Measuring the Effects of Student Satisfaction and the Engagement Level of Personalized Adaptive Learning Using an AI-Enabled Learning Pathway Tool (75298)

Session Information:

Session: On Demand
Room: Virtual Video Presentation
Presentation Type: Virtual Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

Critical voices on the traditional "one-size-fits-all" education system, which assumes a uniform approach for all students, abound for not meeting individual student learning needs. Expecting teachers to cater to the diverse learning needs of each student is seen impractical and unrealistic. There is a growing demand for personalized student-centered education, aiming to accommodate the unique learning needs, abilities, and interests. Modern educational systems are incorporating innovations like Artificial Intelligence (AI), which not only personalize students’ educational experiences but also make them adaptive. The concept of Personalized Adaptive Learning (PAL), which systematically tailor instruction to individual learners has gained prominence as a key educational reform effort in contemporary systems. As more teachers embrace PAL, it presents an opportunity to explore the relationship between student satisfaction and their level of engagement. In this study conducted in Singapore, PAL was implemented to 1061 students across three subjects – theory-based marketing, calculation-based statistics, and procedural airway bill calculation. The analysis is done by using factor analysis, Kruskal-Wallis test, Friedman test and Kendall tau correlation coefficient. The results revealed significant differences in the ratings of the three subjects between different constructs (lesson content, personalization and mobile devices) except for the system user interface construct. Moreover, there was a significant difference between all constructs among the students. Interestingly, the level of engagement is significant for three constructs: system user interface, lesson content and personalization. These findings provide insights into the factors that are likely significant antecedents for planning, designing and implementing PAL to enhance student satisfaction.

Authors:
Li Fern Tan, Temasek Polytechnic, Singapore
Poh Nguk Lau, Temasek Polytechnic, Singapore
Steven Ck Ng, Temasek Polytechnic, Singapore


About the Presenter(s)
Ms Tan Li Fern two Master Degrees - MSc in Maths (NUS) and MEd (University of Sheffield). She has a passion for statistics and is SAS Certified Citizen Data Scientist who demonstrates proficiency in using analytic tools.

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00