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Abstract: 'We compared the amounts of learning achieved using two different instructional approaches under controlled conditions. We measured the learning of a specific set of topics and objectives when taught by 3 hours of traditional lecture given by an experienced highly rated instructor and 3 hours of instruction given by a trained but inexperienced instructor using instruction based on research in cognitive psychology and physics education. The comparison was made between two large sections (N = 267 and N = 271) of an introductory undergraduate physics course. We found increased student attendance, higher engagement, and more than twice the learning in the section taught using research-based instruction." 

Peer Instruction Network is a community for current and potential users of Peer Instruction, an interactive teaching method developed by Eric Mazur at Harvard University. 

In the on-going quest for improved learning in large-class settings, an active-learning approach for an introductory physics course yielded mixed results, according to a new report from the Higher Education Quality Council of Ontario. Evaluating the Effectiveness of Modified Peer Instruction in Large Introductory Physics Classes examined the use of collaborative, multiple-choice format question (MCFQ)-writing activities for students as a supplement to standard peer Instruction methods.

Peer Instruction

Peer Instruction

In general, research has found student evaluations of teaching to be a valid and reliable means to evaluate instruction. However, it is necessarily true that student evaluations reflect the students' perceptions and points-of-view. Therefore, it is important to view course evaluations as just one measure of teaching effectiveness-a set of data that can be used alongside peer evaluation of teaching, instructor self-evaluation, and other measures.

An understanding of complex causality is a necessary foundational skill for advanced science and mathematics. Ecosystems science, an important strand of the life science content standards, requires an understanding of complex causal relationships. However, even after instruction, students often retain inaccurate interpretations about ecosystems' structural patterns and systemic causality. To address this issue, we are developing a Multi-User Virtual Environment (MUVE)-based ecosystems science curriculum called EcoMUVE, based on middle school life science standards.

"Response switching and self-efficacy in Peer Instruction classrooms" by Eric Mazur.

This module has been developed by the University of Ontario Institute of Technology in response to the Ontario Government's requirement for educators under Accessibility for Ontarians with Disabilities Act (AODA). The goal of the AODA is to have a fully accessible Ontario by 2025. This module is open for public access and participation is not tracked. If you wish to use the module or link to it, you have permission from UOIT as long as UOIT receives appropriate credit. Accessibility is important and we welcome the opportunity to share this information with others.