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ERIC Number: ED639324
Record Type: Non-Journal
Publication Date: 2023
Pages: 44
Abstractor: ERIC
ISBN: N/A
ISSN: N/A
EISSN: N/A
Curricula of Many Sources: Educational Resources in U.S. K-12 Education, 2023
Julia E. Seaman; Jeff Seaman
Bay View Analytics
This is the 4th report in a series tracking curricula discovery, selection, and adoption processes in U.S. K-12. This series has followed the direct impact of the global COVID-19 pandemic on classroom materials, tracking the rise of digital learning and the subsequent return to the classroom. This survey was conducted in April 2023, with a total of 1,205 teachers and 487 administrators. The respondents come from all 50 states. The key takeaways from this year's survey are: (1) While over 90% of teachers only teach fully in-person classes, the majority are incorporating digital tools and materials in their classrooms, such as student devices, online grading, and digital attendance tracking; (2) A growing number of teachers are using digital textbooks, with up to 77% offering the required textbook in a digital format, compared to 68% last year; (3) Teachers combine multiple sources of materials to make their curricula; self-made materials (as compared to commercial materials) remain the most common source for non-textbook student materials used in classrooms; (4) Teacher ratings for their curricula have slightly improved over the past two years but still show many areas for improvement; 50% of teachers give failing grades for included non-textbook student materials and instructor support materials; (5) Professional development was offered to over 90% of teachers last year, but almost a third of teachers give the professional development they received a failing grade; and (6) Awareness of OER and licensing has increased over the year to 1 in 4 teachers, and the awareness numbers show a return from the loss last year for both OER and Creative Commons.
Bay View Analytics. 6924 Thornhill Drive, Oakland, CA 94611. Web site: https://www.bayviewanalytics.com/index.html
Publication Type: Reports - Research; Numerical/Quantitative Data
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: William and Flora Hewlett Foundation
Authoring Institution: Bay View Analytics
Grant or Contract Numbers: N/A