The DOI matches its Crossref record; 24 of the 25 references it cites were found in a registry or an index.
Evidence for Cognitive Load Theory
Abstract
Dixon (1991) and Goldman (1991) have provided thoughtful commentaries on Chandler and Sweller (1991). The general issue they raise concerns the scientific procedures we should use when conducting research in cognition and instruction. It is an issue of great importance, and we welcome the opportunity provided by their criticisms to discuss the techniques we use. To clarify the findings based on cognitive load theory, we begin by indicating the essential characteristics of a theory concerned with cognition and instruction, followed by a brief history of cognitive load theory to make clear that it has these characteristics. These statements will then be used to address specific comments made by Goldman and Dixon.
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
“Cognitive load theory, which was introduced by John Sweller, is rooted in cognitive psychology and provides a framework for understanding how the human cognitive architecture interacts with information presented during learning [15, 16].”
From Teaching a single manual therapy technique at a time reduces cognitive load in physiotherapy students: a randomized controlled educational study (2025) · cites this paper as [16]
Citations
Cites
Cognitive Load During Problem Solving: Effects on Learning
Sweller, J. (1988) · Cognitive Science · doi:10.1016/0364-0213(88)90023-7 · Cited by 11,048
Self-citationAnderson, J. R. (2013) · doi:10.4324/9781315799438 · Cited by 6,761
Cognitive Load Theory and the Format of Instruction
Chandler, P., & Sweller, J. (1991) · Cognition and Instruction · doi:10.1207/s1532690xci0804_2 · Cited by 2,894
Self-citationAdvances in the Psychology of Human Intelligence
Sternberg, R. J. (2014) · Psychology Press eBooks · doi:10.4324/9781315808246 · Cited by 1,771
Michelene, T. H., Glaser, R. A., & Rees, E. T. (1981) · Defense Technical Information Center (DTIC) · Cited by 1,529
The Use of Worked Examples as a Substitute for Problem Solving in Learning Algebra
Sweller, J., & Cooper, G. A. (1985) · Cognition and Instruction · doi:10.1207/s1532690xci0201_3 · Cited by 1,214
Self-citationEffects of schema acquisition and rule automation on mathematical problem-solving transfer.
Cooper, G., & Sweller, J. (1987) · Journal of Educational Psychology · doi:10.1037/0022-0663.79.4.347 · Cited by 688
Self-citationCognitive load as a factor in the structuring of technical material.
Sweller, J., Chandler, P., Tierney, P., & Cooper, M. (1990) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.119.2.176 · Cited by 629
Self-citation(1981) · Defense Technical Information Center (DTIC) · Cited by 622
Models of Competence in Solving Physics Problems*
Larkin, J. H., McDermott, J. P., Simon, D. P., & Simon, H. A. (1980) · Cognitive Science · doi:10.1207/s15516709cog0404_1 · Cited by 531
Research works printed but not linked: 8
- 10.1037//0022-0663.79.4.347 · DOI · Paper page
- 10.1037//0278-7393.8.3.252 · DOI
- 10.1037//0022-0663.77.3.272 · DOI · Paper page
- 10.1207/s15516709cog1202_4 · DOI · Paper page
- 10.1037//0096-3445.119.2.176 · DOI · Paper page
- 10.1037//0278-7393.8.5.463 · DOI · Paper page
- 10.1037//0096-3445.112.4.639 · DOI · Paper page
- 10.1037//0022-0663.80.4.424 · DOI · Paper page
Cited by
Sorted by citations
Why Some Material Is Difficult to Learn
Sweller, J., & Chandler, P. (1994) · Cognition and Instruction · doi:10.1207/s1532690xci1203_1 · Cited by 1,455
Self-citationCognitive load theory, educational research, and instructional design: some food for thought
de Jong, T. (2010) · Instructional Science · doi:10.1007/s11251-009-9110-0 · Cited by 1,180
“This can be remedied by presenting material in an integrated way (e.g., Cerpa et al. 1996; Chandler and Sweller 1992; Sweller and Chandler 1991).”
