social Networks, Web Sites, Electronic Publishing, Electronic Learning
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Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
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Yang, Yu-Fen; Wong, Wing-Kwong; Yeh, Hui-Chin – Educational Technology & Society, 2008
The major purpose of this study is to assist college students in constructing mental representation of referential resolution in a computer system. Ninety students were asked to draw mental maps indicating the relationships between references, take reading comprehension tests, and fill out open-ended questionnaire. Results showed that the…
Descriptors: Correlation, Reading Processes, Feedback (Response), Reading Comprehension
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries