The DOI matches its Crossref record; 62 of the 63 references it cites were found in a registry or an index.
Investigating student motivation in the context of a learning analytics intervention during a summer bridge program
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Furthermore, recent studies on the effectiveness of existing dashboards suggest that learner goal orientations (Lonn et al., 2015) and differences in achievement levels (Park & Jo, 2015) need to be carefully considered in the design of any intervention, as the resulting approaches and tools can affect students' interpretations of their data and subsequent academic success.”
From Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation (2020) · cites this paper as Lonn et al., 2015
In the citing paper
“Several researchers argue that showing an aggregated analysis with respect to peer performance is a good approach (Lonn et al., 2015).”
From Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation (2020) · cites this paper as Lonn et al., 2015
Citations
Cites
Intrinsic Motivation and Self-Determination in Human Behavior
Deci, E. L., & Ryan, R. M. (1985) · doi:10.1007/978-1-4899-2271-7 · Cited by 26,772
Leaving College: Rethinking the Causes and Cures of Student Attrition
Bean, J. P., & Tinto, V. (1988) · The Journal of Higher Education · doi:10.2307/1982243 · Cited by 7,408
Student Involvement: A Developmental Theory for Higher Education
Astin, A. W. (2014) · Routledge eBooks · doi:10.4324/9781315051888-15 · Cited by 5,251
A 2 × 2 achievement goal framework.
Elliot, A. J., & McGregor, H. A. (2001) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.80.3.501 · Cited by 3,953
Cognitive Apprenticeship: Teaching the Crafts of Reading, Writing, and Mathematics
Collins, A., Brown, J. S., & Newman, S. E. (2018) · Knowing, Learning, and Instruction · doi:10.4324/9781315044408-14 · Cited by 3,674
Goals: An approach to motivation and achievement.
Elliott, E. S., & Dweck, C. S. (1988) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.54.1.5 · Cited by 3,098
Approach and avoidance achievement goals and intrinsic motivation: A mediational analysis.
Elliot, A. J., & Harackiewicz, J. M. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.70.3.461 · Cited by 2,531
(2013) · Cited by 1,951
(2006) · US Department of Education · Cited by 1,586
(2005) · Jossey-Bass, An Imprint of Wiley · Cited by 1,462
Flagged first, then by citations
1 of the 63 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Fitts, J. D. (1989). A comparison of locus of control and achievement among remedial summer bridge and nonbridge students in community colleges in New Jersey (Unpublished doctoral dissertation). Rutgers University, New Brunswick, NJ.
- Howley, I., & Rosé, C. P. (2014). Undergraduate attitudes toward help-seeking. In Proceedings of the 11th international conference of the learning sciences (pp. 1561–2562). Boulder, CO: International Society of the Learning Sciences.
- Lepper, 1981, Intrinsic and extrinsic motivation in children: Detrimental effects of superfluous social controls, Vol. 14, 155
Cited by
Sorted by citations
Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.01.007 · Cited by 564
Matcha, W., Uzir, N. A., Gašević, D., & Pardo, A. (2019) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2019.2916802 · Cited by 472
Visual learning analytics of educational data: A systematic literature review and research agenda
Vieira, C., Parsons, P., & Byrd, V. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.03.018 · Cited by 316
Sedrakyan, G., Malmberg, J., Verbert, K., Järvelä, S., & Kirschner, P. A. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.004 · Cited by 283
Jivet, I., Scheffel, M., Specht, M. M., & Drachsler, H. (2018) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3170358.3170421 · Cited by 310
The efficacy of learning analytics interventions in higher education: a systematic review.
