The DOI matches its Crossref record; 96 of the 98 references it cites were found in a registry or an index.
Cognitive Architecture and Instructional Design
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In the citing paper
“the 1998 model for the remainder of this paper, partitioned the working memory demands of instructional settings into three load types, intrinsic cognitive load (ICL), extraneous cognitive load (ECL), and germane load (GCL; Sweller et al., 1998).”
From Understanding Cognitive Load in Digital and Online Learning: a New Perspective on Extraneous Cognitive Load (2022) · cites this paper as Sweller et al., 1998
In the citing paper
“This type of load can be generated by inefficient instructional procedures such as unguided problem-solving, as well as unnecessary actions, gaze patterns, or mental operations that learners must perform while working with learning materials (Sweller et al., 1998).”
From Understanding Cognitive Load in Digital and Online Learning: a New Perspective on Extraneous Cognitive Load (2022) · cites this paper as Sweller et al., 1998
In the citing paper
“One of the main guidelines of the theory is that extraneous cognitive load should be reduced to leave sufficient cognitive resources for the actual learning to take place.”
From Understanding Cognitive Load in Digital and Online Learning: a New Perspective on Extraneous Cognitive Load (2022) · cites this paper as Sweller et al., 1998
In the citing paper
“Although intrinsic load cannot be lowered by means of instructional design, it can vary according to the learner ' s level of prior knowledge such that for the same learning task a novice will experience higher intrinsic load compared to an expert (Kalyuga, 2005; Sweller et al., 1998).”
From Understanding Cognitive Load in Digital and Online Learning: a New Perspective on Extraneous Cognitive Load (2022) · cites this paper as Sweller et al., 1998
In the citing paper
“Measurements of EDA and derived metrics have been successfully applied, including, e.g., user experience evaluation tools [76], detecting office workload [216] and driver-related tasks [202,217,224].”
From A Survey on Measuring Cognitive Workload in Human-Computer Interaction (2023) · cites this paper as [216]
In the citing paper
“However, intrinsic load is not merely a function of qualities of the subject matter but also of the prior knowledge a learner brings to the task (Bannert 2002; Sweller et al. 1998).”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Sweller et al. 1998
In the citing paper
“The second premise concerning intrinsic cognitive load is that it cannot be changed by instructional treatments.”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Sweller et al. 1998
In the citing paper
“Following this approach, one might say that intrinsic and extraneous cognitive load concern cognitive activities that must unavoidably be performed, so they fall under cognitive load; germane cognitive load is the space that is left over that the learner can decide how to use, so this can be labelled as cognitive effort.”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Sweller et al. 1998
In the citing paper
“An important premise of cognitive load theory is that the different types of cognitive load can be added.”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Sweller et al. 1998
In the citing paper
“Cognitive load theory is used in presenting guidelines for instructional design.”
From Cognitive load theory, educational research, and instructional design: some food for thought (2010) · cites this paper as Sweller et al. (1998)
In the citing paper
“L'automatisation apparaît après la pratique intensive (Sweller, van Merrienboer et Paas, 1998).”
From Enseignement explicite et développement decompétences : antinomie ou nécessité? (2020) · cites this paper as Sweller, van Merrienboer et Paas, 1998
In the citing paper
“Experienced learners rely on pre-existing schemas, which allow them to integrate new information more efficiently, reducing the number of interacting elements (i.e., “element interactivity” discussed in details below) that must be processed simultaneously (Kalyuga, 2007a, 2007b; Sweller et al., 1998)”
From Rethinking pre-training: cognitive load implications for learners with varying prior knowledge (2025) · cites this paper as Sweller et al., 1998
In the citing paper
“One might consider that such released resources which come along with externalisations (Kirsh, 2010) could serve a deeper elaboration of the processed information (Sweller et al., 1998). In return, such a deeper elaboration could cause stronger memory representations (Craik & Lockhart, 1972).”
