EFFECTS OF PSYCHOLOGICAL CAPITAL AND COGNITION ON STEM LEARNING IN IOT SMART ENERGY-SAVING PROJECTS

Project-based learning (PBL) plays a critical role in fostering interdisciplinary integration within science, technology, engineering, and mathematics (STEM) education. However, its complexity often hinders students’ ability to apply knowledge and solve problems, particularly in environments that lack psychological and cognitive support. This study aims to address these challenges by constructing a STEM education model centered on PBL and examining the interactions among STEM psychological capital (SPC), problem-solving skills (PS), STEM cognition (SC), and STEM project-based learning performance (SP). In total, 230 seventh-grade students participated in a STEM project-based activity themed "Internet of Things (IoT) Smart Energy-Saving House." Data were collected through questionnaires and performance assessments. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the interactions. By validating the interplay among psychological capital, cognition, and problem-solving abilities in STEM-PBL contexts, this study identifies the critical role of SPC, PS, and SC in enhancing students' SP outcomes and underscores the necessity of integrating psychological support and cognitive development into STEM curricula. Furthermore, the findings provide a novel framework for bridging the gap between theoretical knowledge and practical application, offering valuable insights for future research and educational design. Keywords: project-based learning, STEM cognition, problem-solving skills, psychological capital, STEM education, partial least square-structural equation modeling

Authors

Institutions

Publication Details

Journal
Journal of Baltic Science Education
Published
2025-04-25
DOI
https://doi.org/10.33225/jbse/25.24.340
Primary Topic
Grit, Self-Efficacy, and Motivation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EFFECTS OF PSYCHOLOGICAL CAPITAL AND COGNITION ON STEM LEARNING IN IOT SMART ENERGY-SAVING PROJECTS

Kuen‐Yi Lin, Yu-Jen Sie
Journal of Baltic Science Education
Grit, Self-Efficacy, and Motivation
article

EFFECTS OF PSYCHOLOGICAL CAPITAL AND COGNITION ON STEM LEARNING IN IOT SMART ENERGY-SAVING PROJECTS

Kuen‐Yi Lin, Yu-Jen Sie
article en

Abstract

Project-based learning (PBL) plays a critical role in fostering interdisciplinary integration within science, technology, engineering, and mathematics (STEM) education. However, its complexity often hinders students’ ability to apply knowledge and solve problems, particularly in environments that lack psychological and cognitive support. This study aims to address these challenges by constructing a STEM education model centered on PBL and examining the interactions among STEM psychological capital (SPC), problem-solving skills (PS), STEM cognition (SC), and STEM project-based learning performance (SP). In total, 230 seventh-grade students participated in a STEM project-based activity themed "Internet of Things (IoT) Smart Energy-Saving House." Data were collected through questionnaires and performance assessments. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the interactions. By validating the interplay among psychological capital, cognition, and problem-solving abilities in STEM-PBL contexts, this study identifies the critical role of SPC, PS, and SC in enhancing students' SP outcomes and underscores the necessity of integrating psychological support and cognitive development into STEM curricula. Furthermore, the findings provide a novel framework for bridging the gap between theoretical knowledge and practical application, offering valuable insights for future research and educational design. Keywords: project-based learning, STEM cognition, problem-solving skills, psychological capital, STEM education, partial least square-structural equation modeling

Journal of Baltic Science EducationVol. 24(2)
National Taiwan Normal University (TW)
National Taiwan Normal University, Institute for Research Excellence in Learning Sciences, National Taiwan Normal University, National Science and Technology Council
Openalex Percentile: Top 90%
Grit, Self-Efficacy, and Motivation
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.