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Articles

Decisional styles and online study activity: efficient, inefficient, misdirected or avoidant

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Pages 2275-2282 | Received 02 Mar 2020, Accepted 29 Mar 2021, Published online: 10 Apr 2021

References

  • Ashcraft, M. H. 1989. Human Memory and Cognition (ch. 12). Glenview, IL: Scott, Foresman and Co.
  • Ball, C., L. Mann, and C. Stamm. 1994. “Decision-making Abilities of Intellectually Gifted and Non-Gifted Children.” Australian Journal of Psychology 46: 13–20. https://doi.org/10.1080/00049539408259464.
  • Beswick, G., E. Rothblum, and L. Mann. 1988. “Psychological Antecedents of Student Procrastination.” Australian Psychologist 23: 207–217. https://doi.org/10.1080/00050068808255605.
  • Brdesee, H. 2018. “A Mixed Method Analysis of the Online Information Course Withdrawal System.” Behaviour & Information Technology 37: 1037–1054. http://doi.org/10.1080/0144929X.2018.1495764.
  • Burgess, S., and H. H. Sievertsen. 2020. Schools, Skills, and Learning: The Impact of COVID-19 on Education. Vox. https://voxeu.org/article/impact-covid-19-education.
  • Chen, C., G. Sonnert, P. M. Sadler, and D. J. Malan. 2020a. “Foreseeing the Endgame: Who Are the Students Who Take the Final Exam at the Beginning of a MOOC?” Behaviour & Information Technology. doi:10.1080/0144929X.2019.1711452.
  • Chen, V. H. H., C. Wilhelm, and S. Joeckel. 2020b. “Relating Video Game Exposure, Sensation Seeking, Aggression and Socioeconomic Factors to School Performance.” Behaviour & Information Technology 39 (9): 957–969. doi:10.1080/0144929X.2019.1634762.
  • Du, X., J. Yang, B. E. Shelton, J. Hung, and M. Zhang. 2021. “A Systematic Meta-review and Analysis of Learning Analytics Research.” Behaviour & Information Technology 40 (1): 49–62. http://doi.org/10.1080/0144929X.2019.1669712.
  • Fischhoff, B., P. Slovic, and S. Lichtenstein. 1978. “Fault Trees: Sensitivity of Estimated Failure Probabilities to Problem Representation.” Journal of Experimental Psychology: Human Perception and Performance 4 (2): 330–344. https://doi.org/10.1037/0096-1523.4.2.330.
  • Franssila, H., J. Okkonen, and R. Savolainen. 2016. “Developing Measures for Information Ergonomics in Knowledge Work.” Ergonomics 59 (3): 435–448. http://doi.org/10.1080/00140139.2015.1073795.
  • Gallagher, S., and J. Palmer. 2020, September 29. The Pandemic Pushed Universities Online. The Change was Long Overdue. Harvard Business Review. https://hbr.org/2020/09/the-pandemic-pushed-universities-online-the-change-was-long-overdue.
  • Gee, P., K. R. Coventry, and D. Birkenhead. 2005. “Mood State and Gambling: Using Mobile Telephones to Track Emotions.” British Journal of Psychology 96: 53–66. doi:10.1348/000712604X15536.
  • Güğerçin, U. 2019. “Does Techno-stress Justify Cyberslacking? An Empirical Study Based on the Neutralisation Theory.” Behaviour & Information Technology, doi:10.1080/0144929X.2019.1617350.
  • Harari, G. M., S. D. Gosling, R. Wang, F. Chen, Z. Chen, and A. T. Campbell. 2017. “Patterns of Behavior Change in Students Over an Academic Term: A Preliminary Study of Activity and Sociability Behaviors Using Smartphone Sensing Methods.” Computers in Human Behavior 67: 129–138. http://doi.org/10.1016/j.chb.2016.10.027.
  • He, T., Q. Huang, Z. Yu, and S. Li. 2020. “Exploring Students’ Digital Informal Learning: The Roles of Digital Competence and DTPB Factors.” Behaviour & Information Technology. doi:10.1080/0144929X.2020.1752800.
  • Helal, S., J. Li, L. Liu, E. Ebrahimie, S. Dawson, D. J. Murray, and Q. Long. 2018. “Predicting Academic Performance by Considering Student Heterogeneity.” Knowledge-Based Systems 161: 134–146. https://doi.org/10.1016/j.knosys.2018.07.042.
  • Herek, G. M., I. Janis, and P. Huth. 1987. “Decision Making During International Crisis: Is Quality of Process Related to Outcome?” Journal of Conflict Resolution 31: 203–226. https://doi.org/10.1177/0022002787031002001.
  • Howard, E., M. Meehan, and A. Parnell. 2018. “Contrasting Prediction Methods for Early Warning Systems at Undergraduate Level.” The Internet and Higher Education 37: 66–75. http://doi.org/10.1016/j.iheduc.2018.02.001.
  • Hsia, J.-W., C.-C. Chang, and A.-H. Tseng. 2014. “Effects of Individuals’ Locus of Control and Computer Self-efficacy on Their E-learning Acceptance in High-tech Companies.” Behaviour & Information Technology 33: 51–64. http://doi.org/10.1080/0144929X.2012.702284.
