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Winne, Philip H. – Metacognition and Learning, 2022
Metacognition is the engine of self-regulated learning. At the object level, learners seek information and choose learning tactics and strategies they forecast will develop knowledge. At the meta level, learners gather and analyze data about learning events to draw conclusions, such as: Is this tactic a good fit to conditions? Was it effective?…
Descriptors: Metacognition, Learning Strategies, Computer Software, Data Analysis
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Winne, Philip H. – High Ability Studies, 2019
This special issue presents a sample of modern work on self-regulated learning (SRL) among high ability and gifted students. It includes diverse views about the construct per se, and gifted students' and their teachers' accounts about SRL and factors they believe moderate it. Zeidner and Stroeger (this issue) set the stage with a sketch of an…
Descriptors: Gifted, Metacognition, Educational Philosophy, Teacher Attitudes
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Winne, Philip H.; Teng, Kenny; Chang, Daniel; Lin, Michael Pin-Chuan; Marzouk, Zahia; Nesbit, John C.; Patzak, Alexandra; Rakovic, Mladen; Samadi, Donya; Vytasek, Jovita – Journal of Learning Analytics, 2019
Data used in learning analytics rarely provide strong and clear signals about how learners process content. As a result, learning as a process is not clearly described for learners or for learning scientists. GaĊĦevic, Dawson, and Siemens (2015) urged data be sought that more straightforwardly describe processes in terms of events within learning…
Descriptors: Learning Analytics, Learning Processes, Independent Study, Computer Software
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Winne, Philip H. – British Journal of Educational Psychology, 2018
Background: Deep versus surface knowledge is widely discussed by educational practitioners. A corresponding construct, levels of processing, has received extensive theoretical and empirical attention in learning science and psychology. In both arenas, lower levels of information and shallower levels of processing are predicted and generally…
Descriptors: Epistemology, Information Processing, Cognitive Processes, Independent Study
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Winne, Philip H.; Nesbit, John Cale; Ram, Ilana; Marzouk, Zahia; Vytasek, Jovita; Samadi, Donya; Stewart, Jason – AERA Online Paper Repository, 2017
When learners highlight or tag content, they metacognitively monitor information to select and mark it. From a levels-of-processing framework, standards used in metacognitive monitoring could affect learning. We examined effects on recall and transfer of different metacognitive standards -- free highlighting expressing a generic…
Descriptors: Metacognition, Study Skills, Documentation, Transfer of Training
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Marzouk, Zahia; Rakovic, Mladen; Liaqat, Amna; Vytasek, Jovita; Samadi, Donya; Stewart-Alonso, Jason; Ram, Ilana; Woloshen, Sonya; Winne, Philip H.; Nesbit, John C. – Australasian Journal of Educational Technology, 2016
Learning analytics are often formatted as visualisations developed from traced data collected as students study in online learning environments. Optimal analytics inform and motivate students' decisions about adaptations that improve their learning. We observe that designs for learning often neglect theories and empirical findings in learning…
Descriptors: Science Education, Science Instruction, Data Collection, Cooperation
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Winne, Philip H. – Teachers College Record, 2017
The trajectory of scholarship about self-regulated learning (SRL) originates in mid-19th-century writings about learners' sense of responsibility in self education. Although Descartes's 17th-century writings implied mental activities consistent with metacognition, a central feature of SRL, these were inarticulate until Flavell and colleagues'…
Descriptors: Scholarship, Active Learning, Metacognition, Educational History