Timing and Frequency of Mental Effort Measurement: Evidence in Favour of Repeated Measures
Open accessAbstract
Summary: Subjective mental effort rating scales are widely used in research on learning, instruction and training. However, the timing and frequency of application of those rating scales differ between studies. Some apply a rating scale repeatedly after every task in a learning or test phase, whereas others do so only once at the end of a phase. Four experiments are presented that investigated how timing and frequency of mental effort measurements affect the results obtained. The findings from Experiment 1 (between‐subjects) and 2 (within‐subjects), using different arrangements of simple and complex tasks, showed that a single rating after a series of tasks resulted in a higher mental effort score than the average of ratings provided immediately after every task. A similar result was obtained in Experiment 3 with series of complex tasks, but not with simple tasks. Experiment 4 showed that knowing beforehand that mental effort rating will be required after completing all tasks results in lower scores, but average retrospective ratings per task still differed from a single retrospective rating. Taken together, these experiments suggest that timing and frequency of effort ratings do affect the results obtained and that repeatedly measuring mental effort after each task in the series seems to be preferable. Copyright © 2012 John Wiley & Sons, Ltd.
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?
The one measure after the instruction or test phase was always higher than the average of multiple measurements during the learning or test phase.
“Results showed that the one measure after the instruction or test phase was always higher than the average of multiple measurements during the learning or test phase.”
From Cognitive Architecture and Instructional Design: 20 Years Later (2019) · cites this paper as Gog et al. (2012) and Schmeck et al. (2015)
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
Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001) · Review of General Psychology · doi:10.1037/1089-2680.5.4.323 · Cited by 7,678 · 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
Self-citationSweller, J., Ayres, P., & Kalyuga, S. (2011) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_446 · Cited by 5,538 · see citing works
Book Review: Protocol Analysis: Verbal Reports as Data
Venkatesan, M., Ericsson, K. A., & Simon, H. A. (1986) · Journal of Marketing Research · doi:10.2307/3151491 · Cited by 4,361 · see citing works
Protocol Analysis: Verbal Reports as Data
Ericsson, K. A., & Simon, H. A. (1993) · doi:10.7551/mitpress/5657.001.0001 · Cited by 3,537 · 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
Self-citationKanfer, R., & Ackerman, P. (1989) · Journal of Applied Psychology · doi:10.1037/0021-9010.74.4.657 · Cited by 2,177 · 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
Self-citationKanfer, R., & Ackerman, P. L. (1989) · Journal of Applied Psychology · doi:10.1037//0021-9010.74.4.657 · Cited by 1,408 · see citing works
Paas, F. G. W. C., & Van Merriënboer, J. J. G. (1994) · Journal of Educational Psychology · doi:10.1037/0022-0663.86.1.122 · Cited by 1,198 · see citing works
Self-citationPaas, F. G. W. C., & Van Merriënboer, J. J. G. (1993) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872089303500412 · Cited by 921 · see citing works
Self-citationMeasurement of Cognitive Load in Instructional Research
Paas, F. G. W. C., van Merriënboer, J. J. G., & Adam, J. J. (1994) · Perceptual and Motor Skills · doi:10.2466/pms.1994.79.1.419 · Cited by 731 · see citing works
Self-citationAssimilating complex information
Pollock, E., Chandler, P., & Sweller, J. (2002) · Learning and Instruction · doi:10.1016/s0959-4752(01)00016-0 · Cited by 692 · see citing works
Protocol analysis: Verbal reports as data, Rev. ed.
Ericsson, K. A., & Simon, H. A. (1993) · Cited by 655 · see citing works
When problem solving is superior to studying worked examples.
