L'application d’autosuivi StudyTracker et sa relation avec la procrastination des personnes étudiantes universitaires
DOI :
https://doi.org/10.21432/cjlt28644Mots-clés :
informatique personnelle, intervention sur la procrastination, autosuivi, gestion du temps, personnes étudiantes universitairesRésumé
La procrastination est un problème répandu chez les personnes étudiantes universitaires et entraîne des répercussions négatives à long terme sur les résultats académiques ainsi que sur la santé mentale et la qualité de vie. Cet article porte sur StudyTracker, une application numérique d’autosuivi que nous avons développée à l’intention des personnes étudiantes universitaires pour qu’elles puissent l’utiliser pour suivre leurs séances d’étude. L’application fournit une rétroaction à la personne étudiante sous forme de texte et de graphiques. Nous avons étudié l’impact de StudyTracker sur les habitudes de procrastination et exploré la manière dont les personnes étudiantes interprétaient les données de rétroaction fournies par l’application. Les résultats indiquent que le groupe de contrôle (N=9) et le groupe expérimental (N=8) ont connu une diminution significative des scores de procrastination, mais il n’y avait pas de différence significative entre les deux groupes. Les implications de nos résultats sur le plan de la conception sont discutées.
Références
Abend, P., & Fuchs, M. (2016). Introduction: The quantified self and statistical bodies. Digital Culture & Society, 2(1), 5–22. https://doi.org/10.14361/dcs-2016-0102
Aguilar, S. J. (2018). Examining the relationship between comparative and self-focused academic data visualizations in at-risk college students’ academic motivation. Journal of Research on Technology in Education, 50(1), 84–103. https://doi.org/10.1080/15391523.2017.1401498
Asmah, A., Ofoeda, J., & Agbozo, E. (2022). An analysis of the persuasive technology design features that support behavioural change. In Proceedings of the Future Technologies Conference (FTC) 2021, Volume 3 (pp. 726737). Springer International Publishing.
Ayobi, A., Sonne, T., Marshall, P., & Cox, A. L. (2018). Flexible and mindful self-tracking: Design implications from paper bullet journals. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1–14). Association for Computing Machinery. https://doi.org/10.1145/3173574.3173602
Bakker, D., & Rickard, N. (2018). Engagement in mobile phone app for self-monitoring of emotional wellbeing predicts changes in mental health: MoodPrism. Journal of Affective Disorders, 227, 432–442. https://doi.org/10.1016/j.jad.2017.11.016
Balkis, M. (2013). Academic procrastination, academic life satisfaction and academic achievement: The mediation role of rational beliefs about studying. Journal of Cognitive and Behavioral Psychotherapies, 13, 57–74.
Bartuskova, A., & Krejcar, O. (2014). Handling procrastination in mobile learning environment—Proposal of reminder application for mobile devices. In S. Zvacek, M. T. Restivo, J. Uhomoibhi, & M. Helfert (Eds.), Proceedings of the 6th International Conference on Computer Supported Education (Vol. 3, pp. 220–225). Science and Technology Publications. https://doi.org/10.5220/0004960702200225
Bellhäuser, H., Dignath, C., & Theobald, M. (2023). Daily automated feedback enhances self-regulated learning: A longitudinal randomized field experiment. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1125873
Cerezo, R., Sánchez-Santillán, M., Paule-Ruiz, M. P., & Núñez, J. C. (2016). Students’ LMS interaction patterns and their relationship with achievement: A case study in higher education. Computers & Education, 96, 42–54. https://doi.org/10.1016/j.compedu.2016.02.006
Choe, E. K., Lee, N. B., Lee, B., Pratt, W., & Kientz, J. A. (2014). Understanding quantified-selfers’ practices in collecting and exploring personal data. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1143–1152). Association for Computing Machinery. https://doi.org/10.1145/2556288.2557372
Davis, D. R., & Abbitt, J. T. (2013). An investigation of the impact of an intervention to reduce academic procrastination using short message service (SMS) technology. Journal of Interactive Online Learning, 12(3), 78–102. https://eric.ed.gov/?id=EJ1032996
Fogg, B. J. (2003). Persuasive technology: Using computers to change what we think and do. Morgan Kaufmann Publishers.