From Consequences of cognitive offloading: Boosting performance but diminishing memory (2021) · cites this paper as Sweller et al., 1998
In the citing paper
“The limitation in working memory is considered a critical factor when designing instruction (34,41,42).”
From Applying learning theories and instructional design models for effective instruction (2016) · cites this paper as [42]
In the citing paper
“Otherwise, instruction becomes inadequate because it imposes high extraneous cognitive load irrelevant for learning (42).”
From Applying learning theories and instructional design models for effective instruction (2016) · cites this paper as [42]
In the citing paper
“It is clearly impossible to use highly complex learning tasks from the start of a course or training program because this would yield excessive cognitive load for the learners, with negative effects on learning, performance, and motivation (Sweller, van Merriënboer, & Paas, 1998).”
From Taking the Load Off a Learner's Mind: Instructional Design for Complex Learning (2003) · cites this paper as Sweller, van Merriënboer, & Paas, 1998
In the citing paper
“Indeed, many experiments supported the counterintuitive prediction that studying worked-out examples facilitates schema construction and transfer performance more than actually solving the equivalent problems does (van Gerven, Paas, van Merriënboer, & Schmidt, 2002; also see Sweller et al., 1998, for an overview).”
From Taking the Load Off a Learner's Mind: Instructional Design for Complex Learning (2003) · cites this paper as Sweller et al., 1998
In the citing paper
“Goal-free tasks present the learner with a highly aspecific goal, which eliminates the need for means-ends search and so decreases extraneous cognitive load (Paas, Camp, & Rikers, 2001; also see Sweller et al., 1998, for an overview).”
From Taking the Load Off a Learner's Mind: Instructional Design for Complex Learning (2003) · cites this paper as Sweller et al., 1998
In the citing paper
“Finally, germane load can be defined as cognitive load that is directly associated with schema construction, a process that is essential for long-term retention (Sweller et al., 1998).”
From Does difficulty moderate learning? A comparative analysis of the desirable difficulties framework and cognitive load theory (2025) · cites this paper as Sweller et al., 1998
In the citing paper
“Germane load can be induced by encouraging a learner to engage in conscious cognitive processing which is closely related to schema construction (Sweller, 2010; Sweller et al., 1998).”
From Does difficulty moderate learning? A comparative analysis of the desirable difficulties framework and cognitive load theory (2025) · cites this paper as Sweller et al., 1998
In the citing paper
“More specifically, CLT aims to explain the link between the processing load (i.e., cognitive load) induced by learning tasks and students’ ability to manage novel information to subsequently build knowledge in the form of long-term memory (Sweller, 1988; Sweller et al., 1998).”
From Does difficulty moderate learning? A comparative analysis of the desirable difficulties framework and cognitive load theory (2025) · cites this paper as Sweller et al., 1998
In the citing paper
“Beyond these foundational assumptions, while cognitive load can generally be defined as the number of working memory resources employed to perform a task, CLT distinguishes between three different types (Sweller et al., 1998, 2019) each of which are reviewed below.”
From Does difficulty moderate learning? A comparative analysis of the desirable difficulties framework and cognitive load theory (2025) · cites this paper as Sweller et al., 1998
In the citing paper
“Empirical evidence for CLT originates largely from studies that provide support for various effects set forward by the theory (Sweller et al., 1998), some of which will be discussed here.”
From Does difficulty moderate learning? A comparative analysis of the desirable difficulties framework and cognitive load theory (2025) · cites this paper as Sweller et al., 1998
In the citing paper
“While MEA could solve the problem, it is incompatible with learning because it is working memory intensive and does not lead to schema construction (Sweller, 1988; Sweller et al., 1998).”
From Does difficulty moderate learning? A comparative analysis of the desirable difficulties framework and cognitive load theory (2025) · cites this paper as Sweller et al., 1998
In the citing paper
“It uses some aspects of human cognitive architecture and of the structure of information to provide instructional designs that facilitate understanding, learning and problem solving.”
