Learning assessment in the age of big data: Learning analytics in higher education
AbstractData-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various on...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Cogent Education |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/2331186X.2022.2162697 |
| _version_ | 1797671683775004672 |
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| author | Sima Caspari-Sadeghi |
| author_facet | Sima Caspari-Sadeghi |
| author_sort | Sima Caspari-Sadeghi |
| collection | DOAJ |
| description | AbstractData-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various online platforms, digital tools, and communication applications. Meanwhile, it is acknowledged that education lacks computational infrastructure and human capacity to fully exploit the potential of big data. This paper explores the use of Learning Analytics (LA) in higher education for measurement purposes. Four main LA functions in the assessment are outlined: (a) monitoring and analysis, (b) automated feedback, (c) prediction, prevention, and intervention, and (d) new forms of assessment. The paper concludes by discussing the challenges of adopting and upscaling LA as well as the implications for instructors in higher education. |
| first_indexed | 2024-03-11T21:19:12Z |
| format | Article |
| id | doaj.art-af1d84662bff4bbf9f060b9604aeba66 |
| institution | Directory Open Access Journal |
| issn | 2331-186X |
| language | English |
| last_indexed | 2024-03-11T21:19:12Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Education |
| spelling | doaj.art-af1d84662bff4bbf9f060b9604aeba662023-09-28T10:28:08ZengTaylor & Francis GroupCogent Education2331-186X2023-12-0110110.1080/2331186X.2022.2162697Learning assessment in the age of big data: Learning analytics in higher educationSima Caspari-Sadeghi0Habilitandin (Associate Postdoc Researcher) in Empirical Learning Sciences, University of Passau, Gottfried-Schäffer-Straße 20 (IG 302), 94032. Passau, GermanyAbstractData-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various online platforms, digital tools, and communication applications. Meanwhile, it is acknowledged that education lacks computational infrastructure and human capacity to fully exploit the potential of big data. This paper explores the use of Learning Analytics (LA) in higher education for measurement purposes. Four main LA functions in the assessment are outlined: (a) monitoring and analysis, (b) automated feedback, (c) prediction, prevention, and intervention, and (d) new forms of assessment. The paper concludes by discussing the challenges of adopting and upscaling LA as well as the implications for instructors in higher education.https://www.tandfonline.com/doi/10.1080/2331186X.2022.2162697Big datalearning analyticstechnology-enhanced assessment |
| spellingShingle | Sima Caspari-Sadeghi Learning assessment in the age of big data: Learning analytics in higher education Cogent Education Big data learning analytics technology-enhanced assessment |
| title | Learning assessment in the age of big data: Learning analytics in higher education |
| title_full | Learning assessment in the age of big data: Learning analytics in higher education |
| title_fullStr | Learning assessment in the age of big data: Learning analytics in higher education |
| title_full_unstemmed | Learning assessment in the age of big data: Learning analytics in higher education |
| title_short | Learning assessment in the age of big data: Learning analytics in higher education |
| title_sort | learning assessment in the age of big data learning analytics in higher education |
| topic | Big data learning analytics technology-enhanced assessment |
| url | https://www.tandfonline.com/doi/10.1080/2331186X.2022.2162697 |
| work_keys_str_mv | AT simacasparisadeghi learningassessmentintheageofbigdatalearninganalyticsinhighereducation |