Kalyuga, S., Chandler, P., Tuovinen, J., & Sweller, J. (2001) · Journal of Educational Psychology · doi:10.1037/0022-0663.93.3.579 · Cited by 548 · see citing works
Instructional Efficiency: Revisiting the Original Construct in Educational Research
van Gog, T., & Paas, F. (2008) · Educational Psychologist · doi:10.1080/00461520701756248 · Cited by 473 · see citing works
Self-citationPaas, F., Tuovinen, J. E., van Merriënboer, J. J. G., & Aubteen Darabi, A. (2005) · Educational Technology Research and Development · doi:10.1007/bf02504795 · Cited by 401 · see citing works
Self-citationUsing 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
Yeo, G., & Neal, A. F. (2004) · Journal of Applied Psychology · doi:10.1037/0021-9010.89.2.231 · Cited by 368 · see citing works
van Gog, T., PAAS, F. G. W. C., van Merriënboer, J. J. G., & Witte, P. (2005) · Journal of Experimental Psychology Applied · doi:10.1037/1076-898x.11.4.237 · Cited by 359 · see citing works
Self-citationAttention 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 307 · see citing works
Self-citationvan Merriënboer, J. J. G., Schuurman, J. G., de Croock, M. B. M., & Paas, F. G. W. C. (2002) · Learning and Instruction · doi:10.1016/s0959-4752(01)00020-2 · Cited by 298 · cited 2× · see citing works
“…Nievelstein, Van Gog, Van Dijck, & Boshuizen, 2011; Paas, 1992; Paas, & Van Merriënboer, 1994; Spanjers, Wouters, Van Gog, & Van Merriënboer, 2011; Van Gog, Kester, & Paas, 2011; Van Gog, Paas, & Van Merriënboer, 2006, 2008; Van Merriënboer et al., 2002; Wouters, Paas, & Van Merriënboer, 2009).”
BackgroundSelf-citationMemory load and the cognitive pupillary response in aging
Van Gerven, P. W. M., Paas, F., Van Merriënboer, J. J. G., & Schmidt, H. G. (2004) · Psychophysiology · doi:10.1111/j.1469-8986.2003.00148.x · Cited by 292 · see citing works
Self-citationKirschner, F., PAAS, F. G. W. C., & Kirschner, P. A. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.008 · Cited by 284 · see citing works
Self-citationEffects of worked examples, example-problem, and problem-example pairs on novices’ learning
van Gog, T., Kester, L., & Paas, F. (2011) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2010.10.004 · Cited by 283 · see citing works
Self-citationXie, B., & Salvendy, G. (2000) · Work & Stress · doi:10.1080/026783700417249 · Cited by 247 · see citing works
Marcus, N., Cooper, M., & Sweller, J. (1996) · Journal of Educational Psychology · doi:10.1037/0022-0663.88.1.49 · Cited by 244 · see citing works
Effects of process-oriented worked examples on troubleshooting transfer performance
van Gog, T., PAAS, F. G. W. C., & van Merriënboer, J. J. G. (2006) · Learning and Instruction · doi:10.1016/j.learninstruc.2006.02.003 · Cited by 222 · see citing works
Self-citationvan Gog, T., PAAS, F. G. W. C., & van Merriënboer, J. J. G. (2007) · Learning and Instruction · doi:10.1016/j.learninstruc.2007.03.003 · Cited by 190 · see citing works
Self-citationGerjets, P., Scheiter, K., & Catrambone, R. (2006) · Learning and Instruction · doi:10.1016/j.learninstruc.2006.02.007 · Cited by 178 · see citing works
An expertise reversal effect of segmentation in learning from animated worked-out examples
Spanjers, I. A. E., Wouters, P., van Gog, T., & van Merriënboer, J. J. G. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.05.011 · Cited by 175 · see citing works
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 · see citing works
Differential effects of problem-solving demands on individual and collaborative learning outcomes
Kirschner, F., PAAS, F. G. W. C., Kirschner, P. A., & Janssen, J. J. H. M. (2011) · Learning and Instruction · doi:10.1016/j.learninstruc.2011.01.001 · Cited by 156 · see citing works
Self-citationSubjective cognitive effort: a model of states, traits, and time.