From Assimilating complex information (2002) · cites this paper as Sweller, van Merrienboer & Paas, 1998
In the citing paper
“Germane cognitive load is related to the cognitive processing which is consciously directed toward the construction of schemas”
From Assimilating complex information (2002) · cites this paper as Sweller, van Merrienboer and Paas, 1998
In the citing paper
“Learning benefits if the learner's attention is directed toward processes relevant to the construction of schemas, even if the consequence of achieving this effect is an increase in the total cognitive load imposed on working memory during learning”
From Assimilating complex information (2002) · cites this paper as Sweller et al., 1998
In the citing paper
“the tasks ensure that the learner's attention has been appropriately engaged and have been shown to benefit subsequent performance on similar and transfer problems”
From Assimilating complex information (2002) · cites this paper as Sweller et al., 1998
In the citing paper
“there is no way”
From Assimilating complex information (2002) · cites this paper as Sweller et al., 1998
In the citing paper
“This combination of cognitive architecture and information structures constitutes the core of cognitive load theory and can be used to design instruction intended to reduce extraneous cognitive load and facilitate learning through more rapid and effective schema construction (see Sweller, 1999; Sweller, van Merrienboer & Paas, 1998).”
From Assimilating complex information (2002) · cites this paper as Sweller, van Merrienboer & Paas, 1998
In the citing paper
“It has been previously stated that intrinsic cognitive load of information is unalterable (Sweller and Chandler, 1994; Sweller, van Merrienboer and Paas, 1998) because this type of cognitive load reflects the internal structure of the material itself, that is, the number of information elements and the degree of interaction between them.”
From Assimilating complex information (2002) · cites this paper as Sweller, van Merrienboer and Paas, 1998
In the citing paper
“A popular workaround to the challenge of prompting is 'prompt libraries' with detailed, task-specific prompts (see[176] for an overview).”
From The Metacognitive Demands and Opportunities of Generative AI (2024) · cites this paper as [176]
In the citing paper
“Cognitive load can be categorized into three types: intrinsic, extraneous, and germane [18].”
From Teaching a single manual therapy technique at a time reduces cognitive load in physiotherapy students: a randomized controlled educational study (2025) · cites this paper as [18]
In the citing paper
“germane load, which “reflects the effort that contributes to the construction of schemas” (Sweller et al., 1998, p. 259).”
From Development and Validation of Two Instruments Measuring Intrinsic, Extraneous, and Germane Cognitive Load (2017) · cites this paper as Sweller et al., 1998
In the citing paper
“For a long time, CLT differentiated three independent sources of memory load, namely ICL, ECL, and GCL (e.g., Sweller et al., 1998).”
From Development and Validation of Two Instruments Measuring Intrinsic, Extraneous, and Germane Cognitive Load (2017) · cites this paper as Sweller et al., 1998
In the citing paper
“The second assumption of CLT is that long-term memory is virtually unlimited (Sweller et al., 1998)”
From Development and Validation of Two Instruments Measuring Intrinsic, Extraneous, and Germane Cognitive Load (2017) · cites this paper as Sweller et al., 1998
In the citing paper
“Cognitive load theory states that intrinsic cognitive load should be optimized in instructional design by selecting materials that match the learner's prior knowledge or proficiency, while extraneous cognitive load should be minimized, and learners should be challenged to engage in processes that evoke germane cognitive load (in the old conceptualization of cognitive load theory) or the use of (in”
From Effects of pairs of problems and examples on task performance and different types of cognitive load (2014) · cites this paper as Sweller et al., 1998
In the citing paper
“If intrinsic, extraneous, and germane cognitive load were indeed independent and additive types of cognitive load as Sweller et al. (1998) suggest, then one would expect correlations between these types of cognitive load to be (around) zero.”
From Effects of pairs of problems and examples on task performance and different types of cognitive load (2014) · cites this paper as Sweller et al., 1998
In the citing paper
“and that intrinsic cognitive load is affected by individual differences in prior knowledge (Sweller, 2010;Sweller et al., 2011Sweller et al., , 1998)).”
