Measurement of cognitive load in multimedia learning: a comparison of different objective measures
Integrity signals
Registry
Cites
Statistics
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?
Korbach et al. (2017) showed that the rhythm method was sensitive to hypothesised differences in cognitive load between a mental animation group, a seductive detail group and a control group.
“Korbach et al. (2017) showed that this technique was sensitive to hypothesised differences in cognitive load between a mental animation group, a seductive detail group and a control group.”
From Cognitive Architecture and Instructional Design: 20 Years Later (2019) · cites this paper as Korbach et al. (2017)
Cites
Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research
(1988) · Advances in Psychology · doi:10.1016/s0166-4115(08)62386-9 · Cited by 15,003 · see citing works
Eye movements in reading and information processing: 20 years of research
Rayner, K. (1998) · Psychological Bulletin · doi:10.1037/0033-2909.124.3.372 · Cited by 7,979 · see citing works
Mayer, R. (2020) · doi:10.1017/9781316941355 · Cited by 7,777 · see citing works
Cognitive Architecture and Instructional Design
Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998) · Educational Psychology Review · doi:10.1023/a:1022193728205 · Cited by 6,023 · see citing works
Sweller, J., Ayres, P., & Kalyuga, S. (2011) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_446 · Cited by 5,538 · see citing works
Speed of processing in the human visual system
Thorpe, S., Fize, D., & Marlot, C. (1996) · Nature · doi:10.1038/381520a0 · Cited by 3,538 · 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
Eye Tracking: A comprehensive guide to methods and measures
Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R. J., Jarodzka, H. M., & van de Weijer, J. (2015) · Lund University Publications (Lund University) · Cited by 2,919 · see citing works
Cognitive Load Measurement as a Means to Advance Cognitive Load Theory
Paas, F., Tuovinen, J. E., Tabbers, H., & Van Gerven, P. W. M. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_8 · Cited by 2,527 · see citing works
The Cambridge handbook of multimedia learning
Mayer, R. E. (2006) · Choice Reviews Online · doi:10.5860/choice.43-5643 · Cited by 2,321 · see citing works
Mayer, R. E. (2001) · doi:10.1017/cbo9781139164603 · Cited by 2,304 · see citing works
Paas, F. G. W. C. (1992) · Journal of Educational Psychology · doi:10.1037/0022-0663.84.4.429 · Cited by 2,150 · see citing works
Eye fixations and cognitive processes
Just, M. A., & Carpenter, P. A. (1976) · Cognitive Psychology · doi:10.1016/0010-0285(76)90015-3 · Cited by 1,730 · see citing works
The Role of interest in Learning and Development
Renninger, K. A., Hidi, S. E., Krapp, A., & Renninger, A. (2014) · Psychology Press eBooks · doi:10.4324/9781315807430 · Cited by 1,611 · see citing works
Multimedia Learning: SUBJECT INDEX
Mayer, R. E. (2001) · Cited by 1,175 · see citing works
The E-Z Reader model of eye-movement control in reading: Comparisons to other models
Reichle, E. D., Rayner, K., & Pollatsek, A. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03000104 · Cited by 1,083 · see citing works
Development of an instrument for measuring different types of cognitive load
Leppink, J., Paas, F., Van der Vleuten, C. P. M., Van Gog, T., & Van Merriënboer, J. J. G. (2013) · Behavior Research Methods · doi:10.3758/s13428-013-0334-1 · Cited by 1,066 · cited 3× · see citing works
“Therefore, one item might not be a valid measure of a specific cognitive load factor, whereas self-reports in general could be suitable not only to rate the total cognitive load but also to differentiate between the cognitive load factors (Leppink et al. 2013, 2014).”
BackgroundInstructional control of cognitive load in the training of complex cognitive tasks
Paas, F. G. W. C., & Van Merriënboer, J. J. G. (1994) · Educational Psychology Review · doi:10.1007/bf02213420 · Cited by 968 · see citing works
(1999) · Cited by 944 · see citing works
Aviation, space, and environmental medicine
(1981) · Journal of Sound and Vibration · doi:10.1016/0022-460x(81)90456-9 · Cited by 933 · see citing works
Direct Measurement of Cognitive Load in Multimedia Learning
Brunken, R., Plass, J. L., & Leutner, D. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_7 · Cited by 896 · see citing works
Self-citationCognitive Load Theory: How Many Types of Load Does It Really Need?