Foulonneau, A., Calvary, G., & Villain, E. (2016). Stop procrastinating: TILT, time is life time, a persuasive application. In Proceedings of the 28th Australian Conference on Computer-Human Interaction (pp. 508–516). Association for Computing Machinery. https://doi.org/10.1145/3010915.3010947
Gimpel, H., Nüske, N., Rückel, T., Urbach, N., & Entreß-Fürsteneck, M. von. (2019). Self-tracking and gamification: Analyzing the interplay of motivations, usage and motivation fulfillment. In Wirtschaftsinformatik 2019 Proceedings. (pp. 1130–1144). Association for Information Systems. https://aisel.aisnet.org/wi2019/track10/papers/3
HabitRPG. (2024). Habitica—Gamify Your Life (Version 3.12) [Mobile app]. Apple App Store. https://apps.apple.com/us/app/habitica-gamified-taskmanager/id994882113
Huang, X. (2022). Data visualization design strategies for promoting exercise motivation in self-tracking applications. In M. Trice, D. J. Sackey, & C. Welhausen (Eds.), Proceedings of the 40th ACM International Conference on Design of Communication (pp. 78–89). Association for Computing Machinery. https://doi.org/10.1145/3513130.3558981
Irwin, M. S., & Edwards, S. H. (2019). Can mobile gaming psychology be used to improve time management on programming assignments? In Proceedings of the ACM Conference on Global Computing Education (pp. 208–214). Association for Computing Machinery. https://doi.org/10.1145/3300115.3309517
Jacobsen, A., & Pedersen, T. A. (2021). Reducing academic procrastination: Designing an artifact to aid students. University of Bergen.
Kim, K. R., & Seo, E. H. (2015). The relationship between procrastination and academic performance: A meta-analysis. Personality and Individual Differences, 82, 26–33. https://doi.org/10.1016/j.paid.2015.02.038
Kirchner-Krath, J., Schmidt-Kraepelin, M., Schöbel, S., Ullrich, M., Sunyaev, A., & Von Korflesch, H. F. O. (2024). Outplay your weaker self: A mixed-methods study on gamification to overcome procrastination in academia. In F. F. Mueller, P. Kyburz, J. R. Williamson, C. Sas, M. L. Wilson, P. T. Dugas, & I. Shklovski (Eds.), Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1–19). Association for Computing Machinery. https://doi.org/10.1145/3613904.3642048
Korata Software. (2024). Study Tracker: Focussing App (Version 2.4.8) [Mobile app]. Google Play. https://play.google.com/store/apps/details?id=ataberkw.derstakip&hl=en_CA
Kovacs, G., Gregory, D. M., Ma, Z., Wu, Z., Emami, G., Ray, J., & Bernstein, M. S. (2019). Conservation of procrastination: Do productivity interventions save time or just redistribute it? In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1–12). Association for Computing Machinery. https://doi.org/10.1145/3290605.3300560
Lewis, J. R. (2018). The system usability scale: Past, present, and future. International Journal of Human–Computer Interaction, 34(7), 577–590. https://doi.org/10.1080/10447318.2018.1455307
Lewis, J. R., & Sauro, J. (2018). Item benchmarks for the system usability scale. Journal of Usability Studies, 13(3), pp. 158–167
Lukas, C. A., & Berking, M. (2018). Reducing procrastination using a smartphone-based treatment program: A randomized controlled pilot study. Internet Interventions, 12, 83–90. https://doi.org/10.1016/j.invent.2017.07.002
McCloskey, J., & Scielzo, S. A. (2015). Finally!: The development and validation of the academic procrastination scale. Manuscript submitted for publication. https://doi.org/10.13140/RG.2.2.23164.64640
Murad, Maya. (2022). StudyTracker (Beta version) [Mobile app]. Unpublished internal software.
