The DOI matches its Crossref record.
Handbook of Self-Regulation
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Items 201–242 of 242
Segar, M., Spruijt-Metz, D., & Nolen-Hoeksema, S. (2006) · Sex Roles · doi:10.1007/s11199-006-9336-5 · Cited by 71
Using trace data to enhance Students' self-regulation: A learning analytics perspective
Ye, D., & Pennisi, S. (2022) · The Internet and Higher Education · doi:10.1016/j.iheduc.2022.100855 · Cited by 69
Tulloch, H., Reida, R., D'Angeloa, M. S., Plotnikoff, R. C., Morrina, L., Beatona, L., Papadakisa, S., & Pipe, A. (2009) · Psychology & Health · doi:10.1080/08870440701805390 · Cited by 67
Martens, M. (2006) · Health Education Research · doi:10.1093/her/cyl082 · Cited by 58
Müller, A., Claes, L., Georgiadou, E., Möllenkamp, M., Voth, E. M., Faber, R. J., Mitchell, J. E., & de Zwaan, M. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2014.01.012 · Cited by 67
de la Fuente, J., Martínez-Vicente, J. M., Santos, F. H., Sander, P., Fadda, S., Karagiannopoulou, E., Boruchovitch, E., & Kauffman, D. F. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.861493 · Cited by 66
Nuutila, K., Tuominen, H., Tapola, A., Vainikainen, M.-P., & Niemivirta, M. (2018) · Learning and Instruction · doi:10.1016/j.learninstruc.2018.04.003 · Cited by 66
Hahn-Markowitz, J., Manor, I., & Maeir, A. (2011) · American Journal of Occupational Therapy · doi:10.5014/ajot.2011.000901 · Cited by 66
Mohatt, G. V., Fok, C. C. T., Henry, D., & Allen, J. (2014) · American Journal of Community Psychology · doi:10.1007/s10464-014-9646-2 · Cited by 59
Classic and modern models of self-regulated learning: integrative and componential analysis
Tinajero, C., Mayo, M. E., Villar, E., & Martínez-López, Z. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1307574 · Cited by 61
Huet, N., Escribe, C., Dupeyrat, C., & Sakdavong, J.-C. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.09.003 · Cited by 59
Goal Orientation, Task Difficulty, and Task Interest: A Multilevel Analysis
Horvath, M., Herleman, H. A., & Lee McKie, R. (2006) · Motivation and Emotion · doi:10.1007/s11031-006-9029-6 · Cited by 56
Perfectionism in Pediatric Anxiety and Depressive Disorders
Affrunti, N. W., & Woodruff-Borden, J. (2014) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-014-0164-4 · Cited by 54
Gurlitt, J., & Renkl, A. (2008) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2008.00277.x · Cited by 54
Technology-Enhanced Professional Learning
Littlejohn, A., & Margaryan, A. (2014) · Springer International Handbooks of Education · doi:10.1007/978-94-017-8902-8_43 · Cited by 52
Brain systems at the intersection of chronic pain and self-regulation
Reddan, M. C., & Wager, T. D. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2018.11.047 · Cited by 46
Sabel, J. L., Dauer, J. T., & Forbes, C. T. (2017) · CBE—Life Sciences Education · doi:10.1187/cbe.16-10-0298 · Cited by 48
Grassinger, R., & Dresel, M. (2017) · Learning and Individual Differences · doi:10.1016/j.lindif.2016.11.009 · Cited by 47
Reliability and Validity Analyses of a Newly Developed Test to Assess Learning Strategy Knowledge
Maag Merki, K., Ramseier, E., & Karlen, Y. (2013) · Journal of Cognitive Education and Psychology · doi:10.1891/1945-8959.12.3.391 · Cited by 43
Teaching Executive Functioning Processes: Promoting Metacognition, Strategy Use, and Effort
Meltzer, L. (2014) · Handbook of Executive Functioning · doi:10.1007/978-1-4614-8106-5_25 · Cited by 44
GP supervisors’ experience in supporting self-regulated learning: a balancing act
