Making Chemistry Click: Unleashing Personalized Voices and Computational Thinking in Stoichiometry Learning

Innovative teaching strategies are crucial in improving matriculation students' understanding of complex chemistry topics such as stoichiometry. Despite its fundamental role, students often struggle with stoichiometry due to cognitive overload and a lack of engaging learning resources. This study explores the integration of the Multimedia Personalized-Voice Principle (MPVP) and Computational Thinking (CT) within a mobile learning application to address these challenges. Using qualitative methods, in-depth interviews were conducted to identify learning difficulties and analyze the impact of MPVP and CT on students' learning experiences. Findings indicate that the integration of MPVP and CT enhances conceptual understanding, reduces cognitive load, and increases students’ confidence in solving stoichiometry problems. The study underscores the potential of technology-driven approaches in making chemistry learning more effective and accessible.