The Interaction Effect of Multiple Intelligence Profiles and Multimodal Instructional Design on Long-Term Retention: A Quantitative Research Review
Neha Goyal *
Amity Institute of Behavioural and Allied Sciences, Amity University, Noida, Uttar Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
The interaction between learners’ multiple intelligence profiles and multimodal instructional design plays a significant role in shaping long-term knowledge retention, highlighting the need to examine how individualized instructional approaches influence durable learning outcomes. This comprehensive quantitative research paper examines the interaction effects between learners' multiple intelligence (MI) profiles and multimodal instructional design on long-term retention outcomes. A comprehensive literature search was conducted across multiple academic databases to identify empirical studies examining relationships among multiple intelligence profiles, multimodal instructional design, and learning retention. Drawing from 30 empirical studies spanning educational psychology, instructional technology, and cognitive science, this review synthesizes evidence on how Gardner's Multiple Intelligence Theory intersects with multimedia learning principles to influence knowledge retention over time. The main focus of the study is how do Multiple Intelligence (MI) profiles and multimodal instructional design interact to influence learning outcomes and long-term retention, and what evidence supports the validity of the assessment methods and intervention designs used in such studies? The analysis reveals that while MI-based instructional adaptations show promise for immediate learning gains, empirical evidence for sustained interaction effects on long-term retention remains limited and methodologically heterogeneous. Key findings indicate that matched MI-Instructional Design conditions produce moderate positive effects on immediate achievement (effect sizes ranging from d = 0.32 to d = 0.68), but few studies employ delayed retention measures beyond four weeks. The paper identifies critical gaps in Aptitude-Treatment Interaction (ATI) research, measurement validity concerns with MI assessment instruments, and the need for rigorous experimental designs that isolate interaction effects while controlling for cognitive load and prior knowledge. Implications for educational practice and future research directions are discussed, emphasizing the necessity of longitudinal designs, standardized retention protocols, and theoretically grounded multimodal design frameworks.
Keywords: Multiple intelligence, multimodal learning, instructional design, long term retention, Aptitude-treatment interaction framework, cognitive load theory