  • Janis, I. L., and L. Mann. 1977. “Emergency Decision Making: A Theoretical Analysis of Responses to Disaster Warnings.” Journal of Human Stress 3 (2): 35–48. https://doi.org/10.1080/0097840X.1977.9936085.
  • Jena, R. K. 2018. “Predicting Students’ Learning Style Using Learning Analytics: A Case Study of Business Management Students from India.” Behaviour & Information Technology 37: 978–992. http://doi.org/10.1080/0144929X.2018.1482369.
  • Kim, Y. S., B.-J. Yum, J. Song, and S. M. Kim. 2005. “Development of a Recommender System Based on Navigational and Behavioral Patterns of Customers in E-commerce Sites.” Expert Systems with Applications 28 (2): 381–393. http://doi.org/10.1016/j.eswa.2004.10.017.
  • Koehler, D. J. 1991. “Explanation, Imagination, and Confidence in Judgment.” Psychological Bulletin 110 (3): 499–519. http://doi.org/10.1037/0033-2909.110.3.499.
  • Kokoç, M., and A. Altun. 2021. “Effects of Learner Interaction with Learning Dashboards on Academic Performance in an E-learning Environment.” Behaviour & Information Technology 40 (2): 161–175. https://doi.org/10.1080/0144929X.2019.1680731.
  • Koriat, A., S. Lichtenstein, and B. Fischhoff. 1980. “Reasons for Confidence.” Journal of Experimental Psychology: Human Learning and Memory 6 (2): 107–118. https://doi.org/10.1037/0278-7393.6.2.107.
  • Kruger, J., and D. Dunning. 1999. “Unskilled and Unaware of It: How Difficulties in Recognizing One's Own Incompetence Lead to Inflated Self-assessments.” Journal of Personality and Social Psychology 77: 1121–1134. https://doi.org/10.1037/0022-3514.77.6.1121.
  • Lacave, C., A. I. Molina, and J. A. Cruz-Lemus. 2018. “Learning Analytics to Identify Dropout Factors of Computer Science Studies Through Bayesian Networks.” Behaviour & Information Technology 37: 993–1007. http://doi.org/10.1080/0144929X.2018.1485053.
  • Lavoie, J. A. A., and T. A. Pychyl. 2001. “Cyberslacking and the Procrastination Superhighway: A Web-based Survey of Online Procrastination, Attitudes, and Emotion.” Social Science Computer Review 19: 431–444. https://doi.org/10.1177/089443930101900403.
  • Lerche, T., and E. Kiel. 2018. “Predicting Student Achievement in Learning Management Systems by Log Data Analysis.” Computers in Human Behavior 89: 367–372. doi:10.1016/j.chb.2018.06.015.
  • Lichtenstein, S., and B. Fischhoff. 1977. “Do Those Who Know More Also Know More About How Much They Know?” Organizational Behavior and Human Performance 20: 159–183. https://doi.org/10.1016/0030-5073(77)90001-0.
  • Lim, V. K. G. 2002. “The IT Way of Loafing on the Job: Cyberloafing, Neutralizing and Organizational Justice.” Journal of Organizational Behavior 23: 675–694. https://doi.org/10.1002/job.161.
  • Liu, S., J. Gomez, B. Khan, and C.-J. Yen. 2007. “Toward a Learner-oriented Community College Online Course Dropout Framework.” International Journal on E-Learning 6 (4): 519–542. https://www.learntechlib.org/primary/p/21789/.
  • Liu, C.-C., S.-J. Tao, and J.-N. Nee. 2008. “Bridging the gap Between Students and Computers: Supporting Activity Awareness for Network Collaborative Learning with GSM Network.” Behaviour & Information Technology 27: 127–137. http://doi.org/10.1080/01449290601054772.
  • Mann, L., and C. Ball. 1994. “The Relationship Between Search Strategy and Risky Choice.” Australian Journal of Psychology 46: 131–136. https://doi.org/10.1080/00049539408259487.
  • Mann, L., P. Burnett, M. Radford, and S. Ford. 1997. “The Melbourne Decision Making Questionnaire: An Instrument for Measuring Patterns for Coping with Decisional Conflict.” Journal of Behavioral Decision Making 10: 1–19. https://doi.org/10.1002/(SICI)1099-0771(199703)10:1<1::AID-BDM242>3.0.CO;2-X.
  • Mann, L., and C. Tan. 1993. “The Hassled Decision Maker: The Effects of Perceived Time Pressure on Information Processing in Decision Making.” Australian Journal of Management 18: 197–209. https://doi.org/10.1177/031289629301800204.
  • Matanda, M., V. B. Jenvey, and J. G. Phillips. 2004. “Internet Use in Adulthood: Loneliness, Computer Anxiety and Education.” Behaviour Change 21 (2): 103–114. https://doi.org/10.1375/bech.21.2.103.55424.