Kalyuga, S. (2011) · Educational Psychology Review · doi:10.1007/s10648-010-9150-7 · Cited by 725 · see citing works
Plass, J. L. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511844744 · Cited by 634 · see citing works
Reading Statistics and Research
Chung, E. (2011) · Korean journal of medical education · doi:10.3946/kjme.2011.23.2.141 · Cited by 558 · see citing works
DeLeeuw, K. E., & Mayer, R. E. (2008) · Journal of Educational Psychology · doi:10.1037/0022-0663.100.1.223 · Cited by 558 · see citing works
Effects of pairs of problems and examples on task performance and different types of cognitive load
Leppink, J., Paas, F., van Gog, T., van der Vleuten, C. P. M., & van Merriënboer, J. J. G. (2014) · Learning and Instruction · doi:10.1016/j.learninstruc.2013.12.001 · Cited by 520 · see citing works
Working memory capacity — facets of a cognitive ability construct
Oberauer, K., Süß, H., Schulze, R., Wilhelm, O., & Wittmann, W. W. (2000) · Personality and Individual Differences · doi:10.1016/s0191-8869(99)00251-2 · Cited by 496 · see citing works
Choi, H.-H., van Merriënboer, J. J. G., & Paas, F. (2014) · Educational Psychology Review · doi:10.1007/s10648-014-9262-6 · Cited by 413 · see citing works
Effects of 'Seductive Details' on Macroprocessing and Microprocessing in Adults and Children
Garner, R., Gillingham, M. G., & White, C. S. (1989) · Cognition and Instruction · doi:10.1207/s1532690xci0601_2 · Cited by 407 · see citing works
Moreno, R. (2006) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2006.00170.x · Cited by 395 · see citing works
In the eyes of the beholder: How experts and novices interpret dynamic stimuli
Jarodzka, H., Scheiter, K., Gerjets, P. H., & van Gog, T. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.02.019 · Cited by 392 · see citing works
Using subjective measures to detect variations of intrinsic cognitive load within problems
Ayres, P. (2006) · Learning and Instruction · doi:10.1016/j.learninstruc.2006.09.001 · Cited by 381 · see citing works
Attention guidance in learning from a complex animation: Seeing is understanding?
de Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & PAAS, F. G. W. C. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.02.010 · Cited by 311 · see citing works
Reading Statistics and Research
Huck, S. (2013) · Cited by 304 · see citing works
An examination of the seductive details effect in terms of working memory capacity
Sanchez, C. A., & Wiley, J. (2006) · Memory & Cognition · doi:10.3758/bf03193412 · Cited by 302 · see citing works
On the Psychophysics of Workload: Why Bother with Subjective Measures?
Gopher, D., & Braune, R. J. (1984) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872088402600504 · Cited by 281 · see citing works
Park, B., Knörzer, L., Plass, J. L., & Brünken, R. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.02.016 · Cited by 276 · see citing works
Self-citationEye movement during skill acquisition: More evidence for the information-reduction hypothesis.
Haider, H., & Frensch, P. A. (1999) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.25.1.172 · Cited by 275 · see citing works
Effects of knowledge and display design on comprehension of complex graphics
Canham, M. S., & Hegarty, M. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.02.014 · Cited by 265 · see citing works
A closer look at split visual attention in system- and self-paced instruction in multimedia learning
Schmidt‐Weigand, F., Kohnert, A., & Glowalla, U. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.02.011 · Cited by 255 · see citing works
An eye movement analysis of the spatial contiguity effect in multimedia learning.
Johnson, C. I., & Mayer, R. (2012) · Journal of experimental psychology. Applied · doi:10.1037/a0026923 · Cited by 252 · see citing works
Unique contributions of eye-tracking research to the study of learning with graphics
Mayer, R. E. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.02.012 · Cited by 252 · see citing works
Eye movements during information processing tasks: Individual differences and cultural effects
Rayner, K., Li, X., Williams, C. C., Cave, K. R., & Well, A. D. (2007) · Vision Research · doi:10.1016/j.visres.2007.05.007 · Cited by 248 · see citing works
Laeng, B., Ørbo, M. C., Holmlund, T. B., & Miozzo, M. (2010) · Cognitive Processing · doi:10.1007/s10339-010-0370-z · Cited by 225 · see citing works
What does germane load mean? An empirical contribution to the cognitive load theory
Debue, N., & van de Leemput, C. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01099 · Cited by 209 · see citing works
Schmeck, A., Opfermann, M., van Gog, T., PAAS, F. G. W. C., & Leutner, D. (2014) · Instructional Science · doi:10.1007/s11251-014-9328-3 · Cited by 207 · see citing works
Identifying cognitive state from eye metrics.
