INSTRUCTION BASED ON FEEDBACK
By John A. C. Hattie, M. Gan. 2010
365 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/4daa691ef6ebf6542a99c321baaf6dd584a68470
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In Artificial Intelligence
In Information Systems
Citations in the corpus
- Anonymity as an instructional scaffold in peer assessment: its effects on peer feedback quality and evolution in students’ perceptions about peer assessment skills (2018, background): “Elaboration refers to “relevant information to help the learner in error correction” (Hattie and Gan 2011, p. 253).”
- The relationship between principal leadership and teacher collaboration: Investigating the mediating effect of teachers’ collective efficacy (2020, background): “We assume that staff appraisals create opportunities for individual discussion, in which principals (as well as other managerial or school staff, e.g., mentor teachers) can provide specific feedback on teachers’ previously specified goals (Hattie and Gan, 2011; Locke and Latham, 1990).”
- Rubrics to assess critical thinking and information processing in undergraduate STEM courses (2020, background): “…need consistent feedback from an instructor and/or self-assessment throughout a course to provide a benchmark for their current performance and identify what they can do to improve their process skills (Black & Wiliam, 1998; Butler & Winne, 1995; Hattie & Gan, 2011; Nicol & Macfarlane-Dick, 2006).”
- Effects of Feedback in a Computer-Based Learning Environment on Students’ Learning Outcomes (2013, background): “Its main purpose is to reinforce the correct recall of facts, which is consistent with a behaviorist view of learning (Hattie & Gan, 2011; Narciss, 2008).”