Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
College Students | 3 |
Prediction | 3 |
Programming Languages | 3 |
Models | 2 |
Teaching Methods | 2 |
Academic Achievement | 1 |
Accuracy | 1 |
Achievement Gains | 1 |
Algorithms | 1 |
Bias | 1 |
Classification | 1 |
More ▼ |
Author
Chunyang Fan | 1 |
François Bouchet | 1 |
Melina Verger | 1 |
Reilly, Joseph M. | 1 |
Salas-Rueda, Ricardo-Adán | 1 |
Schneider, Bertrand | 1 |
Sébastien Lallé | 1 |
Vanda Luengo | 1 |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Audience
Location
Mexico | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
Salas-Rueda, Ricardo-Adán – International Electronic Journal of Mathematics Education, 2020
This quantitative research aims to analyze the design and implementation of the Web Application on the educational process of the Linear Function (WALF) considering the TPACK (Technological Pedagogical and Content Knowledge) model and data science. The sample consists of 45 students who studied the Basic Math course at a Mexican university during…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Instruction, Mexicans
Reilly, Joseph M.; Schneider, Bertrand – International Educational Data Mining Society, 2019
Collaborative problem solving in computer-supported environments is of critical importance to the modern workforce. Coworkers or collaborators must be able to co-create and navigate a shared problem space using discourse and non-verbal cues. Analyzing this discourse can give insights into how consensus is reached and can estimate the depth of…
Descriptors: Problem Solving, Discourse Analysis, Cooperative Learning, Computer Assisted Instruction