International Transactions on Artificial Intelligence (ITALIC)
Vol. 2 No. 1 (2023): International Transactions on Artificial Intelligence

Stepping Forward: Enhancing Cognitive Learning Outcomes through Hybrid RCCR-Based Learning on Circulatory System Material

Cicilia Sriliasta (University of Esa Unggul)
Dewi Sri Surya Wuisan (University of Pelita Harapan)



Article Info

Publish Date
23 Nov 2023

Abstract

The time constraints at the end of the semester often lead to suboptimal delivery of circulatory system materials, which consequently affect students' learning outcomes. Hence, this research aims to delve into the impact of applying the RCCR (Reflect-Collaborate-Convey-Record) approach based on Hybrid Learning on enhancing cognitive learning outcomes. This study utilizes a quasi-experimental design, encompassing a control group with pretests and posttests, though they are not equivalent. Evaluation of cognitive learning outcomes involves multiple-choice questions in both the pretest and posttest phases. The data from these evaluations are quantitatively analyzed in-depth. After the learning process, the average posttest score for the control group reached 71.61, while the experimental group achieved a score of 81.25. Statistical analysis indicates a significant difference in posttest results between the experimental and control groups. The analysis of change scores (N-gain) also shows a significant difference between the experimental and control groups (p<0.05). These findings highlight a strong connection between cognitive learning outcomes and metacognitive skills mastery (r=0.83). Consequently, this learning model presents a valuable alternative for overcoming classroom time constraints and effectively enhancing cognitive learning outcomes.

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Journal Info

Abbrev

italic

Publisher

Subject

Computer Science & IT Control & Systems Engineering Library & Information Science

Description

International Transactions on Artificial Intelligence (ITALIC) is an international, open-access journal established to publish groundbreaking research in the field of Artificial Intelligence (AI). ITALIC focuses on both theoretical and experimental AI research and explores its applications across ...