Yeo, G., & Neal, A. (2008) · Journal of Applied Psychology · doi:10.1037/0021-9010.93.3.617 · Cited by 137 · see citing works
Conceptions of Efficiency: Applications in Learning and Problem Solving
Hoffman, B. H., & Schraw, G. J. (2010) · Educational Psychologist · doi:10.1080/00461520903213618 · Cited by 118 · see citing works
Scheiter, K., Gerjets, P. H., Vollmann, B., & Catrambone, R. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.02.004 · Cited by 87 · see citing works
Yeo, G., Loft, S. D., Xiao, T., & Kiewitz, C. (2009) · Journal of Applied Psychology · doi:10.1037/a0015044 · Cited by 82 · see citing works
Just-in-time, schematic supportive information presentation during cognitive skill acquisition
Liesbeth Kester, A., Lehnen, C., Gerven, P. W. M. V., & Kirschner, P. A. (2005) · Computers in Human Behavior · doi:10.1016/j.chb.2005.01.008 · Cited by 79 · see citing works
Observational learning from animated models: Effects of modality and reflection on transfer
Wouters, P., Paas, F., & van Merriënboer, J. J. G. (2009) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2008.03.001 · Cited by 71 · see citing works
Self-citationCombining cognitive and affective support in order to promote learning
Huk, T., & Ludwigs, S. (2008) · Learning and Instruction · doi:10.1016/j.learninstruc.2008.09.001 · Cited by 67 · see citing works
Nievelstein, F., van Gog, T., DIJCK, G. V., & Boshuizen, H. P. A. (2010) · Applied Cognitive Psychology · doi:10.1002/acp.1707 · Cited by 14 · see citing works
Flagged first, then by citations
1 of the 43 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
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
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
Self-citationSignaling in virtual reality influences learning outcome and cognitive load
Albus, P., Vogt, A., & Seufert, T. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104154 · Cited by 360 · see citing works
The evolution of cognitive load theory and its application to medical education
Leppink, J., & Van den Heuvel, A. (2015) · Perspectives on Medical Education · doi:10.1007/s40037-015-0192-x · Cited by 299 · see citing works
The interplay between self-regulation in learning and cognitive load
Seufert, T. (2018) · Educational Research Review · doi:10.1016/j.edurev.2018.03.004 · Cited by 227 · 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
Self-citationCognitive 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
Differentiating Different Types of Cognitive Load: a Comparison of Different Measures
Korbach, A., Brünken, R., & Park, B. (2018) · Educational Psychology Review · doi:10.1007/s10648-017-9404-8 · Cited by 153 · see citing works
Building pipelines for educational data using AI and multimodal analytics: A “grey‐box” approach
Sharma, K., Papamitsiou, Z. K., & Giannakos, M. N. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12854 · Cited by 131 · see citing works
Cognitive Load Theory: New Directions and Challenges
Ayres, P., & PAAS, F. G. W. C. (2012) · Applied Cognitive Psychology · doi:10.1002/acp.2882 · Cited by 130 · see citing works
Self-citationEffects of prior knowledge on collaborative and individual learning
Zambrano R., J., Kirschner, F., Sweller, J., & Kirschner, P. A. (2019) · Learning and Instruction · doi:10.1016/j.learninstruc.2019.05.011 · Cited by 121 · see citing works
Self-citationThe Role of Mental Effort in Fostering Self-Regulated Learning with Problem-Solving Tasks
van Gog, T., Hoogerheide, V., & van Harsel, M. (2020) · Educational Psychology Review · doi:10.1007/s10648-020-09544-y · Cited by 119 · see citing works
Can collaborative learning improve the effectiveness of worked examples in learning mathematics?
Retnowati, E., Ayres, P., & Sweller, J. (2016) · Journal of Educational Psychology · doi:10.1037/edu0000167 · Cited by 115 · see citing works
Cognitive load theory: Practical implications and an important challenge
Leppink, J. (2017) · Journal of Taibah University Medical Sciences · doi:10.1016/j.jtumed.2017.05.003 · Cited by 120 · see citing works
Measuring Cognitive Load in Embodied Learning Settings
Skulmowski, A., & Rey, G. D. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01191 · Cited by 108 · see citing works
Getting the point: Tracing worked examples enhances learning
Hu, F., Ginns, P., & Bobis, J. (2014) · Learning and Instruction · doi:10.1016/j.learninstruc.2014.10.002 · Cited by 106 · see citing works
Measurement of cognitive load in multimedia learning: a comparison of different objective measures
Korbach, A., Brünken, R., & Park, B. (2017) · Instructional Science · doi:10.1007/s11251-017-9413-5 · Cited by 98 · see citing works
Social Media and Distraction: An Experience Sampling Study among Adolescents
Siebers, T., Beyens, I., Pouwels, J. L., & Valkenburg, P. M. (2021) · Media Psychology · doi:10.1080/15213269.2021.1959350 · Cited by 99 · see citing works
Measuring Cognitive Load: Are There More Valid Alternatives to Likert Rating Scales?
