Landscape of Emerging Technologies in Higher Education: A Review
Saved in:
| Title: | Landscape of Emerging Technologies in Higher Education: A Review |
|---|---|
| Language: | English |
| Authors: | Sharin Jacob, Heather Miceli, Hannah Schneider, Digital Promise, Association of American Colleges and Universities (AAC&U) |
| Source: | Digital Promise. 2026. |
| Availability: | Digital Promise. 1001 Connecticut Avenue NW Suite 935, Washington DC 20036. Tel: 202-450-3675; e-mail: contact@digitalpromise.org; Web site: https://digitalpromise.org/ |
| Peer Reviewed: | N |
| Page Count: | 23 |
| Publication Date: | 2026 |
| Sponsoring Agency: | William and Flora Hewlett Foundation |
| Document Type: | Information Analyses |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Technology Integration, Technological Advancement, Educational Practices, Educational Policy, Access to Computers, Barriers, Technology Uses in Education, Influence of Technology, Technology Education, Higher Education |
| Abstract: | This literature review explores the rapid integration of artificial intelligence in higher education, examining both institutional influences and instructional practices. It highlights how governance frameworks, resource allocation, and faculty attitudes shape access and responsible technology adoption. Pedagogically, the paper emphasizes the necessity of embedding AI literacy, critical evaluation, and ethical reasoning into curricula to prevent student overreliance on AI tools. Ultimately, institutions must balance innovation with accountability by carefully aligning AI tools with educational values to advance authentic learning. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | ED682345 |
| Database: | ERIC |
| Abstract: | This literature review explores the rapid integration of artificial intelligence in higher education, examining both institutional influences and instructional practices. It highlights how governance frameworks, resource allocation, and faculty attitudes shape access and responsible technology adoption. Pedagogically, the paper emphasizes the necessity of embedding AI literacy, critical evaluation, and ethical reasoning into curricula to prevent student overreliance on AI tools. Ultimately, institutions must balance innovation with accountability by carefully aligning AI tools with educational values to advance authentic learning. |
|---|