Predicting the learner's personality from educational data using supervised learning
Abstract
Differences in the learners' personality have an impact on their learning outcomes and achievements. Therefore, there is a need to automatically predict and identify their personalities in an unobtrusive way, and build the learner model accordingly. In this paper, we try to identify the learner's personality dimensions, according to the big five personality model, using educational data features in order to develop an automatic classifier that predicts the learner's personality discreetly based on his/her traces in an online learning system. We applied seven different supervised learning classification algorithms, using personality scores for each dimension (high or low) as target values, and analyzed the results. The findings were encouraging and revealed that most of Big Five personality dimensions can in fact be predicted using mainly educational data features, which could have an added value on unobtrusive dynamic learner modelling.
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In [23], supervised learning algorithms (SVMs, kNN, Naïve Bayes, random forest, logistic regression) were used to predict learner personality dimensions from educational data features in an online learning system.
“The system focuses on developing a classifier based on supervised learning algorithms to predict the learner's personality dimensions discreetly using educational data features in an online learning system.”
From Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review (2023) · cites this paper as [23]
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- Authors
- Abyaa, A., Idrissi, M. K., & Bennani, S.
- Affiliations
- Mohammed V University (MA)
- Venue
- Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications
- Publisher
- ACM
- Published
- 2018-10-24
- Pages
- 1-7
- OpenAlex
- W2917705329
- Cited by
- 16
- References
- 10
- Citations by year
- 2025: 2 · 2024: 7 · 2023: 3 · 2022: 2 · 2021: 1 · 2020: 1
- FWCI
- 0.57
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Intelligent Systems: Theories and Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Keywords
- Big Five personality model, educational data mining, student modeling, online learning platforms, supervised classification, personality factors
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