Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Artificial Intelligence | 3 |
Data Analysis | 3 |
Questionnaires | 3 |
Foreign Countries | 2 |
Teaching Methods | 2 |
Brainstorming | 1 |
Classification | 1 |
Cognitive Development | 1 |
Computer Mediated… | 1 |
Computer Simulation | 1 |
Data Collection | 1 |
More ▼ |
Author
Bendjebar, Safia | 1 |
Biswas, Gautam | 1 |
González-Pérez, Paula | 1 |
Kinnebrew, John S. | 1 |
Lafifi, Yacine | 1 |
Loretz, Kirk M. | 1 |
Marrero-Galván, Juan José | 1 |
Seridi, Hamid | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Elementary Education | 1 |
Grade 8 | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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