Nguyen, Tien Long. (2024). Habit Hunter: Habit tracker (Version 1.5.0) [Mobile app]. Apple App Store. https://apps.apple.com/us/app/habit-hunter-habit-tracker/id1417258775
Oh, J., & Lee, U. (2015). Exploring UX issues in quantified self technologies. In Proceedings of the 2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU) (pp. 53–59). IEEE. https://doi.org/10.1109/ICMU.2015.7061028
Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive systems design: Key issues, process model, and system features. Communications of the Association for Information Systems, 24(1). https://doi.org/10.17705/1CAIS.02428
Pereira, J., & Díaz, Ó. (2021). Struggling to keep tabs on capstone projects: A chatbot to tackle student procrastination. ACM Transactions on Computing Education, 22(1), Article 4. https://doi.org/10.1145/3469127
Pixo. (2024). Focus Keeper: Pomo Study Timer (Version 2.8.4) [Mobile app]. Apple App Store. https://apps.apple.com/us/app/focus-keeper-timer-planner/id867374917
Qaisar, S., Akhter, N., Masood, A., & Rashid, S. (2017). Problematic mobile phone use, academic procrastination and academic performance of college students. Journal of Educational Research, 20(2), 201–214.
Rahimi, S., & Hall, N. C. (2021). Why are you waiting? Procrastination on academic tasks among undergraduate and graduate students. Innovative Higher Education, 46(6), 759–776. https://doi.org/10.1007/s10755-021-09563-9
Romero, C., Cerezo, R., Espino, J. A., & Bermudez, M. (2016). Using android wear for avoiding procrastination behaviours in MOOCs. In Proceedings of the Third ACM Conference on Learning @ Scale (pp. 193–196). Association for Computing Machinery. https://doi.org/10.1145/2876034.2893412
Rozental, A., Forsell, E., Svensson, A., Andersson, G., & Carlbring, P. (2015). Internet-based cognitive behavior therapy for procrastination: A randomized controlled trial. Journal of Consulting and Clinical Psychology, 83(4), 808–824. https://doi.org/10.1037/ccp0000023
Saplavska, J., & Jerkunkova, A. (2018, May 23). Academic procrastination and anxiety among students. In L. Malinovska & V. Osadcuks (Eds.), Proceedings of the 17th International Scientific Conference Engineering for Rural Development (pp. 23–25). Latvia University of Life Sciences and Technologies. https://doi.org/10.22616/ERDev2018.17.N357
Schraw, G., Wadkins, T., & Olafson, L. (2007). Doing the things we do: A grounded theory of academic procrastination. Journal of Educational Psychology, 99(1), 12–25. https://doi.org/10.1037/0022-0663.99.1.12
Schwabe, A. (2020). Demo of JARET: A.I. powered web app for goal review and time management. In Proceedings of the Seventh ACM Conference on Learning @ Scale (pp. 425–426). Association for Computing Machinery. https://doi.org/10.1145/3386527.3405954
Seekrtech. (2024). Forest—Stay focused, be present (Version 4.79.0) [Mobile app]. Apple App Store. https://apps.apple.com/us/app/forest-focus-for-productivity/id866450515
Seekrtech. (2024). WaterDo: To Do List & Notes (Version 3.9.0) [Mobile app]. Apple App Store. https://apps.apple.com/us/app/waterdo-to-do-list-notes/id1388228852
Steel, P. (2007). The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin, 133(1), 65–94. https://doi.org/10.1037/0033-2909.133.1.65
Stiglbauer, B., Weber, S., & Batinic, B. (2019). Does your health really benefit from using a self-tracking device? Evidence from a longitudinal randomized control trial. Computers in Human Behavior, 94, 131–139. https://doi.org/10.1016/j.chb.2019.01.018
Supermono. (2016). Epic Win—Level-Up Your Life (Version 1.0.17) [Mobile app]. Aptoide. https://epicwin.en.aptoide.com/app
Tabuenca, B., Kalz, M., Drachsler, H., & Specht, M. (2015). Time will tell: The role of mobile learning analytics in self-regulated learning. Computers & Education, 89, 53–74. https://doi.org/10.1016/j.compedu.2015.08.004
Theobald, M., & Bellhäuser, H. (2022). How am I going and where to next? Elaborated online feedback improves university students’ self-regulated learning and performance. The Internet and Higher Education, 55, Article100872. https://doi.org/10.1016/j.iheduc.2022.100872
