<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Knowledge-based recommender systems have always had their privileged place among all Decision Support Systems (DSS), given their advantage on several points over other techniques. Our paper presents a framework implementing a hybrid form of Rule-Based Reasoning and Case-Based Reasoning (RBR-CBR), to address the rarely discussed domain of educational planning. The system has been tested and presented outstanding results with a high accuracy, which will benefit educational planners’ decision support. We have also developed a dedicated application for this project to visualize the results obtained.</p>
</abstract>

Knowledge-based recommender systems have always had their privileged place among all Decision Support Systems (DSS), given their advantage on several points over other techniques. Our paper presents a framework implementing a hybrid form of Rule-Based Reasoning and Case-Based Reasoning (RBR-CBR), to address the rarely discussed domain of educational planning. The system has been tested and presented outstanding results with a high accuracy, which will benefit educational planners’ decision support. We have also developed a dedicated application for this project to visualize the results obtained.

A Recommender System for Educational Planning

Laboratory Mathematics, Computer and Engineering Sciences (MISI)

Hassan First University of Settat, Faculty of Sciences and Technics

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"A Recommender System for Educational Planning"}

Knowledge-based recommender systems have always had their privileged place among all Decision Support Systems (DSS), given their advantage on several points...

A Recommender System for Educational Planning

Online veröffentlicht: 27. Juni 2024

Seitenbereich: 67 - 85

Eingereicht: 17. Jan. 2024

Akzeptiert: 28. Mai 2024

DOI: https://doi.org/10.2478/cait-2024-0016

Schlüsselwörter
Recommender system, Knowledge-based system, Rule-based reasoning, Case-based reasoning, Hybrid system, Educational planning

© 2024 Mustapha Skittou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Recommender System for Educational Planning

Online veröffentlicht: 27. Juni 2024

Seitenbereich: 67 - 85

Eingereicht: 17. Jan. 2024

Akzeptiert: 28. Mai 2024

DOI: https://doi.org/10.2478/cait-2024-0016

SchlüsselwörterRecommender system, Knowledge-based system, Rule-based reasoning, Case-based reasoning, Hybrid system, Educational planning

© 2024 Mustapha Skittou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Recommender system, Knowledge-based system, Rule-based reasoning, Case-based reasoning, Hybrid system, Educational planning