Larrabee Sønderlund, A., Hughes, E., & Smith, J. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12720 · Cited by 265
Zhu, Y., Zhang, J. H., Au, W., & Yates, G. (2020) · Educational Technology Research and Development · doi:10.1007/s11423-020-09753-w · Cited by 286
Awareness Is Not Enough: Pitfalls of Learning Analytics Dashboards in the Educational Practice
Jivet, I., Scheffel, M., Drachsler, H., & Specht, M. M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-66610-5_7 · Cited by 251
Utilizing early engagement and machine learning to predict student outcomes
Gray, C., & Perkins, D. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.12.006 · Cited by 215
Prediction of students’ early dropout based on their interaction logs in online learning environment
Mubarak, A. A., Cao, H., & Zhang, W. (2022) · Interactive Learning Environments · doi:10.1080/10494820.2020.1727529 · Cited by 170
Lu, O. H. T., Huang, J. C. H., Huang, A. Y. Q., & Yang, S. J. H. (2017) · Interactive Learning Environments · doi:10.1080/10494820.2016.1278391 · Cited by 167
A review of learning analytics intervention in higher education (2011–2018)
Wong, B. T. M., & Li, K. C. (2019) · Journal of Computers in Education · doi:10.1007/s40692-019-00143-7 · Cited by 156
LADA: A learning analytics dashboard for academic advising
Gutiérrez, F., Seipp, K., Ochoa, X., Chiluiza, K., Laet, T. D., & Verbert, K. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2018.12.004 · Cited by 132
Tsai, Y., Perrotta, C., & Gašević, D. (2019) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2019.1676396 · Cited by 148
OnTask: Delivering Data-Informed, Personalized Learning Support Actions
Pardo, A., Bartimote-Aufflick, K., Shum, S. B., Dawson, S., Gao, J. P., Gašević, D., Leichtweis, S., Liu, D., Martínez‐Maldonado, R., Mirriahi, N., et al. (2018) · Journal of Learning Analytics · doi:10.18608/jla.2018.53.15 · Cited by 140
Learning analytics dashboards: the past, the present and the future
Verbert, K., Ochoa, X., De Croon, R., Dourado, R. A., & De Laet, T. (2020) · Proceedings of the Tenth International Conference on Learning Analytics & Knowledge · doi:10.1145/3375462.3375504 · Cited by 129
From Data to Insights: A Layered Storytelling Approach for Multimodal Learning Analytics
Martinez-Maldonado, R., Echeverria, V., Fernandez Nieto, G., & Buckingham Shum, S. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376148 · Cited by 123
Ethical issues in learning analytics: a review of the field
Tzimas, D., & Demetriadis, S. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-09977-4 · Cited by 119
Sedrakyan, G., Mannens, E., & Verbert, K. (2018) · Journal of Computer Languages · doi:10.1016/j.jvlc.2018.11.002 · Cited by 114
Aguilar, S. J., Karabenick, S. A., Teasley, S. D., & Baek, C. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.104085 · Cited by 109
Self-citationKew, S. N., & Tasir, Z. (2021) · Technology Knowledge and Learning · doi:10.1007/s10758-021-09541-2 · Cited by 116
The effectiveness of learning analytics for identifying at-risk students in higher education
Foster, E., & Siddle, R. (2019) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2019.1682118 · Cited by 92
Educational Theories and Learning Analytics: From Data to Knowledge
Wong, J., Baars, M., de Koning, B. B., van der Zee, T., Davis, D., Khalil, M., Houben, G., & PAAS, F. G. W. C. (2019) · Springer eBooks · doi:10.1007/978-3-319-64792-0_1 · Cited by 90
Elements of Success: Supporting at-risk student resilience through learning analytics
Russell, J. M., Smith, A. M., & Larsen, R. G. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.103890 · Cited by 95
Utilizing Learning Analytics to Support Study Success
Wong, J., van der Zee, T., Davis, D., Khalil, M., PAAS, F. G. W. C., Baars, M., de Koning, B. B., & Houben, G. (2019) · Springer eBooks · doi:10.1007/978-3-319-64792-0 · Cited by 85
The importance of students’ motivational dispositions for designing learning analytics
Schumacher, C., & Ifenthaler, D. (2018) · Journal of Computing in Higher Education · doi:10.1007/s12528-018-9188-y · Cited by 95
Gašević, D., Greiff, S., & Shaffer, D. W. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107304 · Cited by 82
Learning Analytics: at the Nexus of Big Data, Digital Innovation, and Social Justice in Education
Aguilar, S. J. (2017) · TechTrends · doi:10.1007/s11528-017-0226-9 · Cited by 80
Self-citationIt's My Data! Tensions Among Stakeholders of a Learning Analytics Dashboard