Sagasser, M. H., Kramer, A. W. M., van Weel, C., & van der Vleuten, C. P. M. (2015) · Advances in Health Sciences Education · doi:10.1007/s10459-014-9561-1 · Cited by 43
Urbina, S., Villatoro, S., & Salinas, J. (2021) · Sustainability · doi:10.3390/su13137281 · Cited by 43
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
Brief cognitive-behavioural coaching for procrastination: a case series
Karas, D., & Spada, M. M. (2009) · Coaching: An International Journal of Theory, Research and Practice · doi:10.1080/17521880802379700 · Cited by 40
De Clercq, M., Galand, B., & Frenay, M. (2013) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2012.10.003 · Cited by 37
An examination of the effects of argument mapping on students’ memory and comprehension performance
Dwyer, C. P., Hogan, M. J., & Stewart, I. (2013) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2012.12.002 · Cited by 35
Chen, J. (2024) · System · doi:10.1016/j.system.2024.103388 · Cited by 33
Guttersrud, Ø., & Petterson, K. S. (2015) · Public Health Nutrition · doi:10.1017/s1368980014003152 · Cited by 32
Self-affirmation and the self-regulation of health behavior change
Harris, P. R. (2011) · Self and Identity · doi:10.1080/15298868.2010.517963 · Cited by 30
The effects of personality and metacognitive beliefs on cognitive training adherence and performance
Double, K. S., & Birney, D. P. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.04.101 · Cited by 29
Grassinger, R., Scheunpflug, A., Zeinz, H., & Dresel, M. (2018) · High Ability Studies · doi:10.1080/13598139.2018.1459294 · Cited by 27
Greene, J. A., Dellinger, K. R., Tüysüzoğlu, B. B., & Costa, L.-J. (2013) · Springer International Handbooks of Education · doi:10.1007/978-1-4419-5546-3_8 · Cited by 29
Involving Users to Improve the Collaborative Logical Framework
Santos, O. C., & Boticario, J. G. (2014) · The Scientific World Journal · doi:10.1155/2014/893525 · Cited by 25
Genetics and neuroimaging of attention and hypnotizability may elucidate placebo
Raz, A. (2007) · International Journal of Clinical and Experimental Hypnosis · doi:10.1080/00207140701506482 · Cited by 25
Asikainen, H. (2018) · Psychology, Society & Education · doi:10.25115/psye.v10i2.1873 · Cited by 27
Reyes, A. T., Serafica, R., & Sojobi, A. (2020) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2020.09.005 · Cited by 15
Martins, J., Rosário, P., Cunha, J., Carlos Núñez, J., Vallejo, G., & Moreira, T. (2024) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2023.102230 · Cited by 24
Better Neuronal Efficiency After Emotional Competences Training: An fMRI Study
(2014) · Psychologica Belgica · doi:10.5334/pb.av · Cited by 17
Lahza, H. F., Demartini, G., Noroozi, O., Gašević, D., Sadiq, S., & Khosravi, H. (2025) · Computers & Education · doi:10.1016/j.compedu.2025.105260 · Cited by 16
New Insights into the Self-Regulation of Writing Skills in Secondary Vocational Education
Boekaerts, M., & Rozendaal, J. S. (2007) · Zeitschrift für Psychologie / Journal of Psychology · doi:10.1027/0044-3409.215.3.164 · Cited by 9
Non-restricted Access to Model Solutions: A Good Idea?
Nygren, H., Leinonen, J., & Hellas, A. (2019) · Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education · doi:10.1145/3304221.3319768 · Cited by 7
Differential use and effectiveness of practice testing: Who benefits and who engages?
Schwerter, J., Lauermann, F., Brahm, T., & Murayama, K. (2025) · Learning and Individual Differences · doi:10.1016/j.lindif.2025.102761 · Cited by 3
Metadata
- Venue
- Elsevier eBooks
- Publisher
- Elsevier
- Published
- 2000
- OpenAlex
- W1681730134
- Cited by
- 4,409
- References
- 0
- FWCI
- 38.73
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.