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Understanding learners' completion intention of massive open online courses (MOOCs): role of personality traits and personal innovativeness

Understanding learners' completion intention of massive open online courses (MOOCs): role of... The present study investigates the influence of five personality traits based on the Big Five model, i.e. extraversion, neuroticism, conscientiousness, agreeableness and openness to experience and personal innovativeness on learners' intention to complete MOOCs.Design/methodology/approachThe proposed model was empirically tested using cross-sectional design. The primary data were gathered through a survey of 515 students at five higher educational institutions in the National Capital Region of Delhi, India. Structural equation modelling was used to test the hypothesized relationships in the proposed model.FindingsThe study has found significant associations between the personality traits, personal innovativeness and MOOC completion intention. The findings indicate that extraversion, conscientiousness, agreeableness, openness to experience and personal innovativeness have significant positive effects whereas neuroticism has no significant effect on MOOCs continuance intention. Personal innovativeness has been found to mediate the relationships between all the personality traits and MOOCs completion intention of learners.Practical implicationsOur findings can potentially address the issue of drop-out rates of MOOCs in developing countries such as India. The findings of the study are helpful for MOOCs providers and other stakeholders. The MOOC developers should develop courses with wide scope so as to accommodate learners with different personality profiles. Additionally, during the enrolment process, MOOC providers can identify the students' attributes through personality tests. This will help in customizing the study material and teaching pedagogy as per the needs of the students.Originality/valueThe study contributes to the growing area of research in MOOCs usage by exploring the influence of personality traits on learners' behaviour towards completing MOOCs. Since the learners' intention to complete MOOCs is a major concern for MOOC developers, hence the present study makes a worthwhile contribution as it is a relatively under-researched area. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Educational Management Emerald Publishing

Understanding learners' completion intention of massive open online courses (MOOCs): role of personality traits and personal innovativeness

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0951-354X
DOI
10.1108/ijem-01-2020-0042
Publisher site
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Abstract

The present study investigates the influence of five personality traits based on the Big Five model, i.e. extraversion, neuroticism, conscientiousness, agreeableness and openness to experience and personal innovativeness on learners' intention to complete MOOCs.Design/methodology/approachThe proposed model was empirically tested using cross-sectional design. The primary data were gathered through a survey of 515 students at five higher educational institutions in the National Capital Region of Delhi, India. Structural equation modelling was used to test the hypothesized relationships in the proposed model.FindingsThe study has found significant associations between the personality traits, personal innovativeness and MOOC completion intention. The findings indicate that extraversion, conscientiousness, agreeableness, openness to experience and personal innovativeness have significant positive effects whereas neuroticism has no significant effect on MOOCs continuance intention. Personal innovativeness has been found to mediate the relationships between all the personality traits and MOOCs completion intention of learners.Practical implicationsOur findings can potentially address the issue of drop-out rates of MOOCs in developing countries such as India. The findings of the study are helpful for MOOCs providers and other stakeholders. The MOOC developers should develop courses with wide scope so as to accommodate learners with different personality profiles. Additionally, during the enrolment process, MOOC providers can identify the students' attributes through personality tests. This will help in customizing the study material and teaching pedagogy as per the needs of the students.Originality/valueThe study contributes to the growing area of research in MOOCs usage by exploring the influence of personality traits on learners' behaviour towards completing MOOCs. Since the learners' intention to complete MOOCs is a major concern for MOOC developers, hence the present study makes a worthwhile contribution as it is a relatively under-researched area.

Journal

International Journal of Educational Management – Emerald Publishing

Published: May 6, 2021

Keywords: Massive open online courses (MOOCs); Completion; Big five model; Personal innovativeness

