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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
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
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  Data: Academy for Educational Studies. 2419 Berkeley Street, Springfield, MO 65804. Tel: 417-299-1560; e-mail: cqieeditors@gmail.com; Web site: http://academyforeducationalstudies.org
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  Data: <searchLink fieldCode="DE" term="%22Arizona%22">Arizona</searchLink>
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  Data: 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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      – Text: English
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        PageCount: 20
        StartPage: 182
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Digital Literacy
        Type: general
      – SubjectFull: Scaffolding (Teaching Technique)
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Ethics
        Type: general
      – SubjectFull: Sociocultural Patterns
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      – SubjectFull: Curriculum Development
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      – SubjectFull: Learning Activities
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      – SubjectFull: Student Evaluation
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      – SubjectFull: Holistic Approach
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      – SubjectFull: Arizona
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      – TitleFull: AI & Data Competencies: Scaffolding Holistic AI Literacy in Higher Education
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              Y: 2025
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