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Understanding and predicting academic performance through cloud computing adoption: a perspective of technology acceptance model

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Abstract

Cloud computing is becoming an integral part of education community due to its strong acceptance and innovative application for fulfilling their academics needs. In this paper, we theorize how cloud computing adoption enhances student academic performance through personal characteristics and knowledge management paradigm using TAM as a theoretical base. Using survey approach, the present study recruited 322 universities students who are well aware of using cloud-based services (G-mail, G-drive, and WhatsApp). The proposed model and structural relationships validated by employing structural equation modeling in AMOS 24.0 version. How knowledge management dimensions and individual characteristics affect cloud computing adoption and students’ academic performance by integrating the TAM. The results illustrate that knowledge sharing, learnability, and knowledge application are positively associated with perceived-usefulness. Similarly, perceived-self-efficacy and perceived-enjoyment have a positive effect on perceived-ease-of-use. Moreover, perceived-usefulness and perceived-ease-of-use have a significant influence on cloud computing adoption which, in turn, positively accelerates the academic performance. Practical and theoretical implications are discussed followed by limitations and future research directions.

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Acknowledgements

This research was supported by the Natural Science Foundation of China (nos. 71731010 and 71571174).

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Authors and Affiliations

  1. School of Management, University of Science and Technology of China (USTC), North Campus, Building No. 22 Apartment No. 609, Shushan District, Hefei, Anhui, People’s Republic of China

    Zulqurnain Ali

  2. School of Management, University of Science and Technology of China, Hefei, Anhui, People’s Republic of China

    Bi Gongbing

  3. School of Public Affairs, University of Science and Technology of China, Hefei, People’s Republic of China

    Aqsa Mehreen

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  1. Zulqurnain Ali
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Appendix: Questionnaire: survey items

Appendix: Questionnaire: survey items

All items were measured on a five-point Likert Scale: “(1) Strongly disagree (2) Disagree (3) Neutral (4) Agree (5) Strongly Agree”.


Knowledge sharing (KS) (Chiu et al. 2006 and Gold et al. 2001).

  • KS1 The knowledge shared by teachers and class-fellows over clouds is relevant to the topics.

  • KS2 The knowledge shared by teachers and class-fellows over clouds is easy to understand.

  • KS3 The knowledge shared by teachers and class-fellows over clouds is complete.

  • KS4 The knowledge shared by teachers and class-fellows over clouds is reliable.

Knowledge application (KA) (Gold et al. 2001)

  • KA1 Past experiences and knowledge of cloud computing help to tackle academic problems.

  • KA2 Previous experiences and knowledge of clouds help in the decision making process.

  • KA3 Previous experiences and knowledge of clouds should be employed in problem-solving.

Learnability (LA) (McIver and Wang 2016)

  • LA1 A lot of training is needed to perform the work while using cloud computing technology.

  • LA2 Specific skills are needed to perform the work while using cloud computing technology.

  • LA3 Experience is needed to perform the work while using cloud computing technology.

  • LA4 Cloud computing takes a lot of time to learn how to perform the work.

  • LA5 I always know what the results will be before using cloud computing technology.

  • LA6 I could list all the steps that would let someone learn how to do the work while using cloud computing technology.

  • LA7 There are clear steps for how the work in our class needs to be done while using cloud computing technology.

  • LA8 The work we do in our class is performed the same way every time we do it while using cloud computing technology.

Perceived-self-efficacy (PSE) (Lee and Mendlinger 2011)

  • PSE1 I have skills necessary to use the cloud computing services.

  • PSE2 I have an Internet connection fast enough to use the cloud computing services.

  • PSE3 I have the knowledge necessary to use the cloud computing services.

  • PSE4 Overall, I am ready to use the cloud computing services.

Perceived-enjoyment (PE) (Davis et al. 1992)

  • PE1 I find using the cloud technologies to be enjoyable for fulfilling my academics needs.

  • PE2 The actual process of using clouds technologies is pleasant.

  • PE3 I have fun using the clouds technologies.

Perceived-usefulness (PU) (Davis 1989)

  • PU1 Using cloud computing services would improve my academic performance.

  • PU2 Using cloud computing services would increase the efficiency of my studies and work.

  • PU3 Using cloud computing services would make it easier to manage knowledge.

  • PU4 Using cloud computing services in knowledge management would increase my performance.

  • PU5 Using cloud computing services would enable me to accomplish tasks more quickly.

Perceived-ease-of-use (PEU) (Davis 1989)

  • PEU1 Learning to use cloud computing services would be easy for me.

  • PEU2 My interaction with cloud computing services would be clear and understandable.

  • PEU3 It would be easy for me to become skillful by using cloud computing services for knowledge management.

Cloud computing adoption (CCA) (Ajzen 1991)

  • CCA1 I predict that I would continue to use cloud computing services for educational purposes.

  • CCA2 I plan to use cloud computing services to manage my education-related material.

  • CCA3 I intended to use cloud computing services to access educational data in the future.

Academic performance (AP) (Huang 2011)

  • AP1 I can manage my time effectively by using cloud computing.

  • AP2 I can perform well in exams by using cloud computing.

  • AP3 I can participate effectively in class discussions and answering questions by using cloud computing.

  • AP4 I am confident that I can succeed academically in college or university.

  • AP5 I have high goals and expectations for myself.

  • AP6 I desire to perform better in college or university than others

  • AP7 I participate actively in most class learning experiences (i.e., presentations, discussions)

  • AP8 I often work with others students on class projects and assignments.

  • AP9 I work with a faculty member on research projects outside of class

  • AP10 I look up scientific research articles and resources in addition to course materials.

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Ali, Z., Gongbing, B. & Mehreen, A. Understanding and predicting academic performance through cloud computing adoption: a perspective of technology acceptance model. J. Comput. Educ. 5, 297–327 (2018). https://doi.org/10.1007/s40692-018-0114-0

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  • DOI: https://doi.org/10.1007/s40692-018-0114-0

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