The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Cognitive Load Measurement as a Means to Advance Cognitive Load Theory
Abstract
In this article, we discuss cognitive load measurement techniques with regard to their contribu-tion to cognitive load theory (CLT). CLT is concerned with the design of instructional methods that efficiently use people’s limited cognitive processing capacity to apply acquired knowledge and skills to new situations (i.e., transfer). CLT is based on a cognitive architecture that consists of a limited working memory with partly independent processing units for visual and auditory information, which interacts with an unlimited long-term memory. These structures and func-tions of human cognitive architecture have been used to design a variety of novel efficient in-structional methods. The associated research has shown that measures of cognitive load can re-veal important information for CLT that is not necessarily reflected by traditional performance-based measures. Particularly, the combination of performance and cognitive load measures has been identified to constitute a reliable estimate of the mental efficiency of instruc-tional methods. The discussion of previously used cognitive load measurement techniques and their role in the advancement of CLT is followed by a discussion of aspects of CLT that may benefit by measurement of cognitive load. Within the cognitive load framework, we also discuss some promising new techniques.
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
“One of the most frequently used methods for measuring cognitive load is self-reporting, as becomes clear from the overview by Paas et al. (2003b).”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“The more often cognitive load is measured the more accurate the view of the actual cognitive load is, certainly if it is assumed that cognitive load may vary during the learning process (Paas et al. 2003b).”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“The claims by Paas et al. (2003b) are based on work by Paas et al. (1994) who presented an analysis of the reliability and sensitivity of the subjective rating method. Their data, again, come from two other studies, namely Paas (1992) and Paas and van Merrie ¨nboer (1994b).”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“In their overview of cognitive load measures, Paas et al. (2003b) claim that measures of cognitive load are related to differences in instructional formats in the majority of studies. This conclusion seems not to be completely valid. Not all of the studies they mention have shown such results.”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“Paas et al. (2003b, p. 66), however, claim that the uni-dimensional scale is reliable, sensitive to small differences in cognitive load, and valid (and non-intrusive).”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“With regard to the assessment factors, mental load is imposed by the task or environmental demands. This task-centered dimension, considered independent of subject characteristics, is constant for a given task in a given environment”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“Three different groups of techniques are used to measure cognitive load: self-ratings through questionnaires, physiological measures (e.g., heart rate variability, fMRI), and secondary tasks (for an overview see, Paas et al. 2003b).”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“For example, in their overview Paas et al. (2003b, p. 69) state that in the original study by Paas (1992) it was found that worked-out examples and completion problems were superior in terms of extraneous load, but extraneous load during learning was not measured in this study; beyond that, no differences between conditions were found on invested mental effort during the learning process.”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“Paas et al. (2003b) state that both instantaneous load and overall load are important for cognitive load theory, but since the theory only refers to addition of types of load and to overload; only instantaneous load should be considered for these purposes.”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“Pupillary reactions are also used and are regarded as sensitive for cognitive load variations (Paas et al. 2003b; van Gog et al. 2009), but have only been used in a limited number of studies (e.g., Schultheis and Jameson 2004). There are, however, indications that the sensitivity of this measure to workload changes diminishes with age of the participants (van Gerven et al. 2004).”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“These considerations show that the time aspect is not well considered when measuring cognitive load.”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. (2003b)
In the citing paper
“According to Paas et al. (2003b) physiological measures are suited for capturing instantaneous load because they can monitor the load constantly, and overall load is often measured with questionnaire based measures. However, physiological measures are very rarely used in cognitive load research, whereas questionnaire measures of overall load prevail.”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“Paas et al. (2003b), citing Xie and Salvendy (2000), distinguish between different types of load in relation to time: instantaneous load, peak load, accumulated load, average load, and overall load.”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Paas et al. 2003b
In the citing paper
“Paas et al. (2003) and van Gog and Paas (2008) have noted that the subjective rating scale is used in many different ways than originally suggested by Paas and van Merriënboer (1994a, 1994b).”
From Cognitive Architecture and Instructional Design: 20 Years Later (2019) · cites this paper as Paas et al. (2003) and van Gog and Paas (2008)
In the citing paper
“Among other differences, researchers have used different verbal labels (i.e. ' task difficulty ' instead of ' invested mental effort ' ), used fewer categories (e.g. 5 or 7 instead of 9) and used only one measurement after all learning or test tasks, instead of an average of multiple measurements after each learning and test task.”
