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Understanding Higher Education Teachers’ Perceptions and Attitudes Towards MOOCs for Professional Development: A Scale Validation and Predictive Study Cover

Understanding Higher Education Teachers’ Perceptions and Attitudes Towards MOOCs for Professional Development: A Scale Validation and Predictive Study

By: ,   and    
Open Access
|Nov 2025

Figures & Tables

Table 1

Domains of the Teachers’ Perceptions Scale.

DOMAINDESCRIPTION
Relevance and Content QualityPerceived relevance and quality of MOOC content for professional growth.
Flexibility and AccessibilityAbility of MOOCs to fit into teachers’ schedules and contexts.
Interaction and EngagementOpportunities for peer interaction and active learning in MOOCs.
Practical ApplicationRelevance of MOOC content to teaching practices.
Time and CommitmentBalancing teaching workload and MOOC participation.
Assessment and FeedbackQuality of evaluation and feedback mechanisms within MOOCs.
Cost and Resource ConsiderationsPerceived affordability and sufficiency of MOOC resources.
Technical Support and Platform ExperienceUsability and reliability of MOOC platforms.
Integration into Teaching PracticeExtent to which MOOCs inform and enrich teaching practices.
Table 2

Domains of the Teachers’ Attitudes Scale.

DOMAINDESCRIPTION
Perceived BenefitsAnticipated professional benefits of engaging in MOOCs.
Barriers and ConcernsChallenges or reservations about MOOCs.
Perceived Support and ResourcesAvailability of institutional and technical support for MOOC use.
Future EngagementWillingness to continue or recommend MOOCs in the future.
Table 3

Demographic Characteristics of Participants (N = 76).

CHARACTERISTICFREQUENCYPERCENTAGE
Gender
Female4964.5
Male2735.5
Academic Designation
Assistant Professor6180.3
Associate Professor1215.8
Professor33.9
Teaching Experience
0–5 Years2026.3
5–10 Years1925.0
10–15 Years1317.1
15–20 Years1114.5
20–25 Years1013.2
Greater Than 25 Years33.9
Institutional Affiliation
College7193.4
University56.6
Annual MOOC Enrolment
0–5 MOOCs6484.2
5–10 MOOCs1013.2
More than 15 MOOCs22.6
Total MOOCs Completed
0–10 MOOCs6585.5
10–20 MOOCs33.9
20–30 MOOCs33.9
More Than 30 MOOCs56.6
Table 4

Exploratory Factor Analysis Results for Teachers’ Perceptions Scale.

FACTOREIGENVALUE% VARIANCECUMULATIVE %ITEMS LOADING
126.75959.46559.4659
21.9924.42663.8918
31.8144.03167.9217
41.5803.51171.4326
51.3442.98774.4198
61.0582.35276.7717
Total76.77145

[i] Note. Extraction method: Principal Component Analysis with Varimax rotation. KMO = .861, Bartlett’s χ² = 4114.578, df = 990, p < .001.

Figure 1

Scree Plot for Teachers’ Perceptions Scale Factor Analysis.

Table 5

Exploratory Factor Analysis Results for Teachers’ Attitudes Scale.

FACTOREIGENVALUE% VARIANCECUMULATIVE %ITEMS LOADING
110.22851.13951.1398
22.61913.09764.2367
31.3656.82371.0585
Total71.05820

[i] Note. Extraction method: Principal Component Analysis with Varimax rotation. KMO = .899, Bartlett’s χ² = 1267.672, df = 190, p < .001.

Figure 2

Scree Plot for Teachers’ Attitudes Scale Factor Analysis.

Table 6

Internal Consistency Reliability for Teachers’ Perceptions Scale.

DOMAINITEMSCRONBACH’S α
Relevance and Content Quality5.892
Flexibility and Accessibility5.914
Interaction and Engagement5.904
Practical Application5.918
Time and Commitment5.908
Assessment and Feedback5.921
Cost and Resource Considerations5.854
Technical Support and Platform Experience5.908
Integration into Teaching Practice5.939
Overall Perceptions Scale45.984
Table 7

Internal Consistency Reliability for Teachers’ Attitudes Scale.

