Abstract
This paper summarizes three studies with a digital goal-setting intervention for higher education based on hierarchical goal systems (HGS). As a theoretical background, we cover organizational, motivational, and educational psychology findings related to goals, self-regulated learning, and goal systems. Subsequently, we introduce hierarchical goal systems conceptually and present the concrete implementation of the digital HGS intervention and its essential functions. Next, three formative studies with their methods, results, and implications are summarized. We designed the studies to answer the following research questions: which visualization type is most suitable to represent HGS and to function as a visual metaphor in a graphical user interface? Do visualization preferences and performance indicators depend on personality traits? How can priming be used to lead students to personally meaningful educational goals? The results show overall high preference and performance scores for the dendrogram visualization, low scores for the treemap visualization, and heterogeneous scores for the circle packing and the sunburst. These findings are found to be robust over the “big five” or “OCEAN” (openness, conscientiousness, extraversion, agreeableness, and neuroticism) personality traits (Goldberg, J Pers Soc Psychol 59(6):1216–1229, 1990). The effects of priming tasks on the characteristics of subsequently formulated goals are relatively low, as we measured small effects with rather low significance in 3 out of 32 factors, explainable by alpha error inflation. The chapter concludes with an outlook on the benefits between students and researchers in the upcoming field study with the digital goal-setting intervention.
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References
Albert, W., & Tullis, T. (2008). Performance metrics. In Measuring the user experience: Collecting, analyzing, and presenting usability metrics (Interactive technologies) (1st ed., p. 63). Morgan Kaufmann.
Bourgin, D., Lieder, F., Reichman, D., Talmon, N., & Griffiths, T. L. (2017). The structure of goal systems predicts human performance. In Proceedings of the 39th annual meeting of the cognitive science society (pp. 1660–1665).
Burton, C. M. (2008). Gut feelings and goal pursuit: A path to self-concordance. University of Missouri-Columbia.
Brooke, J. (1996). SUS: A quick and dirty usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, & I. L. McClelland (Eds.), Usability evaluation in industry. Taylor & Francis.
Cheung, E. (2004). Goal setting as motivational tool in student’s self-regulated learning. Educational Research Quarterly, 27(3), 3–9.
Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior, intrinsic motivation and self-determination in human behavior. https://doi.org/10.1007/978-1-4899-2271-7
Ryan, R. M., & Deci, E. L. (Eds.). (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Press. https://doi.org/10.1521/978.14625/28806
Goldberg, L. R. (1990). Personality processes and individual differences – An alternative “Description of Personality”: The big-five factor structure. Journal of Personality and Social Psychology, 59(6), 1216–1229.
Iwama, G., Wirzberger, M., & Lieder, F. (2019, July). The Goal Characteristics (GC) questionnaire: A comprehensive measure for goals’ content, attainability, interestingness, and usefulness. https://doi.org/10.13140/RG.2.2.24237.84961
Iwama, G. Y., Weber, F., Prentice, M., & Lieder, F. (2021). Development and validation of a goal characteristics questionnaire. OSF Preprints.
Kung, F. Y. H., & Scholer, A. A. (2018). A network model of goals boosts convergent creativity performance. Frontiers in Psychology, 9(OCT), 1–12. https://doi.org/10.3389/fpsyg.2018.01910
Kung, F. Y. H., & Scholer, A. A. (2020). The pursuit of multiple goals. Social and Personality Psychology Compass, 14(1), 1–14. https://doi.org/10.1111/spc3.12509
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
Locke, E. A., & Latham, G. P. (2019). The development of goal-setting theory: A half-century retrospective. Motivation Science, 5(2). https://doi.org/10.1037/mot0000127
Locke, E. A., & Latham, G. P. (1990). A theory of goal setting and task performance. Prentice-Hall.
Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57(9), 705–717. https://doi.org/10.1037/0003-066X.57.9.705
Louro, M. J., Pieters, R., & Zeelenberg, M. (2007). Dynamics of multiple-goal pursuit. Journal of Personality and Social Psychology, 93(2). https://doi.org/10.1037/0022-3514.93.2.174
Neal, A., Ballard, T., & Vancouver, J. B. (2017). Dynamic self-regulation and multiple-goal pursuit. Annual Review of Organizational Psychology and Organizational Behavior, 4, 401. https://doi.org/10.1146/annurev-orgpsych-032516-113156
McCrae, R. R., & Costa, P. T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social Psychology, 52(1), 81–90. https://doi.org/10.1037/0022-3514.52.1.81
Morisano, D. (2013). Goal setting in the academic arena. In E. A. Locke & G. P. Latham (Eds.), New developments in goal setting and task performance (pp. 495–506). Routledge/Taylor & Francis Group.