Marshall, S. P. (2007) · PubMed · Cited by 207 · see citing works
Cognitive Load Theory: Historical Development and Relation to Other Theories
Moreno, R., & Park, B. (2010) · Cognitive Load Theory · doi:10.1017/cbo9780511844744.003 · Cited by 204 · see citing works
Self-citationDoes cognitive load moderate the seductive details effect? A multimedia study
Park, B., Moreno, R., Seufert, T., & Brünken, R. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.05.006 · Cited by 194 · see citing works
Self-citationMagner, U., Schwonke, R., Aleven, V. A. W. M. M., Popescu, O., & Renkl, A. (2012) · Learning and Instruction · doi:10.1016/j.learninstruc.2012.07.002 · Cited by 192 · see citing works
Cognitive and affective effects of seductive details in multimedia learning
Park, B., Flowerday, T., & Brünken, R. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.10.061 · Cited by 183 · see citing works
Self-citationCognitive and affective processes in multimedia learning
Park, B., Plass, J. L., & Brünken, R. (2013) · Learning and Instruction · doi:10.1016/j.learninstruc.2013.05.005 · Cited by 161 · see citing works
Self-citationBrünken, R., Seufert, T., & Paas, F. (2010) · Cognitive Load Theory · doi:10.1017/cbo9780511844744.011 · Cited by 143 · see citing works
Self-citationTiming and Frequency of Mental Effort Measurement: Evidence in Favour of Repeated Measures
van Gog, T., Kirschner, F., Kester, L., & Paas, F. (2012) · Applied Cognitive Psychology · doi:10.1002/acp.2883 · Cited by 130 · see citing works
Reading Statistics and Research by Schuyler W. Huck
Savić, M. (2008) · RePEc: Research Papers in Economics · Cited by 129 · see citing works
"Seductive details" and learning from text.
Garner, R., Brown, R. L., Sanders, S., & Menke, D. (1992) · Cited by 129 · see citing works
The Rhythm Method: A New Method for Measuring Cognitive Load—An Experimental Dual‐Task Study
Park, B., & Brünken, R. (2014) · Applied Cognitive Psychology · doi:10.1002/acp.3100 · Cited by 104 · see citing works
Self-citationCross Cultural Model Testing: Inventory of School Motivation
McInerney, D. M., & Sinclair, K. E. (1991) · Educational and Psychological Measurement · doi:10.1177/0013164491511011 · Cited by 96 · see citing works
Human Factors for Assistance and Automation
de Waard, D., Flemisch, F. O., Lorenz, B. W. J., Oberheid, H., & Brookhuis, K. (2008) · elib (German Aerospace Center) · Cited by 89 · see citing works
Current Issues and Open Questions in Cognitive Load Research
Brünken, R., Plass, J. L., & Moreno, R. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511844744.014 · Cited by 81 · see citing works
Self-citationPark, B., Korbach, A., & Brünken, R. (2015) · Educational Technology & Society · Cited by 75 · see citing works
Self-citationCommentary: The Perils of Seduction: Distracting Details or Incomprehensible Abstractions?
