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Achievement Goal Theory at the Crossroads: Old Controversies, Current Challenges, and New Directions
Abstract
Achievement goal theory has been one of the most prominent theories of motivation in educational research for more than 25 years. It has undergone considerable revision during that span, most notably with the distinction between approach and avoidance goals, debate concerning the critical features of performance goals, and the emergence of a multiple goal perspective that emphasizes the positive potential of performance-approach goals alongside mastery goals. This multiple goal perspective has met several criticisms from theorists taking the traditional perspective that emphasizes mastery goals over performance goals. We review these criticisms and the ongoing debate in light of the relevant research. We then spotlight two areas for future research, with the aim of advancing theory development and bridging these perspectives.
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Cites
Building a practically useful theory of goal setting and task motivation: A 35-year odyssey.
Locke, E. A., & Latham, G. P. (2002) · American Psychologist · doi:10.1037/0003-066x.57.9.705 · Cited by 7,766 · cited 1×
“For example, goal-setting theory (Locke & Latham, 2002), motivational intensity theory (Brehm & Self, 1989), social facilitation theory (Zajonc, 1965), and test 12 Although we disagree with Brophy’s call to “move on” from performance goals, our focus on mechanism as a new direction is partially…”
Motivational processes affecting learning.
Dweck, C. S. (1986) · American Psychologist · doi:10.1037/0003-066x.41.10.1040 · Cited by 6,971
A threat in the air: How stereotypes shape intellectual identity and performance
Steele, C. M. (1997) · American Psychologist · doi:10.1037/0003-066x.52.6.613 · Cited by 6,770
The four-phase model of interest development
Hidi, S., & Renninger, K. A. (2006) · Educational Psychologist · doi:10.1207/s15326985ep4102_4 · Cited by 4,702
Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002) · Educational Psychologist · doi:10.1207/s15326985ep3702_4 · Cited by 3,931
A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students
Pintrich, P. R. (2004) · Educational Psychology Review · doi:10.1007/s10648-004-0006-x · Cited by 3,269
Approach and avoidance motivation and achievement goals
Elliot, A. J. (1999) · Educational Psychologist · doi:10.1207/s15326985ep3403_3 · Cited by 3,103
Do Psychosocial and Study Skill Factors Predict College Outcomes? A Meta-Analysis.
Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.2.261 · Cited by 2,479
Pekrun, R., Elliot, A. J., & Maier, M. A. (2009) · Journal of Educational Psychology · doi:10.1037/a0013383 · Cited by 1,255
A meta-analytic examination of the goal orientation nomological net.
Payne, S. C., Youngcourt, S. S., & Beaubien, J. M. (2007) · Journal of Applied Psychology · doi:10.1037/0021-9010.92.1.128 · Cited by 1,242
Cited by
Mind-sets matter: A meta-analytic review of implicit theories and self-regulation.
Burnette, J. L., O'Boyle, E. H., VanEpps, E. M., Pollack, J. M., & Finkel, E. J. (2013) · Psychological Bulletin · doi:10.1037/a0029531 · Cited by 1,367
Mega, C., Ronconi, L., & De Beni, R. (2014) · Journal of Educational Psychology · doi:10.1037/a0033546 · Cited by 1,007
Development of Achievement Motivation and Engagement
Wigfield, A., Eccles, J. S., Fredricks, J. A., Simpkins, S., Roeser, R. W., & Schiefele, U. (2015) · Handbook of Child Psychology and Developmental Science · doi:10.1002/9781118963418.childpsy316 · Cited by 646
Learning analytics to unveil learning strategies in a flipped classroom
Jovanović, J., Gašević, D., Dawson, S., Pardo, A., & Mirriahi, N. (2017) · The Internet and Higher Education · doi:10.1016/j.iheduc.2017.02.001 · Cited by 376
