Elmira Abdykerimova
Biographic Data
| ID | 10102135 |
|---|---|
| NAME | Elmira Abdykerimova |
| GIVEN NAMES | Elmira |
| FAMILY NAME | Abdykerimova |
| SIGNATURE | ABDYKERIMOVA E |
| AFFILIATIONS | Caspian University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The application of machine learning in predicting student performance in university engineering programs
Background In recent years, the application of machine learning (ML) to predict student performance in engineering education has expanded significantly, yet questions remain about the consistency, reliability, and generalisability of these predictive models. Objective This rapid review aimed to systematically examine peer-reviewed studies published between January 1, 2019, and December 31, 2024, that applied machine learning (ML), artificial inte…
Preparing educators for the digital age
Introduction This study investigates higher education teachers’ perceptions of active teaching methods—Case-Based Learning (CBL), Problem-Based Learning (PBL), and Team-Based Learning (TBL)—and their integration with digital technologies. These pedagogical strategies are crucial for fostering critical thinking, collaboration, and problem-solving skills among students, especially in the digital age. Despite their benefits, challenges such as resou…
Improving the training on creating a distance learning platform in higher education
The COVID-19 pandemic has had a profound impact on the world, and one of the many changes it has brought about is the shift to distance learning in Kazakhstan’s universities. However, both teachers and students were ill-prepared for this sudden change. In some remote villages, lack of internet access meant that students had no access to online classes at all. To address this issue, universities had to rent foreign platforms, but these platforms h…
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Preparing educators for the digital age
Introduction This study investigates higher education teachers’ perceptions of active teaching methods—Case-Based Learning (CBL), Problem-Based Learning (PBL), and Team-Based Learning (TBL)—and their integration with digital technologies. These pedagogical strategies are crucial for fostering critical thinking, collaboration, and problem-solving skills among students, especially in the digital age. Despite their benefits, challenges such as resou…
Improving the training on creating a distance learning platform in higher education
The COVID-19 pandemic has had a profound impact on the world, and one of the many changes it has brought about is the shift to distance learning in Kazakhstan’s universities. However, both teachers and students were ill-prepared for this sudden change. In some remote villages, lack of internet access meant that students had no access to online classes at all. To address this issue, universities had to rent foreign platforms, but these platforms h…
The application of machine learning in predicting student performance in university engineering programs
Background In recent years, the application of machine learning (ML) to predict student performance in engineering education has expanded significantly, yet questions remain about the consistency, reliability, and generalisability of these predictive models. Objective This rapid review aimed to systematically examine peer-reviewed studies published between January 1, 2019, and December 31, 2024, that applied machine learning (ML), artificial inte…
Computer Science (2 works) · Engineering (2 works) · Mathematics education (2 works) · Multimedia (2 works) · Online and Blended Learning (2 works) · Online Learning and Analytics (2 works) · Psychology (2 works) · AI and HR Technologies (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare (1 work)