EMANUELLA MAU (MULTIMEDIA NUSANTARA UNIVERSITY)

CRAFTING ESP FRAMEWORK: INTEGRATING CLIL, ECD, TBLT, AI, AND AUTHENTIC MATERIALS FOR ENHANCED LEARNING : MATERIALS DESIGN

This research focuses on crafting an optimal framework for designing learning materials that integrate Content and Language Integrated Learning (CLIL), Evidence-Centered Design (ECD), and Task-Based Language Teaching (TBLT) methodologies, tailored for specific learning contexts. Units within this framework are constructed using both authentic materials and applications generated by Artificial Intelligence (AI), fostering student engagement and autonomy through real-world tasks that prompt cognitive reasoning and classification (Nunan, 2004; Willis and Willis, 2007). The study employs Task-Reference Teaching and Task-Based teaching as outlined by Bygate (2016) and Tavakoli and Jones (2018), with a focus on preparing and evaluating students after each unit. Participant feedback, collected through questionnaires, measures satisfaction and success levels with these real-world tasks. The initial data analysis reveals that 58% of participants found the learning materials aligned with their expectations, 48.1% expressed satisfaction with material quality, and 74.1% reported ease of access. Findings from this study highlight the substantial impact of student perceptions and achievements in learning through these materials, informing effective Task-Based Language Teaching methodologies.

Emanuella Christine Natalia Mau, M.Hum, CIQaR. She is an English Lecturer at Multimedia Nusantara University, Jakarta, Indonesia. Her work mostly lies on designing ESP curriculum and learning materials. Her interests and relevant coursework : education, creative writing, media.