Related Experiment Video
Updated: Sep 5, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
Evaluating students' experiences in self-regulated smart learning environment.
Yusufu Gambo1, Muhammad Zeeshan Shakir1
1School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley, PA12BE Scotland UK.
This study evaluated a mobile app for smart learning, finding it supported online learning but needed improved user functions. A subsequent version was better, with students suggesting a web-based option for broader accessibility and engagement.
Area of Science:
- Educational Technology
- Human-Computer Interaction
- Online Learning
Background:
- Smart and mobile technologies are transforming education into smart learning environments.
- Online learners require engaging and active learning experiences.
- A previously developed self-regulated smart learning mobile app needs evaluation.
Purpose of the Study:
- To explore final-year undergraduate students' experiences with a smart learning mobile app.
- To investigate usability, challenges, and factors influencing satisfaction for future implementation.
- To fill the gap in well-documented studies on student experiences in smart learning environments.
Main Methods:
- Cyclical mixed-method evaluations involving 85 final-year undergraduate students.
- Quantitative data collection via surveys on satisfaction factors.
- Qualitative data collection through focus group discussions on usability and challenges.
Main Results:
- The mobile app initially supported the online learning process.
- Students suggested improvements in user functionalities for motivation and engagement.
- A second evaluation showed continued support, with a recommendation for a web-based version and confirmation of information system quality impact on satisfaction.
Conclusions:
- Smart learning mobile applications can support online learning experiences.
- Usability, information system qualities, and moderating factors significantly influence student satisfaction.
- Future research should consider facilitators' experiences for sustainable smart learning development.
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
08:33A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
Published on: September 4, 2019
Related Concept Videos
Metacognition
Self-Evaluation: Self-Enhancement and Self-Verification
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...
The Sense of Self: Reflected Self-Appraisal and Social Comparison
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
Self-Presentation: Self-Monitoring and Self-Handicapping