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Learning Analytics and Interactive Multimedia Experience in Enhancing Student Learning Experience: A Systemic Approach

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Managing Complex Tasks with Systems Thinking

Abstract

Learning Analytics (LA) is a feedback loop process that generates data based on learning activities defined by teachers. These data are then stored, adapted, reviewed, and cleaned to derive recommendations to improve the learning experience in an endless cycle. LA has been integrated into user-experience-oriented multimedia systems, and the design of Interactive Multimedia Experiences (IME) can include LA to enhance the learning experience and collect data. However, the efficacy of LA in improving students’ learning experiences remains uncertain with mixed findings from various studies. Therefore, further research is required to evaluate the effects of LA tools on student retention. It is also crucial to consider the correlation between multimedia elements and performance, including the quantity and quality of multimedia features and how they interact with learners’ needs and abilities. It is essential to investigate the effectiveness of multimedia elements in engaging users and their impact on learning outcomes. This chapter proposes the identification of critical feedback loops that connect the LA process with IME in multimedia projects. The goal was to develop a dynamic hypothesis explaining how the learning experience relates to user experience and teacher enthusiasm. Researchers and teachers will collaborate to identify reference modes, variables, and feedback loops that connect the Learning Experience with the User Experience. By doing so, we can better understand and improve students’ learning experiences by effectively using LA tools and multimedia elements in IME.

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References

  • Abdelnour-Nocera, J., Oussena, S., & Burns, C. M. (2015). Human work interaction design of the smart university. In Human work interaction design. Work analysis and interaction design methods for pervasive and smart workplaces. https://doi.org/10.1007/978-3-319-27048-7_9

  • About or with Teachers? A systematic review of learning analytics interventions to support teacher professional development [Scite Report]. (n.d.). Accessed April 2, 2023. https://scite.ai/reports/about-or-with-teachers-a-V0zxbQeW?showReferences=true

  • Berard, C. (2010). Group model building using system dynamics: An analysis of methodological frameworks 8(1).

    Google Scholar 

  • Budiarto, F., & Jazuli, A. (2021). Interactive learning multimedia improving learning motivation elementary school students. In Proceedings of the 1st International Conference on Social Sciences, ICONESS 2021, 19 July 2021, Purwokerto, Central Java, Indon. https://doi.org/10.4108/eai.19-7-2021.2312497

  • Chan, A. S. C., Botelho, M. G., & Lam, O. L. T. (2021). An exploration of student access to a learning management system—Challenges and recommendations for educators and researchers. European Journal of Dental Education 25(4). https://doi.org/10.1111/eje.12664

  • Dawson, S., Jovanović, J., Gašević, D., & Pardo, A. (2017). From prediction to impact: Evaluation of a learning analytics retention program. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference.

    Google Scholar 

  • Delobelle, P. (2020). A guide for participatory systems analysis using a group model building approach. In SAGE research methods cases: Medicine and health. SAGE Publications Ltd.

    Google Scholar 

  • Freitas, S., Gibson, D., Plessis, C. D., Halloran, P., Williams, E., Ambrose, M., Dunwell, I., & Arnab, S. (2015). Foundations of dynamic learning analytics: Using university student data to increase retention. British Journal of Educational Technology, 46(6), 1175–1188. https://doi.org/10.1111/bjet.12212

  • Hovmand, P. S., & Hovmand, P. S. (2014). Group model building and community-based system dynamics process. Springer.

    Book  Google Scholar 

  • Ifenthaler, D., Schumacher, C., & Kuzilek, J. (2023). Investigating students’ use of self-assessments in higher education using learning analytics. Journal of Computer Assisted Learning, 39(1), 255–268. https://doi.org/10.1111/jcal.12744

    Article  Google Scholar 

  • Ifenthaler, D., & Yau, J. Y.-K. (2020). Reflections on different learning analytics indicators for supporting study success. International Journal of Learning Analytics and Artificial Intelligence for Education (IJAI), 2(2). https://doi.org/10.3991/ijai.v2i2.15639

  • Ifenthaler, D., & Yau, J. (2021). Supporting teaching staff through data analytics: A systematic review. In ASCILITE 2021: Back to the Future—ASCILITE ’21 Proceedings ASCILITE 2021 in Armidale. https://doi.org/10.14742/ascilite2021.0105

  • Larusson, J. A., & Alterman, R. (2009). Wikis to support the “collaborative” part of collaborative learning. International Journal of Computer-Supported Collaborative Learning, 4, 371–402.

    Google Scholar 

  • Lee, W. W., & Owens, D. L. (2004). Multimedia-based instructional design: Computer-based training, web-based training, distance broadcast training, performance-based solutions. Wiley.

    Google Scholar 

  • Li, K. S., Chen, P. G., Lai, T. Y., Lin, C. H., Cheng, C. C., Chen, C. C., ... & Hu, C. (2015, December). Sub-60mV-swing negative-capacitance FinFET without hysteresis. In 2015 IEEE International Electron Devices Meeting (IEDM) (pp. 22–6). IEEE.

    Google Scholar 

  • Mah, D. (2016). Learning analytics and digital badges: Potential impact on student retention in higher education. Technology, Knowledge and Learning, 21, 285–305.

