The Influence of Deep Learning Approach and Learning Motivation on Science Learning Outcomes of Phase C Elementary School Students in Cluster 1, South Tondano District

Trinny Meifira Kalalo; Widdy H.F. Rorimpandey; Ni Dewi Eka Suwaryaningrat

Authors

Trinny Meifira Kalalo Master of Elementary Education Study Program, Universitas Negeri Manado, Indonesia
Widdy H.F. Rorimpandey Master of Elementary Education Study Program, Universitas Negeri Manado, Indonesia
Ni Dewi Eka Suwaryaningrat Master of Elementary Education Study Program, Universitas Negeri Manado, Indonesia

Keywords:

Deep Learning Approach, Learning Motivation, Learning Outcomes

Abstract

This study aims to determine the influence of the deep learning approach and learning motivation on science learning outcomes of Phase C elementary school students in Cluster 1, South Tondano District. This research employs a quantitative approach with a causal associative research type. The sample consisted of 112 students selected through purposive sampling and saturated sampling techniques. Data collection was conducted using a survey method with questionnaire instruments. Data analysis utilized simple linear regression and multiple linear regression with SPSS version 25 for Windows. The results showed that: (1) There is a positive and significant influence of the deep learning approach on science learning outcomes of Phase C elementary students by 40.2%, with tcalculated > ttable (8.595 > 1.981); (2) There is a positive and significant influence of learning motivation on science learning outcomes of Phase C elementary students by 53.5%, with tcalculated > ttable (11.244 > 1.981); and (3) There is a positive and significant influence of the deep learning approach and learning motivation together on science learning outcomes of Phase C elementary students by 62.9%, with Fcalculated > Ftable (92.306 > 3.080). In conclusion, the deep learning approach and learning motivation have a positive and significant influence on science learning outcomes of Phase C students in Cluster 1, South Tondano District.
Keywords:
Deep Learning Approach, Learning Motivation, Learning Outcomes

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