BackgroundA Reconsideration of Cognitive Load Theory
Schnotz, W., & Kürschner, C. (2007) · Educational Psychology Review · doi:10.1007/s10648-007-9053-4 · Cited by 755
Klepsch, M., Schmitz, F., & Seufert, T. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01997 · Cited by 601
When two sensory modes are better than one.
Tindall-Ford, S., Chandler, P., & Sweller, J. (1997) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.3.4.257 · Cited by 559
Self-citationKapur, M. (2016) · Educational Psychologist · doi:10.1080/00461520.2016.1155457 · Cited by 523
- Self-citation
Productive Failure in Learning Math
Kapur, M. (2014) · Cognitive Science · doi:10.1111/cogs.12107 · Cited by 453
Cierniak, G., Scheiter, K., & Gerjets, P. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.020 · Cited by 412
Turel, O., & Qahri‐Saremi, H. (2016) · Journal of Management Information Systems · doi:10.1080/07421222.2016.1267529 · Cited by 368
Cognitive Load Theory for the Design of Medical Simulations
Fraser, K. L., Ayres, P., & Sweller, J. (2015) · Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare · doi:10.1097/sih.0000000000000097 · Cited by 306
Self-citationGoal orientation and task demand effects on motivation, affect, and performance.
Steele‐Johnson, D., Beauregard, R. S., Hoover, P. B., & Schmidt, A. M. (2000) · Journal of Applied Psychology · doi:10.1037/0021-9010.85.5.724 · Cited by 304
The Redundancy Principle in Multimedia Learning
Kalyuga, S., & Sweller, J. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139547369.013 · Cited by 309
Self-citationWittwer, J., & Renkl, A. (2008) · Educational Psychologist · doi:10.1080/00461520701756420 · Cited by 277
The active integration of information during learning with dynamic and interactive visualisations
Bodemer, D., Ploetzner, R., Feuerlein, I., & Spada, H. (2004) · Learning and Instruction · doi:10.1016/j.learninstruc.2004.06.006 · Cited by 271
Antle, A. N., & Wise, A. F. (2013) · Interacting with Computers · doi:10.1093/iwc/iws007 · Cited by 240
Yeung, A. S., Jin, P., & Sweller, J. (1998) · Contemporary Educational Psychology · doi:10.1006/ceps.1997.0951 · Cited by 208
Self-citationThe Redundancy Principle in Multimedia Learning
Sweller, J. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816819.011 · Cited by 203
Self-citationCognitive Load Theory: A Broader View on the Role of Memory in Learning and Education
PAAS, F. G. W. C., & Ayres, P. (2014) · Educational Psychology Review · doi:10.1007/s10648-014-9263-5 · Cited by 225
A Primer on Aspects of Cognition for Medical Informatics
Patel, V. L., Arocha, J. F., & Kaufman, D. R. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080324 · Cited by 170
Aesthetic principles for instructional design
Parrish, P. E. (2007) · Educational Technology Research and Development · doi:10.1007/s11423-007-9060-7 · Cited by 177
Keep it Coherent: A Meta-Analysis of the Seductive Details Effect
Sundararajan, N., & Adesope, O. (2020) · Educational Psychology Review · doi:10.1007/s10648-020-09522-4 · Cited by 197
Riar, M., Xi, N., Korbel, J. J., Zarnekow, R., & Hamari, J. (2022) · Internet Research · doi:10.1108/intr-08-2021-0611 · Cited by 186
Some cognitive processes and their consequences for the organisation and presentation of information
Sweller, J. (1993) · Australian Journal of Psychology · doi:10.1080/00049539308259112 · Cited by 157
Self-citationArtino, A. R. (2008) · Cited by 155
Perceptual Learning, Cognition, and Expertise
(2013) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/b978-0-12-407237-4.00004-9 · Cited by 163
