The adoption and use of learning analytics tools to improve decision making in higher learning institutions: An extension of technology acceptance model
Learning Analytics Tools (LATs) can be used for informed decision-making regarding teaching strategies and their continuous enhancement. Therefore, LATs must be adopted in higher learning institutions, but several factors hinder its implementation, primarily due to the lack of an implementation mode...
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Elsevier
2024-02-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024023466 |
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author | Muaadh Mukred Umi Asma’ Mokhtar Burkan Hawash Hussain AlSalman Muhammad Zohaib |
author_facet | Muaadh Mukred Umi Asma’ Mokhtar Burkan Hawash Hussain AlSalman Muhammad Zohaib |
author_sort | Muaadh Mukred |
collection | DOAJ |
description | Learning Analytics Tools (LATs) can be used for informed decision-making regarding teaching strategies and their continuous enhancement. Therefore, LATs must be adopted in higher learning institutions, but several factors hinder its implementation, primarily due to the lack of an implementation model. Therefore, in this study, the focus is directed towards examining LATs adoption in Higher Learning Institutions (HLIs), with emphasis on the determinants of the adoption process. The study mainly aims to design a model of LAT adoption and use it in the above context to improve the institutions' decision-making and accordingly, the study adopted an extended version of Technology Acceptance Model (TAM) as the underpinning theory. Five experts validated the employed survey instrument, and 500 questionnaire copies were distributed through e-mails, from which 275 copies were retrieved from Saudi employees working at public HLIs. Data gathered was exposed to Partial Least Square-Structural Equation Modeling (PLS-SEM) for analysis and to test the proposed conceptual model. Based on the findings, the perceived usefulness of LAT plays a significant role as a determinant of its adoption. Other variables include top management support, financial support, and the government's role in LATs acceptance and adoption among HLIs. The findings also supported the contribution of LAT adoption and acceptance towards making informed decisions and highlighted the need for big data facility and cloud computing ability towards LATs usefulness. The findings have significant implications towards LATs implementation success among HLIs, providing clear insights into the factors that can enhance its adoption and acceptance. They also lay the basis for future studies in the area to validate further the effect of LATs on decision-making among HLIs institutions. Furthermore, the obtained findings are expected to serve as practical implications for policy makers and educational leaders in their objective to implement LAT using a multi-layered method that considers other aspects in addition to the perceptions of the individual user. |
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institution | Directory Open Access Journal |
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language | English |
last_indexed | 2024-04-25T01:20:38Z |
publishDate | 2024-02-01 |
publisher | Elsevier |
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spelling | doaj.art-b36731a22d7348d5913ac2edade011222024-03-09T09:27:57ZengElsevierHeliyon2405-84402024-02-01104e26315The adoption and use of learning analytics tools to improve decision making in higher learning institutions: An extension of technology acceptance modelMuaadh Mukred0Umi Asma’ Mokhtar1Burkan Hawash2Hussain AlSalman3Muhammad Zohaib4Department of Business Analytics, Sunway Business School, Sunway University, 5, Jalan University, Bandar Sunway, 47500, Petaling Jaya, Selangor, Malaysia; Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia; Corresponding author. Department of Business Analytics, Sunway Business School, Sunway University, 5, Jalan University, Bandar Sunway, 47500, Petaling Jaya, Selangor, Malaysia.Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaFaculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaSoftware Engineering Department, Lappeenranta-Lahti University of Technology, 53851 Lappeenranta, FinlandLearning Analytics Tools (LATs) can be used for informed decision-making regarding teaching strategies and their continuous enhancement. Therefore, LATs must be adopted in higher learning institutions, but several factors hinder its implementation, primarily due to the lack of an implementation model. Therefore, in this study, the focus is directed towards examining LATs adoption in Higher Learning Institutions (HLIs), with emphasis on the determinants of the adoption process. The study mainly aims to design a model of LAT adoption and use it in the above context to improve the institutions' decision-making and accordingly, the study adopted an extended version of Technology Acceptance Model (TAM) as the underpinning theory. Five experts validated the employed survey instrument, and 500 questionnaire copies were distributed through e-mails, from which 275 copies were retrieved from Saudi employees working at public HLIs. Data gathered was exposed to Partial Least Square-Structural Equation Modeling (PLS-SEM) for analysis and to test the proposed conceptual model. Based on the findings, the perceived usefulness of LAT plays a significant role as a determinant of its adoption. Other variables include top management support, financial support, and the government's role in LATs acceptance and adoption among HLIs. The findings also supported the contribution of LAT adoption and acceptance towards making informed decisions and highlighted the need for big data facility and cloud computing ability towards LATs usefulness. The findings have significant implications towards LATs implementation success among HLIs, providing clear insights into the factors that can enhance its adoption and acceptance. They also lay the basis for future studies in the area to validate further the effect of LATs on decision-making among HLIs institutions. Furthermore, the obtained findings are expected to serve as practical implications for policy makers and educational leaders in their objective to implement LAT using a multi-layered method that considers other aspects in addition to the perceptions of the individual user.http://www.sciencedirect.com/science/article/pii/S2405844024023466Learning analyticsHigher learning institutionsTechnology adoptionTechnology acceptance modelDecision-making |
spellingShingle | Muaadh Mukred Umi Asma’ Mokhtar Burkan Hawash Hussain AlSalman Muhammad Zohaib The adoption and use of learning analytics tools to improve decision making in higher learning institutions: An extension of technology acceptance model Heliyon Learning analytics Higher learning institutions Technology adoption Technology acceptance model Decision-making |
title | The adoption and use of learning analytics tools to improve decision making in higher learning institutions: An extension of technology acceptance model |
title_full | The adoption and use of learning analytics tools to improve decision making in higher learning institutions: An extension of technology acceptance model |
title_fullStr | The adoption and use of learning analytics tools to improve decision making in higher learning institutions: An extension of technology acceptance model |
title_full_unstemmed | The adoption and use of learning analytics tools to improve decision making in higher learning institutions: An extension of technology acceptance model |
title_short | The adoption and use of learning analytics tools to improve decision making in higher learning institutions: An extension of technology acceptance model |
title_sort | adoption and use of learning analytics tools to improve decision making in higher learning institutions an extension of technology acceptance model |
topic | Learning analytics Higher learning institutions Technology adoption Technology acceptance model Decision-making |
url | http://www.sciencedirect.com/science/article/pii/S2405844024023466 |
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