Research Article
Conceptual Development of Erlando’s Habitual Short Conversation Model (EHSC): Integration of AI and shadowing to support Elementary School Student’s Communicative Learning In Merdeka Curriculum
@INPROCEEDINGS{10.4108/eai.5-12-2025.2363830, author={Rizki Erlando and Harun Sitompul and Dina Ampera}, title={Conceptual Development of Erlando’s Habitual Short Conversation Model (EHSC): Integration of AI and shadowing to support Elementary School Student’s Communicative Learning In Merdeka Curriculum}, proceedings={Proceedings of the 10th Annual International Seminar on Transformative Education and Educational Leadership, AISTEEL 2025, 5 December 2025, Medan, North Sumatera Province, Indonesia}, publisher={EAI}, proceedings_a={AISTEEL}, year={2026}, month={7}, keywords={Habitual Speaking Practice AI-assisted Learning Curriculum Integration}, doi={10.4108/eai.5-12-2025.2363830} }- Rizki Erlando
Harun Sitompul
Dina Ampera
Year: 2026
Conceptual Development of Erlando’s Habitual Short Conversation Model (EHSC): Integration of AI and shadowing to support Elementary School Student’s Communicative Learning In Merdeka Curriculum
AISTEEL
EAI
DOI: 10.4108/eai.5-12-2025.2363830
Abstract
This study formulates the Erlando Habitual Short Conversation (EHSC) Model, a systematic framework designed to mitigate the Skills Gap (cognitive-induced fluency deficits) and the Curriculum Gap (constrained instructional time) in primary English education. Adopting the initial R&D phases of Borg & Gall, the model integrates three innovative synergies: Methodological (shadowing techniques to enhance cognitive processing), Automated (predictive AI for curriculum-synchronised content), and Accountability (a multi-party validation system engaging teachers and parents as practice supervisors). Theoretical validation by experts in Curriculum, Design, and Linguistics confirms superior feasibility, with an average score of 4.56 and an Aiken’s V of 0.90. Notably, the model achieved a perfect rating (5.00) for practical implementation and AI integration. These findings establish the EHSC framework as a robust, scalable foundation for subsequent empirical validation in resource-limited educational settings.
