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Better Feedback for Deeper Learning

A Principal's Reflections

Goodwin & Miller (2012) provided this summary: In Marzano, Pickering, and Pollock's 2001 meta-analysis, McREL researchers found an effect size for feedback of 0.76, which translates roughly into a 28-percentile point difference in average achievement (Beesley & Apthorp, 2010; Dean, Pitler, Hubbell, & Stone, 2012). How am I going?

Learning 345
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Undocumented High School Students Are Now the ‘Post-DACA Generation’

Edsurge

analysis of augmented 2021 American Community Survey data. before June 15, 2007 — 16 years ago. In a separate analysis of the country’s 580,000 DACA recipients , Conner documents estimates that nearly half have attended college and nearly 80 percent are in the workforce. Note: Estimates rounded to thousands. Source: FWD.us

Analysis 142
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What Is Necessary For Learning?

TeachThought - Learn better.

His hole-in-the-wall project in 2007 generated tremendous interest when he showed that children could indeed learn complex tasks in the absence of formal training, spurred on by curiosity and peer interest. Not much, according to Sugata Mitra, Professor of Educational Technology at Newscastle University in England.

Learning 120
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Sharing Tools for Measuring Impactful Technology Use

Digital Promise

Studies suggest that instructional coaching is one such thoughtful intervention, providing a critical form of professional development to improve teacher practice (Kraft, Blazar, & Hogan, 2018; Knight, 2007). The effect of teacher coaching on instruction and achievement: A meta-analysis of the causal evidence. SAGE Publications.

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Digital Promise Research Map: A Starting Place for Exploring Research on Learning

Digital Promise

The new data visualization is based on over 100,000 peer-reviewed articles from 184 journals published between 2007 and 2016. Our analysis of these publications revealed 11 broad topics, such as Student Motivation and Cognition & Memory, which are broken down into more than 120 subtopics.

STEM 146
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Data-Driven or Data-Informed? Thoughts on trust and evaluation in education

Reading By Example

Data-informed or data-driven? What I have found is that the usefulness of student data to inform instruction and accountability rests on the level of trust that exists within the school walls. First there is trust in the data itself. and “Who owns the student data?”. Could a similar situation happen in education?

Data 49
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Data-Driven or Data-Informed? Thoughts on trust and evaluation in education

Reading By Example

Data-informed or data-driven? What I have found is that the usefulness of student data to inform instruction and accountability rests on the level of trust that exists within the school walls. First there is trust in the data itself. and “Who owns the student data?”. Could a similar situation happen in education?

Data 47