Analyzing the Impact of Video Representation Complexity on Preservice Teacher Noticing of Children’s Thinking
Open accessAbstract
Despite the growing research base on preservice teacher noticing of children’s mathematical thinking in video, few, if any studies consider the complex nature of the video representations themselves. Drawing from cognitive load theory, we developed a rubric to code the complexity of the salient teaching and learning events captured in video, and analyzed the relationship between video complexity and preservice teacher (n = 233) noticing. Results indicate that two categories significantly highlight children’s mathematical thinking and two categories significantly mask children’s mathematical thinking for preservice teachers. We discuss the implications of these results for the design of our instructional platform and other video-based learning environments used in preservice teacher education settings.
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
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.
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?
Videos in which teachers did not interact with groups were more effective in supporting PSTs' noticing skills than videos in which teachers interacted with students by guiding and scaffolding their mathematical activity.
“Videos in which teachers did not interact with groups were also more effective in supporting PSTs ' noticing skills than videos in which teachers interacted with students by guiding and scaffolding their mathematical activity.”
From Prospective K-8 teachers’ noticing of student justifications and generalizations in the context of analyzing written artifacts and video-records (2021) · cites this paper as Superfine and Bragelman (2018)
The Teacher Participation results report higher-level noticing when the teacher did not ask children questions to elicit their mathematical thinking than when the teacher did. The Discussion and Conclusion also notes higher noticing when the teacher was absent. The claim broadens this specific comparison to teacher interaction with groups versus guiding and scaffolding students’ mathematical activity generally, which the paper does not establish. (LLM, conf=0.82)
Experimental — accuracy not yet measuredSuperfine and Bragelman (2018) reported that PSTs learned to notice students' thinking best when videos were selected with attention to their embedded cognitive loads and progressive complexity.
“They reported that PSTs learned to notice students ' thinking best when videos were selected with attention to their embedded cognitive loads and progressive complexity.”
From Prospective K-8 teachers’ noticing of student justifications and generalizations in the context of analyzing written artifacts and video-records (2021) · cites this paper as Superfine and Bragelman (2018)
The Discussion and Conclusion (page unavailable) reports that video complexity affected PSTs’ noticing and recommends selecting and reordering videos by their cognitive-load features to scaffold noticing over time. It presents that sequence as a suggestion for future implementation, not as a tested finding that PSTs learned best from progressively complex videos. (LLM, conf=0.88)
Experimental — accuracy not yet measuredWhat teachers notice and how they make sense of student mathematical thinking might be mediated by the nature of representations used to capture student thinking.
“Goldsmith and Seago (2011) and Superfine and Bragelman (2018) documented that what teachers notice and how they make sense of student mathematical thinking might be mediated by the nature of representations used to capture student thinking.”
From Prospective K-8 teachers’ noticing of student justifications and generalizations in the context of analyzing written artifacts and video-records (2021) · cites this paper as Superfine and Bragelman (2018)
Videos of small groups in which students worked on tasks that evoked multiple solution strategies were more effective than videos that captured individual students' thinking for PSTs' learning to notice student mathematical thinking.
“They reported that videos of small groups in which students worked on tasks that evoked multiple solution strategies were more effective than videos that captured individual students ' thinking.”
From Prospective K-8 teachers’ noticing of student justifications and generalizations in the context of analyzing written artifacts and video-records (2021) · cites this paper as Superfine and Bragelman (2018)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Longitudinal Data Analysis for Discrete and Continuous Outcomes
Zeger, S. L., & Liang, K. (1986) · Biometrics · doi:10.2307/2531248 · Cited by 7,730 · see citing works
Content Knowledge for Teaching: What Makes It Special?
Loewenberg Ball, D., Thames, M. H., & Phelps, G. (2008) · Journal of Teacher Education · doi:10.1177/0022487108324554 · Cited by 5,388 · see citing works
Nine Ways to Reduce Cognitive Load in Multimedia Learning
Mayer, R. E., & Moreno, R. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_6 · Cited by 4,207 · see citing works
Cognitive Load Theory and Instructional Design: Recent Developments
Paas, F., Renkl, A., & Sweller, J. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_1 · Cited by 3,041 · see citing works
Professional Noticing of Children's Mathematical Thinking
Jacobs, V. R., Lamb, L. L. C., & Philipp, R. A. (2010) · Journal for Research in Mathematics Education · doi:10.5951/jresematheduc.41.2.0169 · Cited by 1,433 · see citing works
Effects of Video Club Participation on Teachers' Professional Vision
Sherin, M. G., & van Es, E. A. (2008) · Journal of Teacher Education · doi:10.1177/0022487108328155 · Cited by 1,183 · see citing works
Mathematics teachers’ “learning to notice” in the context of a video club
van Es, E. A., & Sherin, M. G. (2007) · Teaching and Teacher Education · doi:10.1016/j.tate.2006.11.005 · Cited by 1,105 · see citing works
(2011) · Routledge eBooks · doi:10.4324/9780203832714 · Cited by 950 · see citing works
Taking the Load Off a Learner's Mind: Instructional Design for Complex Learning
van Merrienboer, J. J. G., Kirschner, P. A., & Kester, L. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_2 · Cited by 857 · cited 1× · see citing works
“Videos were grouped by scaffold level as each scaffold supported PSTs’ noticing at different levels and would impact intrinsic load of the videos (van Merriënboer et al., 2003).”
