Analytics4Action Evaluation Framework: A Review of Evidence-Based Learning Analytics Interventions at the Open University UK

被引:57
|
作者
Rienties, Bart [1 ]
Boroowa, Avinash [1 ]
Cross, Simon [1 ]
Kubiak, Chris [1 ]
Mayles, Kevin [1 ]
Murphy, Sam [1 ]
机构
[1] Open Univ, Milton Keynes, Bucks, England
来源
JOURNAL OF INTERACTIVE MEDIA IN EDUCATION | 2016年 / 01期
关键词
learning analytics; evidence-based research; evaluation; online learning; data;
D O I
10.5334/jime.394
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is currently being tested and validated at the Open University UK. By working with 18 introductory large-scale modules for a period of two years across the five faculties and disciplines within the OU, Analytics4Action provides a bottom-up-approach for working together with key stakeholders within their respective contexts. A holistic A4AEF has been developed to unpack, understand and map the six key steps in the evidence-based intervention process. By means of an exemplar in health and social science, a practical illustration of A4AEF is provided. In the next 3-5 years, we hope that a rich, robust evidence-base will be presented to show how learning analytics can help teachers to make informed, timely and successful interventions that will help each learner to achieve the module's learning outcomes.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Reviewing three case-studies of learning analytics interventions at the Open University UK
    Rienties, Bart
    Boroowa, Avinash
    Cross, Simon
    Farrington-Flint, Lee
    Herodotou, Christothea
    Prescott, Lynda
    Mayles, Kevin
    Olney, Tom
    Toetenel, Lisette
    Woodthorpe, John
    LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE,, 2016, : 534 - 535
  • [2] An evidence-based review of HR Analytics
    Marler, Janet H.
    Boudreau, John W.
    INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT, 2017, 28 (01): : 3 - 26
  • [3] An evidence-based management framework for business analytics
    Scheibe, Kevin P.
    Nilakanta, Sree
    Ragsdale, Cliff T.
    Younie, Bob
    JOURNAL OF BUSINESS ANALYTICS, 2019, 2 (01) : 47 - 62
  • [4] Open Learning Analytics: A Systematic Review of Benchmark Studies using Open University Learning Analytics Dataset (OULAD)
    Alhakbani, Haya A.
    Alnassar, Fatema M.
    PROCEEDINGS OF 2022 7TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING TECHNOLOGIES, ICMLT 2022, 2022, : 81 - 86
  • [5] Game Analytics Evidence-Based Evaluation of a Learning Game for Intellectual Disabled Users
    Rus Cano, Ana
    Garcia-Tejedor, Alvaro J.
    Alonso-Fernandez, Cristina
    Fernandez-Manjon, Baltasar
    IEEE ACCESS, 2019, 7 : 123820 - 123829
  • [6] Where is the Learning in Learning Analytics? A Systematic Literature Review on the Operationalization of Learning-Related Constructs in the Evaluation of Learning Analytics Interventions
    Knobbout, Justian
    van der Stappen, Esther
    IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2020, 13 (03): : 631 - 645
  • [7] Evidence-based multimodal learning analytics for feedback and reflection in collaborative learning
    Yan, Lixiang
    Echeverria, Vanessa
    Jin, Yueqiao
    Fernandez-Nieto, Gloria
    Zhao, Linxuan
    Li, Xinyu
    Alfredo, Riordan
    Swiecki, Zachari
    Gasevic, Dragan
    Martinez-Maldonado, Roberto
    BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, 2024, 55 (05) : 1900 - 1925
  • [8] A Multimodal Learning Analytics Approach to Support Evidence-based Teaching and Learning Practices
    Shankar, Shashi Kant
    2020 IEEE 20TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2020), 2020, : 381 - 383
  • [9] Toward a Learning Health Care System: A Systematic Review and Evidence-Based Conceptual Framework for Implementation of Clinical Analytics in a Digital Hospital
    Lim, Han Chang
    Austin, Jodie A.
    van der Vegt, Anton H.
    Rahimi, Amir Kamel
    Canfell, Oliver J.
    Mifsud, Jayden
    Pole, Jason D.
    Barras, Michael A.
    Hodgson, Tobias
    Shrapnel, Sally
    Sullivan, Clair M.
    APPLIED CLINICAL INFORMATICS, 2022, 13 (02): : 339 - 354
  • [10] Learning Analytics for Programme Review: Evidence, Analysis, and Action to Improve Student Learning Outcomes
    Christine Armatas
    Theresa Kwong
    Cecilia Chun
    Christine Spratt
    Dick Chan
    Joanna Kwan
    Technology, Knowledge and Learning, 2022, 27 : 461 - 478