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Vol.14, No.3, August 2025. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Predicting Academic Performance Based on Students’ HOTS, Cognitive Structure, Prior Knowledge, and Trait Thinking Using ANFIS Model
Yeka Hendriyani, Muhammad Anwar, Hendra Hidayat, Elsa Sabrina
© 2025 Muhammad Anwar, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 14, Issue 3, Pages 2402-2410, ISSN 2217-8309, DOI: 10.18421/TEM143-45, August 2025.
Received: 09 November 2024. Revised: 17 May 2025.
Abstract:
Higher-order thinking skills (HOTS), cognitive structure, prior knowledge, and trait thinking, are vital in contributing to students' academic and professional achievements and, as such, require significant focus from educational establishments. HOTS needs to be encouraged so that it is owned by students to face future challenges while strengthening students’ cognitive structure, prior knowledge, and trait thinking. This research aims to find the student’s academic performance (SAP) prediction model using adaptive neuro-fuzzy inference systems and the main factors that most determine SAP. The study involved a sample of 45 students collected from electronics engineering education students at the engineering faculty of Universitas Negeri Padang. Developing an accurate SAP prediction model is a challenging task. The model of adaptive neuro-fuzzy inference system (ANFIS) was employed to determine which familiar factors can provide an early signal of the SAP’s anticipated value. The test findings indicate substantial correlations between all factors concerning the SAP score. However, it doesn't necessarily mean that the value of each factor is high, driving up the SAP score. In the context of all factors affecting SAP, the primary determinants of enhanced academic success are cognitive structure and prior knowledge. The HOTS factor, partially, increases academic performance scores linearly by omitting the other factors influence.
Keywords – Higher-order thinking skills (HOTS), student’s academic performance (SAP), adaptive neuro-fuzzy inference system (ANFIS). |
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