  • Milne, J., L. M. Jeffrey, G. Suddaby, and A. Higgins. 2012. Early identification of students at risk of failing. Paper presented at Ascilite 2012, 25-28 November,Wellington, NZ. https://www.learntechlib.org/p/42660/.
  • Montaner, M., B. López, and J. L. de la Rosa. 2003. “A Taxonomy of Recommender Agents on the Internet.” Artificial Intelligence Review 19: 285–330. http://doi.org/10.1023/A:1022850703159.
  • Nazmul Haque Nahin, A. F. M., J. M. Alam, H. Mahmud, and K. Hasan. 2014. “Identifying Emotion by Keystroke Dynamics and Text Pattern Analysis.” Behaviour & Information Technology 33: 987–996. http://doi.org/10.1080/0144929X.2014.907343.
  • Phillips, J., G. Hyman, P. Bertling, and M. Jory. 2011. Videoconferenced lectures are a preferred download. Proceedings of CHINZ 2011, July 4–5, 2011, Hamilton, New Zealand, pp. 113-116. ACM 978-1-4503-0676-8/11/07.
  • Phillips, J. G., M. Jory, and N. Mogford. 2007. Decisional style and eParticipation. Proceedings of OZCHI2007, pp. 139-141. Available from http://portal.acm.org/dl.cfm.
  • Phillips, J. G., and L. Reddie. 2007. “Decisional Style and Self-Reported Email use in the Workplace.” Computers in Human Behavior 23: 2414–2428. https://doi.org/10.1016/j.chb.2006.03.016.
  • Radford, M. H., L. Mann, and R. S. Kalucy. 1986. “Psychiatric Disturbance and Decision-Making.” Australian and New Zealand Journal of Psychiatry 20: 210–217. https://doi.org/10.3109/00048678609161333.
  • Ramsay, J., and K. Renaud. 2012. “Using Insights from Email Users to Inform Organisational Email Management Policy.” Behaviour & Information Technology 31: 587–603. http://doi.org/10.1080/0144929X.2010.517271.
  • Roberts, L. D., J. A. Howell, K. Seaman, and D. C. Gibson. 2016. “Student Attitudes Toward Learning Analytics in Higher Education: “the Fitbit Version of the Learning World”.” Frontiers in Psychology 7: 1959.
  • Rossett, A. 2000. “Confessions of an e-Dropout.” Training Magazine 37 (8): 100–110. Retrieved 25th February, 2020, from http://www.utm.edu/staff/rnavel/pdf/Edropout.pdf.
  • Sclater, N. 2017. Planning interventions with at-risk students. JISC. Downloaded 13th January 2020 from https://analytics.jiscinvolve.org/wp/2017/06/26/planning-interventions-with-at-risk-students/.
  • Shirren, S., and J. G. Phillips. 2011. “Decisional Style, Mood and Work Communication: Email Diaries.” Ergonomics 54 (10): 891–903. https://doi.org/10.1080/00140139.2011.609283.
  • Sivarajah, U., M. M. Kamal, Z. Irani, and V. Weerakkody. 2017. “Critical Analysis of Big Data Challenges and Analytical Methods.” Journal of Business Research 70: 263–286. https://doi.org/10.1016/j.jbusres.2016.08.001.
  • Steel, P. 2007. “The Nature of Procrastination: A Meta-Analytic and Theoretical Review of Quintessential Self-regulatory Failure.” Psychological Bulletin 133 (1): 65–94. http://doi.org/10.1037/0033-2909.133.1.65.
  • Thatcher, A., G. Wretschko, and P. Fridjhon. 2008. “Online Flow Experiences, Problematic Internet Use, and Internet Procrastination.” Computers in Human Behavior 24: 2236–2254. https://doi.org/10.1016/j.chb.2007.10.008.
  • Tobias, T. 2009. “Changing Behavior by Memory Aids: A Social Psychological Model of Prospective Memory and Habit Development Tested with Dynamic Field Data.” Psychological Review 116 (2): 408–438. https://doi.org/10.1037/a0015512.
  • Townsend, J. T., and F. G. Ashby. 1983. Stochastic Modeling of Elementary Psychological Processes. London: Cambridge University Press.
  • Vickers, D., and J. Packer. 1982. “Effects of Alternating Set for Speed or Accuracy on Response Time, Accuracy and Confidence in a Unidimensional Discrimination Task.” Acta Psychologica 50 (2): 179–197. https://doi.org/10.1016/0001-6918(82)90006-3.
  • Waheed, H., S. Hassan, N. R. Aljohani, and M. Wasif. 2018. “A Bibliometric Perspective of Learning Analytics Research Landscape.” Behaviour & Information Technology 37: 941–957. doi:10.1080/0144929X.2018.1467967.
  • Wang, X., S. C. Tan, and L. Li. 2020. “Technostress in University Students’ Technology-enhanced Learning: an Investigation from Multidimensional Person-environment Misfit.” Computers in Human Behavior 105), http://doi.org/10.1016/j.chb.2019.106208.
  • Zhang, J., X. Zhang, S. Jiang, P. Ordóñez de Pablos, and Y. Sun. 2018. “Mapping the Study of Learning Analytics in Higher Education.” Behaviour & Information Technology 37: 1142–1155. http://doi.org/10.1080/0144929X.2018.1529198.

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