Еlmira Abdykerimova

• Improving the training on creating a distance learning platform in higher education

  Maxot Rakhmetov, Bayan Kuanbayeva et al.

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  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

  Asset Turkmenbayev, Elmira Abdykerimova et al.

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  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…

• Improving the training on creating a distance learning platform in higher education

  Maxot Rakhmetov, Bayan Kuanbayeva et al.

  Añadir item

  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

  Asset Turkmenbayev, Elmira Abdykerimova et al.

  Añadir item

  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…

Online Learning and Analytics (2 obras) · AI and HR Technologies (1 obra) · Artificial Intelligence (1 obra) · Artificial Intelligence in Healthcare (1 obra) · Computer Science (1 obra) · Distance education (1 obra) · E-Learning and Knowledge Management (1 obra) · Employability (1 obra) · Engineering (1 obra) · Engineering education (1 obra)