Sun, K., Mhaidli, A. H., Watel, S., Brooks, C. A., & Schaub, F. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300824 · Cited by 77
Wang, D., & Han, H. (2021) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12502 · Cited by 77
Stojanov, A., & Daniel, B. K. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12033-8 · Cited by 119
RETRACTED: The impact of generative AI on essay revisions and student engagement
Lo, N., Wong, A., & Chan, S. (2025) · Computers and Education Open · doi:10.1016/j.caeo.2025.100249 · Cited by 85
RetractedFoster, C., & Francis, P. (2020) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2019.1696945 · Cited by 55
Kia, F. S., Teasley, S. D., Hatala, M., Karabenick, S. A., & Kay, M. (2020) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3375462.3375472 · Cited by 56
Self-citationKhosravi, H., Shabaninejad, S., Bakharia, A., Sadiq, S. W., Indulska, M., & Gašević, D. (2021) · Journal of Learning Analytics · doi:10.18608/jla.2021.7279 · Cited by 52
Kew, S. N., & Tasir, Z. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10904-0 · Cited by 49
Valle, N., Antonenko, P., do Valle, D. R., Sommer, M., Huggins‐Manley, A. C., Dawson, K., Kim, D., & Baiser, B. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-09998-z · Cited by 57
Teacher and Student Facing Learning Analytics
van Leeuwen, A., Teasley, S. D., & Wise, A. F. (2022) · Solar eBooks · doi:10.18608/hla22.013 · Cited by 53
Self-citationKnobbout, J., & van der Stappen, E. (2020) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2020.2999970 · Cited by 46
Elfeky, A. I. M., & Elbyaly, M. Y. H. (2021) · Interactive Learning Environments · doi:10.1080/10494820.2021.1943688 · Cited by 54
Kew, S. N., & Tasir, Z. (2017) · International Conference on Learning and Teaching in Computing and Engineering (LaTICE) · doi:10.1109/latice.2017.18 · Cited by 43
Improving Early Warning Systems with Categorized Course Resource Usage
Waddington, R. J., Nam, S., Lonn, S., & Teasley, S. D. (2016) · Journal of Learning Analytics · doi:10.18608/jla.2016.33.13 · Cited by 46
Self-citationArchitecting Analytics Across Multiple E-Learning Systems to Enhance Learning Design
Mangaroska, K., Vesin, B., Kostakos, V., Brusilovsky, P. L., & Giannakos, M. N. (2021) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2021.3072159 · Cited by 40
Alalawi, K., Athauda, R., & Chiong, R. (2024) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00429-7 · Cited by 64
Scheffel, M., Drachsler, H., Toisoul, C., Ternier, S., & Specht, M. M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-66610-5_15 · Cited by 37
A Visual Dashboard to Track Learning Analytics for Educational Cloud Computing
Naranjo, D. M., Prieto, J. R. F., Moltó, G., & Calatrava, A. (2019) · Sensors · doi:10.3390/s19132952 · Cited by 33
Four paradigms in learning analytics: Why paradigm convergence matters
Baker, R. S., Gašević, D., & Karumbaiah, S. (2021) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2021.100021 · Cited by 48
Supporting Student Engagement Through Explorable Visual Narratives
Yousuf, B., & Conlan, O. (2017) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2017.2722416 · Cited by 31
Learning Analytics Lens: Improving Quality of Higher Education
Hooda, M. (2020) · International Journal of Emerging Trends in Engineering Research · doi:10.30534/ijeter/2020/24852020 · Cited by 30
Şahi̇n, M., & Yurdugül, H. (2019) · Smart Learning Environments · doi:10.1186/s40561-019-0100-7 · Cited by 30
Use of Learning Analytics Data in Health Care–Related Educational Disciplines: Systematic Review
Chan, A. K., Botelho, M. G., & Lam, O. L. (2018) · Journal of Medical Internet Research · doi:10.2196/11241 · Cited by 30
Gupta, R. K., Shukla, S., Rajan, A. T., & Aravind, S. (2022) · International Journal for Research Publication and Seminars · doi:10.36676/jrps.v11.i4.1489 · Cited by 29
Unfolding self‐regulated learning profiles of students: A longitudinal study
Esnaashari, S., Gardner, L. A., Arthanari, T. S., & Rehm, M. (2023) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12830 · Cited by 35
Contreras, L. E., Fuentes, H. J., & Rodríguez, J. I. (2020) · Formación universitaria · doi:10.4067/s0718-50062020000500233 · Cited by 27
Lai, C., Su, Y.-S., & Ding, T.-J. (2017) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.12973/eurasia.2017.01058a · Cited by 26
Widget, Widget on the Wall, Am I Performing Well at All?
