8 results on '"Likourezos, Vicki"'
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2. The Variability Effect: When Instructional Variability Is Advantageous
- Author
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Likourezos, Vicki, Kalyuga, Slava, and Sweller, John
- Abstract
Based on cognitive load theory, this paper reports on two experiments investigating the variability effect that occurs when learners' exposure to highly variable tasks results in superior test performance. It was hypothesised that the effect was more likely to occur using high rather than low levels of guidance and testing more knowledgeable than less knowledgeable learners. Experiment 1, which tested 103 adults studying pre-university mathematics, showed no interaction between levels of variability (high vs. low) and levels of instructional guidance (worked examples vs. unguided problem solving). The significant main effect of variability indicated a variability effect regardless of levels of instructional guidance. Experiment 2, which tested another group of 56 adults enrolled in the same mathematics program, showed an interaction between levels of variability (high vs. low) and levels of learner expertise (novices vs. experts). More experienced learners learned more from high rather than low variability tasks demonstrating the variability effect, while less experienced learners learned more from low rather than high variability tasks demonstrating a reverse variability effect. It was suggested that more experienced learners had sufficient available working memory capacity to process high variability information while less experienced learners were overwhelmed by high variability and learned more using low variability information. Subjective ratings of difficulty supported the assumptions based on cognitive load theory. The major educational implication is that learners should initially be presented with low variability or easier tasks, and as they gain more experience in the task domain, variability or task difficulty should increase.
- Published
- 2019
- Full Text
- View/download PDF
3. The Dalton Plan: The education system unaffected by the COVID-19 outbreak
- Author
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Likourezos, Vicki
- Published
- 2021
4. How principals can make a difference in STEM education
- Author
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Likourezos, Vicki, Beswick, Kim, Geiger, Vince, and Fraser, Sharon
- Published
- 2020
5. Instruction-First and Problem-Solving-First Approaches: Alternative Pathways to Learning Complex Tasks
- Author
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Likourezos, Vicki and Kalyuga, Slava
- Abstract
According to cognitive load theory, using worked examples is an effective and efficient instructional strategy for initial cognitive skill acquisition for novice learners, as it reduces cognitive load and frees up cognitive resources to build task competence. Contrary to this, productive failure (as well as invention learning, desirable difficulties and other problem-solving-first) frameworks suggest that scaffolded problem-solving activities (a generation phase) preceding explicit instruction enhance learners' performance. The reported experimental study investigated the effectiveness of different levels of instructional guidance provided to students during the learning phase preceding explicit instruction in standard solution procedures in enhancing students' engagement and transfer problem-solving skills. Specifically, the study compared partially-guided or unguided attempts at generating problem solutions as opposed to comprehensive guidance, in the form of a worked example. Levels of experienced cognitive load and learner motivation were evaluated in addition to delayed post-test performance scores. There were no differences between the three groups on the transfer post-test outcomes, even though the condition with fully-guided worked examples prior to the explicit instruction expectedly reduced cognitive load relative to the conditions without such guidance. There were also differences between the conditions on some sub-dimensions of the motivation scale. In general, the findings indicate that similar overall outcomes (delayed transfer performance) could be achieved by different sequences of instructional tasks aimed at achieving different sets of specific goals.