References

  • A conceptual and operational definition of personal innovativeness in the domain of information technology
    Agarwal, R.; Prasad, J.
  • All India survey on higher education
  • Factors affecting student dropout in MOOCs: a cause and effect decision‐making model
    Aldowah, H.; Al-Samarraie, H.; Alzahrani, A.I.; Alawan, N.
  • Personality traits, individual innovativeness and satisfaction with life
    Ali, I.
  • Structural equation modeling in practice: a review and recommended two-step approach
    Anderson, J.C.; Gerbing, D.W.
  • Comparison of course completion and student performance through online and traditional courses
    Atchley, T.; Wingenbach, G.; Akers, C.
  • Understanding the role of social capital in adolescents' big five personality effects on school-to-work transitions
    Baay, P.E.; Van Aken, M.A.; De Ridder, D.T.; Van der Lippe, T.
  • Academic amotivation and intention to school dropout: the mediation role of academic achievement and absenteeism
    Balkis, M.
  • Success in distance education: do learning styles and multiple formats matter?
    Battalio, J.
  • Trust and risk in e-government adoption
    Belanger, F.; Carter, L.
  • The impact of personality on students' perceptions towards online learning
    Bhagat, K.K.; Wu, L.Y.; Chang, C.Y.
  • A contrarian view of the five-factor approach to personality description
    Block, J.
  • Student satisfaction with blended and online courses based on personality type
    Bolliger, D.U.; Erichsen, E.A.
  • The description of personality: basic traits resolved into clusters
    Cattell, R.B.
  • Evaluating styles and strategies in e-learning
    Cocoradă, E.; Scutaru, Gh.; Pavalache-Ilie, M.; Cocoradă, S.
  • A power primer
    Cohen, J.
  • Toward an integrative theory of training motivation: a meta-analytic path analysis of 20 years of research
    Colquitt, J.A.; LePine, J.A.; Noe, R.A.
  • How does personality matter? relating the five-factor model to technology acceptance and use
    Devaraj, S.; Easley, R.E.; Crant, J.M.
  • The mini-IPIP scales: tiny-yet-effective measures of the big five factors of personality
    Donnellan, M.B.; Oswald, F.L.; Baird, B.M.; Lucas, R.E.
  • The relationship between ethical ideology and ethical behavior intentions: an exploratory look at physicians' responses to managed care dilemmas
    Eastman, J.K.; Eastman, K.L.; Tolson, M.A.
  • Case study: using MOOCs for conventional college coursework
    Firmin, R.; Schiorring, E.; Whitmer, J.; Willett, T.; Collins, E.D.; Sujitparapitaya, S.
  • Evaluating structural equation models with unobservable variables and measurement error
    Fornell, C.; Larcker, D.F.
  • An application of AHP for students’ perspectives on adopting MOOCs
    Gupta, K.P.
  • Adoption, completion and continuance of MOOCs: a longitudinal study of students' behavioural intentions
    Gupta, K.P.; Maurya, H.
  • Linking personality and innovation: the role of knowledge management
    Hsieh, H.-L.; Hsieh, J.-R.; Wang, I.-L.
  • Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives
    Hu, L.T.; Bentler, P.M.
  • The big five personality traits, general mental ability, and career success across the life span
    Judge, T.A.; Higgins, C.A.; Thoresen, C.J.; Barrick, M.R.
  • Individual differences and relative advantage: the case of GSS
    Karahanna, E.; Ahuja, M.; Srite, M.; Galvin, J.
  • Exploring the relationship between Internet ethics in university students and the big five model of personality
    Karim, N.S.A.; Zamzuri, N.H.A.; Nor, Y.M.
  • The importance of personality in students' perceptions of the online learning experience
    Keller, H.; Karau, S.J.
  • Characteristics of massive open online courses (MOOCs): a research review, 2009‐2012
    Kennedy, J.
  • Cognitive style and personality: the Kirton adaption-innovation and Cattell's sixteen personality factor inventories
    Kirton, M.J.; DeCiantis, S.M.
  • The relationship between the big five personality traits and academic motivation
    Komarraju, M.; Karau, S.J.
  • Role of the Big Five personality traits in predicting college students' academic motivation and achievement
    Komarraju, M.; Karau, S.J.; Schmeck, R.R.
  • An investigation of Big Five and narrow personality traits in relation to internet usage
    Landers, R.N.; Lounsbury, J.W.
  • Are personal innovativeness and social influence critical to continue with mobile commerce?
    Lu, J.
  • Decision-making determinants of students participating in MOOCs: merging the theory of planned behavior and self-regulated learning model
