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In contemporary educational settings, the role of positive reinforcement in shaping student learning outcomes has gained increasing attention. The present study investigates the relationship between students’ preferred types of positive reinforcement and their corresponding levels of learning motivation and classroom behaviour. A total sample of 408 Secondary School students participated in the study. Data were collected using three researcher-constructed tools: the Positive Reinforcement Preference Scale, Students’ Learning Motivation Scale, and Classroom Behaviour Rating Scale, all based on a 3-point Likert format. The study employed a correlational research design to examine the overall relationship between reinforcement preferences and student outcomes, as well as the differential impact of specific reinforcement types i.e. verbal, non-verbal, tangible, and varied. Pearson’s correlation analysis revealed moderate positive relationships between reinforcement preferences and learning motivation (r = 0.46, p < 0.01), and classroom behaviour (r = 0.44, p < 0.01). Additionally, analysis of individual reinforcement types indicated that verbal and varied reinforcement demonstrated stronger associations with learning motivation, while tangible reinforcement showed relatively higher correlation with classroom behaviour. The findings highlight that reinforcement is a significant predictor of both intrinsic and extrinsic student outcomes, though its effectiveness varies across types. The study underscores the importance of adopting differentiated reinforcement strategies tailored to students’ developmental needs. It further contributes to educational research by providing empirical evidence supporting the strategic use of reinforcement to enhance student motivation and classroom behaviour. The key takeaway of this research is that use of innovative reinforcement practices could well redefine engagement in future classrooms.
"Mapping Reinforcement Preferences to Student Outcomes: Rewards that Resonate ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b942-b947, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604264.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator