Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
Source
| Interactive Learning… | 3 |
Author
| Fernández-Castro, Isabel | 1 |
| Kesler, Avital | 1 |
| Mathrani, Anuradha | 1 |
| Meishar-Tal, Hagit | 1 |
| Rodríguez, Clemente | 1 |
| Ruiz, Samara | 1 |
| Suriadi, Lim | 1 |
| Susnjak, Teo | 1 |
| Umer, Rahila | 1 |
| Urretavizcaya, Maite | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Information Analyses | 1 |
Education Level
| Elementary Education | 1 |
| Grade 4 | 1 |
| Higher Education | 1 |
| Intermediate Grades | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Israel | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meishar-Tal, Hagit; Kesler, Avital – Interactive Learning Environments, 2023
This study describes an action research study conducted by a teacher who used a digital game generator as a tool to develop thinking skills among primary school students with learning difficulties. Ten 4th-grade students participated in the programme. The students met with the teacher twice a week for six months. The meetings included creating…
Descriptors: Elementary School Students, Grade 4, Learning Problems, Computer Games
Umer, Rahila; Susnjak, Teo; Mathrani, Anuradha; Suriadi, Lim – Interactive Learning Environments, 2023
Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…
Descriptors: Prediction, Student Behavior, Models, Academic Achievement
Ruiz, Samara; Urretavizcaya, Maite; Rodríguez, Clemente; Fernández-Castro, Isabel – Interactive Learning Environments, 2020
A positive emotional state of students has proved to be essential for favouring student learning, so this paper explores the possibility of obtaining student feedback about the emotions they feel in class in order to discover emotion patterns that anticipate learning failures. From previous studies about emotions relating to learning processes, we…
Descriptors: College Students, Computer Science Education, Emotional Response, Student Reaction

Peer reviewed
Direct link
