Expert Training

Artificial Intelligence Applications in Higher Education: Theories, Ethics, and Case Studies for Universities

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Explore AI in education and university AI solutions with ethical case studies, innovative theories, and future-ready academic applications.

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Additional information

Additional information

Authors

Edited by Helen Crompton & and Diane Burke

Publisher

Expert Training

Published On

2018-09-04

Language

English

Format

pdf

Size (MB)

2.15 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.42

Description

Artificial Intelligence Applications in Higher Education: Theories, Ethics, and Case Studies for Universities

Artificial Intelligence Higher Education is transforming how universities teach, learn, and operate. This comprehensive course provides a deep dive into AI’s practical, ethical, and strategic applications within the academic sector.

Whether you’re an educator, administrator, policymaker, or student of educational technologies, this course equips you with the knowledge to harness AI responsibly and effectively in academic institutions.

What You’ll Learn

  • Core theories behind AI integration in university systems
  • Ethical challenges and responsible AI practices in education
  • Real-world case studies from global higher education institutions
  • How AI personalizes learning and automates administrative tasks
  • AI-driven assessment models and student support tools
  • Policy development and institutional AI strategy planning

Requirements

  • Basic understanding of educational systems
  • Familiarity with digital technologies in academic settings
  • No coding experience required

Course Description

This course provides an in-depth exploration of how artificial intelligence is reshaping higher education. Through a blend of theoretical frameworks, practical ethics, and institutional case studies, learners will understand how AI technologies can support both academic and administrative goals.

You’ll analyze global case studies demonstrating successful AI implementation, examine key ethical concerns, and discover strategic approaches that universities use to responsibly incorporate AI into their operations. The course is designed to encourage critical thinking and offers actionable insights for real-world implementation.

Additionally, you’ll explore how machine learning algorithms are being used to personalize student learning experiences and how AI enhances campus efficiency. From admissions to alumni relations, every aspect of the academic journey is covered through the lens of innovation.

About the Publication

This expertly developed course is created by leading scholars and practitioners in AI and education. Their combined academic research and real-world experience ensure a balanced, insightful, and practical learning experience tailored for the higher education landscape.

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Additional information

Authors

Edited by Helen Crompton & and Diane Burke

Publisher

Expert Training

Published On

2018-09-04

Language

English

Format

pdf

Size (MB)

2.15 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.42

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