Related Experiment Video
Updated: Dec 8, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
Applying an Agent-based Model to Simulate Just-In-Time Support for Keeping Users of eLearning Courses Motivated
Mark R Scholten1, Saskia M Kelders2, Julia van Gemert-Pijnen1
1University of Twente, the Netherlands.
Agent-based models (ABMs) simulate user motivation in eLearning. This research shows ABMs can identify low motivation moments and the benefit of timely support, enhancing persuasive technology for online learners.
Area of Science:
- Computational Psychology
- Educational Technology
- Agent-Based Modeling
Background:
- Persuasive technology can enhance self-paced eLearning by addressing user motivation.
- Agent-based models (ABMs) are underutilized in persuasive technology and eLearning research.
- Understanding user motivation dynamics is crucial for effective eLearning support.
Purpose of the Study:
- To explore the application of ABMs for simulating user motivation in eLearning.
- To investigate the potential of ABMs to identify critical moments of low motivation.
- To assess the impact of external support during these low-motivation periods.
Main Methods:
- Designed an exploratory agent-based model (ABM) focused on the concept of mental energy.
- Simulated user motivation dynamics within the ABM framework.
- Analyzed simulated user patterns to trace the ebb and flow of motivation.
Main Results:
- Successfully generated critical moments of low user motivation within the simulations.
- Demonstrated the positive effect of external user support during simulated low-motivation periods.
- Identified emerging user patterns related to motivational fluctuations.
Conclusions:
- Agent-based models offer a viable methodology for understanding and simulating user motivation in eLearning.
- ABMs can inform the development of persuasive technology for delivering just-in-time support.
- Further research into ABM development is warranted to enhance eLearning effectiveness.
More Related Videos
10:43Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
Published on: June 10, 2021
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Related Concept Videos
Self-Evaluation Maintenance Model
Motivational Cycle
The cycle begins with a need. This need can arise from various conditions, such as hunger, thirst, or temperature changes. For instance, when an individual feels cold, their body...
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Purposive Learning
Cognitive Learning
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Incentive Theory: Pull Theory of Motivation
The theory differentiates between...