From Effects of pairs of problems and examples on task performance and different types of cognitive load (2014) · cites this paper as Sweller et al., 1998
In the citing paper
“When instructional material is poorly constructed, extraneous load is generated because the learner is diverted away from schema acquisition and uses up precious WM resources by trying to deal with a suboptimal learning environment (Sweller et al. 1998).”
From Cognitive Load Theory: New Conceptualizations, Specifications, and Integrated Research Perspectives (2010) · cites this paper as Sweller et al. 1998
In the citing paper
“the theory has generated over the last two decades a unique variety of useful and effective instructional designs and procedures (for overviews, see Sweller et al. 1998;Van Merriënboer and Sweller 2005).”
From Cognitive Load Theory: New Conceptualizations, Specifications, and Integrated Research Perspectives (2010) · cites this paper as Sweller et al. 1998
In the citing paper
“CLT identifies three categories of cognitive load: intrinsic, extraneous, and germane (Paas et al. 2003b;Sweller et al. 1998).”
From Cognitive Load Theory: New Conceptualizations, Specifications, and Integrated Research Perspectives (2010) · cites this paper as Sweller et al. 1998
In the citing paper
“In more detail, the PCA confirmed the assumed three-components model consisting of the three types proposed in CLT (Sweller et al., 1998).”
From Development and Validation of a Theory-Based Questionnaire to Measure Different Types of Cognitive Load (2023) · cites this paper as Sweller et al., 1998
In the citing paper
“Intrinsic load is also influenced by students' level of expertise: When students gain knowledge in a domain, they construct cognitive schemas by combining information elements and those schemas can be handled in working memory as single information elements.Therefore, the same animations impose less intrinsic load for students with higher levels of prior knowledge than for students with lower”
From An expertise reversal effect of segmentation in learning from animated worked-out examples (2011) · cites this paper as Sweller et al., 1998
In the citing paper
“Cognitive Load Theory (Sweller, Van Merriënboer, & Paas, 1998;Van Merriënboer & Sweller, 2005) distinguishes between three additive types of cognitive load imposed on working memory by maintaining and processing information: Extraneous (i.e., ineffective) and germane (i.e., effective) cognitive load imposed by the design of instructional materials, and intrinsic cognitive load, imposed by the”
From An expertise reversal effect of segmentation in learning from animated worked-out examples (2011) · cites this paper as Sweller, Van Merriënboer, & Paas, 1998
In the citing paper
“According to CLT, mental processing is limited by the capacity of working memory (De Jong 2010;Sweller et al. 1998).”
From Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool (2017) · cites this paper as Sweller et al. 1998
In the citing paper
“With the development of domain-specific expertise, those with more experience are thought to be able to chunk related concepts together in elaborated schemas, thus maximizing the efficiency of their working memory (Gegenfurtner et al. 2011;Sweller et al. 1998).”
From Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool (2017) · cites this paper as Sweller et al. 1998
In the citing paper
“CLT emphasizes the limited cognitive capacity of the learner as an important determinant for the effective use of instructional methods (Paas et al. 2003(Paas et al. , 2004;;Sweller et al. 1998;Van Merriënboer and Sweller 2005).”
From Interactivity in Video-based Models (2007) · cites this paper as Sweller et al. 1998
Citations
Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1994) · Psychological Review · doi:10.1037/0033-295x.101.2.343 · Cited by 17,559
Cognitive Load During Problem Solving: Effects on Learning
Sweller, J. (1988) · Cognitive Science · doi:10.1016/0364-0213(88)90023-7 · Cited by 11,048
Self-citationShiffrin, R. M., & Schneider, W. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.127 · Cited by 7,335
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
Baddeley, A. (1992) · Science · doi:10.1126/science.1736359 · Cited by 5,258
Chase, W. G., & Simon, H. A. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90004-2 · Cited by 4,479 · cited 1×
“Furthermore, as Chase and Simon (1973) demonstrated, this difference was not due to a difference in working memory.”
