The changeability of the modern world, individual needs and priorities, and societal requirements for higher education graduates are forcing universities to seek the best digital models to move beyond a one-size-fits-all approach to training and provide students with a tailored learning experience. The purpose of the research was to develop and evaluate innovative digital solutions to ensure a transparent, user-friendly, and institutionally efficient system for building personalized learning paths. The research is conducted using the data obtained in the process of testing the developed module of the KSU24 e-platform of Kherson State University (tested with 378 first-year master’s students). The study focuses on the following components of designing a student’s tailored learning experience in the university environment: 1) institutional frameworks and regulatory measures to ensure the dynamic design of tailored learning experience in universities within the changing student mindset and technological progress; 2) digital tools and algorithms, including artificial intelligence and adaptive systems, for personalised learning paths to be automated and adjusted; 3) management initiatives facilitating the integration of decentralised decision-making mechanisms and end-to-end analytics, providing an open and transparent system for selecting elements of the student curriculum; 4) empowering students and improving their engagement by providing them an autonomy in choosing learning goals, academic resources and services; 5) principles of internal peer learning, including methods of horizontal knowledge sharing, teachers’ adaptation to digital technologies and integration of mentoring practices to support the quality implementation of personalised learning paths. The main focus is on the implementation of innovative solutions through the KSU24 platform, including academic performance prediction models, visualisation tools for learning paths, and API integration with learning platforms. This contributes to the creation of a flexible and personalised student curriculum, an analytical framework for making effective decisions, and ensuring their systematic monitoring. The study offers a set of innovative institutional and digital solutions that can be scaled to the unique needs of other higher education institutions for supporting student autonomy in designing their learning paths in the extreme conditions of martial law and limited financial resources of the universities.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Institutional Digital Tools for Designing Student’s Personalized Learning Paths

  • Oleksandr Spivakovsky,
  • Serhii Omelchuk,
  • Daria Malchykova,
  • Oleksandr Lemeshchuk

摘要

The changeability of the modern world, individual needs and priorities, and societal requirements for higher education graduates are forcing universities to seek the best digital models to move beyond a one-size-fits-all approach to training and provide students with a tailored learning experience. The purpose of the research was to develop and evaluate innovative digital solutions to ensure a transparent, user-friendly, and institutionally efficient system for building personalized learning paths. The research is conducted using the data obtained in the process of testing the developed module of the KSU24 e-platform of Kherson State University (tested with 378 first-year master’s students). The study focuses on the following components of designing a student’s tailored learning experience in the university environment: 1) institutional frameworks and regulatory measures to ensure the dynamic design of tailored learning experience in universities within the changing student mindset and technological progress; 2) digital tools and algorithms, including artificial intelligence and adaptive systems, for personalised learning paths to be automated and adjusted; 3) management initiatives facilitating the integration of decentralised decision-making mechanisms and end-to-end analytics, providing an open and transparent system for selecting elements of the student curriculum; 4) empowering students and improving their engagement by providing them an autonomy in choosing learning goals, academic resources and services; 5) principles of internal peer learning, including methods of horizontal knowledge sharing, teachers’ adaptation to digital technologies and integration of mentoring practices to support the quality implementation of personalised learning paths. The main focus is on the implementation of innovative solutions through the KSU24 platform, including academic performance prediction models, visualisation tools for learning paths, and API integration with learning platforms. This contributes to the creation of a flexible and personalised student curriculum, an analytical framework for making effective decisions, and ensuring their systematic monitoring. The study offers a set of innovative institutional and digital solutions that can be scaled to the unique needs of other higher education institutions for supporting student autonomy in designing their learning paths in the extreme conditions of martial law and limited financial resources of the universities.