Abstract
The aim of this study was to unveil the factors that affect the use of Mobile Cloud Learning (MCL) platform Blackboard. Considering the nature of MCL, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and modified with two additional variables, i.e. mobility and self-management learning to understand the use behaviour of the users. A survey was conducted through a structured questionnaire to collect quantitative data for analysis. Structural equation modelling (SEM) was used to analyse the data and test the hypotheses of this study. In outcome, performance expectancy, effort expectancy and self-management learning are found as significant factors. Blackboard platform provider and users’ can be benefited through the outcome of this study by looking at the significant factors and understanding the use behaviour of the users.

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The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- MCL:
-
Mobile Cloud Learning
- UTAUT:
-
Unified Theory of Acceptance and Use of Technology
- SEM:
-
Structural Equation Modelling
- PE:
-
Performance Expectancy
- EE:
-
effort expectancy
- SI:
-
Social Influence
- FC:
-
Facilitating Condition
- SML:
-
Self-Management Learning
- Mob:
-
Mobility
- BI:
-
Behavioural Intention
- UB:
-
Use Behaviour
- EFA:
-
Exploratory Factor Analysis
- CFA:
-
Confirmatory Factor Analysis
- CV:
-
Convergent Validity
- CR:
-
Composite reliability
- AVE:
-
Average Variance Extracted
- SPSS:
-
Statistical Package for the Social Sciences
- VLE:
-
Virtual Learning Environment
- LMS:
-
Learning Management System
- CMS:
-
Course Management System
- PLE:
-
Personal Learning Environment
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Sultana, J. Determining the factors that affect the uses of Mobile Cloud Learning (MCL) platform Blackboard- a modification of the UTAUT model. Educ Inf Technol 25, 223–238 (2020). https://doi.org/10.1007/s10639-019-09969-1
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DOI: https://doi.org/10.1007/s10639-019-09969-1