Scheffel, M., Drachsler, H., de Kraker, J., Kreijns, K., Slootmaker, A., & Specht, M. M. (2016) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2016.2622268 · Cited by 25
Open Learner Models Working in Symbiosis With Self-Regulating Learners: A Research Agenda
Winne, P. H. (2020) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-020-00212-4 · Cited by 30
(2017) · NORA - Norwegian Open Research Archives · Cited by 25
Early Identification of At-Risk Students Using Iterative Logistic Regression
Zhang, L., & Rangwala, H. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-93843-1_45 · Cited by 24
Utamachant, P., Anutariya, C., & Pongnumkul, S. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00257-7 · Cited by 23
Ahammed, F., & Smith, E. (2019) · Education Sciences · doi:10.3390/educsci9030245 · Cited by 21
Learning Analytics Contribution in Education and Child Development: A Review on Learning Analytics
Agus, R., & Samuri, S. M. (2018) · Asian Journal of Assessment in Teaching and Learning · doi:10.37134/ajatel.vol8.4.2018 · Cited by 25
Aguilar, S. J. (2017) · Journal of Research on Technology in Education · doi:10.1080/15391523.2017.1401498 · Cited by 20
Self-citationSung, G., Guillain, L. V., & Schneider, B. (2025) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00455-5 · Cited by 27
Hall, M. M., Worsham, R. E., & Reavis, G. (2021) · Community College Review · doi:10.1177/0091552120982030 · Cited by 19
Harris, L. R., Wyatt‐Smith, C., & Adie, L. E. (2020) · Teachers and Teaching · doi:10.1080/13540602.2020.1739018 · Cited by 17
Profiling Students’ Self-Regulation With Learning Analytics: A Proof of Concept
Liz-Domínguez, M., Nistal, M. L., Rodríguez, M. C., & Mikic-Fonte, F. A. (2022) · IEEE Access · doi:10.1109/access.2022.3187732 · Cited by 19
Learning Analytics Intervention: A Review of Case Studies
Wong, B. T. M., & Li, K. C. (2018) · International Symposium on Educational Technology · doi:10.1109/iset.2018.00047 · Cited by 16
Liu, Y., Wang, W., & Xu, E. (2025) · SAGE Open · doi:10.1177/21582440251336707 · Cited by 27
Tecnología y analítica del aprendizaje: una revisión a la literatura
Bravo, L. E. C., Bermúdez, G. M. T., & Molano, J. I. R. (2021) · Revista Científica · doi:10.14483/23448350.17547 · Cited by 15
User-Centered Design for a Student-Facing Dashboard Grounded in Learning Theory
Teasley, S. D., Kay, M., Elkins, S., & Hammond, J. (2021) · Advances in analytics for learning and teaching · doi:10.1007/978-3-030-81222-5_9 · Cited by 15
Self-citationMotivated Information Seeking and Graph Comprehension Among College Students
Aguilar, S. J., & Baek, C. (2019) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3303772.3303805 · Cited by 15
Self-citationWang, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-19159-4 · Cited by 14
Sedrakyan, G., Järvelä, S., & Kirschner, P. A. (2016) · Lirias · Cited by 14
Widget, widget as you lead, I am performing well indeed!