From Cognitive Architecture and Instructional Design: 20 Years Later (2019) · cites this paper as Paas et al. (2003) and van Gog and Paas (2008)
In the citing paper
“However, secondary task techniques have been criticised for their intrusiveness (i.e. imposing an extra cognitive load that may interfere with the primary task; Paas et al. 2003) and inability to differentiate between different types of cognitive load.”
From Cognitive Architecture and Instructional Design: 20 Years Later (2019) · cites this paper as Paas et al. 2003
In the citing paper
“Mental effort has been defined by Paas et al., as “the cognitive capacity that is actually allocated to accommodate the demands imposed by the task; thus, it can be considered to reflect the actual cognitive load” (Paas, Tuovinen et al., 2003, p. 64; see also Paas & Van Merriënboer, 1994b).”
From Effects of pairs of problems and examples on task performance and different types of cognitive load (2014) · cites this paper as Paas, Tuovinen et al., 2003
In the citing paper
“Subjective rating scales like Paas' (1992) nine-point unidimensional mental effort rating scale have been used intensively for measuring the overall cognitive load experienced by learners (for reviews : Paas, Tuovinen, Tabbers, & Van Gerven, 2003;Van Gog & Paas, 2008).”
From Effects of pairs of problems and examples on task performance and different types of cognitive load (2014) · cites this paper as Paas, Tuovinen, Tabbers, & Van Gerven, 2003
In the citing paper
“The science of cognitive load quantification has been traditionally separated into physiologic measurements and psychometric measurements of this construct (Paas et al. 2003).”
From Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool (2017) · cites this paper as Paas et al. 2003
In the citing paper
“It has been shown that measures of cognitive load can reveal important information about CLT beyond traditional performance metrics (Paas et al. 2003).”
From Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool (2017) · cites this paper as Paas et al. 2003
In the citing paper
“This scale has been widely used in the literature and has been shown to be a reliable and valid measure of overall cognitive load (Ayres 2006;Paas et al. 2003).”
From Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool (2017) · cites this paper as Paas et al. 2003
In the citing paper
“and therefore the addition of Twitter to the intervention did not increase the burden on working memory [36].”
From Tweets, Apps, and Pods: Results of the 6-Month Mobile Pounds Off Digitally (Mobile POD) Randomized Weight-Loss Intervention Among Adults (2011) · cites this paper as [36]
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
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
Self-citationPaas, F. G. W. C. (1992) · Journal of Educational Psychology · doi:10.1037/0022-0663.84.4.429 · Cited by 2,150
Self-citationKalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_4 · Cited by 1,927
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 · cited 1×
“The first attempt was made by Sweller (1988) in his study on cognitive load during problem solving.”
BackgroundSelf-citationInstructional 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
Self-citationMayer, R. E., & Chandler, P. (2001) · Journal of Educational Psychology · doi:10.1037/0022-0663.93.2.390 · Cited by 762
Assimilating complex information
Pollock, E., Chandler, P., & Sweller, J. (2002) · Learning and Instruction · doi:10.1016/s0959-4752(01)00016-0 · Cited by 692 · cited 4×
“Furthermore, differential effects on memory load have been found in studies on expertise (Kalyuga, Chandler, & Sweller, 1998, 2000, 2001; Pollock et al., 2002; Tuovinen & Sweller, 1999) and on age differences (Van Gerven, Paas, van Merriënboer, Hendriks, et al.”
BackgroundMethodInfluentialWhen 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 · cited 1×
“Moreover, worked-out examples and completion problems have shown to be superior to conventional problems, not only in terms of test performance but also in terms of extraneous load (Paas, 1992; Paas & van Merriënboer, 1994b; Sweller, 1988; Van Gerven, Paas, van Merriënboer, Hendriks, & Schmidt, 2002; van Merriënboer,…”
BackgroundSelf-citationSignaling as a cognitive guide in multimedia learning.
