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Castro-Alonso Juan C. Wong Rachel M. Adesope Olusola O. Paas Fred 《Educational Psychology Review》2021,33(3):989-1015
Multimedia pedagogical agents are on-screen characters that allow users to navigate or learn in multimedia environments. Several agents’ characteristics may moderate their instructional effectiveness, including appearance, gender, nonverbal communication, motion, and voice. Here, we conducted a meta-analysis to test hypotheses from diverse theories predicting the effects of these agents’ characteristics. We tested predictions of cognitive load theory, cognitive theory of multimedia learning, computers are social actors, social agency theory, uncanny valley, and the action observation network. Our meta-analysis of 32 effect sizes (N?=?2104) revealed a small overall effect (g+?=?0.20), showing that learning with multimedia pedagogical agents was more effective than learning without these agents. As predicted by the redundancy effect of cognitive load theory and the coherence principle of cognitive theory of multimedia learning, 2D agents (g+?=?0.38) tended to be more effective than 3D agents (g+?=?0.11). As predicted by the computers are social actors hypothesis, most of the agents’ characteristics, including nonverbal communication, motion, and voice, appeared not to moderate their effectiveness. We conclude that multimedia pedagogical agents help learning through multimedia, and that students may be able to learn similarly from different types of agents.
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Salden Ron J.C.M. Paas Fred Broers Nick J. van Merriënboer Jeroen J.G. 《Instructional Science》2004,32(1-2):153-172
The differential effects of four task selectionmethods on training efficiency and transfer incomputer-based training for Air Traffic Controlwere investigated. A non-dynamic condition, inwhich the learning tasks were presented to theparticipants in a fixed, predeterminedsequence, was compared to three dynamicconditions, in which learning tasks wereselected on the basis of performance, mentaleffort, and a combination of both (i.e., mentalefficiency). Using the 3-factor mentalefficiency formula of Tuovinen and Paas (2004, this issue), the hypothesis that dynamic taskselection leads to more efficient training thannon-dynamic task selection was confirmed.However, the hypothesis that dynamic taskselection based on mental efficiency leads tomore efficient training than dynamic taskselection based on performance or mental effortalone was not supported. The results arediscussed in light of the theoretical frameworkand suggestions are given for futureresearch. 相似文献
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Tamara van Gog K. Anders Ericsson Remy M. J. P. Rikers Fred Paas 《Educational technology research and development : ETR & D》2005,53(3):73-81
Cognitive load theory (CLT) has been successful in identifying instructional formats that are more effective and efficient
than conventional problem solving in the initial, novice phase of skill acquisition. However, recent findings regarding the
“expertise reversal effect” have begun to stimulate cognitive load theorists to broaden their horizon to the question of how
instructional design should be altered as a learner's knowledge increases. To answer this question, it is important to understand
how expertise is acquired and what fosters its development. Expert performance research, and, in particular, the theoretical
framework of deliberate practice have given us a better understanding of the principles and activities that are essential
in order to excel in a domain. This article explores how these activities and principles can be used to design instructional
formats based on CLT for higher levels of skills mastery. The value of these formats for e-learning environments in which
learning tasks can be adaptively selected on the basis of online assessments of the learner's level of expertise is discussed.
In their preparation of this article, the first and last authors were supported by an Internationalization grant from the
Netherlands Organization for Scientific Research (NWO, The Hague, project number 411-01-010). 相似文献
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In this article, themost relevant literature on cognitive aging and instructional design is merged to formulate recommendations for designing computer-based training material aimed at elderly learners. The core message is that researchers and instructional designers do not need to develop special computerized instruction for older adults. Rather, existing principles of general instructional and multimedia design can be evaluated and used to accommodate the needs of elderly learners. Particular attention is given to John Sweller’s Cognitive Load Theory (CLT) and Richard Mayer’s Cognitive Theory of Multimedia Learning (CTML). It is argued that these instructional theories bear important benefits for older learners because they support an efficient use of available cognitive resources. New research directions are suggested to test the implications of these theories for learning in old age.
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| Pascal W. M. Van GervenEmail: |
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Marcel?B.?M.?de?CroockEmail author Fred?Paas Henrik?Schlandbusch Jeroen?J.?G.?van?Merri?nboer 《Educational technology research and development : ETR & D》2002,50(4):47-58
This article describes a set of computerized tools that support the design and evaluation of competency-based training programs. The training of complex skills such as air traffic control and process control requires a competency-based approach that focuses on the integration and coordination of constituent skills and transfer of learning. At the heart of the training are authentic whole-task practice situations. The instructional design tools are based on van Merriënboer's 4C/ID* methodology (1997). The article describes a training design tool (Core) that supports the analysis and design for competency-based training programs and an evaluation tool (Eval) that supports the subsequent revision of this training design. 相似文献
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For self-regulated learning to be effective, students need to be able to accurately assess their own performance on a learning task and use this assessment for the selection of a new learning task. Evidence suggests, however, that students have difficulties with accurate self-assessment and task selection, which may explain the poor learning outcomes often found with self-regulated learning. In experiment 1, the hypothesis was investigated and confirmed that observing a human model engaging in self-assessment, task selection, or both could be effective for secondary education students’ (N = 80) acquisition of self-assessment and task-selection skills. Experiment 2 investigated and confirmed the hypothesis that secondary education students’ (N = 90) acquisition of self-assessment and task-selection skills, either through examples or through practice, would enhance the effectiveness of self-regulated learning. It can be concluded that self-assessment and task-selection skills indeed play an important role in self-regulated learning and that training these skills can significantly increase the amount of knowledge students can gain from self-regulated learning in which they choose their own learning tasks. 相似文献
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Pavlo Antonenko Fred Paas Roland Grabner Tamara van Gog 《Educational Psychology Review》2010,22(4):425-438
Application of physiological methods, in particular electroencephalography (EEG), offers new and promising approaches to educational
psychology research. EEG is identified as a physiological index that can serve as an online, continuous measure of cognitive
load detecting subtle fluctuations in instantaneous load, which can help explain effects of instructional interventions when
measures of overall cognitive load fail to reflect such differences in cognitive processing. This paper presents a review
of seminal literature on the use of continuous EEG to measure cognitive load and describes two case studies on learning from
hypertext and multimedia that employed EEG methodology to collect and analyze cognitive load data. 相似文献