Cognitive load theory, learning difficulty, and instructional design
Sweller, J. (1994) · Learning and Instruction · doi:10.1016/0959-4752(94)90003-5 · Cited by 3,801 · cited 2×
“Extraneous cognitive load is determined by the instructional design (see Sweller, 1994).”
BackgroundSelf-citationCognitive Load Theory and the Format of Instruction
Chandler, P., & Sweller, J. (1991) · Cognition and Instruction · doi:10.1207/s1532690xci0804_2 · Cited by 2,894
Self-citationControlled and automatic human information processing: I
Schneider, W. E., & Shiffrin, R. M. (1977) · Cited by 2,228
Flagged first, then by citations
2 of the 98 references couldn’t be matched to a known paper.
Research works printed but not linked: 5
- Chi, M., Bassok, M., Lewis, M., Reimann, P., and Glaser, R. (1989). Self-explanations: How students study and use examples in problem solving. Cognit. Sci. 13: 145–182.
- De Groot, A. D. (1966). Perception and memory versus thought: Some old ideas and recent findings. In Kleinmuntz, B. (ed.), Problem Solving, Wiley, New York.
- Jelsma, O., and Bijlstra, J. P. (1988). Training for Transfer in Learning to Detect, Diagnose, and Compensate System Failures. Proceedings of the Seventh European Annual Conference on Human Decision Making and Manual Control, Paris, France, pp. 256–262.
- Miller, W. (1937). The picture crutch in reading. Elem. Eng. Rev. 14: 263–264.
- Trafton, J. G., and Reiser, B. J. (1993). The Contribution of Studying Examples and Solving Problems to Skill Acquisition. Proceedings of the 15th Annual Conference of the Cognitive Science Society, Erlbaum, Hillsdale, NJ, pp. 1017–1022.
Cited by
Sorted by citations
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Randler, C. (2002) · Journal of Biological Education · doi:10.1080/00219266.2002.9655830 · Cited by 71
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Roodenrys, K., Agostinho, S., Roodenrys, S., & Chandler, P. (2012) · Applied Cognitive Psychology · doi:10.1002/acp.2889 · Cited by 70
Feldon, D. F., Franco, J., Chao, J., Peugh, J., & Maahs-Fladung, C. (2018) · Learning and Instruction · doi:10.1016/j.learninstruc.2018.04.007 · Cited by 70
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Yang, C.-C., Hwang, G., Hung, C., & Tseng, S. (2013) · Cited by 70
Chang, C., Tseng, K., & Tseng, J.-S. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.06.006 · Cited by 70
Evaluating and Managing Cognitive Load in Games
Kalyuga, S., & Plass, J. L. (2009) · IGI Global eBooks · doi:10.4018/978-1-59904-808-6.ch041 · Cited by 70
Caywood, M. S., Roberts, D. M., Colombe, J. B., Greenwald, H. S., & Weiland, M. Z. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00647 · Cited by 70
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Walkington, C., & Bernacki, M. L. (2017) · The Journal of Experimental Education · doi:10.1080/00220973.2017.1380590 · Cited by 70
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Ginns, P., & Leppink, J. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09474-4 · 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
Darmawansah, D., Lin, C.-J., & Hwang, G. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104516 · Cited by 69
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Sadek, M., Constantinides, M., Quercia, D., & Mougenot, C. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642810 · Cited by 69
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Kosslyn, S. M., Kievit, R., Russell, A. G., & Shephard, J. M. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00230 · Cited by 69
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Yoghourdjian, V., Yang, Y., Dwyer, T., Lawrence, L. M., Wybrow, M., & Marriott, K. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030459 · Cited by 68
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Aleven, V. A. W. M. M. (2010) · Studies in computational intelligence · doi:10.1007/978-3-642-14363-2_3 · Cited by 68
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Hannafin, M. J., Hannafin, K. M., & Gabbitas, B. W. (2009) · Educational Technology Research and Development · doi:10.1007/s11423-009-9117-x · Cited by 68
