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

Jorge Andrick Parra-Valencia, Carlos Alberto Peláez, Andrés Solano, Jesús Alfonso López, Johann Alexis Ospina

Research output: Book / Book Chapter / ReportChapterpeer-review

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 multi-media 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 feed-back 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.

Original languageEnglish
Title of host publicationUnderstanding Complex Systems
PublisherSpringer Science and Business Media Deutschland GmbH
Pages151-175
Number of pages25
DOIs
StatePublished - 2023

Publication series

NameUnderstanding Complex Systems
Volume2023
ISSN (Print)1860-0832
ISSN (Electronic)1860-0840

Keywords

  • Feedback cycle
  • Interactive multimedia experience (IME)
  • Learning analytics (LA)
  • Learning experience
  • Multimedia systems
  • Reference modes
  • Teacher enthusiasm
  • User experience (UX)
  • Variables

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