Abstract
Though it is well-accepted that Task-Technology Fit theory is a useful framework for examining university student success in online courses, the effectiveness of the theory has rarely been studied with graduate-level students or with a sample representing more than a few universities or programs. The current study investigated learners’ perceived performance in a national sample of students in over 400 graduate-level online learning environments through a path analysis involving five theoretically important constructs in the context of Task-Technology Fit theory. The results demonstrate that learners’ perceived performance will by and large be most greatly influenced by the value of the task. Task value was the strongest predictor after controlling for other variables in the model, followed by quality of content. Learner performance depends on how they perceive both the quality of the content as well as the design of the course itself. The Ease of use, relationships between users, and technology satisfaction had weaker relationships with performance, all leading to the understanding that online education organizations and information systems companies worldwide should emphasize usability when designing LMSs if the goal is to boost learners’ performance and satisfaction.
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Acknowledgments
We would like to thank the University of Kansas School of Education for funding support to complete this study. Also, we would like to thank Taibah University for fellowship support.
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Appendix. Scale items
Appendix. Scale items
Performance:
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I really enjoyed completing this course.
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Performing well in this course made me feel good about myself.
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I felt that doing well in this course was imperative for me.
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Completing this course moved me closer to attaining my career goals.
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I feel able to perform well in this course.
Ease Of Use:
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The technology is easy to use.
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The technology is user-friendly.
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I learned how to use the technology quickly.
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The technology does everything that I would expect it to do.
Task Value:
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I liked the subject matter of this course.
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I will be able to use what I learned in this course in my job.
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In the long run, I will be able to use what I learned in this course.
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This course provided a great deal of practical information.
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I was very interested in the content of this course.
Relationship between Users:
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The instructor provided feedback in a timely fashion.
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I felt comfortable conversing through the online medium.
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The instructor is responsive to student needs.
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The instructor provides timely feedback about student progress.
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There was a lot of student-instructor interaction.
Technology Satisfaction:
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Technological problems hurt my participation.
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I had to spend time dealing with technological problems and glitches.
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My internet connection limits my access to this course.
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I can't use my own device to access this course.
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The website makes it difficult for me to complete my work for this class on time.
Quality of Content:
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This course included many interesting activities.
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The knowledge I gained by taking this course can be applied in many different situations.
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The quality of instruction is excellent.
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I feel confident in my ability to learn this material.
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I felt motivated to explore content related questions.
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I can apply the knowledge created in this course to my work or other non-class related activities.
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Learning activities helped me construct explanations/solutions.
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I can describe ways to test and apply the knowledge created in this course.
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Alanazi, A.A., Frey, B.B., Niileksela, C. et al. The Role of Task Value and Technology Satisfaction in Student Performance in Graduate-Level Online Courses. TechTrends 64, 922–930 (2020). https://doi.org/10.1007/s11528-020-00501-8
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DOI: https://doi.org/10.1007/s11528-020-00501-8