Goetz, E. T., & Sadoski, M. (1995) · Reading Research Quarterly · doi:10.2307/747628 · Cited by 64 · see citing works
Korbach, A., Brünken, R., & Park, B. (2016) · Learning and Individual Differences · doi:10.1016/j.lindif.2016.08.030 · Cited by 60 · see citing works
Self-citationMarshall, S. P., Pleydell-Pearce, C. W., & Dickson, B. T. (2003) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2003.1174298 · Cited by 46 · see citing works
Processing and Integrating Multimodal Material — The Influence of Color-Coding
Folker, S., Ritter, H. J., & Sichelschmidt, L. (2005) · Cited by 41 · see citing works
Measuring linguistically-induced cognitive load during driving using the ConTRe task
Demberg, V., Sayeed, A., Mahr, A., & Müller, C. A. (2013) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/2516540.2516546 · Cited by 28 · see citing works
The Perils of Seduction Revisited: A Reply to Wade, Alexander, Schraw, and Kulikowich
Goetz, E. T., & Sadoski, M. (1995) · Reading Research Quarterly · doi:10.2307/747630 · Cited by 23 · see citing works
Clark, R. E., & Clark, V. P. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511844744.012 · Cited by 19 · see citing works
How instruction guides attention in multimedia learning
Brünken, R., Plass, J. L., & Leutner, D. (2004) · Cited by 12 · see citing works
Self-citationTesting the additivity hypothesis of cognitive load theory
Park, B. (2010) · Publications of the UdS (Saarland University) · doi:10.22028/d291-23309 · Cited by 8 · see citing works
Self-citation
Flagged first, then by citations
2 of the 72 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Cognitive Architecture and Instructional Design: 20 Years Later
Sweller, J., van Merriënboer, J. J. G., & Paas, F. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09465-5 · Cited by 2,337 · see citing works
Cognitive load in multimedia learning environments: A systematic review
Bayraktar, D. M., Çoşğun, V., & Altan, T. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.103618 · Cited by 337 · see citing works
Eye Movement and Pupil Measures: A Review
Mahanama, B., Jayawardana, Y., Rengarajan, S., Jayawardena, G., Chukoskie, L., Snider, J., & Jayarathna, S. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2021.733531 · Cited by 317 · see citing works
Cognitive Load and Working Memory in Multimedia Learning: Conceptual and Measurement Issues
Anmarkrud, Ø., Andresen, A., & Bråten, I. (2019) · Educational Psychologist · doi:10.1080/00461520.2018.1554484 · Cited by 188 · see citing works
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 176 · see citing works
Lee, J. Y., Donkers, J. H. H. L. M., Jarodzka, H. M., & van Merriënboer, J. J. G. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.05.035 · Cited by 77 · see citing works
Looking at Mental Effort Appraisals through a Metacognitive Lens: Are they Biased?
Scheiter, K., Ackerman, R., & Hoogerheide, V. (2020) · Educational Psychology Review · doi:10.1007/s10648-020-09555-9 · Cited by 63 · see citing works
Le, Y., Liu, J., Deng, C., & Dai, D. Y. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.07.037 · Cited by 61 · see citing works
Should learners use their hands for learning? Results from an eye‐tracking study
Korbach, A., Ginns, P., Brünken, R., & Park, B. (2019) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12396 · Cited by 58 · see citing works
Self-citationShangguan, C., Wang, Z., Gong, S., Guo, Y., & Xu, S. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.03065 · Cited by 54 · see citing works
Something old, something new from cognitive load theory
Ayres, P. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106503 · Cited by 53 · see citing works
Shangguan, C., Gong, S., Guo, Y., Wang, X., & Lu, J. (2020) · Educational Psychology · doi:10.1080/01443410.2020.1714548 · Cited by 52 · see citing works
Ismaeel, D. A., & Mulhim, E. N. A. (2020) · Australasian Journal of Educational Technology · doi:10.14742/ajet.6138 · Cited by 51 · see citing works
Confirmatory Factor Analysis of Cognitive Load Ratings Supports a Two-Factor Model
Jiang, D., & Kalyuga, S. (2020) · The Quantitative Methods for Psychology · doi:10.20982/tqmp.16.3.p216 · Cited by 50 · see citing works
