Teacher Burnout Top Concern Among Fellow Educators

A national survey conducted during summer 2022 by research-based literacy company Lexia Learning found that the majority of educators (71%) are worried about teacher burnout during the 2022-2023 school year, even though most (66%) are optimistic about the new year.

The survey was sent to a random sample of 20,000 Lexia users who logged into myLexia during the six months prior. Results showed that 75% of educators feel that more one-on-one time would help their students, and more than half feel their students need specialist help such as special ed teachers, subject-matter tutors and school psychologists. While more than half are concerned about teacher shortages (52%), even more (66%) are worried about the availability of non-teacher staff support: custodians, bus drivers, teachers’ aids, substitute teachers, etc., and whether their schools have the resources to pay for them.

A national survey conducted in January by the National Education Association (NEA) bears up these concerns, with 90% of NEA members worried that an alarming number of educators will quit their profession earlier than planned, an exodus fueled by the pandemic. A high percentage of these are already underrepresented Black and Hispanic/Latino educators, the NEA survey found.

As for solutions to the problem, a huge majority of Lexia respondents (83%) believe that more teachers would stay for higher pay, and 71% for smaller class sizes. Only 55% feel that schools have been compensating teachers fairly. While most educators overall feel their schools have done a good job investing in pandemic-induced distance learning with digital tools and classroom technology, an overwhelming 81% worry their students will fall behind if remote learning is reinstated, with 76% concerned that students’ social-emotional health will suffer.

Go here to read more of the Lexia survey results, and here to read more about the NEA survey.

About the Author

Kate Lucariello is a former newspaper editor, EAST Lab high school teacher and college English teacher.

Featured

  • An elementary school teacher and young students interact with floating holographic screens displaying colorful charts and playful data visualizations in a minimalist classroom setting

    New AI Collaborative to Explore Use of Artificial Intelligence to Improve Teaching and Learning

    Education-focused nonprofits Leading Educators and The Learning Accelerator have partnered to launch the School Teams AI Collaborative, a yearlong pilot initiative that will convene school teams, educators, and thought leaders to explore ways that artificial intelligence can enhance instruction.

  • landscape photo with an AI rubber stamp on top

    California AI Watermarking Bill Supported by OpenAI

    OpenAI, creator of ChatGPT, is backing a California bill that would require tech companies to label AI-generated content in the form of a digital "watermark." The proposed legislation, known as the "California Digital Content Provenance Standards" (AB 3211), aims to ensure transparency in digital media by identifying content created through artificial intelligence. This requirement would apply to a broad range of AI-generated material, from harmless memes to deepfakes that could be used to spread misinformation about political candidates.

  • closeup of laptop and smartphone calendars

    2024 Tech Tactics in Education Conference Agenda Announced

    Registration is free for this fully virtual Sept. 25 event, focused on "Building the Future-Ready Institution" in K-12 and higher education.

  • cloud icon connected to a data network with an alert symbol (a triangle with an exclamation mark) overlaying the cloud

    U.S. Department of Commerce Proposes Reporting Requirements for AI, Cloud Providers

    The United States Department of Commerce is proposing a new reporting requirement for AI developers and cloud providers. This proposed rule from the department's Bureau of Industry and Security (BIS) aims to enhance national security by establishing reporting requirements for the development of advanced AI models and computing clusters.