ERIC Number: ED678039
Record Type: Non-Journal
Publication Date: 2025
Pages: 36
Abstractor: ERIC
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: 0000-00-00
Mixed Marks for Classroom Resources: Educational Resources in U.S. K-12 Education, 2025
Julia E. Seaman; Jeff Seaman
Bay View Analytics
This is the sixth report in a series tracking curricula discovery, selection, and adoption processes in U.S. K-12 education. The surveys have tracked the growth of digital materials and open educational resources (OER) in K-12 classrooms since 2017, providing trends on adoption and sentiments. This survey was conducted in April 2025, with a total of 1,137 teachers participating. The respondents come from 50 states and the District of Columbia. The key takeaways from this year's survey are: (1) While instruction remains overwhelmingly in-person, print and digital classroom materials are both integrated into classrooms; (2) Teacher satisfaction with classroom materials remains mixed; the majority of materials are given good to passable grades, with no difference based on the format that is used, but there is room for improvement; (3) OER awareness continues to grow, albeit slowly, matched by a small increase in OER adoption in the classroom; and (4) Grade level matters: teachers in higher grades are more likely to offer digital textbooks, though they are also more likely to use print materials, and much more likely to be aware of OER.
Descriptors: Educational Resources, Elementary Secondary Education, Open Educational Resources, Instructional Materials, Electronic Publishing, Educational Trends, In Person Learning, Printed Materials, Teacher Attitudes, Satisfaction, Instructional Program Divisions, Textbooks, Knowledge Level
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
Author Affiliations: N/A