Tsai, M., Wu, A., & Chen, Y. (2018) · Applied Cognitive Psychology · doi:10.1002/acp.3514 · Cited by 43 · see citing works
Complexity in declarative process models: Metrics and multi-modal assessment of cognitive load
Andaloussi, A. A., Burattin, A., Slaats, T., Kindler, E., & Weber, B. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120924 · Cited by 38 · see citing works
Cunff, A. L., Dommett, E. J., & Giampietro, V. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16201 · Cited by 35 · see citing works
Park, B., Korbach, A., & Brünken, R. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106411 · Cited by 35 · see citing works
Self-citationWang, W., & Sari, M. K. (2023) · Journal of Educational Computing Research · doi:10.1177/07356331231187285 · Cited by 31 · see citing works
Feng, Y., & Wang, X. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1200675 · Cited by 31 · see citing works
Cheng, Y.-P., Shen, P.-D., Hung, M.-L., Tsai, C.-W., Lin, C.-H., & Hsu, L. C. (2022) · Universal Access in the Information Society · doi:10.1007/s10209-020-00789-6 · Cited by 30 · see citing works
When two computer-supported learning strategies are better than one: An eye-tracking study
Ponce, H. R., Mayer, R. E., Loyola, M. S., López, M., & Méndez, E. E. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.06.024 · Cited by 30 · see citing works
Darejeh, A., Marcus, N., & Sweller, J. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-10024-5 · Cited by 29 · see citing works
Investigating the effectiveness of emotional design principle to attenuate ego depletion effect
Le, Y., Chen, Z., Liu, S., Pang, W., & Deng, C. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104311 · Cited by 27 · see citing works
Cognitive load theory and its measurement: a study of secondary tasks in relation to working memory
Greenberg, K., & Zheng, R. Z. (2022) · Journal of Cognitive Psychology · doi:10.1080/20445911.2022.2026052 · Cited by 26 · see citing works
Revisiting the debate on germane cognitive load versus germane resources
Greenberg, K., & Zheng, R. Z. (2022) · Journal of Cognitive Psychology · doi:10.1080/20445911.2022.2159416 · Cited by 25 · see citing works
Designing computer-based tests: design guidelines from multimedia learning studied with eye tracking
Dirkx, K., Skuballa, I. T., Manastirean-Zijlstra, C. S., & Jarodzka, H. M. (2021) · Instructional Science · doi:10.1007/s11251-021-09542-9 · Cited by 24 · see citing works
Competitive Agents and Adaptive Difficulty Within Educational Video Games
Nebel, S., Beege, M., Schneider, S., & Rey, G. D. (2020) · Frontiers in Education · doi:10.3389/feduc.2020.00129 · Cited by 23 · see citing works
Latest trends to optimize computer-based learning: Guidelines from cognitive load theory
Castro-Alonso, J. C., & de Koning, B. B. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106458 · Cited by 23 · see citing works
Methods of User Centered Design and Evaluation for Learning Designers
Schmidt, M., Earnshaw, Y., Tawfik, A. A., & Jahnke, I. (2020) · Cited by 22 · see citing works
Learning from interactive video: the influence of self-explanations, navigation, and cognitive load
Beege, M., & Ploetzner, R. (2024) · Instructional Science · doi:10.1007/s11251-024-09693-5 · Cited by 21 · see citing works
Individual differences in visuospatial working memory capacity influence the modality effect
Greenberg, K., Zheng, R. Z., Gardner, M. K., & Orr, M. (2020) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12519 · Cited by 19 · see citing works
Using insights from cognitive science for the teaching of clinical skills: AMEE Guide No. 155
Cecílio‐Fernandes, D., Patel, R. M., & Sandars, J. E. (2023) · Medical Teacher · doi:10.1080/0142159x.2023.2168528 · Cited by 21 · see citing works
Burín, D. I., González, F., Martínez, M. A., & Marrujo, J. G. (2021) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12524 · Cited by 20 · see citing works
Cunff, A. L., Giampietro, V., & Dommett, E. J. (2024) · Education Sciences · doi:10.3390/educsci14050516 · Cited by 18 · see citing works
