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González-Pérez, Paula; Marrero-Galván, Juan José – Journal of Technology and Science Education, 2023
Teachers often use analogies to introduce unfamiliar or complex concepts. However, several studies have found that their knowledge on how to use them is limited or superficial. Similarly, the integration of technological resources in the teaching-learning processes is not always carried out efficiently, which evidences the need to improve…
Descriptors: Foreign Countries, Masters Degrees, Science Teachers, Science Education
Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid – International Journal of Web-Based Learning and Teaching Technologies, 2016
In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…
Descriptors: Electronic Learning, Teaching Methods, Classification, Student Needs
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam – Journal of Educational Data Mining, 2013
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…
Descriptors: Data Analysis, Middle School Students, Information Retrieval, Student Behavior
Hu, Chengren – 1988
This paper describes a study that was undertaken at the University of Illinois at Urbana-Champaign to compare the databases selected by 75 inexperienced student online searchers aided by an existing gateway system--INFOMASTER, a version of EASYNET--with databases selected manually by four experienced searchers who were reference librarians from…
Descriptors: Academic Libraries, Artificial Intelligence, College Students, Comparative Analysis