Ouwehand, K., Kroef, A. V. D., Wong, J., & Paas, F. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.702616 · Cited by 90 · see citing works
Self-citationHow to sequence video modeling examples and inquiry tasks to foster scientific reasoning
Kant, J. M., Scheiter, K., & Oschatz, K. (2017) · Learning and Instruction · doi:10.1016/j.learninstruc.2017.04.005 · Cited by 85 · see citing works
Worth the Effort: the Start and Stick to Desirable Difficulties (S2D2) Framework
de Bruin, A. B. H., Biwer, F., Hui, L., Onan, E., David, L., & Wiradhany, W. (2023) · Educational Psychology Review · doi:10.1007/s10648-023-09766-w · Cited by 79 · see citing works
Chang, C., & Yang, S. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00385-7 · Cited by 68 · see citing works
Collaborative learning effects when students have complete or incomplete knowledge
Retnowati, E., Ayres, P., & Sweller, J. (2018) · Applied Cognitive Psychology · doi:10.1002/acp.3444 · Cited by 66 · see citing works
Fitbit for learning: Towards capturing the learning experience using wearable sensing
Giannakos, M. N., Sharma, K., Papavlasopoulou, S., Pappas, I. O., & Kostakos, V. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.102384 · Cited by 70 · see citing works
Predicting learners' effortful behaviour in adaptive assessment using multimodal data
Sharma, K., Papamitsiou, Z. K., Olsen, J. K., & Giannakos, M. N. (2020) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3375462.3375498 · Cited by 66 · 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
The Association between Motivation, Affect, and Self-regulated Learning When Solving Problems
Baars, M., Wijnia, L., & PAAS, F. G. W. C. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01346 · Cited by 71 · see citing works
Self-citationDistractors in Parsons Problems Decrease Learning Efficiency for Young Novice Programmers
Harms, K. J., Chen, J., & Kelleher, C. L. (2016) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/2960310.2960314 · Cited by 60 · see citing works
Baars, M., & Wijnia, L. (2018) · Learning and Individual Differences · doi:10.1016/j.lindif.2018.05.007 · Cited by 59 · see citing works
A Current View on Dual-Task Paradigms and Their Limitations to Capture Cognitive Load
Bijarsari, S. E. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.648586 · Cited by 54 · see citing works
Effects of performance feedback valence on perceptions of invested mental effort
Raaijmakers, S. F., Baars, M., Schaap, L., PAAS, F. G. W. C., & van Gog, T. (2016) · Learning and Instruction · doi:10.1016/j.learninstruc.2016.12.002 · Cited by 54 · see citing works
Self-citationData analysis in medical education research: a multilevel perspective
Leppink, J. (2015) · Perspectives on Medical Education · doi:10.1007/s40037-015-0160-5 · Cited by 53 · see citing works
van Peppen, L. M., Verkoeijen, P. P. J. L., Heijltjes, A. E. G., Janssen, E. M., & van Gog, T. (2021) · Instructional Science · doi:10.1007/s11251-021-09559-0 · Cited by 64 · see citing works
Prisacari, A. A., & Danielson, J. A. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.07.044 · Cited by 45 · see citing works
Prediction of intrinsic and extraneous cognitive load with oculometric and biometric indicators
Ekin, M., Krejtz, K., Duarte, C., Duchowski, A. T., & Krejtz, I. (2025) · Scientific Reports · doi:10.1038/s41598-025-89336-y · Cited by 44 · see citing works
Self-explaining steps in problem-solving tasks to improve self-regulation in secondary education.