Zhong, H.-X., Chiu, P., & Lai, C. (2021) · Sustainability · doi:10.3390/su13031381 · Cited by 18 · see citing works
A VR‐based wiring learning platform for promoting practice experience of electrical engineering
Xu, H., Zheng, Y., & Liang, J. S. (2023) · Computer Applications in Engineering Education · doi:10.1002/cae.22704 · Cited by 18 · see citing works
D’Eon, M. F., & Yasinian, M. (2021) · Higher Education Research & Development · doi:10.1080/07294360.2021.1945543 · Cited by 16 · see citing works
How Learners Use Their Hands for Learning: an Eye-Tracking Study
Park, B., Korbach, A., Ginns, P., & Brünken, R. (2023) · Educational Psychology Review · doi:10.1007/s10648-023-09833-2 · Cited by 16 · see citing works
Self-citationDigital ink and differentiated subjective ratings for cognitive load measurement in middle childhood
Altmeyer, K., Barz, M., Lauer, L., Peschel, M., Sonntag, D., Brünken, R., & Malone, S. (2023) · British Journal of Educational Psychology · doi:10.1111/bjep.12595 · Cited by 15 · see citing works
Self-citationFixation-related EEG frequency band power analysis
Scharinger, C. (2018) · Frontline Learning Research · doi:10.14786/flr.v6i3.373 · Cited by 15 · see citing works
An Item Response Modeling Approach to Cognitive Load Measurement
Ehrich, J. F., Howard, S. J., Bokosmaty, S., & Woodcock, S. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.648324 · Cited by 14 · see citing works
Schnaubert, L., & Schneider, S. (2022) · Frontiers in Education · doi:10.3389/feduc.2021.648319 · Cited by 14 · see citing works
Choosing optimal means of knowledge visualization based on eye tracking for online education
Чан, Л., Liu, H., & Tan, Z. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11815-4 · Cited by 13 · see citing works
Pi, Z., Zhang, Y., Yu, Q., & Yang, J. (2023) · Educational Technology Research and Development · doi:10.1007/s11423-023-10256-7 · Cited by 13 · see citing works
Stark, L., Korbach, A., Brünken, R., & Park, B. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13051 · Cited by 14 · see citing works
Self-citationPloetzner, R. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1389604 · Cited by 12 · see citing works
Palacios‐Rodríguez, A., Almenara, J. C., & Hidalgo, M. S. (2024) · Revista de Educación a Distancia (RED) · doi:10.6018/red.582741 · Cited by 11 · see citing works
Khalijian, S., Pordelan, N., Khamsehzadeh, S., Askari, A., & Heydari, H. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11658-z · Cited by 11 · see citing works
Scharinger, C. (2023) · Applied Cognitive Psychology · doi:10.1002/acp.4087 · Cited by 11 · see citing works
A preliminary psychometric evaluation of the eight-item cognitive load scale
Pignatiello, G. A., Tsivitse, E., & Hickman, R. L. (2018) · Applied Nursing Research · doi:10.1016/j.apnr.2018.01.006 · Cited by 11 · see citing works
Czerniak, J. N., Schierhorst, N. J., Brandl, C., Mertens, A., Schwalm, M., & Nitsch, V. (2021) · Acta Psychologica · doi:10.1016/j.actpsy.2021.103402 · Cited by 11 · see citing works
Aguirre, E., Guzmán, C., & Otárola, L. G. (2023) · doi:10.31876/rcs.v29i2.39992 · Cited by 10 · see citing works
Huangfu, Q., He, Q., Luo, S., Huang, W., & Yu, Y. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13116 · Cited by 9 · see citing works
Azar, A. S., & Tan, N. H. I. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11796-4 · Cited by 8 · see citing works
Mental State Analysis on Eyewear
Augereau, O., Tag, B., & Kise, K. (2018) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3267305.3274119 · Cited by 8 · see citing works
Movement Patterns and Trajectories in Three-Dimensional Software Visualization
Steinbeck, M., Koschke, R., & Rüdel, M. O. (2019) · IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM) · doi:10.1109/scam.2019.00027 · Cited by 8 · see citing works
Zhang, S., de Koning, B. B., & PAAS, F. G. W. C. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107673 · Cited by 7 · see citing works
Specian, F. C., Santos, T. M., Sandars, J. E., Amaral, E. M., & Cecílio‐Fernandes, D. (2023) · Medical Teacher · doi:10.1080/0142159x.2023.2182662 · Cited by 7 · see citing works