    Lung-Guang, N.
  • Personality, attitudes, and affect as predictors of second language communication
    MacIntyre, P.D.; Charos, C.
  • The ideals and reality of participating in a MOOC
    Mackness, J.; Mak, S.; Fai, J.; Williams, R.
  • A five-factor theory of personality
    McCrae, R.R.; Costa, P.T.
  • Universal features of personality traits from the observer's perspective: data from 50 cultures
    McCrae, R.R.; Terracciano, A.
  • Dispositional factors in internet use
    McElroy, J.C.; Hendrickson, A.R.; Townsend, A.M.; DeMarie, S.M.
  • Intention and barriers to use MOOCs: an investigation among the post graduate students in India
    Mohan, M.M.; Upadhyaya, P.; Pillai, K.R.
  • Moocs struggle to lift rock-bottom completion rates
    Murray, S.
  • Impact of learner's characteristics and learning behaviour on learning performance during a fully online course
    Nakayama, M.; Mutsuura, K.; Yamamoto, H.
  • Do personality and learning climate predict competence for learning? An investigation in a Greek academic setting
    Ntalianis, F.
  • Engagement and retention in VET MOOCs and online courses: a systematic review of literature from 2013 to 2017
    Paton, R.M.; Fluck, A.E.; Scanlan, J.D.
  • Interactions of students' personality in the online learning environment
    Pavalache-Ilie, M.; Cocoradă, S.
  • A meta-analytic examination of the goal orientation nomological net
    Payne, S.C.; Youngcourt, S.S.; Beaubien, J.M.
  • Personality and team performance: a meta-analysis
    Peeters, M.A.G.; Tuijil, H.F.J.M.V.; Rutte, C.G.; Reymen, I.M.M.J.
  • The influence of personality and chronotype on distance learning willingness and anxiety among vocational high school students in Turkey
    Randler, C.; Horzum, M.B.; Vollmer, C.
  • National personality profiles and innovation: the role of cultural practices
    Rossberger, R.J.
  • Personality preferences and diverse online learning experiences
    Russell, A.
  • Relationship of student undergraduate achievement and personality characteristics in a total web-based environment: an empirical study
    Schniederjans, M.J.; Kim, E.B.
  • Personality, nations, and innovation: relationships between personality traits and national innovation scores
    Steel, G.D.; Rinne, T.; Fairweather, J.
  • Understanding students' engagement in MOOCs: an integration of self-determination theory and theory of relationship quality
    Sun, Y.; Ni, L.; Zhao, Y.; Shen, X.L.; Wang, N.
  • An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy
    Thatcher, J.B.; Perrewe, P.L.
  • Factors that influence college completion intention of undergraduate students
    Thomas, D.
  • Personality and vocational behavior: a selective review of the literature 1993-1997
    Tokar, D.M.; Fischer, A.R.; Subich, L.M.
  • The effects of personality and media differences on the performance of dyads addressing a cognitive conflict task
    Topi, H.; Valacich, J.S.; Rao, M.T.
  • Looking for students' personal characteristics predicting study outcome
    Van Bragt, C.A.C.; Bakx, A.W.E.A.; Bergen, T.C.M.; Croon, M.A.
  • User acceptance of hedonic information systems
    Van der Heijden, H.
  • Understanding e-Government portal use in rural India: role of demographic and personality characteristics
    Venkatesh, V.; Sykes, T.A.; Venkatraman, S.
  • Grit and intention: why do learners complete MOOCs?
    Wang, Y.; Baker, R.
  • Linking citizen satisfaction with e-government and trust in government
    Welch, E.W.; Hinnant, C.C.; Moon, M.J.
  • Continuance intention to use MOOCs: integrating the technology acceptance model (TAM) and task technology fit (TTF) model
    Wu, B.; Chen, X.
  • Impact of the individual innovativeness characteristics on success and contentment at the computer programming course: a web-based blended learning experience
    Yağcı, M.
  • Understanding the role of individual innovativeness in the acceptance of IT-based innovations: comparative analyses of models and measures
    Yi, M.Y.; Fiedler, K.D.; Park, J.S.
  • Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience
    Zhou, T.; Lu, Y.
  • University students' online learning attitudes and continuous intention to undertake online courses: a self-regulated learning perspective
    Zhu, Y.; Zhang, J.H.; Au, W.; Yates, G.
  • Age and gender differences in morningness–eveningness in Turkish adolescents and young adults
    Randler, C.; Vollmer, C.; Beşoluk, Ş.; Önder, İ.; Horzum, M.B.