AI & Data Competencies: Scaffolding Holistic AI Literacy in Higher Education
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| Title: | AI & Data Competencies: Scaffolding Holistic AI Literacy in Higher Education |
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| Language: | English |
| Authors: | Kathleen Kennedy, Anuj Gupta |
| Source: | Thresholds in Education. 2025 48(2):182-201. |
| Availability: | Academy for Educational Studies. 2419 Berkeley Street, Springfield, MO 65804. Tel: 417-299-1560; e-mail: cqieeditors@gmail.com; Web site: http://academyforeducationalstudies.org |
| Peer Reviewed: | Y |
| Page Count: | 20 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Digital Literacy, Scaffolding (Teaching Technique), Higher Education, Ethics, Sociocultural Patterns, Curriculum Development, Learning Activities, Student Evaluation, Holistic Approach |
| Geographic Terms: | Arizona |
| ISSN: | 0196-9641 2381-5485 |
| Abstract: | This chapter introduces the AI & Data Acumen Learning Outcomes Framework, a comprehensive tool designed to guide the integration of AI literacy across higher education. Developed through a collaborative process, the framework defines key AI and data-related competencies across four proficiency levels and seven knowledge dimensions. It provides a structured approach for educators to scaffold student learning in AI, balancing technical skills with ethical considerations and sociocultural awareness. The chapter outlines the framework's development process, its structure, and practical strategies for implementation in curriculum design, learning activities, and assessment. We address challenges in implementation and future directions for AI education. By offering a roadmap for developing students' holistic AI literacy, this framework prepares learners to leverage generative AI capabilities in both academic and professional contexts. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1483968 |
| Database: | ERIC |
| Abstract: | This chapter introduces the AI & Data Acumen Learning Outcomes Framework, a comprehensive tool designed to guide the integration of AI literacy across higher education. Developed through a collaborative process, the framework defines key AI and data-related competencies across four proficiency levels and seven knowledge dimensions. It provides a structured approach for educators to scaffold student learning in AI, balancing technical skills with ethical considerations and sociocultural awareness. The chapter outlines the framework's development process, its structure, and practical strategies for implementation in curriculum design, learning activities, and assessment. We address challenges in implementation and future directions for AI education. By offering a roadmap for developing students' holistic AI literacy, this framework prepares learners to leverage generative AI capabilities in both academic and professional contexts. |
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| ISSN: | 0196-9641 2381-5485 |