Bahari, A., Alavinia, P., & Mohammadi, M. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13005 · Cited by 7 · see citing works
Krieglstein, F., Beege, M., Wesenberg, L., Rey, G. D., & Schneider, S. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09980-0 · Cited by 7 · see citing works
Luna-Urquizo, J. (2019) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2019.0101188 · Cited by 7 · see citing works
Aguirre, E., Ferrer, M. D. L. Á., & Rojas, C. (2021) · Kepes · doi:10.17151/kepes.2021.18.23.8 · Cited by 7 · see citing works
Impact of VR on Learning Experience compared to a Paper based Approach
Kolarik, S., Schlüter, C., & Ziolkowski, K. (2024) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij.31134 · Cited by 7 · see citing works
Queiroz, M. G. C., Specian, F. C., Filho, P. T. H., Santos, T. M., Schauber, S. K., Woltman, A. M., & Cecílio‐Fernandes, D. (2026) · Medical Education Online · doi:10.1080/10872981.2026.2621434 · Cited by 6 · see citing works
Wang, Z., & Schroeder, N. L. (2022) · Applied Cognitive Psychology · doi:10.1002/acp.3932 · Cited by 5 · see citing works
Judgements of effort as a function of post-trial versus post-task elicitation
Ashburner, M., & Risko, E. F. (2021) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218211005759 · Cited by 5 · see citing works
Measuring cognitive load using eye tracking technology in learning Content
Rondon, S. M. G., Rojas, L. E. B., & García, M. F. M. (2021) · Avances en Interacción Humano-Computadora · doi:10.47756/aihc.y6i1.82 · Cited by 5 · see citing works
Deviatko, I. F., & Лебедев, Д. В. (2017) · Monitoring obŝestvennogo mneniâ: èkonomičeskie i socialʹnye peremeny · doi:10.14515/monitoring.2017.5.01 · Cited by 5 · see citing works
Jahn, K., Suren, M., Sanchez‐Stockhammer, C., & Rey, G. D. (2025) · Frontiers in Virtual Reality · doi:10.3389/frvir.2025.1550004 · Cited by 4 · see citing works
The Medical Pause in Simulation Training
Lee, J. Y. (2022) · doi:10.26481/dis.20220608jl · Cited by 4 · see citing works
Seductive Details, Cognitive Load, and Learning Outcomes: A Multi-level Meta-analysis and MASEM
Cheng, C., Wu, Y., Wang, R., & Wang, Z. (2026) · Educational Psychology Review · doi:10.1007/s10648-025-10099-z · Cited by 3 · see citing works
Usability of Chat and Forum Discussion Tools in Higher Education
Yang, T., Li, H., Imtiaz, M. A., Heinrich, E., Eijgenraam, S., & Blagojevic, R. (2023) · Australian Conference on Computer-Human Interaction (OzCHI) · doi:10.1145/3638380.3638392 · Cited by 3 · see citing works
Instituto Federal do Paraná, B., & Scamati, V. (2020) · ESPACIOS · doi:10.48082/espacios-a20v41n44p21 · Cited by 3 · see citing works
An Experimental Evaluation of Worked Example Strategies for Efficient Programming Instruction
Tepgeç, M., & Çevik, Y. D. (2025) · Technology Knowledge and Learning · doi:10.1007/s10758-025-09901-2 · Cited by 2 · see citing works
Wyssenbach, T., Kaufmann, K., & Schwaninger, A. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2546054 · Cited by 2 · see citing works
Impact of Multimodal and Conversational AI on Learning Outcomes and Experience
Taneja, K., Singh, A., & Goel, A. K. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29760-0_60 · Cited by 2 · see citing works
Sohrabi, Z., Nosrati, S., Khaneghah, Z. N., Ramezanpor, E., Ghanavati, S., & Zhianifard, A. (2023) · Medical Journal of the Islamic Republic of Iran · doi:10.47176/mjiri.37.73 · Cited by 2 · see citing works
Buttussi, F., & Chittaro, L. (2024) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2024.3487898 · Cited by 2 · see citing works
Schierhorst, N. J., Rick, V., Czerniak, J. N., Brandl, C., Mertens, A., & Nitsch, V. (2024) · Applied Ergonomics · doi:10.1016/j.apergo.2024.104242 · Cited by 2 · see citing works
Dong, H., & Wei, P. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.0140898 · Cited by 2 · see citing works
Unraveling Coherence: The Impact of Image‐Relatedness in Concept Learning
de Jonge, T. H. S., Berti, A., van Schijndel, S., van Wermeskerken, M., & Kok, E. M. (2025) · Applied Cognitive Psychology · doi:10.1002/acp.70054 · Cited by 1 · see citing works
Does Feedback Based on Gaze and Stress Indicators Help Novice Programmers?
