Learner choice in a smart learning environment: insights into rationales and alignment with adaptive assignments

Research is underway exploring how learner choice influences engagement and outcomes within Smart Learning Environments (SLEs) that integrate adaptive technologies. This study investigates the balance between system-controlled adaptivity and learner-controlled adaptability, particularly focusing on task difficulty selection in a web-based SLE for quantitative physics problem-solving among secondary students. Understanding learner rationales for choices in hybrid adaptive-adaptable systems is crucial for future SLE design.

This research contributes to understanding how technology can best support personalized learning experiences. Effective integration of learner choice within adaptive systems can enhance engagement and learning outcomes, which is critical for the development of future educational and training platforms. Strategic investment in research in this domain can lead to more effective and user-centric learning solutions.

Smart Learning Environments (SLEs) are increasingly incorporating adaptive technologies to personalize instruction.

Forward consideration, not a verified fact.