Ramsey, P. H. (1989). Critical values for Spearman’s rank order correlation. Journal of Educational Statistics, 14(3), 245–253. https://doi.org/10.3102/10769986014003245
Satow, L. (2020). B5t® Big-Five-Persönlichkeitstest: Test- und Skalendokumentation. https://www.drsatow.de/tests/persoenlichkeitstest/
Schippers, M. C., et al. (2020). Writing about personal goals and plans regardless of goal type boosts academic performance. In Contemporary educational psychology. Elsevier. https://doi.org/10.1016/j.cedpsych.2019.101823
Sheldon, K. M. (2014). Becoming oneself: The central role of self-concordant goal selection. Personality and Social Psychology Review, 18(4), 349–365.
Sheldon, K. M., Osin, E. N., Gordeeva, T. O., Suchkov, D. D., & Sychev, O. A. (2017). Evaluating the dimensionality of self-determination theory’s relative autonomy continuum. Personality and Social Psychology Bulletin, 43(9), 1215–1238. https://doi.org/10.1177/0146167217711915
Vancouver, J. B., & Austin, J. T. (1996). Goal constructs in psychology: Structure, process, and content. Psychological Bulletin, 120(3), 338–375.
Vansteenkiste, M., et al. (2004). Motivating learning, performance, and persistence: The synergistic effects of intrinsic goal contents and autonomy-supportive contexts. Journal of Personality and Social Psychology, 87(2), 246–260. https://doi.org/10.1037/0022-3514.87.2.246
Vlachogianni, P., & Tselios, N. (2021). Perceived usability evaluation of educational technology using the System Usability Scale (SUS): A systematic review. Journal of Research on Technology in Education, 54(3), 392–409. https://doi.org/10.1080/15391523.2020.1867938
Weber, F. (2019). Goal trees as structuring element in a digital data-driven study assistant. In D. G. Sampson, D. Ifenthaler, I. Pedro, & M. L. Mascia (Eds.), 16th international conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2019) (pp. 413–416). IADIS Press. https://doi.org/10.33965/celda2019_201911c053
Weber, F., Schrumpf, J., & Thelen, T. (2021a). Development of a digital goal setting companion for higher education. In A. Kienle, A. Harrer, J. M. Haake, & A. Lingnau (Eds.), DeLFI 2021 – Die 19. Fachtagung Bildungstechnologien (pp. 109–114). Gesellschaft für Informatik e.V. Retrieved from https://dl.gi.de/handle/20.500.12116/36996
Weber, F., Kernos, J., Grenz, M., & Lee, J. (2021b). Towards a web-based hierarchical goal setting intervention for higher education. In D. G. Sampson, D. Ifenthaler, & P. Isaías (Eds.), 18th international conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2021. IADIS Press.
Werner, K. M., et al. (2016). Some goals just feel easier: Self-concordance leads to goal progress through subjective ease, not effort. Personality and Individual Differences, 96. https://doi.org/10.1016/j.paid.2016.03.002
Zimmerman, B. J. (1989). Models of self-regulated learning and academic achievement (pp. 1–25). https://doi.org/10.1007/978-1-4612-3618-4_1
Zimmerman, B. J. (1990). Self-regulating academic learning and achievement: The emergence of a social cognitive perspective. Educational Psychology Review, 2(2), 173–201.
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The authors acknowledge the financial support from the Federal Ministry of Education and Research of Germany for Siddata (project number 16DHB2124).
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Weber, F., Grenz, M., Kernos, J., Lee, J. (2023). The GoalTrees Hierarchical Goal-Setting Intervention for Higher Education. In: Ifenthaler, D., Sampson, D.G., Isaías, P. (eds) Open and Inclusive Educational Practice in the Digital World. Cognition and Exploratory Learning in the Digital Age. Springer, Cham. https://doi.org/10.1007/978-3-031-18512-0_4
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