Golrang, A., & Sharma, K. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-03870-8_14 · Cited by 1 · see citing works
Varrasi, S., Vagnetti, R., Camp, N., Hough, J., Nuovo, A. G. D., Castellano, S., & Magistro, D. (2026) · Journal of Medical Internet Research · doi:10.2196/94738 · Cited by 1 · see citing works
A Review for Neuroimaging Techniques in Multimedia Learning
Özel, P., Bayraktar, D. M., Altan, T., Coşkun, V., & Olamat, A. (2023) · Advances in environmental engineering and green technologies book series · doi:10.4018/978-1-6684-5619-4.ch006 · Cited by 1 · see citing works
Harnessing the Power of Infographics in Education
Panduranga, S. N. (2023) · Advances in Social Sciences Research Journal · doi:10.14738/assrj.106.14988 · Cited by 1 · see citing works
Reyes, D. E. S. (2020) · The Proceedings of the International Conference on Research in Education, Teaching and Learning. · doi:10.33422/3rd.icetl.2020.02.23 · Cited by 1 · see citing works
A Review for Neuroimaging Techniques in Multimedia Learning
Özel, P., Bayraktar, D. M., Altan, T., Coşkun, V., & Olamat, A. (2022) · Advances in bioinformatics and biomedical engineering book series · doi:10.4018/978-1-6684-3947-0.ch004 · Cited by 1 · see citing works
Fusenig, J. (2019) · American Educational Research Association Annual Meeting (AERA) · doi:10.3102/1435827
An Application Study on AI Educational Robots in Spoken English Exercises of Chinese Primary Schools
Feng, Y., Yu, Y., & Cao, L. (2022) · Studies in English Language Teaching · doi:10.22158/selt.v10n4p1
Effects of VR on Learning Experience and Success
Kolarik, S., Ziolkowski, K., & Schlüter, C. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-031-20617-7_14
Finger Tapping as a Behavioral Indicator of Presence in VR
Hinkle, S., Soares, S., & Bohil, C. J. (2024) · PRESENCE Virtual and Augmented Reality · doi:10.1162/pres_a_00438
Signaling Information into Storybooks: The Effects on Preschool Children’s Comprehension
Colliot, T. (2025) · The Journal of Experimental Education · doi:10.1080/00220973.2025.2513251
Validation of a French version of the subjective cognitive load scale among college students
Tordet, C., Cazes, M., Leconte, L., Rougeot, C., & Jamet, É. (2025) · Psychologie Française · doi:10.1016/j.psfr.2025.05.002
Stylus Use in E‐Assessment: A Longitudinal Study of Usability and Cognitive Load
Blagojevic, R., Imtiaz, M. A., Pendleton, M., Greatorex, C., Eijgenraam, S., & Hu, G. (2026) · Advances in Human-Computer Interaction · doi:10.1155/ahci/5016082
Luminance-corrected Pupillometry for Reliable Effort-tracking in Dynamic EnvironmentsPreprint
Cai, Y., Naber, M., der Stigchel, S. V., & Strauch, C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.29.728653
A redundant redundancy principle? examining the redundancy principle through cognitive load
Carranza, A., & Geller, E. H. (2026) · Educational Psychology · doi:10.1080/01443410.2026.2678483
Meihan, S., Li, J., & Zhu, X. (2026) · Journal of the Society for Information Display · doi:10.1002/jsid.70094
Reinwarth, L. M., & Wallach, D. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30542-8_31
- Authors
- Korbach, A., Brünken, R., & Park, B.
- Affiliations
- Saarland University (DE)
- Corresponding author
- Korbach, Andreas
- Venue
- Instructional Science
- Published
- 2017-04-28
- Volume
- 45
- Issue
- 4
- Pages
- 515-536
- ISSN
- 0020-4277 (ISSN-L)
- 1573-1952
- OpenAlex
- W2607527491
- Cited by
- 98
- References
- 72
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 11 · 2023: 21 · 2022: 9 · 2021: 12 · 2020: 14 · 2019: 8 · 2018: 6 · 2017: 1
- FWCI
- 10.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Instructional Science (publishedVersion)
- Funders
- German Federal Ministry of Education and Research (01PL12057)
- 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
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- cognitive load, multimedia learning, seductive details, eye movements, rhythm method, cognitive effort, task difficulty, retention, comprehension, subjective ratings
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