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Brooks, D. W., & Shell, D. F. (2006) · Journal of Science Education and Technology · doi:10.1007/s10956-006-0353-0 · Cited by 68
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Krishnamurthi, S., & Fisler, K. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108654555.014 · Cited by 69
On the development of a method for cognitive load assessment in manufacturing
Thorvald, P., Lindblom, J., & Andreasson, R. (2019) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2019.04.012 · Cited by 68
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Amadieu, F., & Salmerón, L. (2013) · Springer eBooks · doi:10.1007/978-1-4614-3178-7_3 · Cited by 68
Winberg, M., & Hedman, L. R. (2007) · Instructional Science · doi:10.1007/s11251-007-9030-9 · Cited by 68
How do i do? Investigating effects of expertise and performance‐process records on self‐assessment
Kostons, D. D. N. M., van Gog, T., & PAAS, F. G. W. C. (2008) · Applied Cognitive Psychology · doi:10.1002/acp.1528 · Cited by 68
Self-citationSeeing Change in Time: Video Games to Teach about Temporal Change in Scientific Phenomena
Corredor, J., Gaydos, M., & Squire, K. (2014) · Journal of Science Education and Technology · doi:10.1007/s10956-013-9466-4 · Cited by 67
Effects of processing speed training on cognitive functions and neural systems
Takeuchi, H., & Kawashima, R. (2012) · Reviews in the Neurosciences · doi:10.1515/revneuro-2012-0035 · Cited by 67
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Sevcenko, N., Ninaus, M., Wortha, F., Moeller, K., & Gerjets, P. H. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.572437 · Cited by 67
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 67
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Pouw, W. T. J. L., Rop, G., de Koning, B. B., & PAAS, F. G. W. C. (2019) · Journal of Experimental Psychology General · doi:10.1037/xge0000578 · Cited by 63
Self-citationSmith, M. J., Pinto, R. M., DaWalt, L. S., Smith, J. D., Sherwood, K. L., Miles, R., Taylor, J. L., Hume, K., Dawkins, T., Baker-Ericzén, M. J., et al. (2019) · Research in Autism · doi:10.1016/j.rasd.2019.101498 · Cited by 63
Horn, M., & Bers, M. U. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108654555.023 · Cited by 63
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McLaren, B. M., & Isotani, S. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21869-9_30 · Cited by 63
Effects of multitasking‐training on gray matter structure and resting state neural mechanisms
Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Sassa, Y., & Kawashima, R. (2013) · Human Brain Mapping · doi:10.1002/hbm.22427 · Cited by 63
Effects of self-regulatory instructional aids on self-directed study
Bednall, T. C., & Kehoe, E. J. (2009) · Instructional Science · doi:10.1007/s11251-009-9125-6 · Cited by 63
Are instructional explanations more effective in the context of an impasse?
Sánchez, E., García-Rodicio, H., & Acuña, S. R. (2008) · Instructional Science · doi:10.1007/s11251-008-9074-5 · Cited by 63
Metadata
- Authors
- Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C.
- Affiliations
- UNSW Sydney (AU)
- Maastricht University (NL)
- Corresponding author
- Sweller, John
- Venue
- Educational Psychology Review
- Published
- 1998-09
- Volume
- 10
- Issue
- 3
- Pages
- 251-296
- ISSN
- 1040-726X (ISSN-L)
- 1573-336X
- OpenAlex
- W2096036274
- Semantic Scholar
- efa6ed36bfeaccb63b5e408c976bea0961873f90
- Cited by
- 6,023
- References
- 98
- Citations by year
- 2026: 512 · 2025: 410 · 2024: 370 · 2023: 304 · 2022: 320 · 2021: 304 · 2020: 325 · 2019: 323 · 2018: 255 · 2017: 257 · 2016: 246 · 2015: 271 · 2014: 264 · 2013: 286 · 2012: 242
- FWCI
- 25.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Educational Psychology Review (publishedVersion)
- University of Twente Research Information (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Keywords
- cognitive load theory, cognitive architecture, working memory, long-term memory, schemas, instructional design, schema construction, visual processing
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