Mautone, P. D., & Mayer, R. E. (2001) · Journal of Educational Psychology · doi:10.1037/0022-0663.93.2.377 · Cited by 444
Cited by
Sorted by citations
Nine Ways to Reduce Cognitive Load in Multimedia Learning
Mayer, R. E., & Moreno, R. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_6 · Cited by 4,207
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
Self-citationCognitive Load Theory and Complex Learning: Recent Developments and Future Directions
van Merriënboer, J. J. G., & Sweller, J. (2005) · Educational Psychology Review · doi:10.1007/s10648-005-3951-0 · Cited by 2,206
Element Interactivity and Intrinsic, Extraneous, and Germane Cognitive Load
Sweller, J. (2010) · Educational Psychology Review · doi:10.1007/s10648-010-9128-5 · Cited by 2,020
Cognitive load theory in health professional education: design principles and strategies
Van Merriënboer, J. J. G., & Sweller, J. (2010) · Medical Education · doi:10.1111/j.1365-2923.2009.03498.x · Cited by 1,511
Cognitive 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
Paas, F., Renkl, A., & Sweller, J. (2004) · Instructional Science · doi:10.1023/b:truc.0000021806.17516.d0 · Cited by 1,054
Self-citationDevelopment 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
Self-citationExpertise Reversal Effect and Its Implications for Learner-Tailored Instruction
Kalyuga, S. (2007) · Educational Psychology Review · doi:10.1007/s10648-007-9054-3 · Cited by 1,056
“The instructional efficiency is usually defined as the difference between standardized scores for performance and mental effort ratings (Paas and van Merrienboer 1993; Paas et al. 2003 ).”
BackgroundDirect 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
Cognitive 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
Skulmowski, A., & Xu, K. M. (2022) · Educational Psychology Review · doi:10.1007/s10648-021-09624-7 · Cited by 678
Moreno, R. (2004) · Instructional Science · doi:10.1023/b:truc.0000021811.66966.1d · Cited by 615
Klepsch, M., Schmitz, F., & Seufert, T. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01997 · Cited by 601
DeLeeuw, K. E., & Mayer, R. E. (2008) · Journal of Educational Psychology · doi:10.1037/0022-0663.100.1.223 · Cited by 558
A Cognitive Load Approach to Collaborative Learning: United Brains for Complex Tasks
Kirschner, F., Paas, F., & Kirschner, P. A. (2009) · Educational Psychology Review · doi:10.1007/s10648-008-9095-2 · Cited by 547
Self-citationIslam, A. K. M. N., Laato, S., Talukder, S., & Sutinen, E. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120201 · Cited by 538
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
Self-citationPaas, F., & Sweller, J. (2012) · Educational Psychology Review · doi:10.1007/s10648-011-9179-2 · Cited by 502
Self-citationDoes ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies
Deng, R., Jiang, M., Yu, X., Lu, Y., & Liu, S. (2025) · Computers & Education · doi:10.1016/j.compedu.2024.105224 · Cited by 531
Instructional Efficiency: Revisiting the Original Construct in Educational Research
van Gog, T., & Paas, F. (2008) · Educational Psychologist · doi:10.1080/00461520701756248 · Cited by 473
Self-citationChoi, H.-H., van Merriënboer, J. J. G., & Paas, F. (2014) · Educational Psychology Review · doi:10.1007/s10648-014-9262-6 · Cited by 413
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
Self-citationMoreno, R. (2006) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2006.00170.x · Cited by 395
Fostering social agency in multimedia learning: Examining the impact of an animated agent’s voice
Atkinson, R. K., Mayer, R. E., & Merrill, M. M. (2005) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2004.07.001 · Cited by 388
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
Psycho-physiological measures for assessing cognitive load
Haapalainen, E., Kim, S., Forlizzi, J. F., & Dey, A. K. (2010) · Proceedings of the 12th ACM international conference on Ubiquitous computing · doi:10.1145/1864349.1864395 · Cited by 382
Personalized Messages That Promote Science Learning in Virtual Environments.
