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@article{176679,
        author = {Pranav A},
        title = {Microlearning Mobile App for Exam Preparation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7469-7473},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176679},
        abstract = {Mobile learning applications offer convenience for exam preparation, but optimizing effectiveness and long-term retention remains crucial. This study investigates the efficacy of a bite-sized learning approach (quiz-teach-retest) integrated into an LLM-powered mobile application. We conducted a randomized controlled experiment comparing three groups: a bite-sized learning group, an active control group (receiving equivalent information passively), and a baseline control group (prior knowledge test only). Participants were assessed immediately and after a one-week delay. Results demonstrate significantly higher immediate performance and superior one-week retention for the bite-sized learning group compared to both control groups. Participants in the bite-sized group consistently achieved scores more than 80 percentage post-intervention, a level rarely met by controls. This research provides robust evidence for the effectiveness of targeted, bite-sized interventions for enhancing both immediate knowledge acquisition and longer-term retention in mobile exam preparation.},
        keywords = {bite-size learning, microlearning, mobile learning, exam preparation, learning effectiveness, retention, educational technology, LLM, testing effect, randomized controlled trial},
        month = {April},
        }