Hakan Güldal
Biographic Data
| ID | 8210219 |
|---|---|
| NAME | Hakan Güldal |
| GIVEN NAMES | Hakan |
| FAMILY NAME | Güldal |
| SIGNATURE | GÜLDAL H |
| AFFILIATIONS | Trakya University |
| ORCID | 0000-0002-1566-9378 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Noncognitive predictors of mathematics achievement
Mathematics performance is essential for educational and economic outcomes, and research emphasizes the role of noncognitive factors such as self-efficacy, motivation, and socioeconomic background. The aim of the study was to identify which noncognitive variables were the most effective predictors of students’ mathematics achievement. PISA 2022 background questionnaire data were analyzed using machine learning (ML) algorithms on a cloud-based hig…
Which noncognitive features provide more information about reading performance? A data-mining approach to big educational data
The purpose of this study is to discover which noncognitive variables provide more information about reading performance. To answer this question, data mining based on information gain, decision tree and random forest methods were utilized in the study. The participants of the study consisted of 606,627 15-year-old students (49.8% female) in a total of 78 countries or economies, 37 of which are OECD members. Reading performance and plausible valu…
No prominent works on this page.
Which noncognitive features provide more information about reading performance? A data-mining approach to big educational data
The purpose of this study is to discover which noncognitive variables provide more information about reading performance. To answer this question, data mining based on information gain, decision tree and random forest methods were utilized in the study. The participants of the study consisted of 606,627 15-year-old students (49.8% female) in a total of 78 countries or economies, 37 of which are OECD members. Reading performance and plausible valu…
Noncognitive predictors of mathematics achievement
Mathematics performance is essential for educational and economic outcomes, and research emphasizes the role of noncognitive factors such as self-efficacy, motivation, and socioeconomic background. The aim of the study was to identify which noncognitive variables were the most effective predictors of students’ mathematics achievement. PISA 2022 background questionnaire data were analyzed using machine learning (ML) algorithms on a cloud-based hig…
Online Learning and Analytics (2 works) · Academic achievement (1 work) · Computer Science (1 work) · Computer-Assisted Instruction (1 work) · Credibility (1 work) · Educational assessment (1 work) · Educational Data Mining (1 work) · Educational technology (1 work) · Electronic learning (1 work) · Grit, Self-Efficacy, and Motivation (1 work)