MethodTHE SPLIT‐ATTENTION EFFECT AS A FACTOR IN THE DESIGN OF INSTRUCTION
CHANDLER, P., & SWELLER, J. (1992) · British Journal of Educational Psychology · doi:10.1111/j.2044-8279.1992.tb01017.x · Cited by 767 · see citing works
Learning to observe: using video to improve preservice mathematics teachers’ ability to notice
Star, J. R., & Strickland, S. K. (2007) · Journal of Mathematics Teacher Education · doi:10.1007/s10857-007-9063-7 · Cited by 758 · see citing works
Generalized Estimating Equation Models for Correlated Data: A Review with Applications
Zorn, C. (2001) · American Journal of Political Science · doi:10.2307/2669353 · Cited by 694 · see citing works
Using Video to Support Teachers’ Ability to Notice Classroom Interactions
Sherin, M. G., & van Es, E. A. (2005) · The Journal of Technology and Teacher Education · Cited by 681 · see citing works
Evolution of human cognitive architecture
Sweller, J. (2003) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(03)01015-6 · Cited by 511 · see citing works
Using Video in Teacher Education
Brophy, J. (2003) · Advances in research on teaching · doi:10.1016/s1479-3687(2003)10 · Cited by 464 · see citing works
Santagata, R., Zannoni, C., & Stigler, J. W. (2007) · Journal of Mathematics Teacher Education · doi:10.1007/s10857-007-9029-9 · Cited by 442 · see citing works
Promoting Conceptual Thinking in Four Upper-Elementary Mathematics Classrooms
Kazemi, E., & Stipek, D. J. (2001) · The Elementary School Journal · doi:10.1086/499693 · Cited by 345 · see citing works
A FRAMEWORK FOR LEARNING TO NOTICE STUDENT THINKING
van Es, E. A. (2011) · doi:10.4324/9780203832714-21 · Cited by 340 · see citing works
The effects of video on cognitive load and social presence in multimedia-learning
Homer, B. D., Plass, J. L., & Blake, L. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2007.02.009 · Cited by 283 · see citing works
Regression Models for Discrete Longitudinal Responses
Fitzmaurice, G. M., Laird, N. M., & Rotnitzky, A. G. (1993) · Statistical Science · doi:10.1214/ss/1177010899 · Cited by 242 · see citing works
Promoting Conceptual Thinking in Four Upper-Elementary Mathematics Classrooms
Kazemi, E., & Stipek, D. J. (2009) · Journal of Education · doi:10.1177/0022057409189001-209 · Cited by 242 · see citing works
Blomberg, G., Stürmer, K., & Seidel, T. (2011) · Teaching and Teacher Education · doi:10.1016/j.tate.2011.04.008 · Cited by 240 · see citing works
Optimizing cognitive load for learning from computer-based science simulations.