Baars, M., Leopold, C., & PAAS, F. G. W. C. (2017) · Journal of Educational Psychology · doi:10.1037/edu0000223 · Cited by 43 · see citing works
Self-citationHoch, E., Sidi, Y., Ackerman, R., Hoogerheide, V., & Scheiter, K. (2023) · Educational Psychology Review · doi:10.1007/s10648-023-09779-5 · Cited by 39 · see citing works
Metacognitive monitoring and help-seeking decisions on mathematical equivalence problems
Nelson, L. J., & Fyfe, E. R. (2019) · Metacognition and Learning · doi:10.1007/s11409-019-09203-w · Cited by 40 · see citing works
Huang, X. (2016) · Interactive Learning Environments · doi:10.1080/10494820.2015.1121154 · Cited by 38 · see citing works
Alyami, H., Alawami, M., Lyndon, M., Alyami, M. M., Coomarasamy, C., Henning, M. A., Hill, A. G., & Sundram, F. (2019) · JMIR Serious Games · doi:10.2196/13748 · Cited by 32 · see citing works
Wijnia, L., Loyens, S. M. M., Derous, E., & Schmidt, H. G. (2014) · Instructional Science · doi:10.1007/s11251-014-9325-6 · Cited by 32 · see citing works
Pointing and tracing enhance computer-based learning
Ginns, P., & King, V. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-09997-0 · Cited by 31 · see citing works
Asghar, A., Sladeczek, I. E., Mercier, J., & Beaudoin, E. (2017) · Canadian Psychology/Psychologie canadienne · doi:10.1037/cap0000111 · Cited by 33 · see citing works
Skuballa, I. T., Dammert, A., & Renkl, A. (2018) · Learning and Instruction · doi:10.1016/j.learninstruc.2018.02.001 · Cited by 28 · see citing works
Mavilidi, M. F., & Zhong, L. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09463-7 · Cited by 30 · see citing works
E‐learning, dual‐task, and cognitive load: The anatomy of a failed experiment
Nuland, S. E. V., & Rogers, K. A. (2015) · Anatomical Sciences Education · doi:10.1002/ase.1576 · Cited by 28 · see citing works
Jovanović, J., Gašević, D., Pardo, A., Dawson, S., & Whitelock‐Wainwright, A. (2019) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3303772.3303782 · Cited by 27 · see citing works
Yen, C.-H., Chen, I., Lai, S.-C., & Chuang, Y.-R. (2015) · Educational Technology & Society · Cited by 27 · see citing works
Mental Effort, Workload, Time on Task, and Certainty: Beyond Linear Models
Leppink, J., & Pérez-Fuster, P. (2019) · Educational Psychology Review · doi:10.1007/s10648-018-09460-2 · Cited by 26 · see citing works
Mental effort and discomfort: Testing the peak-end effect during a cognitively demanding task
Hsu, C., Propp, L., Panetta, L., Martin, S. M., Dentakos, S., Toplak, M. E., & Eastwood, J. D. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191479 · Cited by 26 · see citing works
Firms' use of predictive artificial intelligence for economic value creation and appropriation
Haftor, D., Costa-Climent, R., & Ribeiro-Navarrete, S. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102836 · Cited by 27 · see citing works
The Beast of Aggregating Cognitive Load Measures in Technology-Based Learning.
Leppink, J., & van Merriënboer, J. J. G. (2015) · Research Publications (Maastricht University) · Cited by 25 · see citing works
Preparing learners to self-explain video examples: Text or video introduction?
Hefter, M. H., & Berthold, K. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106404 · Cited by 24 · see citing works
Evaluating instructional designs with mental workload assessments in university classrooms
Longo, L., & Orrú, G. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1864019 · Cited by 24 · see citing works
Learning from Concept Mapping and Hypertext: An Eye Tracking Study
Amadieu, F., Salmerón, L., Cegarra, J., Paubel, P., Lemarié, J., & Chevalier, A. (2015) · HAL · Cited by 24 · see citing works
How to sequence video modeling examples and inquiry tasks to foster scientific reasoning
Scheiter, K., Oschatz, K., & Kant, J. M. (2017) · Learning and Instruction · doi:10.15496/publikation-28697 · Cited by 23 · see citing works
A testing load: a review of cognitive load in computer and paper-based learning and assessment
Pengelley, J., Whipp, P. R., & Malpique, A. (2024) · Technology Pedagogy and Education · doi:10.1080/1475939x.2024.2367517 · Cited by 27 · see citing works
Information flow and cognition affect each other: Evidence from digital learning