Medicine and heuristics: cognitive biases and medical decision-making
Whelehan, D. F., Conlon, K. C., & Ridgway, P. F. (2020) · Irish Journal of Medical Science (1971 -) · doi:10.1007/s11845-020-02235-1 · Cited by 167
Virtual reality: A new method to investigate cognitive load during navigation
Armougum, A., Orriols, É., Gaston‐Bellegarde, A., Marle, C. J.-L., & Piolino, P. (2019) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2019.101338 · Cited by 160
The Complex Matter of Online Hotel Choice
Pan, B., Zhang, L., & Law, R. (2012) · Cornell Hospitality Quarterly · doi:10.1177/1938965512463264 · Cited by 147
Getting Students “Partially” Involved in Note-Taking Using Graphic Organizers
Katayama, A. D., & Robinson, D. H. (2000) · The Journal of Experimental Education · doi:10.1080/00220970009598498 · Cited by 141
Learning from productive failure
Kapur, M. (2015) · Learning Research and Practice · doi:10.1080/23735082.2015.1002195 · Cited by 126
Patel, V. L., Yoskowitz, N. A., Arocha, J. F., & Shortliffe, E. H. (2008) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2008.12.002 · Cited by 133
Teaching for understanding in medical classrooms using multimedia design principles
Issa, N., Mayer, R. E., Schuller, M. C., Wang, E., Shapiro, M. B., & DaRosa, D. A. (2013) · Medical Education · doi:10.1111/medu.12127 · Cited by 123
External and mental referencing of multiple representations
Bodemer, D., & Faust, U. (2006) · Computers in Human Behavior · doi:10.1016/j.chb.2005.01.005 · Cited by 114
The effect of redundant text in multimedia instruction
Jamet, É., & Bohec, O. L. (2006) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2006.07.001 · Cited by 116
Orrú, G., & Longo, L. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-14273-5_3 · Cited by 145
Khalil, M. K., PAAS, F. G. W. C., Johnson, T. E., & Payer, A. F. (2005) · The Anatomical Record Part B The New Anatomist · doi:10.1002/ar.b.20077 · Cited by 119
Tzafilkou, K., Perifanou, M. A., & Economides, A. A. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10604-1 · Cited by 129
Cognitive load effects in a primary-school geometry task
Bobis, J., Sweller, J., & Cooper, M. G. (1993) · Learning and Instruction · doi:10.1016/s0959-4752(09)80002-9 · Cited by 115
Self-citationReady student one: Exploring the predictors of student learning in virtual reality
Madden, J., Pandita, S., Schuldt, J. P., Kim, B., Won, A. S., & Holmes, N. G. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229788 · Cited by 112
Designs for learning about climate change as a complex system
Jacobson, M. J., Markauskaitė, L., Portolese, A., Kapur, M., Lai, P. K., & Roberts, G. (2017) · Learning and Instruction · doi:10.1016/j.learninstruc.2017.03.007 · Cited by 109
Some Conditions under Which Integrated Computer-Based Training Software Can Facilitate Learning
Cerpa, N., Chandler, P., & Sweller, J. (1996) · Journal of Educational Computing Research · doi:10.2190/mg7x-4j8n-ckyr-p06t · Cited by 102
Self-citationKulgemeyer, C. (2018) · Research in Science Education · doi:10.1007/s11165-018-9787-7 · Cited by 140
The role of working memory components in multimedia comprehension
Gyselinck, V., Jamet, É., & Dubois, V. (2008) · Applied Cognitive Psychology · doi:10.1002/acp.1411 · Cited by 100
Cognitive Load Theory: What It Is, Why It's Important for Accounting Instruction and Research
Mostyn, G. R. (2011) · Issues in Accounting Education · doi:10.2308/iace-50099 · Cited by 91
Use of Knowledge Management Systems and the Impact on the Acquisition of Explicit Knowledge