Lee, H., Plass, J. L., & Homer, B. D. (2006) · Journal of Educational Psychology · doi:10.1037/0022-0663.98.4.902 · Cited by 217 · see citing works
Selecting Video Clips to Promote Mathematics Teachers' Discussion of Student Thinking
Sherin, M. G., Linsenmeier, K. A., & van Es, E. A. (2009) · Journal of Teacher Education · doi:10.1177/0022487109336967 · Cited by 181 · see citing works
Rethinking the use of video in teacher education: A holistic approach
Masats, D., & Dooly, M. (2011) · Teaching and Teacher Education · doi:10.1016/j.tate.2011.04.004 · Cited by 167 · see citing works
Learning to Look Beyond the Boundaries of Representation
Hatch, T., & Grossman, P. (2008) · Journal of Teacher Education · doi:10.1177/0022487108328533 · Cited by 135 · see citing works
Kenward, M. G., Lesaffre, E. M. E. H., & Molenberghs, G. (1994) · Biometrics · doi:10.2307/2533434 · Cited by 117 · see citing works
Learning to See Teaching in New Ways
Tekkumru‐Kisa, M., & Stein, M. K. (2014) · American Educational Research Journal · doi:10.3102/0002831214549452 · Cited by 110 · see citing works
Star, J. R., Lynch, K., & Perova, N. (2011) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · doi:10.4324/9780203832714-20 · Cited by 92 · see citing works
The effect of video-based approach on prospective teachers’ ability to analyze mathematics teaching
Alsawaie, O. N., & Alghazo, I. (2009) · Journal of Mathematics Teacher Education · doi:10.1007/s10857-009-9138-8 · Cited by 90 · see citing works
Chamberlin, M. T. (2005) · Journal of Mathematics Teacher Education · doi:10.1007/s10857-005-4770-4 · Cited by 80 · see citing works
Stein, M. K., Engle, R. A., Smith, M. S., et al. (2015) · doi:10.3102/978-0-935302-43-1_29 · Cited by 62 · see citing works
Sharpe, L., Hu, C., Crawford, L. E. D., Gopinathan, S., Khine, M. S., Moo, S. N., & Wong, A. F. L. (2003) · Teaching and Teacher Education · doi:10.1016/s0742-051x(03)00050-7 · Cited by 48 · see citing works
PGEE: An R Package for Analysis of Longitudinal Data with High-Dimensional Covariates
İnan, G., & Wang, L. (2017) · The R Journal · doi:10.32614/rj-2017-030 · Cited by 30 · see citing works
USING STATISTICS EFFECTIVELY IN MATHEMATICS EDUCATION RESEARCH
Scheaffer, R. L., Aliaga, M., Diener‐West, M., et al. (2007) · Cited by 29 · see citing works
[Regression Models for Discrete Longitudinal Responses]: Rejoinder
Fitzmaurice, G. M., Laird, N. M., & Rotnitzky, A. G. (1993) · Statistical Science · doi:10.1214/ss/1177010903 · Cited by 26 · see citing works
Case-based pedagogy for prospective teachers to learn how to teach elementary mathematics in Korea
Jeongsuk, P. (2011) · ZDM · doi:10.1007/s11858-011-0352-3 · Cited by 19 · see citing works
Superfine, A. C., Li, W., Bragelman, J., et al. (2015) · The Journal of Technology and Teacher Education · Cited by 12 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 5
- Ball, D., & Cohen, D. (1999). Developing practice, developing practitioners. In L. Darling-Hammond & G. Sykes (Eds.), Teaching as the learning profession (pp. 3-32). San Francisco, CA: Jossey-Bass Publishers.
- Castro Superfine, A., Fisher, A., Bragelman, J., & Amador, J. (2017). Shifting perspectives on preservice teachers' noticing of children's thinking. In E. Schack, M. Fisher, & J. Wilhem (Eds.), Teacher Noticing: Bridging and Broadening Perspectives, Contexts and Frameworks (pp. 409-426). Springer International Publishing.
- Philipp (Eds.), Mathematics teacher noticing (pp. 117-133). New York: Routledge.
- Star, J., Lynch, K., & Perova, N. (2011). Using video to improve preservice mathematics teachers' abilities to attend to classroom features. In M. G. Sherin, V. Jacobs, & R. Stein, M. K., Engle, R., Smith, M., & Hughes, E. (2015). Orchestrating productive mathematics discussions: Helping teachers learn to better incorporate student thinking (pp. 375-388).
- Stein, M., Smith, M., Henningsen, M., & Silver, E. (2000). Implementing standards-based mathematics instruction. New York, NY: Teachers College Press.
Cited by
Sorted by citations
Magiera, M. T., & Zambak, V. S. (2021) · International Journal of STEM Education · doi:10.1186/s40594-020-00263-y · Cited by 17 · see citing works
- Authors
- Superfine, A., & Bragelman, J.
- Affiliations
- University of Illinois Chicago (US)
- Corresponding author
- Superfine, Alison
- Venue
- EURASIA Journal of Mathematics, Science and Technology Education
- Publisher
- Modestum Publishing Ltd
- Published
- 2018-10-31
- Volume
- 14
- Issue
- 11
- ISSN
- 1305-8215 (ISSN-L)
- 1305-8223
- OpenAlex
- W2898940545
- Cited by
- 22
- References
- 38
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 6 · 2020: 2 · 2018: 2
- FWCI
- 8.11
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Eurasia Journal of Mathematics Science and Technology Education (publishedVersion, cc-by)
- Topics
- Social Sciences › Education › Mathematics Education and Teaching Techniques
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Education › Teacher Education and Leadership Studies
- Keywords
- pre-service teachers, noticing, children's mathematical thinking, cognitive load theory, video-based professional development, mathematics teacher education, instructional design
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