1,471
Views
22
CrossRef citations to date
0
Altmetric
Articles

A large-scale test of the relationship between procrastination and performance using learning analytics

ORCID Icon, ORCID Icon & ORCID Icon

References

  • Agudo-Peregrina, A. F., S. Iglesias-Pradas, M. A. Conde-González, and A. Hernández-García. 2014. “Can We Predict Success from Log Data in VLEs? Classification of Interactions for Learning Analytics and Their Relation with Performance in VLE-Supported F2F and Online Learning.” Computers in Human Behavior 31: 542–550. doi:10.1016/j.chb.2013.05.031.
  • Arnott, D., and S. Dacko. 2014. “Time of Submission: An Indicator of Procrastination and a Correlate of Performance on Undergraduate Marketing Assignments.” Paper presented at the 43rd European Marketing Academy Conference: Paradigm Shifts & Interactions, Valencia, Spain, June 4.
  • Baker, R. S., D. Lindrum, M. J. Lindrum, and D. Perkowski. 2015. “Analyzing Early At-Risk Factors in Higher Education E-Learning Courses.” Paper presented at the 8th International Conference on Educational Data Mining, Madrid, Spain, June 26–29.
  • Bates, D., M. Mächler, B. Bolker, and S. Walker. 2015. “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software 67 (1): 1–48. doi:10.18637/jss.v067.i01.
  • Cerezo, R., M. Sánchez-Santillán, M. P. Paule-Ruiz, and J. C. Núñez. 2016. “Students' LMS Interaction Patterns and Their Relationship with Achievement: A Case Study in Higher Education.” Computers & Education 96: 42–54. doi:10.1016/j.compedu.2016.02.006.
  • Charlton, C., J. Rasbash, W. J. Browne, M. Healy, and B. Cameron. 2017. “MLwiN Version 3.00.” Centre for Multilevel Modelling, University of Bristol, Bristol, UK.
  • Choi, J. N., and S. V. Moran. 2009. “Why Not Procrastinate? Development and Validation of a New Active Procrastination Scale.” The Journal of Social Psychology 149 (2): 195–212. doi:10.3200/SOCP.149.2.195-212.
  • Chu, C. A. H., and J. N. Choi. 2005. “Rethinking Procrastination: Positive Effects of ‘Active’ Procrastination Behavior on Attitudes and Performance.” The Journal of Social Psychology 145 (3): 245–264. doi:10.3200/SOCP.145.3.245-264.
  • Colvin, C., T. Rogers, A. Wade, S. Dawson, D. Gasevic, S. Buckingham Shum, K. Nelson, et al. 2015. Student Retention and Learning Analytics: A Snapshot of Australian Practices and a Framework for Advancement. Canberra: Australian Government Office for Learning and Teaching.
  • Corkin, D. M., S. L. Yu, and S. F. Lindt. 2011. “Comparing Active Delay and Procrastination from a Self-Regulated Learning Perspective.” Learning and Individual Differences 21 (5): 602–606. doi:10.1016/j.lindif.2011.07.005.
  • Dawson, S., D. Gašević, G. Siemens, and S. Joksimovic. 2014. “Current State and Future Trends: A Citation Network Analysis of the Learning Analytics Field.” Proceedings of the Fourth International Conference on Learning Analytics and Knowledge (LAK ’14). ACM, New York, NY, 231–240. doi:10.1145/2567574.2567585.
  • De Freitas, S., D. Gibson, C. Du Plessis, P. Halloran, E. Williams, M. Ambrose, I. Dunwell, and S. Arnab. 2015. “Foundations of Dynamic Learning Analytics: Using University Student Data to Increase Retention.” British Journal of Educational Technology 46 (6): 1175–1188. doi:10.1111/bjet.12212.
  • Dewitte, S., and H. C. Schouwenburg. 2002. “Procrastination, Temptations, and Incentives: The Struggle between the Present and the Future in Procrastinators and the Punctual.” European Journal of Personality 16 (6): 469–489. doi:10.1002/per.461.
  • Gafni, R., and N. Geri. 2010. “Time Management: Procrastination Tendency in Individual and Collaborative Tasks.” Interdisciplinary Journal of Information, Knowledge, and Management 5: 115–125. doi:10.28945/1127.
  • Gašević, D., S. Dawson, T. Rogers, and D. Gašević. 2016. “Learning Analytics Should Not Promote One Size Fits All: The Effects of Instructional Conditions in Predicting Academic Success.” Internet and Higher Education 28: 68–84. doi:10.1016/j.iheduc.2015.10.002.
  • Hensley, L. C. 2014. “Reconsidering Active Procrastination: Relations to Motivation and Achievement in College Anatomy.” Learning and Individual Differences 36: 157–164. doi:10.1016/j.lindif.2014.10.012.
  • Howell, A. J., D. C. Watson, R. A. Powell, and K. Buro. 2006. “Academic Procrastination: The Pattern and Correlates of Behavioural Postponement.” Personality and Individual Differences 40 (8): 1519–1530. doi:10.1016/j.paid.2005.11.023.
