Physics Instructors Try New Teaching Methods, but Few Stick with Them

Change is hard, and act two appears to be the toughest phase of all to get through for physics instructors who want to try to teach their science courses in new ways. A recent study by researchers at Western Michigan University and the University of Colorado - Boulder found that although physics teachers are willing to try innovative teaching techniques in introductory physics courses, many revert to traditional teaching approaches in short order.

The study, "Use of research-based instructional strategies in introductory physics: Where do faculty leave the innovation-decision process?"--recently published by the American Physical Society--also suggests crucial factors that can predict how well an innovation will "stick" for a given instructor.

During 2008 the researchers sampled 722 physics faculty members in higher education across the United States. A Web-based survey asked 61 questions to help identify personal characteristics of the respondent (such as gender) and the familiarity and use of instructional strategies, such as collaborative problem solving, peer instruction, interactive lecture demonstrations, and 21 teaching other approaches or "research-based instructional techniques."

They used this information to figure out the point at which faculty discard the use of a new technique along the adoption lifecycle. The largest losses occurred, according to the report, at the "continuation" stage, where the instructor has to make a choice about whether to stick with the new technique or discontinue it.

The factors that encourage teachers to try out new teaching methods in the first place mostly relate to their exposure to other instructors. That includes reading teaching-related journals, attending talks and workshops related to teaching, and attending physics and astronomy new faculty workshops. Also, instructors tend to be more willing to experiment if they're female, care about meeting instructional goals, and have a permanent, full-time position. And, although it seems obvious, having an interest in using more new teaching approaches correlates with using more new approaches.

What doesn't seem to matter is the age of the instructor, the type of institution, the size of the class being taught, or the percentage of the position actually related to teaching versus other activities.

The paper's authors noted that it's easier to make faculty aware of new approaches to teaching than it is to persuade instructors to stick with them once they've been tried. If a school wants instructors to adopt new instructional approaches, the paper suggested, it'll need to provide greater support to faculty during implementation. Plus, it'll want to identify where in the adoption process "the biggest losses occur" for that particular environment.

"Current change strategies seem to do a reasonably good job of helping faculty develop knowledge and motivation to try these new instructional strategies," the researchers reported. "But additional work is needed to understand and address the third of faculty who discontinue use after trying." In fact, the paper declares, it may be more fruitful to focus on getting those who discontinue use of an innovation to pick it up again than to encourage holdouts to try the innovation in the first place.

About the Author

Dian Schaffhauser is a former senior contributing editor for 1105 Media's education publications THE Journal, Campus Technology and Spaces4Learning.

Featured

  • abstract generative AI technology

    Apple and Google Strike AI Deal to Bring Gemini Models to Siri

    Apple and Google announced they have embarked on a multiyear partnership that will put Google's Gemini models and cloud technology at the core of the next generation of Apple Foundation Models, a move that could help Apple accelerate long-promised upgrades to Siri while handing Google a high-profile distribution win on the iPhone.

  • network of various technology icons

    Newly Launched Agentic AI Foundation Brings Together Tech Giants for Open Source AI Development

    The Linux Foundation has announced the formation of the Agentic AI Foundation, bringing together Microsoft, OpenAI, Anthropic, and other major tech companies to advance open source development of autonomous AI systems.

  • glowing brain above stacked coins

    The Higher Ed Playbook for AI Affordability

    Fulfilling the promise of AI in higher education does not require massive budgets or radical reinvention. By leveraging existing infrastructure, embracing edge and localized AI, collaborating across institutions, and embedding AI thoughtfully across the enterprise, universities can move from experimentation to impact.

  • AI word on microchip and colorful light spread

    Microsoft Unveils Maia 200 Inference Chip to Cut AI Serving Costs

    Microsoft recently introduced Maia 200, a custom-built accelerator aimed at lowering the cost of running artificial intelligence workloads at cloud scale, as major providers look to curb soaring inference expenses and lessen dependence on Nvidia graphics processors.