IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v14y2024i2p21582440241242180.html
   My bibliography  Save this article

A Systematic Review of Big Data Driven Education Evaluation

Author

Listed:
  • Lin Lin
  • Danhua Zhou
  • Jingying Wang
  • Yu Wang

Abstract

The rapid development of artificial intelligence has driven the transformation of educational evaluation into big data-driven. This study used a systematic literature review method to analyzed 44 empirical research articles on the evaluation of big data education. Firstly, it has shown an increasing trend year by year, and is mainly published in thematic journals such as educational technology, science education, and language teaching. Chinese and American researchers have made the greatest contributions in this field. Secondly, the algorithmic models for big data education evaluation research are diverse, the text modality is the most popular, the evaluation subjects are mainly college students, with fewer primary and secondary school students, and science is the discipline that most commonly applies big data education evaluation. The evaluation objectives of big data education evaluation mainly focus on five aspects: high-order thinking analysis, learning performance prediction, learning emotion recognition, teaching management decision-making, and evaluation mode optimization, and the text modality is widely used for data collection in high-order thinking analysis; regardless of the evaluation objectives, higher education students are the most widely evaluated objects; the science discipline is the main field of using big data technology to empower teaching evaluation. Thirdly, the current research topics of big data education evaluation mainly focus on online learning behavior and environmental participation evaluation, process assessment of learning motivation and emotional analysis, development and optimization of subject domain big data models, cognitive diagnosis and high-order thinking skills evaluation, and design of learning analysis frameworks based on data mining.

