Abstract
The learning management system (LMS) has played a crucial role in digital learning environments and has been impacted by both users’ perceptions of its utility and evolving technologies. Knowing the functionalities that faculty utilize in the LMS can inform the decision-making process when selecting and transitioning to a newer platform or LMS. This study, which was grounded in Diffusion of Innovations theory and examined Malikowski et al. (J Educ Comput Res 36(2):149–173, 2007) model for research into learning management systems, has proposed a 3-construct 14-item instrument based on a review of literature and applied research. After a face validity test, the Faculty LMS Functionality Instrument (FLFI) was initially validated with 243 response sets. Principal component analysis (PCA) and confirmatory factor analysis (CFA) were performed for testing the initial validation of the instrument, based on the Cronbach alpha of .88 and Kaiser-Meyer-Olkin (KMO) measure of .87 (Kaiser HF, Educ Psychol Meas 20(1):141–151, 1960). The results initially validated the three-construct instrument. We also provide an instrument reuse and data sharing form to further validate this instrument.
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Appendices
Appendices
1.1 Appendix 13.1: Total Variance Explained
Total variance explained | ||||||||
---|---|---|---|---|---|---|---|---|
Component | Initial Eigenvalues | Extraction Sums of squared loadings | Rotation sums of squared loadings | |||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | % of Variance | |
1 | 5.765 | 41.175 | 41.175 | 5.765 | 41.175 | 41.175 | 3.048 | 21.771 |
2 | 1.313 | 9.382 | 50.557 | 1.313 | 9.382 | 50.557 | 2.690 | 19.214 |
3 | 1.078 | 7.700 | 58.257 | 1.078 | 7.700 | 58.257 | 2.418 | 17.272 |
4 | .893 | 6.378 | 64.635 | |||||
5 | .846 | 6.043 | 70.679 | |||||
6 | .734 | 5.245 | 75.923 | |||||
7 | .634 | 4.529 | 80.452 | |||||
8 | .614 | 4.385 | 84.837 | |||||
9 | .549 | 3.919 | 88.756 | |||||
10 | .442 | 3.156 | 91.912 | |||||
11 | .400 | 2.859 | 94.771 | |||||
12 | .322 | 2.302 | 97.073 | |||||
13 | .258 | 1.840 | 98.913 | |||||
14 | .152 | 1.087 | 100.000 |
1.2 Appendix 13.2: Rotated Component Matrix of PCA
Component | |||
---|---|---|---|
1 | 2 | 3 | |
Sys-Navigation | .789 | .202 | .225 |
Sys-MeetNeeds | .764 | .238 | .249 |
Sys-browser | .739 | .079 | .107 |
Sys-Custom | .668 | .086 | .052 |
Mngmnt-GradCalc | .379 | .243 | .353 |
Comm-StuInteraction | .175 | .816 | .163 |
Comm-StuConnected | .137 | .738 | .279 |
Sys-Discussion | .113 | .714 | -.017 |
Comm-InstructorConnect | .493 | .511 | .387 |
Comm-InstructorInteraction | .441 | .502 | .464 |
Mngmnt-Quiz | .187 | −.079 | .782 |
Mngmnt-Assignmnt | .264 | .348 | .615 |
Mngmnt-PeerRev | .016 | .130 | .606 |
Comm-Feedback | .318 | .375 | .584 |
Extraction Method: Principal Component Analysis | |||
Rotation Method: Varimax with Kaiser Normalizationa |
1.3 Appendix 13.3: Confirmatory Factor Analysis
1.4 Appendix 13.4
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Liu, J.C., Brantmeier, N., Wilcox, D., Griffin, O., Calcagno-Roach, J., Brannon, R. (2019). Faculty Perceived Functionality of Learning Management System: Development and Validation of a Scale. In: Ma, W., Chan, W., Cheng, C. (eds) Shaping the Future of Education, Communication and Technology. Educational Communications and Technology Yearbook. Springer, Singapore. https://doi.org/10.1007/978-981-13-6681-9_13
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