Keeping Students Motivated in Online Learning: An Exploration of Value, Expectancy, and Social Support

The shift to online learning has challenged educators to understand what sustains students’ motivation in virtual environments. This quantitative study investigates the roles of value, expectancy, and social support in shaping undergraduate learners’ motivation in online learning settings. Grounded in the Expectancy-Value Theory and drawing on Fowler’s framework of learning motivation, the study involved 106 undergraduate students who responded to a structured online survey. The instrument assessed three key components: value (including intrinsic and extrinsic goal orientation and task value), expectancy (self-efficacy and control of learning beliefs), and social support (social engagement and instructor support). Descriptive and correlational analyses revealed that students were highly motivated by extrinsic goals and task relevance, demonstrated moderate self-efficacy, and valued instructor feedback and support. Significant positive correlations were found between all three motivational components, with the strongest association observed between value and social support. These findings highlight the importance of fostering meaningful course content, encouraging student self-belief, and enhancing instructor-student interaction to sustain motivation in online learning environments. Implications for instructional design and student support strategies are discussed.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.907000103
Primary Topic
Online and Blended Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Keeping Students Motivated in Online Learning: An Exploration of Value, Expectancy, and Social Support

Nadzrah Sa’adan, Norhisyam Jenal, Nursyuhada Zakaria, Siti Aishah Taib et al.
International Journal of Research and Innovation in Social Science
Online and Blended Learning
article

Keeping Students Motivated in Online Learning: An Exploration of Value, Expectancy, and Social Support

Nadzrah Sa’adan, Norhisyam Jenal, Nursyuhada Zakaria, Siti Aishah Taib, Sharifah Amani Syed Abdul Rahman, Aini Ahmad
article en

Abstract

The shift to online learning has challenged educators to understand what sustains students’ motivation in virtual environments. This quantitative study investigates the roles of value, expectancy, and social support in shaping undergraduate learners’ motivation in online learning settings. Grounded in the Expectancy-Value Theory and drawing on Fowler’s framework of learning motivation, the study involved 106 undergraduate students who responded to a structured online survey. The instrument assessed three key components: value (including intrinsic and extrinsic goal orientation and task value), expectancy (self-efficacy and control of learning beliefs), and social support (social engagement and instructor support). Descriptive and correlational analyses revealed that students were highly motivated by extrinsic goals and task relevance, demonstrated moderate self-efficacy, and valued instructor feedback and support. Significant positive correlations were found between all three motivational components, with the strongest association observed between value and social support. These findings highlight the importance of fostering meaningful course content, encouraging student self-belief, and enhancing instructor-student interaction to sustain motivation in online learning environments. Implications for instructional design and student support strategies are discussed.

International Journal of Research and Innovation in Social ScienceVol. IX(VII)
Openalex Percentile: Top 79%
Online and Blended Learning
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.