Suggested Citation

  • Lin Lin & Danhua Zhou & Jingying Wang & Yu Wang, 2024. "A Systematic Review of Big Data Driven Education Evaluation," SAGE Open, , vol. 14(2), pages 21582440241, April.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:2:p:21582440241242180
    DOI: 10.1177/21582440241242180
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440241242180
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440241242180?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kanadpriya Basu & Treena Basu & Ron Buckmire & Nishu Lal, 2019. "Predictive Models of Student College Commitment Decisions Using Machine Learning," Data, MDPI, vol. 4(2), pages 1-18, May.
    2. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    3. Alessandro Liberati & Douglas G Altman & Jennifer Tetzlaff & Cynthia Mulrow & Peter C Gøtzsche & John P A Ioannidis & Mike Clarke & P J Devereaux & Jos Kleijnen & David Moher, 2009. "The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-28, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alessandro Concari & Gerjo Kok & Pim Martens, 2020. "A Systematic Literature Review of Concepts and Factors Related to Pro-Environmental Consumer Behaviour in Relation to Waste Management Through an Interdisciplinary Approach," Sustainability, MDPI, vol. 12(11), pages 1-50, May.
    2. Giuseppe La Torre & Remigio Bova & Rosario Andrea Cocchiara & Cristina Sestili & Anna Tagliaferri & Simona Maggiacomo & Camilla Foschi & William Zomparelli & Maria Vittoria Manai & David Shaholli & Va, 2023. "What Are the Determinants of the Quality of Systematic Reviews in the International Journals of Occupational Medicine? A Methodological Study Review of Published Literature," IJERPH, MDPI, vol. 20(2), pages 1-12, January.
    3. Frank Peinemann & Ulrich Grouven & Nicolaus Kröger & Carmen Bartel & Max H Pittler & Stefan Lange, 2011. "First-Line Matched Related Donor Hematopoietic Stem Cell Transplantation Compared to Immunosuppressive Therapy in Acquired Severe Aplastic Anemia," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-16, April.
    4. Jonathan Kingsley & Aisling Bailey & Nooshin Torabi & Pauline Zardo & Suzanne Mavoa & Tonia Gray & Danielle Tracey & Philip Pettitt & Nicholas Zajac & Emily Foenander, 2019. "A Systematic Review Protocol Investigating Community Gardening Impact Measures," IJERPH, MDPI, vol. 16(18), pages 1-12, September.
    5. S. Rajsic & H. Gothe & H. H. Borba & G. Sroczynski & J. Vujicic & T. Toell & Uwe Siebert, 2019. "Economic burden of stroke: a systematic review on post-stroke care," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 107-134, February.
    6. Sibonokuhle Ndlovu, 2023. "Preparedness and Response to COVID-19 Disruptions and Learning Challenges for Students with Disabilities in South Africa: A Systematic Review," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    7. Abbas Mardani & Dalia Streimikiene & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Mehrbakhsh Nilashi & Ahmad Jusoh & Habib Zare, 2017. "Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis," Sustainability, MDPI, vol. 9(10), pages 1-65, October.
    8. Luísa Bandeira Lopes & João Albernaz Neves & João Botelho & Vanessa Machado & José João Mendes, 2021. "Regenerative Endodontic Procedures: An Umbrella Review," IJERPH, MDPI, vol. 18(2), pages 1-17, January.
    9. Gaspar, Rui & Yan, Zheng & Domingos, Samuel, 2019. "Extreme natural and man-made events and human adaptive responses mediated by information and communication technologies' use: A systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 125-135.
    10. Nicholas A. Kirk & Nicholas A. Cradock-Henry, 2022. "Land Management Change as Adaptation to Climate and Other Stressors: A Systematic Review of Decision Contexts Using Values-Rules-Knowledge," Land, MDPI, vol. 11(6), pages 1-23, May.
    11. Timothy Noblet & John Marriott & Emma Graham-Clarke & Debra Shirley & Alison Rushton, 2018. "Clinical and cost-effectiveness of non-medical prescribing: A systematic review of randomised controlled trials," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-15, March.
    12. Abbas Mardani & Mehrbakhsh Nilashi & Jurgita Antucheviciene & Madjid Tavana & Romualdas Bausys & Othman Ibrahim, 2017. "Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature," Complexity, Hindawi, vol. 2017, pages 1-33, October.
    13. Wen-Hsiu Yeh & Ya-Ju Ju & Yu-Ting Liu & Ting-Yi Wang, 2022. "Systematic Review and Meta-Analysis on the Effects of Neurofeedback Training of Theta Activity on Working Memory and Episodic Memory in Healthy Population," IJERPH, MDPI, vol. 19(17), pages 1-14, September.
    14. Gourzoulidis, George & Kourlaba, Georgia & Stafylas, Panagiotis & Giamouzis, Gregory & Parissis, John & Maniadakis, Nikolaos, 2017. "Association between copayment, medication adherence and outcomes in the management of patients with diabetes and heart failure," Health Policy, Elsevier, vol. 121(4), pages 363-377.
    15. Cristina Chifor & Iulia D. Arion & Vlad I. Isarie & Felix H. Arion, 2022. "A Systematic Literature Review on European Food Quality Schemes in Romania," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    16. Snyder, Hannah, 2019. "Literature review as a research methodology: An overview and guidelines," Journal of Business Research, Elsevier, vol. 104(C), pages 333-339.
    17. Pineros-Leano, María & Parchment, Tyrone M. & Calvo, Rocío, 2023. "Family interventions to improve mental, emotional, and behavioral health outcomes among Latinx youth: A systematic review," Children and Youth Services Review, Elsevier, vol. 145(C).
    18. Teresa Loda & Rebecca Erschens & Hannah Loenneker & Katharina E Keifenheim & Christoph Nikendei & Florian Junne & Stephan Zipfel & Anne Herrmann-Werner, 2019. "Cognitive and social congruence in peer-assisted learning – A scoping review," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-15, September.
    19. Emma N Bermingham & David G Thomas & Nicholas J Cave & Penelope J Morris & Richard F Butterwick & Alexander J German, 2014. "Energy Requirements of Adult Dogs: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-23, October.
    20. Diego Tlapa & Ignacio Franco-Alucano & Jorge Limon-Romero & Yolanda Baez-Lopez & Guilherme Tortorella, 2022. "Lean, Six Sigma, and Simulation: Evidence from Healthcare Interventions," Sustainability, MDPI, vol. 14(24), pages 1-25, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:14:y:2024:i:2:p:21582440241242180. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.