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Experiential learning in web development courses: Examining students’ performance, perception and acceptance

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Abstract

This study investigates students’ performance, perception and acceptance when experiential learning approaches are integrated in Computer Science courses. An experiential learning approach has been designed to assist students in web development courses. The proposed learning approach in based on real-world examples and the abstraction of terminology using a sequential wizard-based logic. A survey model has been constructed and an exploratory study is conducted on 54 under and post graduate students. Results demonstrated high degree of perception and acceptance, as well as high performance scores. No gender differences have been detected in the examined sample and several strong correlations have been found among the measured variables. In particular, perceived ease of use and usefulness are strongly correlated to each other as well as to self-efficacy, willingness to learn and satisfaction. Satisfaction and self-efficacy are not correlated to each other, while performance has not been affected by anyone of the measured variables.

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References

  • Alenezia, A. M., & Shahib, K. K. (2015). Interactive e-learning through second life with blackboard technology. Procedia - Social and Behavioral Sciences, IETC, 176, 891–897.

    Article  Google Scholar 

  • Beckwith, L., Inman, D., Rector, K., & Burnett, M. (2007). On to the real world: Gender and self-efficacy in Exce. In Proc. VLHCC, IEEE (2007), 119–126.

  • Bronwin, J., Andre, C., & Jean, G. (2010). The evaluation of an adaptive user interface model. In Proceedings of the 2010 Annual research conference of the south African Institute of Computer Scientists and Information Technologists (SAICSIT '10). ACM, New York, 132–143.

  • Budd, J. M., Chu, C. M., Dali, K., & O'Brien, H. (2016). Making an impact through experiential learning. In proceedings of the Association for Information Science and Technology banner, 1–4 .

  • Burnett, M. M., Beckwith, L., Wiedenbeck, S., Fleming, S. D., Cao, J., Park, T. H., Grigoreanu, V., & Rector, K. (2011). Gender pluralism in problem-solving software. Interacting with Computers, 23(5), 450–460.

    Article  Google Scholar 

  • Davies, D., Jindal-Snapeb, D., Collier, C., Digbya, R., Haya, P., & Howea, A. (2012). Creative learning environments in education—A systematic literature review. Thinking Skills and Creativity, Elsevier, 8, 80–91.

    Article  Google Scholar 

  • EC. (2019). Online: https://ec.europa.eu/digital-single-market/en/women-ict. Accessed 18/7/2019.

  • Ferreira, D. J. (2013). Fostering the creative development of computer science students in programming and interaction design. Procedia Computer Science, Elsevier, 18, 1446–1455.

    Article  Google Scholar 

  • Gasparinatou, A., & Grigoriadou, M. (2015). Supporting student learning in computer science education via the adaptive learning environment ALMA. Systems, 3, 237–263.

    Article  Google Scholar 

  • Giannakos, M., Jaccheri, L., & Proto, R. (2013). Teaching computer science to young children through creativity: Lessons learned from the case of Norway. Conference: In Computer Science Education Research Conference.

  • Huang, Y., Chang, D.-F., & Wu, B. (2017). Mobile game-based learning with a Mobile app: Motivational effects and learning performance. Journal of Advanced Computational Intelligence and Intelligent Informatics, 21, 963–970.

    Article  Google Scholar 

  • Konak, A., Clark, T. K., & Nasereddin, M. (2014). Using Kolb's experiential learning cycle to improve student learning in virtual computer laboratories. Computers & Education, 72, 11–22.

    Article  Google Scholar 

  • Lacramioara, O. C. (2014). Interactive and creative learning of the adults. Procedia - Social and Behavioral Sciences, 142, 493–498.

    Article  Google Scholar 

  • Marin, E. (2014). Experiential learning: Empowering students to take control of their learning by engaging them in an interactive course simulation environment. The 6th international conference Edu world 2014 “education facing contemporary world issues”, Procedia - social and behavioral sciences 180, 854–859.

  • McLoughlin I. V., & Nakano, K. (2010). A Perspective on the Experiential Learning of Computer Architecture. 2010 IEEE/ACM Int'l conference on green computing and Communications & Int'l conference on cyber, Physical and Social Computing, Hangzhou, pp. 868–872.

  • Protogeros, N., & Tzafilkou, K. (2015). Simple-talking database development. Computers in Human Behavior, 48(C), 273–289.

    Google Scholar 

  • Serrano, E., Molina, M., Manrique, D., & Baumela, L. (2017). Experiential learning in data science: From the dataset repository to the platform of experiences. 13th International Conference on Intelligent Environments, 22, https://doi.org/10.3233/978-1-61499-796-2-122.

  • Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3–4), 591–611.

    Article  MathSciNet  Google Scholar 

  • Terzis, V., & Economides, A. A. (2011). Computer based assessment: Gender differences in perceptions and acceptance. Computers in Human Behavior, 27(6), 2108–2122.

    Article  Google Scholar 

  • Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 124–143.

    Article  Google Scholar 

  • Tzafilkou, K., & Protogeros, N. (2018). Education and Information Technologies, 23, 1175.

    Article  Google Scholar 

  • Tzafilkou, K., Chouliara, A., Protogeros, N., Karagiannidis, C. & Koumpis, A. (2015). Engaging end-users in creating data-intensive Mobile applications: A creative ‘e-learning-by-doing’ approach. International conference on interactive mobile communication technologies and learning (IMCL), IEEE.

  • Tzafilkou, K., Protogeros, N., Karagiannidis, C., & Koumpis, A. (2017). Gender-based behavioral analysis for end-user development and the `RULES' attributes. Education and Information Technologies, 22(4), 1853–1894.

    Article  Google Scholar 

  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

    Article  Google Scholar 

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All data can be available after request.

Funding

This research is funded by the University of Macedonia Research Committee as part of the “Principal Research 2019” funding program.

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Authors and Affiliations

  1. Interdepartmental Postgraduate Programme of Information Systems, University of Macedonia, Egnatia Str. 156, 54636, Thessaloniki, Greece

    Katerina Tzafilkou & Adamandia Chouliara

  2. Department of Accounting and Finance, University of Macedonia, Egnatia Str. 156, 54636, Thessaloniki, Greece

    Nicolaos Protogeros

Authors
  1. Katerina Tzafilkou
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  2. Nicolaos Protogeros
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  3. Adamandia Chouliara
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Correspondence to Katerina Tzafilkou.

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APPENDIX A - Distribution Histograms

APPENDIX A - Distribution Histograms

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Performance distribution histogram

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Perceived Usefulness distribution histogram

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Perceived Ease of Use distribution histogram

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Satisfaction distribution histogram

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Self-Efficacy distribution histogram

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Willingness to Learn distribution histogram

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Tzafilkou, K., Protogeros, N. & Chouliara, A. Experiential learning in web development courses: Examining students’ performance, perception and acceptance. Educ Inf Technol 25, 5687–5701 (2020). https://doi.org/10.1007/s10639-020-10211-6

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  • DOI: https://doi.org/10.1007/s10639-020-10211-6

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