Scheffel, M., Drachsler, H., Kreijns, K., de Kraker, J., & Specht, M. M. (2017) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3027385.3027428 · Cited by 13
The review of educational robotics research and the need for real-world interaction analysis
Hong, N. W. W., Chew, E., & Sze-Meng, J. W. (2016) · International Conference on Control, Automation, Robotics and Vision (ICARCV) · doi:10.1109/icarcv.2016.7838707 · Cited by 12
Gong, L., & Liu, Y. (2019) · International Conference on Information and Education Technology (ICIET) · doi:10.1145/3323771.3323825 · Cited by 12
Development of Open Textbooks Learning Analytics System
Prasad, D., Totaram, R., & Usagawa, T. (2016) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v17i5.2541 · Cited by 11
Learner-facing learning analytic – Feedback and motivation: A critique
Maag, A., Withana, C. P., Budhathoki, S., Alsadoon, A., & Vo, T. H. (2021) · Learning and Motivation · doi:10.1016/j.lmot.2021.101764 · Cited by 15
Figueroa-Cañas, J., & Vinuesa, T. S. (2021) · Open Learning The Journal of Open Distance and e-Learning · doi:10.1080/02680513.2021.1971963 · Cited by 11
A Landscape of Learning Analytics: An Exercise to Highlight the Nature of an Emergent Field
Peña‐Ayala, A., Cárdenas-Robledo, L. A., & Sossa, H. (2017) · Studies in systems, decision and control · doi:10.1007/978-3-319-52977-6_3 · Cited by 11
Matuk, C. F., Tissenbaum, M., & Schneider, B. (2019) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-019-09310-5 · Cited by 11
Ezin, C. C., & Yılmaz, R. (2022) · Universal Access in the Information Society · doi:10.1007/s10209-022-00905-8 · Cited by 12
Supporting Learners in a Crisis Context with Smart Self-Assessment
Papamitsiou, Z., Lunde, M., Westermoen, J., & Giannakos, M. N. (2021) · Lecture Notes in Educational Technology · doi:10.1007/978-981-15-7869-4_14 · Cited by 9
Silvola, A., Sjoblom, A. M., Näykki, P., Gedrimiene, E., & Muukkonen, H. (2023) · Frontline Learning Research · doi:10.14786/flr.v11i2.1277 · Cited by 13
Learning Analytics in Education for the Twenty-First Century
Witte, K. D., & Chénier, M.-A. (2022) · Springer eBooks · doi:10.1007/978-3-031-16624-2_16 · Cited by 13
Linking Assessment and Learning Analytics to Support Learning Processes in Higher Education
Schumacher, C. (2019) · Springer eBooks · doi:10.1007/978-3-319-17727-4_166-1 · Cited by 9
Hu, Y.-H., Liao, B.-K., & Hsieh, C.-L. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2023.2277741 · Cited by 11
Papamitsiou, Z. K., & Economides, A. A. (2020) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12472 · Cited by 7
A Real-Time Predictive Model for Identifying Course Dropout in Online Higher Education
Bañeres, D., Rodríguez, M. E., & Guerrero‐Roldán, A. (2023) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2023.3267275 · Cited by 12
Kleimola, R., López‐Pernas, S., Väisänen, S., Saqr, M., Sointu, E. T., & Hirsto, L. (2023) · Empirical research in vocational education and training · doi:10.1186/s40461-023-00150-0 · Cited by 7
Fostering Learners’ Performance with On-demand Metacognitive Feedback
Papamitsiou, Z. K., Economides, A. A., & Giannakos, M. N. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-29736-7_32 · Cited by 7
CORBU, E. C., & Edelhauser, E. (2021) · Sensors · doi:10.3390/s21237998 · Cited by 7
Experimental Studies in Learning Technology and Child–Computer Interaction
Giannakos, M. N. (2022) · Springer briefs in educational communications and technology · doi:10.1007/978-3-031-14350-2 · Cited by 9
Bassen, J., Howley, I. K., Fast, E., Mitchell, J. C., & Thille, C. (2018) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/3231644.3231669 · Cited by 6
Yousuf, B., Staikopoulos, A., & Conlan, O. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-98572-5_11 · Cited by 6
Investigating the Effectiveness of Visual Learning Analytics in Active Video Watching
Mohammadhassan, N., & Mitrović, A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-11644-5_11 · Cited by 6
Lopez, C. E., & Tucker, C. S. (2024) · Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) · doi:10.18260/1-2-1153-33757 · Cited by 7
An Online Web-based Adaptive Tutoring System for University Exit Exam on IT Literacy
Wongwatkit, C. (2019) · International Conference on Advanced Communication Technology · doi:10.23919/icact.2019.8701994 · Cited by 6
From Big Data to Learning Analytics for a personalized learning experience
Dipace, A., Loperfido, F. F., & Scarinci, A. (2018) · Research on Education and Media · doi:10.1515/rem-2018-0009 · Cited by 5
Metadata
- Authors
- Lonn, S., Aguilar, S. J., & Teasley, S. D.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Lonn, Steven
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 47
- Pages
- 90-97
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W1981210033
- Cited by
- 152
- References
- 63
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 7 · 2023: 14 · 2022: 16 · 2021: 17 · 2020: 22 · 2019: 21 · 2018: 19 · 2017: 12 · 2016: 7
- FWCI
- 9.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Education › Higher Education Research Studies
- Social Sciences › Psychology › Developmental and Educational Psychology › Education, Achievement, and Giftedness
- Keywords
- student motivation, summer bridge programs, mastery orientation, academic advising, student retention, at-risk students, high-impact practices
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