2009
DOI: 10.2753/rpo1061-0405470604
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The Zone of Proximal Development

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Cited by 67 publications
(16 citation statements)
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“…The informational supports that puppy raisers reported receiving from peers were in line with findings from research in educational settings [56][57][58]. Peer-teaching is one application of a scaffolded learning model [59], which highlights the importance of learning from those with higher ability but not exceeding the learner's 'zone of proximal development' [60]. The zone of proximal development is when the demands of the tasks lie between the learner's actual ability and a slightly higher but still achievable level of competency.…”
Section: Informational Supportsupporting
confidence: 78%
“…The informational supports that puppy raisers reported receiving from peers were in line with findings from research in educational settings [56][57][58]. Peer-teaching is one application of a scaffolded learning model [59], which highlights the importance of learning from those with higher ability but not exceeding the learner's 'zone of proximal development' [60]. The zone of proximal development is when the demands of the tasks lie between the learner's actual ability and a slightly higher but still achievable level of competency.…”
Section: Informational Supportsupporting
confidence: 78%
“…Vygotsky asserted that in social constructivism interactions, teachers help the learner to get to his or her own understanding of the content learning in an active manner. According to Zaretskii (2009), the teacher is the mediator in the learning process and is responsible for creating a conducive classroom environment to ensure that all learners are active participants in the learning process. In addition, Klob (1984) argued that concrete experience should be included as part of the learning process and requires learners to test their knowledge by acting upon the environment, thereby giving reliable and trustworthy knowledge.…”
Section: Theoretical Framework the Constructivist Theorymentioning
confidence: 99%
“…These data are important because they demonstrate the algorithms are optimistic, erring on the side of moving the student to a less restrictive environment rather than favoring more restrictive environments. Also, these data provide computational support for classroom decisions undertaken using the data from these analyses, which was to favor moving students into less restrictive environments as soon as they were approaching "ready", rather than waiting until everyone was certain the student or multiple students were ready and would succeed (this is analogous to the zone of proximal development; cf., Zaretskii, 2009). Efficacy of the K-means classifier across multiple runs are shown in Fig 7. An independent analysis taking the raw data used by the Regression Tree algorithm but using a different clustering algorithm was also performed.…”
Section: Student Allocation Using Academic Mainstreaming Decision Treementioning
confidence: 99%