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AI in Biology Learning: Analysis of Students' Personal Needs for Differentiated Learning in the Social Society 5.0 Era
Last modified: 2025-02-16
Abstract
AI in education is increasingly being used in the social society 5.0 era. In the teacher community, there are those who agree and disagree with the use of AI in learning, but it cannot be denied that the presence of AI is a profitable innovation for teachers. Teachers need to collaborate with AI technology without changing the essence of a teacher's presence in understanding students' personal needs. Identification of students' personal needs is needed in differentiated learning, including biology learning. Differentiated biology learning provides more student contributions by maximizing students' abilities to develop optimally and meaningful learning is achieved. This research aims to conduct a literature analysis study to describe the use of AI in identifying student needs to support differentiated learning in biology learning.This research uses a qualitative literature review research method by analyzing 12 research journals related to the use of AI in identifying student needs in differentiated biology learning. From the results of the analysis, AI provides many benefits in identifying students' needs in biologically differentiated learning, including in preparing flexible learning plans, analyzing academic data, personalized learning materials, analyzing learning styles and preferences, early identification and intervention, providing personalized feedback. , collaboration and social learning, integrating external resources, student feedback and reflection, personalized learning experiences, so it is very helpful in identifying student needs.
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