Scholarlink

<p>In order to progress in a data-driven society, higher education institutions should strive to integrate learning analytics into their strategic and operational activities. The purpose of this paper is to propose the Higher Education Learning Analytics Capability Maturity Model (HELA-CMM), a capability maturity model for adoption of learning analytics in higher education institutions. The development of the HELA-CMM was based on design science research paradigm and a procedural model for maturity models design. After conducting an extended literature review, a combination of nominal group techniques and focus group were used. The subject-matter experts participating in a nominal focus group elaborated on the structure and evaluated relative importance of its categories and capabilities utilizing the pairwise comparison technique. The proposed maturity model comprises 28 capabilities grouped into eight categories: (1) Teaching / Learning / Assessment, (2) Data Management and Analytics, (3) Ethics, Privacy, Legal Issues, (4) People Competences, (5) Management / Leadership, (6) Culture, (7) Infrastructure, and (8) Quality Assurance. The maturity model will be further developed through an iterative process and evaluated at several higher education institutions in Europe. With the HELA-CMM, higher education institutions will have a tool that on the one hand enables benchmarking and assessment, and on the other hand provides guidance for improving the maturity of learning analytics adoption.</p>

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

HELA-CMM: capability maturity model for adoption of learning analytics in higher education

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月16日

查看全文
  • Diana Šimić,
  • Nina Begičević Ređep,
  • Sabina Rako,
  • Nikola Kadoić,
  • Wim Van Petegem,
  • Bart Rienties,
  • Nati Cabrera Lanzo,
  • Michael Eichhorn,
  • Lourdes Guàrdia,
  • Sandra Kučina Softić,
  • Alexander Tillmann

摘要

In order to progress in a data-driven society, higher education institutions should strive to integrate learning analytics into their strategic and operational activities. The purpose of this paper is to propose the Higher Education Learning Analytics Capability Maturity Model (HELA-CMM), a capability maturity model for adoption of learning analytics in higher education institutions. The development of the HELA-CMM was based on design science research paradigm and a procedural model for maturity models design. After conducting an extended literature review, a combination of nominal group techniques and focus group were used. The subject-matter experts participating in a nominal focus group elaborated on the structure and evaluated relative importance of its categories and capabilities utilizing the pairwise comparison technique. The proposed maturity model comprises 28 capabilities grouped into eight categories: (1) Teaching / Learning / Assessment, (2) Data Management and Analytics, (3) Ethics, Privacy, Legal Issues, (4) People Competences, (5) Management / Leadership, (6) Culture, (7) Infrastructure, and (8) Quality Assurance. The maturity model will be further developed through an iterative process and evaluated at several higher education institutions in Europe. With the HELA-CMM, higher education institutions will have a tool that on the one hand enables benchmarking and assessment, and on the other hand provides guidance for improving the maturity of learning analytics adoption.