Abstract
Increasing learner diversity has become a defining feature of contemporary classrooms, demanding pedagogical approaches that go beyond uniform curriculum transfer. In this context, curriculum differentiation has emerged as a core teaching competency rather than an additional instructional strategy, enabling facilitators to respond effectively to variations in learner readiness, abilities, interests, learning styles, linguistic backgrounds, and socio-cultural contexts. In the Indian context, particularly within CBSE and State Board schools’ settings in India, this chapter critically examines curriculum differentiation as an essential professional competency. Drawing evidence explore the role of pre-service teacher preparation, subject-specific differentiation strategies in Mathematics, Language, and Science, and key instructional practices such as flexible grouping, tiered tasks, and learner choice. The chapter further highlights that assessment and documentation practices that support differentiated teacher education and classroom practice are essential for promoting equity, inclusion and improved learning outcomes.
The author(s) appreciates all those who participated in the study and helped to facilitate the research process.
The author declared no conflict of interest.
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2025, Panda, S.R., Bhue, K., & Budh Singh, B.
Responding Author Information
Panda, S.R., Bhue, K., & Budh Singh, B. @ *Corresponding Email: seemanrani123@gmail.com
Related Content
Reframing Curriculum Differentiation as an Essential Teacher Competency in Diverse Classrooms
Total Download: 1 | Total View: 66
PlumX Matrix
Plum Analytics uses research metrics to help answer the questions and tell the stories about research. Research metrics that immediately measure awareness and interest give us new ways to uncover and tell the stories of research.
Dimensions Matrix
Dimensions is a next-generation linked research information system that makes it easier to find and access the most relevant information, analyze the academic and broader outcomes of research, and gather insights to inform future strategy. (digital science)