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Related Experiment Video

Updated: Sep 3, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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A Rasch Analysis of Students' Academic Motivation toward Mathematics in an Adaptive Learning System.

Lyndon Lim1, Seo Hong Lim1, Wei Ying Rebekah Lim1

  • 1Teaching & Learning Centre, Singapore University of Social Sciences, Singapore 599494, Singapore.

Behavioral Sciences (Basel, Switzerland)
|July 25, 2022
PubMed
Summary

Researchers validated the Academic Motivation Toward Mathematics Survey (AMTMS) for adaptive learning environments. This tool measures student motivation in mathematics, crucial for personalized education and improved learning outcomes.

Keywords:
Raschacademic motivationmathematics educationvalidation

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Area of Science:

  • Educational Technology
  • Psychology of Education
  • Learning Sciences

Background:

  • Adaptive learning technologies focus on personalized instruction, often overlooking student motivation.
  • A validated instrument is needed to measure academic motivation within adaptive learning contexts.
  • Self-determination theory provides a framework for understanding motivation in education.

Purpose of the Study:

  • To validate the Academic Motivation Toward Mathematics Survey (AMTMS) for pre-tertiary Asian students (grades 11-12).
  • To assess the suitability of the AMTMS for measuring motivation in adaptive mathematics learning environments.

Main Methods:

  • Validation of the AMTMS using modern test theory principles.
  • 196 participants interacted with a mathematics adaptive learning system.
  • Analysis included factorial structure assessment and bifactor equivalent solutions.

Main Results:

  • The factorial structure of the AMTMS was supported.
  • 12 out of 21 items required rescoring to establish ordered thresholds.
  • A bifactor solution indicated a potential for a single motivation index.

Conclusions:

  • The AMTMS is a robust, validated instrument for measuring mathematics motivation in adaptive learning.
  • This validated survey can be utilized by researchers in educational technology and psychology.
  • Findings contribute to understanding student motivation within personalized learning systems.