Moreno, R., & Mayer, R. E. (2004) · Journal of Educational Psychology · doi:10.1037/0022-0663.96.1.165 · Cited by 370
Integrating cognitive load theory and concepts of human–computer interaction
Hollender, N., Hofmann, C., Deneke, M., & Schmitz, B. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.05.031 · Cited by 328
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
Memory 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
Self-citationBrünken, R., Plass, J. L., & Leutner, D. (2004) · Instructional Science · doi:10.1023/b:truc.0000021812.96911.c5 · Cited by 277
Turner-McGrievy, G., & Tate, D. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1841 · Cited by 263
Optimising worked example instruction: Different ways to increase germane cognitive load
Paas, F., & van Gog, T. (2006) · Learning and Instruction · doi:10.1016/j.learninstruc.2006.02.004 · Cited by 252
Self-citationChen, O., Castro-Alonso, J. C., Paas, F., & Sweller, J. (2018) · Educational Psychology Review · doi:10.1007/s10648-017-9426-2 · Cited by 239
Self-citationDuchowski, A. T., Krejtz, K., Krejtz, I., Biele, C., Niedzielska, A., Kiefer, P., Raubal, M., & Giannopoulos, I. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173856 · Cited by 228
Clarke, T., Ayres, P., & Sweller, J. (2005) · Educational Technology Research and Development · doi:10.1007/bf02504794 · Cited by 227
Automated written corrective feedback: how well can students make use of it?
Ranalli, J. (2018) · Computer Assisted Language Learning · doi:10.1080/09588221.2018.1428994 · Cited by 228
Human Mental Workload: A Survey and a Novel Inclusive Definition
Longo, L., Wickens, C. D., Hancock, G., & Hancock, P. A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.883321 · Cited by 222
Kirschner, F., Paas, F., & Kirschner, P. A. (2011) · Applied Cognitive Psychology · doi:10.1002/acp.1730 · Cited by 219
Self-citationMeasuring Knowledge to Optimize Cognitive Load Factors During Instruction.
Kalyuga, S., & Sweller, J. (2004) · Journal of Educational Psychology · doi:10.1037/0022-0663.96.3.558 · Cited by 219
Burgess, D. J. (2010) · Medical Decision Making · doi:10.1177/0272989x09341751 · Cited by 213
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
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
Using task-induced pupil diameter and blink rate to infer cognitive load.
Chen, S., & Epps, J. (2014) · Human–Computer Interaction · doi:10.1080/07370024.2014.892428 · Cited by 200
“SCL has been reported to be quite reliable based on numeric indicators (Paas et al., 2003) and has similar performance with weighted version of NASA-TLX (Wiebe, Roberts & Behrend, 2010).”
Ayres, P., Marcus, N., Chan, C., & Qian, N. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.013 · Cited by 191
Hwang, G.-J., Sung, H.-Y., Chang, S.-C., & Huang, X.-C. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100003 · Cited by 183
Révész, A., Michel, M., & Gilabert, R. (2016) · Studies in Second Language Acquisition · doi:10.1017/s0272263115000339 · Cited by 181
Janssen, J., Kirschner, F., Erkens, G., Kirschner, P. A., & Paas, F. (2010) · Educational Psychology Review · doi:10.1007/s10648-010-9131-x · Cited by 180
Self-citationThe worked example effect, the generation effect, and element interactivity.
Chen, O., Kalyuga, S., & Sweller, J. (2015) · Journal of Educational Psychology · doi:10.1037/edu0000018 · Cited by 167
Eye activity as a measure of human mental effort in HCI
Chen, S., Epps, J., Ruiz, N., & Chen, F. (2011) · Proceedings of the 16th international conference on Intelligent user interfaces · doi:10.1145/1943403.1943454 · Cited by 174
Neuroimaging of cognitive load in instructional multimedia
Whelan, R. R. (2007) · Educational Research Review · doi:10.1016/j.edurev.2006.11.001 · Cited by 165
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
Dankbaar, M. E. W., Alsma, J., Jansen, E. E. H., van Merrienboer, J. J. G., van Saase, J. L. C. M., & Schuit, S. C. E. (2016) · Advances in Health Sciences Education · doi:10.1007/s10459-015-9641-x · Cited by 147
The influence of leads on cognitive load and learning in a hypertext environment
Antonenko, P. D., & Niederhauser, D. S. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.10.014 · Cited by 154
Saying the wrong thing: improving learning with multimedia by including misconceptions
Muller, D. A., Bewes, J., Sharma, M. D., & Reimann, P. (2008) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2007.00248.x · Cited by 145
Contemporary cognitive load theory research: The good, the bad and the ugly
Kirschner, P. A., Ayres, P., & Chandler, P. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.06.025 · Cited by 144
Does the modality principle for multimedia learning apply to science classrooms?
