Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
Source
| International Educational… | 1 |
Publication Type
| Reports - Research | 2 |
| Speeches/Meeting Papers | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textSahebi, Shaghayegh; Lin, Yu-Ru; Brusilovsky, Peter – International Educational Data Mining Society, 2016
We propose a novel tensor factorization approach, Feedback-Driven Tensor Factorization (FDTF), for modeling student learning process and predicting student performance. This approach decomposes a tensor that is built upon students' attempt sequence, while considering the quizzes students select to work with as its feedback. FDTF does not require…
Descriptors: Data Analysis, Prediction, Models, Learning
Wilensky, Uri – 2001
The use of programming language was studied in an eighth grade science classroom. The goal of the EMERGE curriculum is to enable students to understand the global patterns that they observe. EMERGE was used in an eighth-grade classroom of 12 students, with a range of abilities (3 had learning disabilities), in 21 sessions over 3 months. For the…
Descriptors: Junior High School Students, Junior High Schools, Learning, Programming Languages