DOMAINITEMSCRONBACH’S α
Perceived Benefits of MOOCs5.931
Barriers and Concerns5.849
Perceived Support and Resources5.876
Future Engagement with MOOCs5.923
Overall Attitudes Scale20.942
Table 8

Descriptive Statistics for Teachers’ Perceptions Scale Domains (N = 76).

DOMAINMEANSDMINMAX
Flexibility and Accessibility4.000.831.005.00
Relevance and Content Quality3.910.841.005.00
Interaction and Engagement3.910.831.005.00
Practical Application3.890.791.205.00
Technical Support and Platform Experience3.840.821.205.00
Assessment and Feedback3.820.851.405.00
Time and Commitment3.780.891.205.00
Cost and Resource Considerations3.730.781.205.00
Integration into Teaching Practice3.720.871.005.00

[i] Note. Responses measured on a 5-point Likert scale: 1 = Strongly Disagree, 5 = Strongly Agree.

Table 9

Descriptive Statistics for Teachers’ Attitudes Scale Domains (N = 76).

DOMAINMEANSDMINMAX
Future Engagement with MOOCs3.910.851.005.00
Perceived Benefits of MOOCs3.840.861.005.00
Perceived Support and Resources3.750.801.205.00
Barriers and Concerns3.320.911.205.00

[i] Note. Responses measured on a 5-point Likert scale: 1 = Strongly Disagree, 5 = Strongly Agree.

Table 10

Correlations Between Teachers’ Attitudes and Perceptions of MOOCs (N = 76).

PERCEPTION DOMAINPERCEIVED BENEFITSBARRIERS & CONCERNSSUPPORT & RESOURCESFUTURE ENGAGEMENT
Relevance and Content Quality0.88**0.39**0.74**0.78**
Flexibility and Accessibility0.76**0.33**0.59**0.73**
Interaction and Engagement0.75**0.45**0.62**0.69**
Practical Application0.81**0.45**0.65**0.69**
Time and Commitment0.84**0.45**0.74**0.76**
Assessment and Feedback0.83**0.35**0.62**0.71**
Cost and Resource Considerations0.78**0.56**0.72**0.78**
Technical Support and Platform Experience0.82**0.39**0.76**0.80**
Integration into Teaching Practice0.88**0.41**0.70**0.76**

[i] Note. ** p < 0.001. All correlations are statistically significant.

Table 11

Gender Differences in Perceptions and Attitudes Towards MOOCs.

DOMAINFEMALE (n = 49)MALE (n = 27)tpd
M (SD)M (SD)
Perceptions
Relevance and Content Quality4.02 (0.84)3.70 (0.80)1.57.1200.377
Interaction and Engagement4.04 (0.81)3.69 (0.84)1.76.0820.423
Integration into Teaching Practice3.82 (0.85)3.55 (0.90)1.30.1990.311
Attitudes
Perceived Benefits of MOOCs4.00 (0.80)3.56 (0.91)2.17.033*0.520
Future Engagement with MOOCs4.00 (0.78)3.75 (0.96)1.26.2120.302

[i] Note. Only domains with d ≥ 0.30 shown. *p < .05. Effect size interpretation: small (0.20–0.49), medium (0.50–0.79), large (≥0.80).

Table 12

ANOVA Results for Demographic Differences in Perceptions (N = 76).

PERCEPTION DOMAINDESIGNATIONEXPERIENCEANNUAL MOOCs ENROLMENTTOTAL MOOCs COMPLETED
Integration into Teaching PracticeF(2,73) = 1.504, p = .221F(5,70) = 1.504, p = .221F(2,73) = 1.504, p = .221F(3,72) = 1.504, p = .221
Assessment and FeedbackF(2,73) = 1.210, p = .312F(5,70) = 1.210, p = .312F(2,73) = 1.210, p = .312F(3,72) = 1.210, p = .312
Cost and Resource ConsiderationsF(2,73) = 1.158, p = .332F(5,70) = 1.158, p = .332F(2,73) = 1.158, p = .332F(3,72) = 1.158, p = .332
Technical Support and Platform ExperienceF(2,73) = 1.157, p = .332F(5,70) = 1.157, p = .332F(2,73) = 1.157, p = .332F(3,72) = 1.157, p = .332
Practical ApplicationF(2,73) = 1.025, p = .387F(5,70) = 1.025, p = .387F(2,73) = 1.025, p = .387F(3,72) = 1.025, p = .387
Relevance and Content QualityF(2,73) = 0.869, p = .461F(5,70) = 0.869, p = .461F(2,73) = 0.869, p = .461F(3,72) = 0.869, p = .461
Time and CommitmentF(2,73) = 0.690, p = .561F(5,70) = 0.690, p = .561F(2,73) = 0.690, p = .561F(3,72) = 0.690, p = .561
Interaction and EngagementF(2,73) = 0.649, p = .586F(5,70) = 0.649, p = .586F(2,73) = 0.649, p = .586F(3,72) = 0.649, p = .586
Flexibility and AccessibilityF(2,73) = 0.260, p = .854F(5,70) = 0.260, p = .854F(2,73) = 0.260, p = .854F(3,72) = 0.260, p = .854

