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Predicting students’ continuance use of learning management system at a technical university using machine learning algorithms
16 references·4 citing·42 second hopsampled
Predicting students’ continuance use of learning management system at a technical university using machine learning algorithms (2022)Predicting students’ continuance use of l…Using the UTAUT model to understand students’ usage of e-learning systems in developing countries (2021)Using the UTAUT model to unde…Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic (2020)Exploring the critical challe…Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model (2019)Exploring Students’ Acceptanc…Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) (2017)Factors affecting the adoptio…E-learning success determinants: Brazilian empirical study (2017)E-learning success determinan…Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios (2016)Investigating the influence o…Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model (2016)Continuance intention to use …How Reliable are Measurement Scales? External Factors with Indirect Influence on Reliability Estimators (2015)How Reliable are Measurement …Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors (2015)Developing a General Extended…Examining the integrated influence of fairness and quality on learners’ satisfaction and Web‐based learning continuance intention (2007)Examining the integrated infl…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Factors Influencing the Adoption of Internet Banking (2000)Factors Influencing the Adopt…Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Determinants of Perceived Eas…A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…Computer Self-Efficacy: Development of a Measure and Initial Test (1995)Computer Self-Efficacy: Devel…Little Jiffy, Mark Iv (1974)Little Jiffy, Mark IvFactors Influencing Medical Students’ Acceptance of Clinical Virtual Simulation Experiments: A Combined TAM and TPB Approach (2025)Factors Influencing Medical S…Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms (2024)Extended Model of Expectation…Evaluating the impact of quality antecedents on university students’ e-learning continuance intentions: A post COVID-19 perspective (2023)Evaluating the impact of qual…Modelling services continuance intention: evidence from apps stores (2022)Modelling services continuanc…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)From Intentions to Actions: A Theory of Planned Behavior (1985)Understanding Information Systems Continuance: An Expectation-Confirmation Model1 (2001)Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit (2008)Diffusion of Innovations 1 (2019)BUSINESS RESEARCH METHODS (PHƯƠNG PHÁP NGHIÊN CỨU TRONG KINH DOANH) (2023)Coefficient Alpha and the Internal Structure of Tests (1951)What is coefficient alpha? An examination of theory and applications. (1993)The weirdest people in the world? (2010)Effect of Variability on Cronbach Alpha Reliability in Research Practice (2020)RETRACTED: An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce (2023)Teachers’ AI-TPACK: Exploring the Relationship between Knowledge Elements (2024)The Application of Electronic Computers to Factor Analysis (1960)A Second Generation Little Jiffy (1970)An Index of Factorial Simplicity (1974)When is a correlation matrix appropriate for factor analysis? Some decision rules. (1974)Exploratory Factor Analysis: A Five-Step Guide for Novices (2010)Blended learning: the new normal and emerging technologies (2018)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Older Adults' Reasons for Using Technology while Aging in Place (2015)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)A power primer. 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(1988)Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products (2019)Understanding the determinants of mobile banking continuance usage intention (2019)Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF (2020)Basics of qualitative research (1990)Basics of Qualitative Research (1992)Using thematic analysis in psychology (2006)Students’ Perception towards E-Learning during COVID-19 Pandemic in India: An Empirical Study (2020)COVID-19 and Higher Education: First-Year Students’ Expectations toward Distance Learning (2021)Students’ online learning challenges during the pandemic and how they cope with them: The case of the Philippines (2021)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Trust and TAM in Online Shopping: An Integrated Model1 (2003)
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References

  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
  • 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model6,658 cited
  • 1995Computer Self-Efficacy: Development of a Measure and Initial Test6,414 cited
  • 1974Little Jiffy, Mark Iv3,418 cited
  • 2000Factors Influencing the Adoption of Internet Banking1,712 cited
  • 2015How Reliable are Measurement Scales? External Factors with Indirect Influence on Reliability Estimators1,392 cited
  • 2020Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic1,208 cited
  • 2016Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model1,133 cited
  • 2015Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors986 cited
  • 2016Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios692 cited
  • 2019Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model651 cited
  • 2017E-learning success determinants: Brazilian empirical study

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639 cited
  • 2021Using the UTAUT model to understand students’ usage of e-learning systems in developing countries556 cited
  • 2017Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2)469 cited
  • 2007Examining the integrated influence of fairness and quality on learners’ satisfaction and Web‐based learning continuance intention367 cited
  • Cited by

    • 2024Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms24 cited
    • 2022Modelling services continuance intention: evidence from apps stores18 cited
    • 2025Factors Influencing Medical Students’ Acceptance of Clinical Virtual Simulation Experiments: A Combined TAM and TPB Approach9 cited
    • 2023Evaluating the impact of quality antecedents on university students’ e-learning continuance intentions: A post COVID-19 perspective9 cited