The Predictive Influence of Concept Maps, Prior Knowledge, and Motivational Variables on Chemistry Learning Outcomes

ABSTRACT Extensive research has demonstrated the effectiveness of concept maps in fostering students' conceptual understanding. However, less is known about how cognitive and motivational variables interact to influence chemistry learning outcomes in ecologically valid settings. This study examined the role of effort, prior knowledge, interest, and perceived competence in predicting learning retention and knowledge transfer among undergraduate chemistry students ( N = 647). Hierarchical regression and mediation analyses revealed that effort was a strong predictor of both retention and transfer, emphasizing the importance of active engagement in chemistry learning. Additionally, effort and concept map quality mediated the relationship between prior knowledge and learning outcomes, highlighting the interplay between cognitive resources and motivational engagement. Interestingly, interest was negatively associated with learning retention, suggesting that cognitive load in chemistry learning may impact student motivation. These findings underscore the importance of instructional strategies that combine motivational scaffolding with concept mapping to enhance student learning. Implications for chemistry education, instructional design, and future research directions are discussed.

Authors

Institutions

Publication Details

Journal
School Science and Mathematics
Published
2026-02-12
DOI
https://doi.org/10.1111/ssm.70012
Primary Topic
Science Education 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 Predictive Influence of Concept Maps, Prior Knowledge, and Motivational Variables on Chemistry Learning Outcomes

Deborah Fabiyi, Oluwafemi J. Sunday, Oluwasola S. Oni
School Science and Mathematics
Science Education and Pedagogy
article

The Predictive Influence of Concept Maps, Prior Knowledge, and Motivational Variables on Chemistry Learning Outcomes

Deborah Fabiyi, Oluwafemi J. Sunday, Oluwasola S. Oni
article en

Abstract

ABSTRACT Extensive research has demonstrated the effectiveness of concept maps in fostering students' conceptual understanding. However, less is known about how cognitive and motivational variables interact to influence chemistry learning outcomes in ecologically valid settings. This study examined the role of effort, prior knowledge, interest, and perceived competence in predicting learning retention and knowledge transfer among undergraduate chemistry students ( N = 647). Hierarchical regression and mediation analyses revealed that effort was a strong predictor of both retention and transfer, emphasizing the importance of active engagement in chemistry learning. Additionally, effort and concept map quality mediated the relationship between prior knowledge and learning outcomes, highlighting the interplay between cognitive resources and motivational engagement. Interestingly, interest was negatively associated with learning retention, suggesting that cognitive load in chemistry learning may impact student motivation. These findings underscore the importance of instructional strategies that combine motivational scaffolding with concept mapping to enhance student learning. Implications for chemistry education, instructional design, and future research directions are discussed.

School Science and Mathematics
Portland State University (US), Washington State University (US)
Quality Education
Openalex Percentile: Top 59%
Science Education 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.