Harskamp, E. G., Mayer, R. E., & Suhre, C. (2007) · Learning and Instruction · doi:10.1016/j.learninstruc.2007.09.010 · Cited by 145
Jia, J., Chen, Y., Ding, Z., & Ruan, M. (2012) · Computers & Education · doi:10.1016/j.compedu.2011.08.002 · Cited by 142
Brünken, R., Seufert, T., & Paas, F. (2010) · Cognitive Load Theory · doi:10.1017/cbo9780511844744.011 · Cited by 143
Self-citationYuksel, B. F., Oleson, K. B., Harrison, L., Peck, E. M., Afergan, D., Chang, R., & Jacob, R. J. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858388 · Cited by 137
“Brain sensing or neuro-imaging techniques have been discussed in many studies as a promising field for cognitive workload measurements during learning [34, 7, 42, 10].”
BackgroundExploring Multidimensional Approaches to the Efficiency of Instructional Conditions
Tuovinen, J. E., & Paas, F. (2004) · Instructional Science · doi:10.1023/b:truc.0000021813.24669.62 · Cited by 134
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
Self-citationLi, T., Ji, Y., & Zhan, Z. (2024) · Asia Pacific Journal of Education · doi:10.1080/02188791.2024.2305163 · Cited by 133
Effects 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
Hawlitschek, A., & Joeckel, S. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.040 · Cited by 119
The effect of illustrations in arithmetic problem-solving: Effects of increased cognitive load
Berends, I. E., & van Lieshout, E. C. D. M. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2008.06.012 · Cited by 117
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
Turner-McGrievy, G. M., Campbell, M. K., Tate, D. F., Truesdale, K. P., Bowling, J. M., & Crosby, L. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2009.06.010 · Cited by 112
The expertise reversal effect: cognitive load and motivational explanations
Rey, G. D., & Buchwald, F. (2011) · Journal of Experimental Psychology: Applied · doi:10.1037/a0022243 · Cited by 105
The Relation Between Students’ Effort and Monitoring Judgments During Learning: A Meta-analysis
Baars, M., Wijnia, L., de Bruin, A., & Paas, F. (2020) · Educational Psychology Review · doi:10.1007/s10648-020-09569-3 · Cited by 101
Self-citationMeasurement 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
Chevalier, A., & Kicka, M. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.06.002 · Cited by 96
Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool
Szulewski, A., Gegenfurtner, A., Howes, D. W., Sivilotti, M. L. A., & van Merriënboer, J. J. G. (2017) · Advances in Health Sciences Education · doi:10.1007/s10459-016-9725-2 · Cited by 94
Krell, M. (2017) · Cogent Education · doi:10.1080/2331186x.2017.1280256 · Cited by 91
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
Self-citationCognitive Load Theory in Computing Education Research: A Review
Duran, R., Zavgorodniaia, A., & Sorva, J. (2022) · ACM Transactions on Computing Education · doi:10.1145/3483843 · Cited by 92
Örün, Ö., & Akbulut, Y. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.11.027 · Cited by 87
Just-in-time information presentation: Improving learning a troubleshooting skill
Kester, L., Kirschner, P. A., & van Merriënboer, J. J. G. (2006) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2005.04.002 · Cited by 86
Paas, F., Van Gerven, P. W. M., & Wouters, P. (2007) · Applied Cognitive Psychology · doi:10.1002/acp.1349 · Cited by 84
Self-citationVan Leeuwen, A. (2015) · Journal of Learning Analytics · doi:10.18608/jla.2015.22.11 · Cited by 84
Szulewski, A., Roth, N., & Howes, D. (2015) · Academic Medicine · doi:10.1097/acm.0000000000000677 · Cited by 84
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
Self-citationObservational 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
Self-citationManaging One's Own Cognitive Load when Evidence of Split Attention is Present
Roodenrys, K., Agostinho, S., Roodenrys, S., & Chandler, P. (2012) · Applied Cognitive Psychology · doi:10.1002/acp.2889 · Cited by 70