Sharma, K., Mangaroska, K., van Berkel, N., Giannakos, M. N., & Kostakos, V. (2020) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2020.102549 · Cited by 24 · see citing works
David, L., Biwer, F., Baars, M., Wijnia, L., PAAS, F. G. W. C., & de Bruin, A. B. H. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09903-z · Cited by 26 · see citing works
Self-citationRecognizing biased reasoning: Conflict detection during decision-making and decision-evaluation
Janssen, E. M., Velinga, S. B., Neys, W. D., & van Gog, T. (2021) · Acta Psychologica · doi:10.1016/j.actpsy.2021.103322 · Cited by 20 · see citing works
Reducing intrinsic cognitive load in percentage change problems: The equation approach
Ngu, B. H., Phan, H. P., Hong, K. S., & Usop, H. H. (2016) · Learning and Individual Differences · doi:10.1016/j.lindif.2016.08.029 · Cited by 20 · see citing works
Analysing mouse activity for cognitive load detection
Arshad, S., Wang, Y., & Chen, F. (2013) · Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration · doi:10.1145/2541016.2541083 · Cited by 18 · see citing works
Engineering Motivation Using the Belief-Expectancy-Control Framework
E. Clark, R., & Saxberg, B. (2018) · Interdisciplinary Education and Psychology · doi:10.31532/interdiscipeducpsychol.2.1.004 · Cited by 17 · see citing works
Schuessler, K., Fischer, V., & Walpuski, M. (2024) · Instructional Science · doi:10.1007/s11251-024-09692-6 · Cited by 16 · see citing works
In-Page Navigation Aids for Screen-Reader Users with Automatic Topicalisation and Labelling
Silva, J. S. R., Cardoso, P. C. F., de Bettio, R. W., Tavares, D. C., Silva, C. A., Watanabe, W. M., & Freire, A. P. (2024) · ACM Transactions on Accessible Computing · doi:10.1145/3649223 · Cited by 17 · see citing works
Wijnia, L., & Baars, M. (2021) · Instructional Science · doi:10.1007/s11251-020-09531-4 · Cited by 17 · see citing works
Jimmy Zambrano, R., Kirschner, F., Sweller, J., & Kirschner, P. A. (2023) · British Journal of Educational Psychology · doi:10.1111/bjep.12603 · Cited by 21 · see citing works
Self-citationHaavisto, M., Jaakkola, T., & Lepola, J. (2023) · Computers & Education · doi:10.1016/j.compedu.2023.104775 · Cited by 16 · see citing works
Hsu, Y., Gao, Y., Liu, T. C., & Sweller, J. (2015) · Educational Technology & Society · Cited by 13 · see citing works
Studies in the Efficacy of Motion Graphics
Barnes, S. R. (2017) · Digital Journalism · doi:10.1080/21670811.2017.1279020 · Cited by 13 · see citing works
The effect of practice test modality on perceived mental effort and delayed final test performance
Coppens, L. C., de Jonge, M., van Gog, T., & Kester, L. (2020) · Journal of Cognitive Psychology · doi:10.1080/20445911.2020.1822366 · Cited by 7 · see citing works
Chang, C., & Yang, S. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2023.2209600 · Cited by 11 · see citing works
The Effects of Cycling on a Desk Bike on Attention, Retention and Mood during a Video Lecture
Ruiter, M., Loyens, S. M. M., & PAAS, F. G. W. C. (2017) · Applied Cognitive Psychology · doi:10.1002/acp.3355 · Cited by 12 · see citing works
Self-citationA 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
Galoyan, T., Betts, K., Abramian, H., Reddy, P., İzzetoğlu, K., & Shewokis, P. A. (2021) · Brain Sciences · doi:10.3390/brainsci11010045 · Cited by 11 · see citing works
Que, Y. P., Zheng, Y., Hsiao, J. H., & Hu, X. (2025) · Scientific Reports · doi:10.1038/s41598-025-03052-1 · Cited by 11 · see citing works
Sudár, A., & Csapó, Á. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e31717 · Cited by 10 · see citing works
Active ingredients and factors for deep processing during an example-based training intervention
Hefter, M. H., & Berthold, K. (2021) · Learning Environments Research · doi:10.1007/s10984-020-09347-6 · Cited by 12 · see citing works
Wijnia, L. (2014) · RePub (Erasmus University Rotterdam) · doi:10.13140/rg.2.2.32805.55521 · Cited by 12 · see citing works
CURY, M., Whitworth, E., Barfort, S., Bochereau, S., Browder, J., Jonker, T. R., Kim, K. S., KRENCHEL, M., RAMSEY‐ELLIOT, M., Schüür, F., et al. (2019) · Ethnographic Praxis in Industry Conference Proceedings · doi:10.1111/1559-8918.2019.01284 · Cited by 9 · see citing works
