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Critical Factors Related to Student Success Technology

Author

Listed:
  • Hans VanDerSchaaf

    (Oregon Health and Science University, Portland OR USA)

  • Tugrul Daim

    (#x2020;Portland State University, Portland OR USA‡Chaoyang University of Technology, Taiwan)

Abstract

This study examines university students’ perspectives on student success technology. Efforts to improve graduation and retention rates for undergraduates (i.e. “student success”) and initiatives to enhance the overall student experience are critical for higher education administrators, faculty and staff. These actors are significantly dependent on technology and technology-mediated services. To help understand student perspectives on online services related to student success, this study uses data from a 2016 survey of ABC University students about the importance and satisfaction that students placed on accomplishing key tasks online (n=1190 respondents). The main questions in this inquiry are: (1) What, if any, factors, or latent variables, are in the data set? (2) If there are latent variables, what might they tell us about students’ perspectives on accomplishing critical online tasks? The study’s main findings are that five factors — navigation, tactical, funding, personalization and planning - are present in the data and statistically significant. The findings also suggest that a sixth factor, funding, is not significant. This study contributes to the literature by supporting the notion that there is harmony between the technology that universities utilize to support students and the value that students derive from such tools.

Suggested Citation

  • Hans VanDerSchaaf & Tugrul Daim, 2020. "Critical Factors Related to Student Success Technology," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1-13, October.
    • Handle: RePEc:wsi:ijitmx:v:17:y:2020:i:06:n:s0219877020500455
    DOI: 10.1142/S0219877020500455
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    Cited by:

    1. Heidary Dahooie, Jalil & Raafat, Romina & Qorbani, Ali Reza & Daim, Tugrul, 2021. "An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    2. Yavuz, Merve & Çorbacıoğlu, Eda & Başoğlu, Ahmet Nuri & Daim, Tugrul Unsal & Shaygan, Amir, 2021. "Augmented reality technology adoption: Case of a mobile application in Turkey," Technology in Society, Elsevier, vol. 66(C).

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