Tice, D. M., & Baumeister, R. F. (1997). Longitudinal study of procrastination, performance, stress, and health: The costs and benefits of dawdling. Psychological Science, 8(6), 454–458. https://doi.org/10.1111/j.1467-9280.1997.tb00460.x
van Eerde, Q., & Klingsieck, K. B. (2018). Overcoming procrastination? A meta-analysis of intervention studies. Educational Research Review, 25, 73–85. https://doi.org/10.1016/j.edurev.2018.09.002
Velázquez-Iturbide, J. Á., Hernán-Losada, I., & Paredes-Velasco, M. (2017). Evaluating the effect of program visualization on student motivation. IEEE Transactions on Education, 60(3), 238–245. https://doi.org/10.1109/TE.2017.2648781
Wäschle, K., Lachner, A., Stucke, B., Rey, S., Frömmel, C., & Nückles, M. (2014). Effects of visual feedback on medical students’ procrastination within web-based planning and reflection protocols. Computers in Human Behavior, 41, 120–136. https://doi.org/10.1016/j.chb.2014.09.022
Whetware Inc. (2024). TaskHero (Beta version) [Mobile App]. Google Play. https://play.google.com/store/apps/details?id=com.whetware.taskhero&hl=en
Wohn, D. Y., & Lee, M. J. (2020). The effect of tracking and reflecting on study habits on study behavior and grades. In Proceedings of the 2020 IEEE International Symposium on Technology and Society (ISTAS), (pp. 433–441). IEEE. https://doi.org/10.1109/ISTAS50296.2020.9462241
Wolters, C. A. (2003). Understanding procrastination from a self-regulated learning perspective. Journal of Educational Psychology, 95(1), 179–187. https://doi.org/10.1037/0022-0663.95.1.179
Yilmaz, M. B. (2017). The relation between academic procrastination of university students and their assignment and exam performances: The situation in distance and face-to-face learning environments. Journal of Education and Training Studies, 5(9), 146–157. https://eric.ed.gov/?id=EJ1151937
Yockey, R. D. (2016). Validation of the short form of the academic procrastination scale. Psychological Reports, 118(1), 171–179. https://doi.org/10.1177/0033294115626825
Zavaleta Bernuy, A., Zheng, Q. Y., Shaikh, H., Petersen, A., & Williams, J. J. (2021). Investigating the impact of online homework reminders using randomized A/B comparisons. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 921–927). Association for Computing Machinery. https://doi.org/10.1145/3408877.3432427
Zhang, P. (2008). Motivational affordances: Reasons for ICT design and use. Communications in the ACM, 51(11), 145–147. https://doi.org/10.1145/1400214.1400244
Zhao, S., Sahebi, S., & Feyzi Behnagh, R. (2023). Curb your procrastination: A study of academic procrastination behaviors vs. a planning and time management app. In Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp. 124–134). Association for Computing Machinery. https://doi.org/10.1145/3565472.3592953
Zhao, W, Harb, H., Muntaser, M., Bernacki, P., Robinson, J., Perri, J., & Lemus, J. (2023). Design and implementation of a time management self-help mobile app for college students. In 2023 IEEE Integrated STEM Education Conference (ISEC) (pp. 81–88). https://ieeexplore.ieee.org/abstract/document/10402177
Zuckerman, O., & Gal-Oz, A. (2014). Deconstructing gamification: Evaluating the effectiveness of continuous measurement, virtual rewards, and social comparison for promoting physical activity. Personal and Ubiquitous Computing, 18(7), 1705–1719. https://doi.org/10.1007/s00779-014-0783-2
Téléchargements
Publié-e
Numéro
Rubrique
Licence
© Maya Murad, KC Collins 2024
Cette œuvre est sous licence Creative Commons Attribution - Pas d'Utilisation Commerciale 4.0 International.
Droits d’auteur
Les auteurs conservent le droit d'auteur et accordent le droit de la première publication de la revue avec le travail simultanément sous une licence Creative Commons Attribution - Pas d’Utilisation Commerciale 4.0 International (CC-BY-NC 4.0) qui permet aux autres de partager le travail avec une reconnaissance de la paternité de l'œuvre et la publication initiale dans ce journal.