[i] Note. All domains showed p > .05, indicating no significant differences across demographic variables.

Table 13

ANOVA Results for Demographic Differences in Attitudes (N = 76).

ATTITUDE DOMAINDESIGNATIONEXPERIENCEANNUAL MOOCs ENROLMENTTOTAL MOOCs COMPLETED
Perceived Benefits of MOOCsF(2,73) = 0.406, p = .668F(5,70) = 1.259, p = .292F(2,73) = 0.406, p = .668F(3,72) = 0.406, p = .668
Barriers and ConcernsF(2,73) = 0.642, p = .529F(5,70) = 1.125, p = .355F(2,73) = 0.642, p = .529F(3,72) = 0.642, p = .529
Perceived Support and ResourcesF(2,73) = 0.072, p = .931F(5,70) = 1.596, p = .173F(2,73) = 0.072, p = .931F(3,72) = 0.072, p = .931
Future Engagement with MOOCsF(2,73) = 0.048, p = .954F(5,70) = 0.724, p = .608F(2,73) = 0.048, p = .954F(3,72) = 0.048, p = .954

[i] Note. All domains showed p > .05, indicating no significant differences across demographic variables.

Table 14

Regression Analysis: Predicting Perceived Benefits of MOOCs.

PREDICTORBSE BβtpVIF
Relevance and Content Quality0.4700.1230.4563.831<.0016.600
Cost and Resource Considerations0.1940.0910.1762.146.0363.137
Integration into Teaching Practice0.3510.1230.3532.842.0067.193

[i] Note. Only significant predictors shown. Model: R² = 0.858, Adjusted R² = 0.839, F (9, 66) = 44.335, p < .001.

Table 15

Regression Analysis: Predicting Barriers and Concerns.

PREDICTORBSE BβtpVIF
Assessment and Feedback–0.5850.247–0.548–2.372.0215.915
Cost and Resource Considerations0.8350.1960.7184.264<.0013.137

[i] Note. Only significant predictors shown. Model: R² = 0.404, Adjusted R² = 0.323, F (9, 66) = 4.969, p < .001.

Table 16

Regression Analysis: Predicting Perceived Support and Resources.

PREDICTORBSE BβtpVIF
Cost and Resource Considerations0.4000.1250.3903.201.0023.137

[i] Note. Only significant predictors shown. Model: R² = 0.687, Adjusted R² = 0.644, F (9, 66) = 16.095, p < .001.

Table 17

Regression Analysis: Predicting Future Engagement with MOOCs.

PREDICTORBSE BβtpVIF
Flexibility and Accessibility0.2410.1060.2352.273.0263.023
Cost and Resource Considerations0.4420.1150.4053.842<.0013.137

[i] Note. Only significant predictors shown. Model: R² = 0.766, Adjusted R² = 0.734, F (9, 66) = 24.046, p < .001.

Language: English
Page range: 710 - 729
Submitted on: Jun 17, 2025
Accepted on: Sep 18, 2025
Published on: Nov 25, 2025
Published by: International Council for Open and Distance Education (ICDE)
In partnership with: Paradigm Publishing Services

© 2025 Adit Gupta, Arpana Koul, Ankur Gupta, published by International Council for Open and Distance Education (ICDE)
This work is licensed under the Creative Commons Attribution 4.0 License.