Просмотр по теме "machine learning algorithms"

Отображаемые элементы 1-5 из 5

    • Development of a Knowledge Graph-Based Model for Recommending MOOCs to Supplement University Educational Programs in Line With Employer Requirements 

      RAMAZANOVA, VALIYA; SAMBETBAYEVA, MADINA; SERIKBAYEVA, SANDUGASH; SADIRMEKOVA, ZHANNA; YERIMBETOVA, AIGERIM (IEEE Access, 2024)
      The modern labor market demands that educational institutions prepare specialists capable of effectively responding to rapidly changing professional standards and technologies. In this regard, the use of innovative approaches to adapt educational programs has become a key factor. This study is dedicated to developing a methodology for using heterogeneous knowledge graphs to ...
      2026-03-13

    • Development of a Knowledge Graph-Based Model for Recommending MOOCs to Supplement University Educational Programs in Line With Employer Requirements 

      RAMAZANOVA, VALIYA; SAMBETBAYEVA, MADINA; SERIKBAYEVA, SANDUGASH; SADIRMEKOVA, ZHANNA; YERIMBETOVA, AIGERIM (IEEE Access, 2024)
      The modern labor market demands that educational institutions prepare specialists capable of effectively responding to rapidly changing professional standards and technologies. In this regard, the use of innovative approaches to adapt educational programs has become a key factor. This study is dedicated to developing a methodology for using heterogeneous knowledge graphs to ...
      2026-03-11

    • Development of a Knowledge Graph-Based Model for Recommending MOOCs to Supplement University Educational Programs in Line With Employer Requirements 

      RAMAZANOVA, VALIYA; SAMBETBAYEVA, MADINA; SERIKBAYEVA, SANDUGASH; SADIRMEKOVA, ZHANNA; YERIMBETOVA, AIGERIM (IEEE Access, 2024)
      The modern labor market demands that educational institutions prepare specialists capable of effectively responding to rapidly changing professional standards and technologies. In this regard, the use of innovative approaches to adapt educational programs has become a key factor. This study is dedicated to developing a methodology for using heterogeneous knowledge graphs to ...
      2026-03-18

    • Leveraging Data Lake Architecture for Predicting Academic Student Performance 

      Abdul Rahim, Shameen Aina; Sidi, Fatimah; Affendey, Lilly Suriani; Ishak, Iskandar; Yessirkep Nurlankyzy, Appak (International Journal on Advanced Science, Engineering and Information Technology (IJASEIT), 2024)
      In today's rapidly evolving landscape of higher education, the effective management and analysis of academic data have become increasingly challenging, particularly in the context of the 3Vs of Big Data: volume, variety, and velocity. The amount of data produced by educational institutions has increased dramatically, including student records. This flood of data originates ...
      2026-01-19

    • Leveraging Data Lake Architecture for Predicting Academic Student Performance 

      Abdul Rahim, Shameen Aina; Sidi, Fatimah; Affendey, Lilly Suriani; Ishak, Iskandar; Appak, Yessirkep Nurlankyzy (International Journal on Advanced Science, Engineering and Information Technology (IJASEIT), 2024)
      In today's rapidly evolving landscape of higher education, the effective management and analysis of academic data have become increasingly challenging, particularly in the context of the 3Vs of Big Data: volume, variety, and velocity. The amount of data produced by educational institutions has increased dramatically, including student records. This flood of data originates ...
      2026-03-19