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Articles

A systematic review on the deployment and effectiveness of data analytics in higher education to improve student outcomes

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Emilio Jesús Lizarte Simón & José Gijón Puerta. (2022) Prediction of early dropout in higher education using the SCPQ. Cogent Psychology 9:1.
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Caroline Wilson, Stuart Sims, Jen Dyer & Fiona Handley. (2022) Identifying opportunities and gaps in current evaluation frameworks – the knowns and unknowns in determining effective student engagement activity. Assessment & Evaluation in Higher Education 47:6, pages 843-856.
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Richard Fuller, Viktoria C. T. Goddard, Vishna D. Nadarajah, Tamsin Treasure-Jones, Peter Yeates, Karen Scott, Alexandra Webb, Krisztina Valter & Eeva Pyorala. (2022) Technology enhanced assessment: Ottawa consensus statement and recommendations. Medical Teacher 44:8, pages 836-850.
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Josep Figueroa-Cañas & Teresa Sancho-Vinuesa. (2021) Changing the recent past to reduce ongoing dropout: an early learning analytics intervention for an online statistics course. Open Learning: The Journal of Open, Distance and e-Learning 0:0, pages 1-18.
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Articles from other publishers (14)

Ana Stojanov & Ben Kei Daniel. (2023) A decade of research into the application of big data and analytics in higher education: A systematic review of the literature. Education and Information Technologies 29:5, pages 5807-5831.
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Kristoffer Ibsen & Michael Rosholm. (2024) What Works? Interventions Aimed at Reducing Student Dropout in Higher Education. SSRN Electronic Journal.
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Anne Uukkivi, Oksana Labanova, Karin Lellep & Natalja Maksimova. 2024. Towards a Hybrid, Flexible and Socially Engaged Higher Education. Towards a Hybrid, Flexible and Socially Engaged Higher Education 412 419 .
Katie E. Rakow, Rebecca J. Upsher, Juliet L. H. Foster, Nicola C. Byrom & Eleanor J. Dommett. (2023) Student perspectives on their digital footprint in virtual learning environments. Frontiers in Education 8.
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Stacey Lynn von Winckelmann. (2023) Predictive algorithms and racial bias: a qualitative descriptive study on the perceptions of algorithm accuracy in higher education. Information and Learning Sciences 124:9/10, pages 349-371.
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Jeffrey C. Sun. (2023) Gaps, guesswork, and ghosts lurking in technology integration: Laws and policies applicable to student privacy. British Journal of Educational Technology 54:6, pages 1604-1618.
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José Gijón, Meriem K. Gijón, Pablo García & Emilio J. Lizarte. (2023) Dropout stories of Andalusian university students. Frontiers in Education 8.
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Melissa Bond, Olga Viberg & Nina Bergdahl. (2023) The current state of using learning analytics to measure and support K-12 student engagement: A scoping review. The current state of using learning analytics to measure and support K-12 student engagement: A scoping review.
Justian Knobbout, Esther van der Stappen, Johan Versendaal & Rogier van de Wetering. (2023) Supporting Learning Analytics Adoption: Evaluating the Learning Analytics Capability Model in a Real-World Setting. Applied Sciences 13:5, pages 3236.
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Bardo Herzig. 2023. Bildung und Medien. Bildung und Medien 89 108 .
Guy Brown & Carly Foster. 2023. AI, Blockchain and Self-Sovereign Identity in Higher Education. AI, Blockchain and Self-Sovereign Identity in Higher Education 125 142 .
Carly Foster. 2023. AI, Blockchain and Self-Sovereign Identity in Higher Education. AI, Blockchain and Self-Sovereign Identity in Higher Education 53 65 .
Meina Zhu, Annisa R. Sari & Mimi Miyoung Lee. (2022) Trends and Issues in MOOC Learning Analytics Empirical Research: A Systematic Literature Review (2011–2021). Education and Information Technologies 27:7, pages 10135-10160.
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Carly Palmer Foster. 2020. Adoption of Data Analytics in Higher Education Learning and Teaching. Adoption of Data Analytics in Higher Education Learning and Teaching 137 158 .

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