Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 4 |
Descriptor
Data Analysis | 3 |
Prediction | 3 |
Academic Achievement | 2 |
Gender Differences | 2 |
High School Students | 2 |
Middle School Students | 2 |
Models | 2 |
Academic Ability | 1 |
Accuracy | 1 |
Algorithms | 1 |
Anxiety | 1 |
More ▼ |
Source
Interactive Learning… | 4 |
Author
Aammou, Souhaib | 1 |
Asselman, Amal | 1 |
Butcher, Kirsten R. | 1 |
Chen, Chih-Ming | 1 |
Chen, Yong-Ting | 1 |
Hudson, Michelle A. | 1 |
Khaldi, Mohamed | 1 |
Larson, Madlyn | 1 |
Meishar-Tal, Hagit | 1 |
Orr, Matthew | 1 |
Poitras, Eric | 1 |
More ▼ |
Publication Type
Journal Articles | 4 |
Reports - Research | 4 |
Education Level
Junior High Schools | 4 |
Middle Schools | 4 |
Secondary Education | 4 |
High Schools | 2 |
Grade 9 | 1 |
Audience
Location
Taiwan (Taipei) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Asselman, Amal; Khaldi, Mohamed; Aammou, Souhaib – Interactive Learning Environments, 2023
Performance Factors Analysis (PFA) is considered one of the most important Knowledge Tracing (KT) approaches used for constructing adaptive educational hypermedia systems. It has shown a high prediction accuracy against many other KT approaches. While, the desire to estimate more accurately the student level leads researchers to enhance PFA by…
Descriptors: Algorithms, Artificial Intelligence, Factor Analysis, Student Behavior
Poitras, Eric; Butcher, Kirsten R.; Orr, Matthew; Hudson, Michelle A.; Larson, Madlyn – Interactive Learning Environments, 2022
This study mined student interactions with visual representations as a means to automate assessment of learning in a complex, inquiry-based learning environment. Log trace data of 143 middle school students' interactions with an interactive map in Research Quest (an inquiry-based, online learning environment) were analyzed. Students used the…
Descriptors: Middle School Students, Electronic Learning, Maps, Science Instruction
Meishar-Tal, Hagit; Shonfeld, Miri – Interactive Learning Environments, 2019
This study took place in a school which adopted a "paperless classroom" policy. The purpose of the study was to examine whether students who learn in a paperless classroom really prefer reading and writing on computers rather than on paper and whether their preferences differ according to contextual conditions and personal differences.…
Descriptors: Preferences, Classroom Environment, Computer Uses in Education, Printed Materials
Chen, Chih-Ming; Wang, Jung-Ying; Chen, Yong-Ting; Wu, Jhih-Hao – Interactive Learning Environments, 2016
To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In…
Descriptors: Reading Strategies, Prediction, Models, Quasiexperimental Design