    Article  Google Scholar 

  • Martins da Silva, L., Dias, L. P. S., Rigo, S., Barbosa, J. L. V., Leithardt, D. R. F., & Leithardt, V. R. Q. (2021). A literature review on intelligent services applied to distance learning. Education Sciences, 11(11). https://doi.org/10.3390/educsci11110666

  • Martinez-Maldonado, R., Schneider, B., Charleer, S., Shum, S. B., Klerkx, J., & Duval, E. (2016). Interactive surfaces and learning analytics. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge—LAK '16. https://doi.org/10.1145/2883851.2883873

  • Mavrikis, M., Geraniou, E., Santos, S., & Poulovassilis, A. (2019). Intelligent analysis and data visualisation for teacher assistance tools: The case of exploratory learning. British Journal of Educational Technology, 50(6). https://doi.org/10.1111/bjet.12876

  • McCoy, C., & Shih, P. M. (2016). Teachers as producers of data analytics: A case study of a teacher-focused educational data science program. Journal of Learning Analytics, 3(3). https://doi.org/10.18608/jla.2016.33.10

  • Melnikova, J., Batuchina, A., Šakytė-Statnickė, G., & Šmitienė, G. (2022). The benefits of learning analytics for education: A study of the experiences of teachers in Norway and Lithuania. Human, Technologies and Quality of Education. https://doi.org/10.22364/htqe.2022.21

  • Mutimukwe, C., Viberg, O., Oberg, L.-M., & Cerratto-Pargman, T. (2022). Students’ privacy concerns in learning analytics: Model development. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13234

    Article  Google Scholar 

  • Nur’Azizah, H., Rahayu, W., & Cahyana, U. (2018). Development of interactive multimedia learning to improve analytical thinking ability of elementary school student on water cycle material. International Journal of Multidisciplinary and Current Research, 6(4). https://doi.org/10.14741/ijmcr/v.6.4.13

  • Omar, M. Z., Makhtar, M., Wan Ibrahim, M. H., & Aziz, A. A. (2020). Sentiment analysis of user feedback in e-learning environment. International Journal of Engineering Trends and Technology. https://doi.org/10.14445/22315381/cati2p224

  • Parlangeli, O., Marchigiani, E., & Bagnara, S. (1999). Multimedia systems in distance education: Effects of usability on learning. Interacting with Computers, 12, 37–49.

    Article  Google Scholar 

  • Peláez, C., Solano, A., & Granollers, T. (2021). Proposal to conceive multimedia systems from a value creation perspective and a collaborative work routes approach. Interact. Des. Archit. Available online: http://www.mifav.uniroma2.it/inevent/events/idea2010/doc/49_1.pdf

  • Qudrat-Ullah, H. (2008). Behavior validity of a simulation model for sustainable development. International Journal of Management and Decision Making, 9(2), 129–139.

    Google Scholar 

  • Qudrat-Ullah, H., & Baek Seo, S. (2010). How to do structural validity of a system dynamics type simulation model: The case of an energy policy model. Energy Policy, 38(5), 2216–2224.

    Google Scholar 

  • Ramaswami, G., Susnjak, T., & Mathrani, A. (2022). Supporting students’ academic performance using explainable machine learning with automated prescriptive analytics. Big Data and Cognitive Computing, 6(4). https://doi.org/10.3390/bdcc6040105

  • Roberts, L. D., Howell, J. A., Seaman, K., & Gibson, D. I. (2016). Student attitudes toward learning analytics in higher education: ‘The fitbit version of the learning world.’ Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2016.01959

    Article  Google Scholar 

  • Rouwette, E. A. J. A., Vennix, J. A. M., & van Mullekom, T. (2002). Group model building effectiveness: A review of assessment studies. System Dynamics Review: the Journal of the System Dynamics Society, 18(1), 5–45.

    Article  Google Scholar 

  • Shen, H., Liang, L., Law, N., Hemberg, E., & O’Reilly, U.-M. (2020). Understanding learner behavior through learning design informed learning analytics. In Proceedings of the Seventh ACM Conference on Learning @ Scale. https://doi.org/10.1145/3386527.3405919

  • Sterman, J. (2002). System dynamics: Systems thinking and modeling for a complex world.

    Google Scholar 

  • Vanaken, H., & Masand, S. N. (2019). Awareness and collaboration across stakeholder groups important for e-consent achieving value-driven adoption. Therapeutic Innovation & Regulatory Science, 53(6). https://doi.org/10.1177/2168479019861924

  • Vesin, B., Mangaroska, K., & Giannakos, M. N. (2018). Learning in smart environments: User-centered design and analytics of an adaptive learning system. Smart Learning Environments, 5(1). https://doi.org/10.1186/s40561-018-0071-0

  • Voinov, A. (2021). Participatory modeling for group decision support. Handbook of Group Decision and Negotiation, 395–411.

    Google Scholar 

  • Wilkinson, K., McNamara, I., Wilson, D., & Riggs, K. (2019). Using learning analytics to evaluate course design and student behavior in an online wine business course. International Journal of Innovation in Science and Mathematics Education, 27(4). https://doi.org/10.30722/IJISME.27.04.008

  • Yahya, A. A., Sulaiman, A., Mashraqi, A. M., Zaidan, Z. M., & Halawani, H. (2021). Toward a better understanding of academic programs educational objectives: A data analytics-based approach. Applied Sciences, 11(20). https://doi.org/10.3390/app11209623

  • Yanyan, X. (2021). Analyzing the quality of business English teaching using multimedia data mining. Mobile Information Systems. https://doi.org/10.1155/2021/9912460

    Article  Google Scholar 

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Correspondence to Jorge-Andrick Parra-Valencia .

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Parra-Valencia, JA., Peláez, CA., Solano, A., López, JA., Ospina, JA. (2023). Learning Analytics and Interactive Multimedia Experience in Enhancing Student Learning Experience: A Systemic Approach. In: Qudrat-Ullah, H. (eds) Managing Complex Tasks with Systems Thinking. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-40635-5_6

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