McCall, H., Arnold, V., & Sutton, S. G. (2008) · Journal of Information Systems · doi:10.2308/jis.2008.22.2.77 · Cited by 89
Representational competence: towards a distributed and embodied cognition account
Pande, P., & Chandrasekharan, S. (2016) · Studies in Science Education · doi:10.1080/03057267.2017.1248627 · Cited by 102
Khalil, M. K., Paas, F., Johnson, T. E., & Payer, A. F. (2005) · The Anatomical Record Part B: The New Anatomist · doi:10.1002/ar.b.20078 · Cited by 79
Learning in a sheltered Internet environment: The use of WebQuests
Segers, E., & Verhoeven, L. T. W. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.02.017 · Cited by 84
Koć‐Januchta, M., Schönborn, K. J., Roehrig, C., Chaudhri, V. K., Tibell, L. A. E., & Heller, H. C. (2022) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-021-00317-3 · Cited by 118
Dynamic visualisations and learning
Ploetzner, R., & Lowe, R. (2004) · Learning and Instruction · doi:10.1016/j.learninstruc.2004.06.001 · Cited by 81
Effects of multimedia on cognitive load, self‐efficacy, and multiple rule‐based problem solving
Zheng, R. Z., McAlack, M., Wilmes, B., Kohler‐Evans, P., & Williamson, J. (2008) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2008.00859.x · Cited by 71
Analysis of trainees' memory after classroom presentations of didactical ultrasound courses
Hempel, D., Stenger, T., Orto, M. C. D., Stenger, D. P., Seibel, A., Rohrig, S. A. H., Heringer, F., Walcher, F., & Breitkreutz, R. (2014) · The Ultrasound Journal · doi:10.1186/2036-7902-6-10 · Cited by 65
Too much social media? Unveiling the effects of determinants in social media fatigue
Qin, C., Li, Y., Wang, T., Zhao, J., Tong, L., Yang, J., & Liu, Y. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1277846 · Cited by 99
Yeung, A. S. (1999) · The Journal of Experimental Education · doi:10.1080/00220979909598353 · Cited by 64
Measuring learning gain: Comparing anatomy drawing screencasts and paper‐based resources
Pickering, J. D. (2016) · Anatomical Sciences Education · doi:10.1002/ase.1666 · Cited by 63
Zheng, R. Z., & Gupta, U. (2020) · European Journal of STEM Education · doi:10.20897/ejsteme/9252 · Cited by 90
Tangible Business Process Modeling – Methodology and Experiment Design
Großkopf, A., Edelman, J. A., & Weske, M. (2010) · Lecture notes in business information processing · doi:10.1007/978-3-642-12186-9_46 · Cited by 60
Khalil, M. K., Nelson, L. D., & Kibble, J. D. (2010) · Anatomical Sciences Education · doi:10.1002/ase.177 · Cited by 57
Chiu, T. K. F., & Churchill, D. (2015) · Interactive Learning Environments · doi:10.1080/10494820.2015.1006237 · Cited by 66
Towards a framework for effective instructional explanations in science teaching
Kulgemeyer, C. (2018) · Studies in Science Education · doi:10.1080/03057267.2018.1598054 · Cited by 68
Fiorella, L., Vogel-Walcutt, J. J., & Schatz, S. L. (2011) · Educational Technology Research and Development · doi:10.1007/s11423-011-9218-1 · Cited by 62
Söllner, M., Bitzer, P., Janson, A., & Leimeister, J. (2018) · Journal of Information and Technology · doi:10.1057/s41265-017-0046-6 · Cited by 59
Solving complex problems: A convergent approach to cognitive load measurement
Zheng, R. Z., & Cook, A. E. (2011) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2010.01169.x · Cited by 58
The role of cognitive load in effective strategic issue management
Laamanen, T. M. M., MAULA, M. V. J., Kajanto, M., & Kunnas, P. (2017) · Long Range Planning · doi:10.1016/j.lrp.2017.03.001 · Cited by 56
