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Exploring the Learning Analytics Equation: What about the 'Carpe Diem' of Teaching and Learning?

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Title: Exploring the Learning Analytics Equation: What about the 'Carpe Diem' of Teaching and Learning?
Language: English
Authors: Bozkurt, Aras (ORCID 0000-0002-4520-642X), Sharma, Ramesh C. (ORCID 0000-0002-1371-1157)
Source: Asian Journal of Distance Education. pi-xiv 2022 17(2).
Availability: Asian Society of Open and Distance Education. 80-4 Minou Yamamoto Machi, Kurume City, Fukuoka, 839-0826, Japan. e-mail: editor@asianjde.org; Web site: http://asianjde.com/ojs/index.php/AsianJDE
Peer Reviewed: Y
Page Count: 14
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Descriptors: Learning Analytics, Teaching Methods, Learning Processes, Prediction, Bibliometrics, Interdisciplinary Approach, Technological Literacy, Social Networks, Network Analysis, Data Analysis, Instructional Improvement, Multimedia Materials, Instructional Design, Ethics, Privacy, Social Values, Research Reports
ISSN: 1347-9008
Abstract: Humans have always been lured by the idea that they can use data to understand a phenomenon and make predictions about it. Learning analytics, in this sense, promise to understand and optimize learning and the environments in which it occurs by collecting data from learners and learning contexts. In this regard, this study systematically examines research on learning analytics through bibliometric, data mining, and analytics approaches. This paper argues that research interest in learning analytics is increasing steadily; some countries, higher education institutions, and researchers have a specific research agenda that indicates their intention to specialize in that field. It is also noted that there is a need for more interdisciplinary studies on learning analytics and a further need to merge technological capabilities with pedagogy. Based on the findings of text-mining and social network analysis, the following themes were identified: (1) learning analytics to improve teaching and personalize learning, (2) hegemony of data-driven teaching and learning practices, (3) multimodal learning analytics as the next generation practice, (4) learning design for learning analytics, (5) formative assessment through learning analytics, (6) learning analytics for social online learning spaces, and (7) privacy and ethical concerns to overcome. This paper suggests focusing on issues such as ethics and privacy and warns researchers to pay attention to the risks of both an educational panoptic society and quantified decision-making processes. Furthermore, rather than relying on algorithms, it is suggested to incorporate social values and center the learners in the learning analytics processes. Finally, this paper asks the following: "If we quantify the learning processes, how can we benefit from the carpe diem of educational processes and then seize the beauty of teaching and learning?"
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1373860
Database: ERIC
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  Data: Exploring the Learning Analytics Equation: What about the 'Carpe Diem' of Teaching and Learning?
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  Data: <searchLink fieldCode="AR" term="%22Bozkurt%2C+Aras%22">Bozkurt, Aras</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-4520-642X">0000-0002-4520-642X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Sharma%2C+Ramesh+C%2E%22">Sharma, Ramesh C.</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1371-1157">0000-0002-1371-1157</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Asian+Journal+of+Distance+Education%22"><i>Asian Journal of Distance Education</i></searchLink>. pi-xiv 2022 17(2).
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  Data: Asian Society of Open and Distance Education. 80-4 Minou Yamamoto Machi, Kurume City, Fukuoka, 839-0826, Japan. e-mail: editor@asianjde.org; Web site: http://asianjde.com/ojs/index.php/AsianJDE
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  Data: 14
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  Data: <searchLink fieldCode="DE" term="%22Learning+Analytics%22">Learning Analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Processes%22">Learning Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction%22">Prediction</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Interdisciplinary+Approach%22">Interdisciplinary Approach</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+Literacy%22">Technological Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Networks%22">Social Networks</searchLink><br /><searchLink fieldCode="DE" term="%22Network+Analysis%22">Network Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Analysis%22">Data Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Improvement%22">Instructional Improvement</searchLink><br /><searchLink fieldCode="DE" term="%22Multimedia+Materials%22">Multimedia Materials</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Design%22">Instructional Design</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Values%22">Social Values</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Reports%22">Research Reports</searchLink>
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  Data: Humans have always been lured by the idea that they can use data to understand a phenomenon and make predictions about it. Learning analytics, in this sense, promise to understand and optimize learning and the environments in which it occurs by collecting data from learners and learning contexts. In this regard, this study systematically examines research on learning analytics through bibliometric, data mining, and analytics approaches. This paper argues that research interest in learning analytics is increasing steadily; some countries, higher education institutions, and researchers have a specific research agenda that indicates their intention to specialize in that field. It is also noted that there is a need for more interdisciplinary studies on learning analytics and a further need to merge technological capabilities with pedagogy. Based on the findings of text-mining and social network analysis, the following themes were identified: (1) learning analytics to improve teaching and personalize learning, (2) hegemony of data-driven teaching and learning practices, (3) multimodal learning analytics as the next generation practice, (4) learning design for learning analytics, (5) formative assessment through learning analytics, (6) learning analytics for social online learning spaces, and (7) privacy and ethical concerns to overcome. This paper suggests focusing on issues such as ethics and privacy and warns researchers to pay attention to the risks of both an educational panoptic society and quantified decision-making processes. Furthermore, rather than relying on algorithms, it is suggested to incorporate social values and center the learners in the learning analytics processes. Finally, this paper asks the following: "If we quantify the learning processes, how can we benefit from the carpe diem of educational processes and then seize the beauty of teaching and learning?"
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  Data: EJ1373860
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1373860
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      – Text: English
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        PageCount: 14
    Subjects:
      – SubjectFull: Learning Analytics
        Type: general
      – SubjectFull: Teaching Methods
        Type: general
      – SubjectFull: Learning Processes
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      – SubjectFull: Prediction
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      – SubjectFull: Bibliometrics
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      – SubjectFull: Interdisciplinary Approach
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      – SubjectFull: Technological Literacy
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      – SubjectFull: Social Networks
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      – SubjectFull: Network Analysis
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      – SubjectFull: Data Analysis
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      – SubjectFull: Instructional Improvement
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      – TitleFull: Exploring the Learning Analytics Equation: What about the 'Carpe Diem' of Teaching and Learning?
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