Article Summary: Dion & Restrepo (2017) Neural Correlates of Feedback Processing to Learning

Motivation 

This article explores how the brain processes feedback during learning, offering insights that complement more common educational theories about learning from feedback from cognitive, behaviorist, sociocultural, and constructivist approaches.

Feedback-Based Learning in Education and Neuroscience

Whether for academic achievement, professional development, or lifelong learning, learning from feedback is essential. As any educator (or parent or mentor or friend or …) knows, providing feedback does not ensure that someone will learn from it. For this reason, much research has studied the efficacy of different factors and types of feedback and whether that efficacy differs based on learners’ characteristics (e.g., this book chapter summary discusses factors related to education technology). These variables are studied from many different perspectives, including cognitivism, behaviorism, socioculturalism, and constructivism. However, the brain mechanisms and neural correlates of feedback processing have rarely been part of our understanding of how people learn from feedback.

This systematic literature review collects papers that bridge the educational and neuroscience research on learning from feedback. Only papers with both functional neuroimaging data and experimental behavioral data were included, connecting traditional educational research methods with those that show the brain mechanisms at play. The results show how brain development affects the processing of feedback and how situational, social, and emotional factors affect learning from feedback.

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Article Summary: Schwartz & Bransford (1998) A Time for Telling (Constructivism)

Motivation

Activating prior knowledge is a powerful instructional tool, but students do not always have relevant prior knowledge to activate. This paper tests a method for developing prior knowledge that prepares students to learn from lectures and explanations. On a more theoretical level, it examines when during instruction it is better to support students’ exploration and construction of knowledge and when it is better to provide direct instruction.

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Article Summary: Maton (2014) Legitimation Code Theory and Semantic Waves

Motivation

To explain how semantic waves (based on the semantics dimension of Legitimation Code Theory) can help students to build upon prior knowledge, particularly everyday, practical knowledge, to develop new knowledge, particularly technical, disciplinary knowledge.

**I used ChatGPT to help write this summary. The text in italics is from ChatGPT with light editing. A description of my experience can be found in this post.

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Article Summary: Feld et al. (2022) Writing Matters

Motivation 

To examine how the quality of writing in academic papers affects the perceived quality of work and publication rates.

Writing Quality in Academia

The low quality of academic writing is so ubiquitous that it has become a meme. While many academics feel frustrated while reading poorly written papers, this experience does not necessarily motivate us to produce well-written papers. After all, we have many skillsets to develop and demands on our time, and learning to write well involves copious practice and individualized feedback. Research has found that this investment does not necessarily result in higher scientific impact. Further, the ubiquity of low-quality papers shows that such papers are publishable, so it’s not obvious that improving our writing will provide us with tangible benefits. To determine the tangible benefits of investing in writing quality, this paper uses a highly controlled experiment to examine the effect that writing quality has on the perceived quality of work and recommendations for accepting a paper.

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Article Summary: Posner (2011) Proficiency-Based Assessment

Motivation: Most STEM courses use summative assessment almost exclusively, and this practice fails to foster student learning and engagement. To improve learning outcomes, we need to develop, test, and implement formative assessment practices.

Intervention: This study uses a proficiency-based assessment tool for statistics education in which students can resubmit assignments to demonstrate successful achievement of learning outcomes. The tool gives scores of either Mastery, Proficient, Developing, or Not Submitted. Continue reading