Learning information and communications technology skills and the subject context of the learning
Selinger, M. (2001) · Technology Pedagogy and Education · doi:10.1080/14759390100200108 · Cited by 54
Explorations in Learning and the Brain
de Jong, T., van Gog, T., Jenks, K., Manlove, S., van Hell, J. G., Jolles, J., van Merriënboer, J. J. G., van Leeuwen, T. H., & Boschloo, A. (2009) · Springer eBooks · doi:10.1007/978-0-387-89512-3 · Cited by 55
Antle, A. N., Wise, A. F., & Nielsen, K. (2011) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/1999030.1999032 · Cited by 52
Student teacher challenges: using the cognitive load theory as an explanatory lens
Moos, D. C., & Pitton, D. E. (2013) · Teaching Education · doi:10.1080/10476210.2012.754869 · Cited by 59
Eftekhari, M., Sotoudehnama, E., & Marandi, S. S. (2016) · Educational Technology Research and Development · doi:10.1007/s11423-016-9431-z · Cited by 51
Ohly, S., Plückthun, L., & Kissel, D. (2016) · Psychology Learning & Teaching · doi:10.1177/1475725716681714 · Cited by 51
The power of affective pedagogical agent and self-explanation in computer-based learning
Wang, Y., Gong, S., Cao, Y., & Fan, W. (2023) · Computers & Education · doi:10.1016/j.compedu.2022.104723 · Cited by 52
The Relevance of Hierarchies to Learning Biology From Hypertext
Shapiro, A. M. (1999) · Journal of the Learning Sciences · doi:10.1207/s15327809jls0802_2 · Cited by 48
Computer-based training for safety: Comparing methods with older and younger workers
Wallen, E. S., & Mulloy, K. B. (2006) · Journal of Safety Research · doi:10.1016/j.jsr.2006.08.003 · Cited by 46
Using pop‐up windows to improve multimedia learning
Erhel, S., & Jamet, É. (2006) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2006.00165.x · Cited by 48
Yakmacı-Güzel, B., & Adadan, E. (2013) · The International Journal of Environmental and Science Education · Cited by 45
Lin, J. J. H., & Lin, S. S. J. (2013) · International Journal of Science and Mathematics Education · doi:10.1007/s10763-013-9479-8 · Cited by 49
Walkington, C., Clinton‐Lisell, V., & Sparks, A. (2019) · Instructional Science · doi:10.1007/s11251-019-09481-6 · Cited by 45
Over two decades of research on choice overload: An overview and research agenda
Jacob, B. M., Thomas, S., & Joseph, J. (2024) · International Journal of Consumer Studies · doi:10.1111/ijcs.13029 · Cited by 62
Differences between experts and novices in the monitoring of automated systems
Bruder, C., & Hasse, C. (2019) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2019.03.007 · Cited by 46
Controlling split attention and redundancy in physical therapy instruction
Pociask, F. D., & Morrison, G. R. (2007) · Educational Technology Research and Development · doi:10.1007/s11423-007-9062-5 · Cited by 46
Cognitive load while learning with a graphical computer interface
Martin‐Michiellot, S., & Mendelsohn, P. (2000) · Journal of Computer Assisted Learning · doi:10.1046/j.1365-2729.2000.00141.x · Cited by 42
Clinical study of student learning using mastery style versus immediate feedback online activities
Gladding, G. E., Gutmann, B., Schroeder, N. L., & Stelzer, T. J. (2015) · Physical Review Special Topics - Physics Education Research · doi:10.1103/physrevstper.11.010114 · Cited by 45
Narjaikaew, P., Emarat, N., & Cowie, B. (2009) · Research in Science & Technological Education · doi:10.1080/02635140802658917 · Cited by 41
Lyu, C., & Deng, S. (2024) · Learning and Individual Differences · doi:10.1016/j.lindif.2024.102564 · Cited by 42
