Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 6 |
Descriptor
| Artificial Intelligence | 6 |
| Educational Technology | 4 |
| Models | 3 |
| Prediction | 3 |
| Computer Software | 2 |
| Creativity | 2 |
| Identification | 2 |
| Programming | 2 |
| Academic Achievement | 1 |
| Algorithms | 1 |
| At Risk Students | 1 |
| More ▼ | |
Author
| Gal, Kobi | 6 |
| Segal, Avi | 5 |
| Kovalkov, Anastasia | 2 |
| Pinkwart, Niels | 2 |
| Cohen, Anat | 1 |
| Facciotti, Marc T. | 1 |
| Gallagher, Michael | 1 |
| Geller, Shay A. | 1 |
| Hershkovitz, Arnon | 1 |
| Hoernle, Nicholas | 1 |
| Igo, Michele | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 5 |
| Journal Articles | 3 |
| Speeches/Meeting Papers | 3 |
| Reports - Descriptive | 1 |
Education Level
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 4 | 1 |
| Grade 6 | 1 |
| Higher Education | 1 |
| Intermediate Grades | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Torrance Tests of Creative… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textRohani, Narjes; Gal, Kobi; Gallagher, Michael; Manataki, Areti – International Educational Data Mining Society, 2023
Massive Open Online Courses (MOOCs) make high-quality learning accessible to students from all over the world. On the other hand, they are known to exhibit low student performance and high dropout rates. Early prediction of student performance in MOOCs can help teachers intervene in time in order to improve learners' future performance. This is…
Descriptors: Prediction, Academic Achievement, Health Education, Data Science
Direct linkKovalkov, Anastasia; Paaßen, Benjamin; Segal, Avi; Pinkwart, Niels; Gal, Kobi – IEEE Transactions on Learning Technologies, 2021
Promoting creativity is considered an important goal of education, but creativity is notoriously hard to measure. In this article, we make the journey from defining a formal measure of creativity, that is, efficiently computable to applying the measure in a practical domain. The measure is general and relies on core theoretical concepts in…
Descriptors: Creativity, Programming, Measurement Techniques, Models
Levy, Ben; Hershkovitz, Arnon; Tabach, Michal; Cohen, Anat; Segal, Avi; Gal, Kobi – IEEE Transactions on Learning Technologies, 2023
This report describes a randomized controlled study that compared the personalization of educational content based on neural networks to personalization by human experts. The study was conducted in a graphically rich online learning environment for elementary school mathematics, in which N = 135 fourth- and sixth-grade students learn via…
Descriptors: Online Courses, Elementary School Students, Grade 4, Grade 6
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Geller, Shay A.; Gal, Kobi; Segal, Avi; Sripathi, Kamali; Kim, Hyunsoo G.; Facciotti, Marc T.; Igo, Michele; Hoernle, Nicholas; Karger, David – IEEE Transactions on Learning Technologies, 2021
This article provides computational and rule-based approaches for detecting confusion that is expressed in students' comments in couse forums. To obtain reliable, ground truth data about which posts exhibit student confusion, we designed a decision tree that facilitates the manual labeling of forum posts by experts. However, manual labeling is…
Descriptors: Identification, Misconceptions, Student Attitudes, Computer Mediated Communication
Kovalkov, Anastasia; Paassen, Benjamin; Segal, Avi; Gal, Kobi; Pinkwart, Niels – International Educational Data Mining Society, 2021
Promoting creativity is considered an important goal of education, but creativity is notoriously hard to define and measure. In this paper, we make the journey from defining a formal creativity and applying the measure in a practical domain. The measure relies on core theoretical concepts in creativity theory, namely fluency, flexibility, and…
Descriptors: Creativity, Theory Practice Relationship, Evaluators, Specialists
