This study aimed to conduct a need analysis for integrating the Deep Learning approach (meaningful–mindful–joyful) into the Ecomapping and Sustainable Conservation (EMKONTAN) learning model (DL-EMKONTAN) in an Environmental Science course. Using a qualitative descriptive design, data were collected from 10 lecturers and 230 students through questionnaires, observations, document review, and semi-structured interviews. Descriptive statistics and Miles–Huberman analysis were applied. The result indicated that students’ competencies remain at a moderate level. Creative thinking skills were mostly at beginner levels; collaboration was moderate for productivity, respect, and compromise but weaker for responsibility; and environmental literacy was “enough” for ecological knowledge, sensitivity, and issue research yet lower for issuing analysis and pro-environmental behavior. Lecturers reported learning is still dominated by lectures and paper-based tasks, with limited assessment of creativity, collaboration, and environmental literacy. The proposed DL-EMKONTAN learning syntax consists of observing problems, analyzing, planning, implementing, monitoring/evaluating, and follow-up planning.
Copyrights © 2026