A Framework for Designing Scaffolds That Improve Motivation and Cognition
Belland, B. R., Kim, C., & Hannafin, M. J. (2013) · Educational Psychologist · doi:10.1080/00461520.2013.838920 · Cited by 306
Rahimi, M., & Zhang, L. J. (2019) · Reading and Writing · doi:10.1007/s11145-018-9887-9 · Cited by 138
Self‐reflection, growth goals, and academic outcomes: A qualitative study
Travers, C. J., Morisano, D., & Locke, E. A. (2015) · British Journal of Educational Psychology · doi:10.1111/bjep.12059 · Cited by 129
Interest: A unique affective and cognitive motivational variable that develops
(2022) · Advances in Motivation Science · doi:10.1016/bs.adms.2021.12.004 · Cited by 81
Dijksterhuis, M. G. K., Schuwirth, L. W. T., Braat, D. D. M., Teunissen, P. W., & Scheele, F. (2013) · Medical Teacher · doi:10.3109/0142159x.2012.756576 · Cited by 79
Students’ feedback seeking behaviour in undergraduate education: A scoping review
Leenknecht, M. J. M., & Carless, D. (2023) · Educational Research Review · doi:10.1016/j.edurev.2023.100549 · Cited by 62
Middle school engagement profiles: Implications for motivation and achievement in science
Bae, C. L., & DeBusk-Lane, M. (2019) · Learning and Individual Differences · doi:10.1016/j.lindif.2019.101753 · Cited by 59
Using Value-Added Models to Measure Teacher Effects on Students’ Motivation and Achievement
Ruzek, E. A., Domina, T., Conley, A. M., Duncan, G. J., & Karabenick, S. A. (2015) · The Journal of Early Adolescence · doi:10.1177/0272431614525260 · Cited by 57
Academic Achievement and Failure in University Studies: Motivational and Emotional Factors
Gilar-Corbi, R., Pozo-Rico, T., Castejón, J.-L., Sánchez, T., Sandoval-Palis, I., & Vidal, J. (2020) · Sustainability · doi:10.3390/su12239798 · Cited by 52
Development and validity of the emotion and motivation self-regulation questionnaire (EMSR-Q).
Alonso-Tapia, J., Panadero Calderón, E., & Díaz Ruiz, M. A. (2014) · The Spanish Journal of Psychology · doi:10.1017/sjp.2014.41 · Cited by 42
Yang, J. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.768320 · Cited by 36
Social achievement goals, needs satisfaction, and coping among adolescents
Michou, A., Mouratidis, A., Ersoy, E., & Uğur, H. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.05.028 · Cited by 35
Achievement Goals in CS1: Replication and Extension
Zingaro, D., Craig, M., Porter, L., Becker, B. A., Cao, Y., Conrad, P., Cukierman, D., Hellas, A., Loksa, D., & Thota, N. (2018) · Proceedings of the 49th ACM Technical Symposium on Computer Science Education · doi:10.1145/3159450.3159452 · Cited by 35
Hempel, B., Kiehlbaugh, K., & Blowers, P. (2020) · Education for Chemical Engineers · doi:10.1016/j.ece.2020.07.004 · Cited by 25
Insights on biology student motivations and challenges when reading and analyzing primary literature
Howard, K. N., Stapleton, E. K., Nelms, A. A., Ryan, K. C., & Segura-Totten, M. (2021) · PLOS ONE · doi:10.1371/journal.pone.0251275 · Cited by 23
Achievement motivation and knowledge development during exploratory learning
DeCaro, D. A., DeCaro, M. S., & Rittle-Johnson, B. (2015) · Learning and Individual Differences · doi:10.1016/j.lindif.2014.10.015 · Cited by 20
Experimenting with Model Solutions as a Support Mechanism
Nygren, H., Leinonen, J., Pirttinen, N., Leinonen, A., & Hellas, A. (2019) · Proceedings of the 1st UK & Ireland Computing Education Research Conference on - UKICER · doi:10.1145/3351287.3351288 · Cited by 4
Metadata
- Authors
- Senko, C., Hulleman, C. S., & Harackiewicz, J. M.
- Venue
- Educational Psychologist
- Publisher
- Informa UK Limited
- Published
- 2011-01-24
- Volume
- 46
- Issue
- 1
- Pages
- 26-47
- ISSN
- 0046-1520 (ISSN-L)
- 1532-6985
- OpenAlex
- W1996933197
- Cited by
- 913
- References
- 19
- FWCI
- 63.26
- Type
- journal article
- Language
- en
- Open access
- closed
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