Song, H. S., Pusic, M., Nick, M. W., Sarpel, U., Plass, J. L., & Kalet, A. L. (2014) · Computers & Education · doi:10.1016/j.compedu.2013.09.017 · Cited by 69
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
A comparison of four methods for cognitive load measurement
Chen, S., Epps, J., & Chen, F. (2011) · Proceedings of the 23rd Australian Computer-Human Interaction Conference · doi:10.1145/2071536.2071547 · Cited by 63
Toward Measurement of Situation Awareness in Autonomous Vehicles
Sirkin, D., Martelaro, N., Johns, M., & Ju, W. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025822 · Cited by 61
Understanding the keystroke log: the effect of writing task on keystroke features
Conijn, R., Roeser, J., & van Zaanen, M. (2019) · Reading and Writing · doi:10.1007/s11145-019-09953-8 · Cited by 55
Should self-regulated learning be integrated with cognitive load theory? A commentary
Sweller, J., & Paas, F. (2017) · Learning and Instruction · doi:10.1016/j.learninstruc.2017.05.005 · Cited by 54
Self-citationSun, J. C.-Y., Yu, S.-J., & Chao, C.-H. (2019) · Educational Psychology · doi:10.1080/01443410.2018.1527291 · Cited by 49
Moreno, R., & Mayer, R. E. (2010) · Cognitive Load Theory · doi:10.1017/cbo9780511844744.010 · Cited by 46
Towards an Analysis of Program Complexity From a Cognitive Perspective
Duran, R., Sorva, J., & Leite, S. (2018) · Proceedings of the 2018 ACM Conference on International Computing Education Research · doi:10.1145/3230977.3230986 · Cited by 44
Ji, Y., Zhan, Z., Li, T., Zou, X., & Lyu, S. (2025) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2025.3554584 · Cited by 42
Using pen input features as indices of cognitive load
Ruiz, N., Taib, R., Shi, Y. (., Choi, E., & Chen, F. (2007) · Proceedings of the 9th international conference on Multimodal interfaces · doi:10.1145/1322192.1322246 · Cited by 34
Hussain, M. S., Calvo, R. A., & Chen, F. (2014) · Interacting with Computers · doi:10.1093/iwc/iwt032 · Cited by 34
Value of Case-Based Learning within STEM Courses: Is It the Method or Is It the Student?
Rhodes, A., Wilson, A., & Rozell, T. (2020) · CBE—Life Sciences Education · doi:10.1187/cbe.19-10-0200 · Cited by 35
“This notion was also supported by Paas et al.(2003a), who suggested the addition of previously omitted details can foster a deeper level of understanding for more advanced learners, and is also reinforced by McParland et al. (2004), who found that older students were less likely to use surface…”
BackgroundResultInfluentialde Croock, M. B. M., & van Merriënboer, J. J. G. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2005.10.003 · Cited by 33
The mediating effect of instruction on pair composition in L2 revision and writing
Van Steendam, E., Rijlaarsdam, G. C. W., Van den Bergh, H. H., & Sercu, L. (2014) · Instructional Science · doi:10.1007/s11251-014-9318-5 · Cited by 32
Metadata
- Authors
- Paas, F., Tuovinen, J. E., Tabbers, H., & Van Gerven, P. W. M.
- Affiliations
- Open University of the Netherlands (NL)
- Charles Sturt University (AU)
- Venue
- Educational Psychologist
- Publisher
- Informa UK Limited
- Published
- 2003-01-01
- Volume
- 38
- Issue
- 1
- Pages
- 63-71
- ISSN
- 0046-1520 (ISSN-L)
- 1532-6985
- OpenAlex
- W1980877068
- Semantic Scholar
- 698e3ec5e9b7bf7217a250366cf00bfff8a49a99
- Cited by
- 2,527
- References
- 13
- Citations by year
- 2026: 149 · 2025: 142 · 2024: 155 · 2023: 135 · 2022: 174 · 2021: 164 · 2020: 156 · 2019: 143 · 2018: 138 · 2017: 135 · 2016: 114 · 2015: 133 · 2014: 120 · 2013: 110 · 2012: 96
- FWCI
- 47.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Educational Psychologist (publishedVersion)
- Research portal (Tilburg University) (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Research Publications (Maastricht University) (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 and Psychological Assessments
- Keywords
- cognitive load assessment, cognitive load theory, working memory, long-term memory, transfer of learning, instructional design, performance-based measures, cognitive architecture
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