The Impact of Science Instructional Practice Modes, Academic Performance, and Classroom Climate on STEM Career Aspirations

This study delves into the distribution of science instructional practices and their impact on adolescents’ scientific habits and scientific achievement in mainland China, specifically among participants in PISA 2015 (B-S-J-G). Through Latent Class Analysis (LCA), it was revealed that science instructional practices can be categorized into distinct modes. Notably, students who were exposed to a traditional science teaching mode characterized by strict discipline significantly outperformed their peers in both scientific habits and scientific achievement. Our analysis indicates that within this teaching mode, three traditional methods—teacher-directed instruction, perceived feedback, and adaptive instruction—are effectively combined with interactive inquiry teaching methods. Additionally, a positive classroom disciplinary climate emerges as a crucial feature. This study posits that it is beneficial for educators to discern different science instructional practice modes and comprehend their underlying logic. From a classroom practice perspective, we discuss the implications of these findings. These insights can aid teachers in crafting a science instructional practice mode tailored to their classes by integrating a variety of teaching methods, taking into account the specific conditions of their students and the characteristics of the teaching content. Furthermore, the study identifies a significant association between instructional modes—particularly the strict traditional teaching mode (Category 3)—and students’ aspirations toward STEM careers.

Authors

Institutions

Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1145/3744367.3744426
Primary Topic
Educational Research and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Science Instructional Practice Modes, Academic Performance, and Classroom Climate on STEM Career Aspirations

Xin Du, Yongyue Shi
Educational Research and Pedagogy
article

The Impact of Science Instructional Practice Modes, Academic Performance, and Classroom Climate on STEM Career Aspirations

Xin Du, Yongyue Shi
article en

Abstract

This study delves into the distribution of science instructional practices and their impact on adolescents’ scientific habits and scientific achievement in mainland China, specifically among participants in PISA 2015 (B-S-J-G). Through Latent Class Analysis (LCA), it was revealed that science instructional practices can be categorized into distinct modes. Notably, students who were exposed to a traditional science teaching mode characterized by strict discipline significantly outperformed their peers in both scientific habits and scientific achievement. Our analysis indicates that within this teaching mode, three traditional methods—teacher-directed instruction, perceived feedback, and adaptive instruction—are effectively combined with interactive inquiry teaching methods. Additionally, a positive classroom disciplinary climate emerges as a crucial feature. This study posits that it is beneficial for educators to discern different science instructional practice modes and comprehend their underlying logic. From a classroom practice perspective, we discuss the implications of these findings. These insights can aid teachers in crafting a science instructional practice mode tailored to their classes by integrating a variety of teaching methods, taking into account the specific conditions of their students and the characteristics of the teaching content. Furthermore, the study identifies a significant association between instructional modes—particularly the strict traditional teaching mode (Category 3)—and students’ aspirations toward STEM careers.

Beijing Institute of Education (CN), PLA Rocket Force University of Engineering (CN)
Climate action
Openalex Percentile: Top 79%
Educational Research and Pedagogy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.