- Published
- 2017
- Full Text
- View/download PDF
6. The Variability Effect: An instructional approach to enhance mathematics learning
- Author
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Likourezos, Vicki
- Subjects
Split-attention effect ,Problem solving ,Instructional design ,Cognitive load ,Cognitive load theory ,Educational psychology ,Variability effect ,Redundancy effect ,Worked example effect ,Expertise reversal effect ,Mathematics education - Abstract
Based on cognitive load theory, the variability effect occurs when learners’ exposure to highly variable tasks results in better test performance. Using four randomised controlled trials in the area of secondary and tertiary mathematics instruction, the present study investigated the effects of variability, with an emphasis on levels of instructional guidance and levels of learner expertise. Experiments 1, 2 and 4 hypothesised that learners who study fully-guided worked examples will yield higher post-test performance scores, compared to learners who attempt unguided problem-solving tasks (Hypothesis 1); and learners who study high-variability worked examples will yield higher post-test performance scores, compared to learners who study low-variability worked examples, with no difference being generated under problem-solving conditions (Hypothesis 2). Hypothesis 1 was not supported in Experiments 1, 2 and 4, while Hypothesis 2 was supported only in Experiment 2. The variability effect that was produced in Experiment 2 led to further investigation in Experiment 3, where it was hypothesised that more-experienced learners (experts) would demonstrate the variability effect, and less-experienced learners (novices) would demonstrate a reverse variability effect. This hypothesis was supported, producing a classic expertise reversal effect. In addition, in all four experiments, learners’ cognitive load was evaluated by having each participant complete a subjective rating of difficulty scale upon completion of their learning tasks. The results supported the assumptions based on cognitive load theory: learners in the worked-examples groups experienced less cognitive load compared to the problem-solving groups (in Experiments 1, 2 and 4); novices experienced less cognitive load when solving low-variability problems compared to high-variability problems, and lower cognitive load was experienced by experts, compared to novices, for both high- and low-variability tasks (in Experiment 3); and cognitive load associated with the completion of high-variability tasks was higher compared to the completion of low-variability tasks (only in Experiment 4). Although it is well grounded in empirical evidence that learners should be provided with worked examples during the initial stages of learning, these results strongly suggest that learners should be initially presented with low-variability problems, and as their levels of knowledge advance, variability should increase.
- Published
- 2020
- Full Text
- View/download PDF
7. The Variability Effect: An instructional approach to enhance mathematics learning
- Author
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Kalyuga, Slava, Education, Faculty of Arts & Social Sciences, UNSW, Sweller, John, Education, Faculty of Arts & Social Sciences, UNSW, Likourezos, Vicki, Education, Faculty of Arts & Social Sciences, UNSW, Kalyuga, Slava, Education, Faculty of Arts & Social Sciences, UNSW, Sweller, John, Education, Faculty of Arts & Social Sciences, UNSW, and Likourezos, Vicki, Education, Faculty of Arts & Social Sciences, UNSW
- Abstract
Based on cognitive load theory, the variability effect occurs when learners’ exposure to highly variable tasks results in better test performance. Using four randomised controlled trials in the area of secondary and tertiary mathematics instruction, the present study investigated the effects of variability, with an emphasis on levels of instructional guidance and levels of learner expertise. Experiments 1, 2 and 4 hypothesised that learners who study fully-guided worked examples will yield higher post-test performance scores, compared to learners who attempt unguided problem-solving tasks (Hypothesis 1); and learners who study high-variability worked examples will yield higher post-test performance scores, compared to learners who study low-variability worked examples, with no difference being generated under problem-solving conditions (Hypothesis 2). Hypothesis 1 was not supported in Experiments 1, 2 and 4, while Hypothesis 2 was supported only in Experiment 2. The variability effect that was produced in Experiment 2 led to further investigation in Experiment 3, where it was hypothesised that more-experienced learners (experts) would demonstrate the variability effect, and less-experienced learners (novices) would demonstrate a reverse variability effect. This hypothesis was supported, producing a classic expertise reversal effect. In addition, in all four experiments, learners’ cognitive load was evaluated by having each participant complete a subjective rating of difficulty scale upon completion of their learning tasks. The results supported the assumptions based on cognitive load theory: learners in the worked-examples groups experienced less cognitive load compared to the problem-solving groups (in Experiments 1, 2 and 4); novices experienced less cognitive load when solving low-variability problems compared to high-variability problems, and lower cognitive load was experienced by experts, compared to novices, for both high- and low-variability tasks (in Experi
- Published
- 2020
8. Instruction-first and problem-solving-first approaches: alternative pathways to learning complex tasks
- Author
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Likourezos, Vicki, primary and Kalyuga, Slava, additional
- Published
- 2016
- Full Text
- View/download PDF
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