Volume: 3 Issue: Special Issue 1
Year: 2026, Page: 83-88, Doi: https://doi.org/10.70372/jeltp.v3.sp1.12
This practice adds a fast, suitable AI layer to micro-teaching such that teaching, assessment, and feedback happen in the same class cycle. After a short lesson, students complete a five-item Google Form: four concept questions (multiple choice or short answer) plus a 1–5 self-rating on attention and memory. AI is used only for two enabling tasks: generating candidate questions (with rubrics) aligned to the session outcomes, and providing a first-pass analysis of students’ short-answer responses. These tasks use ChatGPT and Perplexity under human oversight; instructors finalize items, scoring, and feedback. Responses are normalized to a compact schema—Q1–Q4 coded Yes/No with “A” for not-attempted/absent; Q5 as 1–5—so a lightweight student-built Streamlit web app can show same-day results without technical hurdles. The app displays daily trends, set-wise comparisons on days with two short tests, attendance-aware patterns, and an Individual view with moving averages, per-question mastery, and item-level detail. Instructors immediately see what to reteach, which examples to adjust, and which learners need targeted support. The approach is human-led, low-cost (CSV + web app), and easy to replicate across courses.
Keywords: AI-enabled assessment; microteaching analytics; real-time feedback; Streamlit dashboard; student performance tracking; teaching–learning enhancement
Bharath, B. M., Sharma, N. K., & Narasimhan, V. L. (2025). An evaluation of Synesthetic Learning Pedagogy for Engineering Education. Journal of Engineering Education Transformation, 38(IS2), 495–504. https://doi.org/10.16920/jeet/2025/v38is2/25061
Lyanda, J. N., & Owidi, S. O. (2025). Integrating Artificial Intelligence in Micro Teaching: The role of ChatGPT for customized feedback and interactive learning. Zenodo. https://doi.org/10.5281/zenodo.15130275
Kumari, D. A., Begum, D. S., Paunikar, M. S., Kaur, A. & Verma, D. S. (2025). The Role of Artificial Intelligence in Teacher Training: Enhancing Pedagogical Effectiveness. Journal of Marketing & Social Research, 2(5), 116-122 https://doi.org/10.61336/jmsr/25-05-13.
Cardona, M., Rodríguez, R. J., Ishmael, K., & U.S. Department of Education. (2023). Artificial intelligence and the future of teaching and learning. https://www2.ed.gov/documents/ai-report/ai-report.pdf
Cerruto, A., Moroney, R., Ngugi, N., Watts, K., Whelan, J., Portnoy, C., Lotito, S., Singh, S., Barbour, F., & Bucco, A. (2023). Microteaching Lesson Study: Its Impact on the Development of Self-Efficacy with Teachers-in-Training in a Community-Based Outreach Program. Creative Education, 14(06), 1153–1168. https://doi.org/10.4236/ce.2023.146073
Groher, Iris & Vierhauser, Michael & Hartl, Erik. (2024). A Learning Analytics Dashboard for Improved Learning Outcomes and Diversity in Programming Classes. 618-625. 10.5220/0012735000003693.
Lo, N., Chan, S., & Wong, A. (2025). Evaluating Teacher, AI, and Hybrid Feedback in English Language Learning: Impact on Student Motivation, Quality, and Performance in Hong Kong. Sage Open, 15(3). https://doi.org/10.1177/21582440251352907 (Original work published 2025)
Jeon, E. (2025). The impact of microteaching on preservice EFL teachers: Addressing foreign language teaching anxiety and professional development. Teaching and Teacher Education, 165, 105153. https://doi.org/10.1016/j.tate.2025.105153
Zhang, Y. (2024b). The impact of the AI-Teacher feedback on developing students’ critical thinking and critical writing. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4884437
Konakbayeva, U., Baltasheva, P., Kuanysheva, B., Dauletova, I., Kydyrbayeva, G., & Karataeva, T. (2025). Artificial intelligence in microteaching lesson study: Enhancing pre-service teachers’ confidence and instructional quality. Educational Process: International
Journal, 15, e2025127. https://doi.org/10.22521/edupij.2025.15.127
Zhumabayeva, Z., Zhaxylikova, K., Omirzakova, A., Aitenova, E., Zhailauova, M., & Nurgaliyeva, S. (2025). Enhancing teaching skills through digital feedback in microteaching: A study with prospective primary teachers. International Journal of Information and Education Technology, 15(9), 1820–1828. https://doi.org/10.18178/ijiet.2025.15.9.2383
Gorman, A., Tiernan, P., Donlon, E., & Boylan, P. (2025). Bridging the coursework-placement gap: Implementing an AI-enabled VR environment to support student teachers’ experiential learning. European Journal of Teacher Education, 48(5), 1013–1035. https://doi.org/10.1080/02619768.2025.2555482
Shekharappa, K. R., Tejaswi, C. N., Patil, S. S., & Lakshmikanth, B. M. (2021). Microteaching revisited! A tool for improving undergraduate student seminars. Indian Journal of Physiology and Pharmacology, 64, S70–S75. https://doi.org/10.25259/ijpp_283_2020
B M Bharath, Usha P, Danushaa Sri S V, Naresh Kumar Sharma. From Teaching to Insight in 50 Minutes: AI-Supported Microteaching Analytics. Journal of Effective Teaching and Learning Practices. 2026;3(Sp1):83-88