Relieving Test Jitters Leads to Better Science Course Outcomes

A Stanford experiment found that low-income high schoolers who rechannel their "negative emotions" during STEM testing can do better on the tests — and the course. According to a paper published on the findings, by learning how to regulate their emotions, half as many students failed the course as a control group that didn't undergo those activities. The "large-scale" field test involving 1,175 students was conducted in ninth-grade science classrooms.

During the school year, all of the participants did 10-minute writing exercises before their final exams in January and May and filled out a survey before they left school for the year. The writing exercises asked the students to do a reading they were told was written by scientists explaining how the "anxious arousal" they feel before a stressful event, such as a test, was "actually meant to be helpful instead of harmful."

The students were then randomly assigned to one of four conditions:

  • An expressive writing intervention in which the prompt was the same across semesters, asking students to write freely about their thoughts before the test;
  • A reappraisal intervention in which students were asked to evaluate their symptoms of stress as helpful for test taking; here, the prompts varied from one semester to the next;
  • An intervention that combined the expressive writing and reappraisal interventions; and
  • A control condition that instructed students to ignore symptoms of their stress and nervousness.
The effects of emotion regulation interventions on test performance, course passing and reappraisal of test anxiety. Source: Reducing socioeconomic disparities in the STEM pipeline through student emotion regulation, published in the Proceedings of the National Academy of Sciences

The effects of emotion regulation interventions on test performance, course passing and reappraisal of test anxiety. Source: "Reducing socioeconomic disparities in the STEM pipeline through student emotion regulation" published in the Proceedings of the National Academy of Sciences

The idea was to find out whether interventions that help students regulate their negative emotions during tests could reduce the achievement gap between higher- and lower-income students. Indeed, that's what happened.

For example, 39 percent of lower-income students failed the course in the control group compared with only 18 percent of students failing the course if they participated in the emotion-regulation interventions. In other words, course failure was cut in half.

The results were recently published by the Proceedings of the National Academy of Sciences.

"Our work underscores the crucial importance of targeting students' emotions during impactful points in their academic trajectories for improving STEM preparedness and enhancing overall academic success," the researchers noted in their paper.

The full paper is openly available on the PNAS website.

About the Author

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

Featured

  • close-up of a video game controller

    Verizon Launches Free Scholastic High School Esports League

    Through its Verizon Innovative Learning HQ suite of free learning content and resources, Verizon has launched its first-ever scholastic high school esports league. The league opened for registration on Aug. 8 and will run from Sept. 23 to Dec. 13.

  • illustration of a VPN network with interconnected nodes and lines forming a minimalist network structure

    Report Finds Increasing Number of Vulnerabilities in OpenVPN

    OpenVPN, an open source virtual private network (VPN) system integrated into millions of routers, firmware, PCs, mobile devices and other smart devices, is leaving users open to a growing list of threats, according to a recent report from Microsoft.

  • AI-inspired background pattern with geometric shapes and fine lines in muted blue and gray on a dark background

    IBM Introduces Granite 3.0 Family of Advanced AI Models

    IBM unveiled its most advanced family of AI models to date, Granite 3.0, at its annual TechXchange event. The new models were developed to provide a combination of performance, flexibility, and autonomy that outperforms or matches similarly sized models from leading providers on a range of benchmarks.

  • Abstract illustration of a human news reporter interviewing an AI with a microphone

    AI on AI in Education: A Dialogue

    Scholars are doing lots of asking and predicting about the risks and rewards of generative artificial intelligence in school, but has anyone asked the all-knowing chatbots?