Amount of invested mental effort (AIME) in online searching
Rieh, S. Y., Kim, Y.-M., & Markey, K. (2012) · Information Processing & Management · doi:10.1016/j.ipm.2012.05.001 · Cited by 38
Increasing Shopper Trust in Retailer Technological Interfaces via Auditory Confirmation
Reynolds-McIlnay, R., & Morrin, M. (2019) · Journal of Retailing · doi:10.1016/j.jretai.2019.10.006 · Cited by 44
An investigation of SOAR study strategies for learning from multiple online resources
Daher, T. A., & Kiewra, K. A. (2016) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2015.12.004 · Cited by 38
Pastore, R. (2009) · Educational Technology Research and Development · doi:10.1007/s11423-009-9145-6 · Cited by 43
Applying social tagging to manage cognitive load in a Web 2.0 self-learning environment
Huang, Y., Huang, Y.-M., Liu, C., & Tsai, C. (2011) · Interactive Learning Environments · doi:10.1080/10494820.2011.555839 · Cited by 37
The effects of teaching notetaking strategies on elementary students’ science learning
Lee, P.-L., Lan, W. Y., Hamman, D., & Hendricks, B. (2007) · Instructional Science · doi:10.1007/s11251-007-9027-4 · Cited by 37
van Hooijdonk, C. M. J., & Krahmer, E. (2008) · IEEE Transactions on Professional Communication · doi:10.1109/tpc.2007.2000054 · Cited by 36
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
A systematic survey on embodied cognition: 11 years of research in child–computer interaction
Ale, M., Sturdee, M., & Rubegni, E. (2022) · International Journal of Child-Computer Interaction · doi:10.1016/j.ijcci.2022.100478 · Cited by 47
The job perception inventory: Considering human factors and needs in the design of human-AI work
Berretta, S., Tausch, A., Peifer, C., & Kluge, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1128945 · Cited by 35
“Cognitive load (CL) describes the way information is processed in working memory and stored in long-term memory in learning or complex situations (Sweller and Chandler, 1991).”
BackgroundHuang, A. Y. Q., Lin, C., Su, S., & Yang, S. J. H. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13589 · Cited by 37
Begolli, K. N., Dai, T., McGinn, K. M., & Booth, J. L. (2021) · Instructional Science · doi:10.1007/s11251-021-09550-9 · Cited by 51
Hospital doctors and their schemas about appropriate prescribing
Higgins, M. P., & Tully, M. P. (2005) · Medical Education · doi:10.1111/j.1365-2929.2004.02056.x · Cited by 33
Non‐native Chinese language learners' attitudes towards online vision‐based motion games
Hao, Y., Hong, J., Jong, J., Hwang, M., Su, C., & Yang, J. (2010) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2009.01050.x · Cited by 36
Wynder, M. B. (2017) · Accounting Education · doi:10.1080/09639284.2017.1361847 · Cited by 33
Metadata
- Authors
- Sweller, J., & Chandler, P.
- Affiliations
- UNSW Sydney (AU)
- Venue
- Cognition and Instruction
- Publisher
- Informa UK Limited
- Published
- 1991-12
- Volume
- 8
- Issue
- 4
- Pages
- 351-362
- ISSN
- 0737-0008 (ISSN-L)
- 1532-690X
- OpenAlex
- W2077546866
- Cited by
- 543
- References
- 25
- Citations by year
- 2026: 56 · 2025: 59 · 2024: 42 · 2023: 27 · 2022: 35 · 2021: 12 · 2020: 18 · 2019: 17 · 2018: 14 · 2017: 23 · 2016: 17 · 2015: 9 · 2014: 24 · 2013: 29 · 2012: 17
- FWCI
- 3.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cognition and Instruction (publishedVersion)
- Research Online (University of Wollongong) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Keywords
- cognitive load theory, research methodology, 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