Personalized Digital Learning Environment with Differentiated Instruction to Foster Computational Thinking in Robotics Education

Wawan Kurniawan, Khairul Anwar, Jufrida Jufrida, Kamid Kamid, cicyn riantoni
Journal of Information Technology Education: Innovations in Practice  •  Volume 24  •  2025  •  pp. 004

This study aims to implement and evaluate a personalized digital learning environment (PDLE) that delivers differentiated instruction for enhancing computational thinking competencies through robotics education.

The background emphasizes the growing demand for computational thinking skills in the modern workforce and the need for flexible learning approaches that accommodate diverse student needs.

A mixed-methods research approach was employed, utilizing a pre-experimental design with One-Group Pretest-Posttest assessments to evaluate students’ computational thinking development, complemented by classroom observations and instructor feedback to provide deeper insights into the learning process within the PDLE system.

The key contribution of this study is the integration of PDLE with DI to provide personalized learning pathways that promote deeper engagement and skill development in computational thinking.

Findings suggest that the PDLE significantly enhances students’ computational thinking abilities, particularly in problem-solving and algorithmic thinking, while also improving abstraction, pattern recognition, and fostering greater student independence through self-regulated learning.

Recommendations for practitioners include adopting personalized and differentiated learning environments to accommodate diverse learners.

Recommendations for researchers suggest further exploration of adaptive learning technologies in robotics education.

The impact on society lies in equipping students with essential computational skills that are crucial for success in the digital economy.

Should explore the scalability of PDLE in other STEM disciplines and investigate long-term impacts on students’ cognitive and career development.

personalized digital learning environment, differentiated instruction, computational thinking, robotics education, mathematics education
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