Meier, J., Hesse, P., Abele, S., Renkl, A., & Glogger‐Frey, I. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12991 · Cited by 9 · see citing works
Chen, X. (2024) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2024.102301 · Cited by 8 · see citing works
Pengelley, J., Whipp, P. R., & Rovis-Hermann, N. (2023) · Educational Psychology Review · doi:10.1007/s10648-023-09781-x · Cited by 10 · see citing works
Assessment of dispositional and contextual variables in educational settings: IEPA and AYES scales
Estrada, J. A. C., González-Pienda, J. A., Mendez‐Giménez, A., Fernández‐Río, J., Losa, J. L. F., & de Mesa, C. G. G. (2014) · Psicothema · doi:10.7334/psicothema2013.113 · Cited by 8 · see citing works
Barnes, S. R. (2016) · Animation · doi:10.1177/1746847716637823 · Cited by 8 · see citing works
Appearance and explanation: advancements in the evaluation of journalistic information graphics
Barnes, S. R. (2016) · Journal of Visual Literacy · doi:10.1080/1051144x.2016.1278109 · Cited by 8 · see citing works
Rerhaye, L., Blaser, T., & Alexander, T. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-96059-3_38 · Cited by 8 · see citing works
Pei, L., Jong, M. S., Shang, J., & Ouyang, G. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13535 · Cited by 7 · see citing works
van Gog, T., Janssen, E. M., Lucas, F., & Taheij, M. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09861-6 · Cited by 9 · see citing works
Kühl, T., & Münzer, S. (2019) · Instructional Science · doi:10.1007/s11251-019-09498-x · Cited by 7 · see citing works
When Negative Turns Positive and Vice Versa: The Case of Repeated Measurements
Leppink, J. (2017) · Health Professions Education · doi:10.1016/j.hpe.2017.03.004 · Cited by 7 · see citing works
Song, D. (2013) · Interactive Learning Environments · doi:10.1080/10494820.2013.862553 · Cited by 7 · see citing works
Barnes, S. R. (2017) · Visual Communication · doi:10.1177/1470357217739223 · Cited by 6 · see citing works
Silva, J. S. R., Freire, A. P., & Cardoso, P. C. F. (2022) · International Web for All Conference (W4A) · doi:10.1145/3493612.3520470 · Cited by 6 · see citing works
Pignatiello, G. A., Daly, B. J., Demaree, H. A., Moore, S. M., & Hickman, R. L. (2019) · Applied Nursing Research · doi:10.1016/j.apnr.2019.151192 · Cited by 6 · see citing works
Krieglstein, F., Schmitz, M., Wesenberg, L., & Rey, G. D. (2024) · Applied Cognitive Psychology · doi:10.1002/acp.4247 · Cited by 5 · see citing works
Schuessler, K., Striewe, M., Püschner, D., Luetzen, A., Goedicke, M., Giese, M., & Walpuski, M. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1355078 · Cited by 5 · see citing works
Schuessler, K., Rodemer, M., Giese, M., & Walpuski, M. (2024) · Journal of Chemical Education · doi:10.1021/acs.jchemed.4c00303 · Cited by 8 · 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
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
- Authors
- van Gog, T., Kirschner, F., Kester, L., & Paas, F.
- Affiliations
- Institute of Psychology Erasmus University Rotterdam Rotterdam The Netherlands
- Utrecht University (NL)
- Centre for Learning Sciences and Technologies Open University of The Netherlands Heerlen The Netherlands
- UNSW Sydney (AU)
- Venue
- Applied Cognitive Psychology
- Publisher
- Wiley
- Published
- 2012-11
- Volume
- 26
- Issue
- 6
- Pages
- 833-839
- ISSN
- 0888-4080 (ISSN-L)
- 1099-0720
- OpenAlex
- W2147218516
- Cited by
- 130
- References
- 43
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 21 · 2023: 11 · 2022: 5 · 2021: 11 · 2020: 9 · 2019: 13 · 2018: 8 · 2017: 15 · 2016: 8 · 2015: 7 · 2014: 5 · 2013: 2 · 2012: 2
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- green
- research.ou.nl
- Licence
- Locations
- Applied Cognitive Psychology (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- DSpace (Open University in the Netherlands) (publishedVersion, cc-by-nc-sa)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- DSpace (Open University in the Netherlands) (submittedVersion, cc-by-nc-sa)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- cognitive effort, repeated measures, task complexity, cognitive load, learning and training
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