  • Hox, J. J. 2010. Multilevel Analysis: Techniques and Applications. 2nd ed. New York: Routledge/Taylor & Francis
  • Jo, I.-H., Park, Y. M. Yoon, and H. Sung. 2016. “Evaluation of Online Log Variables That Estimate Learners’ Time Management in a Korean Online Learning Context.” The International Review of Research in Open and Distributed Learning 17 (1): 195–213. doi:10.19173/irrodl.v17i1.2176.
  • Kim, K., and E. Seo. 2015. “The Relationship between Procrastination and Academic Performance: A Meta-Analysis.” Personality and Individual Differences 82: 26–33. doi:10.1016/j.paid.2015.02.038.
  • Kim, S., S. Fernandez, and L. Terrier. 2017. “Procrastination, Personality Traits, and Academic Performance: When Active and Passive Procrastination Tell a Different Story.” Personality and Individual Differences 108: 154–157. doi:10.1016/j.paid.2016.12.021.
  • Klingsieck, K. B. 2013. “Procrastination: When Good Things Don’t Come to Those Who Wait.” European Psychologist 18 (1): 24–34.
  • König, C. J., and M. Kleinman. 2005. “Deadline Rush: A Time Management Phenomenon and Its Mathematical Description.” The Journal of Psychology 139 (1): 33–45. doi:10.3200/jrlp.139.1.33-45.
  • Levy, Y., and M. M. Ramim. 2012. “A Study of Online Exams Procrastination Using Data Analytics Techniques.” Interdisciplinary Journal of E-Learning and Learning Objects 8: 97–113. doi:10.28945/1730.
  • Luke, S. G. 2017. “Evaluating Significance in Linear Mixed-Effects Models in R.” Behavior Research Methods 49 (4): 1494–1502. doi:10.3758/s13428-016-0809-y.
  • McElroy, B. W., and B. H. Lubich. 2013. “Predictors of Course Outcomes: Early Indicators of Delay in Online Classroom.” Distance Education 34 (1): 84–96. doi:10.1080/01587919.2013.770433.
  • Moon, S. M., and A. J. Illingworth. 2005. “Exploring the Dynamic Nature of Procrastination: A Latent Growth Curve Analysis of Academic Procrastination.” Personality and Individual Differences 38 (2): 297–309. doi:10.1016/j.paid.2004.04.009.
  • Nakagawa, S., Johnson, P. P., and H. Schielzeth. 2017. “The Coefficient of Determination R2 and Intra-Class Correlation Coefficient from Generalized Linear Mixed-Effects Models Revisited and Expanded.” Journal of the Royal Society Interface 14 (134): 20170213. doi:10.1098/rsif.2017.0213.
  • Oliphant, T. E. 2006. A Guide to NumPy. USA: Trelgol Publishing.
  • R Core Team. 2019. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
  • Rasbash, J., F. Steele, W. J. Browne, and H. Goldstein. 2017. A User's Guide to MLwiN, v3.01. Centre for Multilevel Modelling, University of Bristol, Bristol, UK.
  • Rosenthal, R. 1979. “The File Drawer Problem and Tolerance for Null Results.” Psychological Bulletin 86 (3): 638–641. doi:10.1037/0033-2909.86.3.638.
  • Rotenstein, A., H. Z. Davis, and L. Tatum. 2009. “Early Birds versus Just-in-Timers: The Effect of Procrastination on Academic Performance of Accounting Students.” Journal of Accounting Education 27 (4): 223–232. doi:10.1016/j.jaccedu.2010.08.001.
  • Rozental, A., E. Forsell, A. Svensson, D. Forsström, G. Andersson, and P. Carlbring. 2015. “Differentiating Procrastinators from Each Other: A Cluster Analysis.” Cognitive Behaviour Therapy 44 (6): 480–490. doi:10.1080/16506073.2015.1059353.
  • Siemens. 2010. Definition provided on 22nd July 2010 for the 1st International Conference on Learning Analytics and Knowledge, Banff, Alberta, February 27–March 1, 2011. https://tekri.athabascau.ca/analytics/about.
  • Solomon, L. J., and E. D. Rothblum. 1984. “Academic Procrastination: Frequency and Cognitive-Behavioral Correlates.” Journal of Counseling Psychology 31 (4): 503–509. doi:10.1037/0022-0167.31.4.503.
  • Steel, P. 2007. “The Nature of Procrastination: A Meta-Analytic and Theoretical Review of Quintessential Self-Regulatory Failure.” Psychological Bulletin 133 (1): 65–94. doi:10.1037/0033-2909.133.1.65.
  • Steel, P., T. Brothen, and C. Wambach. 2001. “Procrastination and Personality, Performance, and Mood.” Personality and Individual Differences 30 (1): 95–106. doi:10.1016/S0191-8869(00)00013-1.
  • Thille, C., E. Schneider, R. F. Kizilcec, C. Piech, S. A. Halawa, and D. K. Greene. 2014. “The Future of Data-Enriched Assessment.” Research & Practice in Assessment 9 (2): 5–12.
  • Tice, D. M., and R. F. Baumeister. 1997. “Longitudinal Study of Procrastination, Performance, Stress, and Health: The Costs and Benefits of Dawdling.” Psychological Science 8 (6): 454–458. doi:10.1111/j.1467-9280.1997.tb00460.x.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.