2026全球AI在高等教育领域中的应用调研报告_84页_3mb

Digital Education Council AI in Higher Education Global Survey 2026 Summary

Core Content Overview

The Digital Education Council AI in Higher Education Global Survey 2026 presents a comprehensive analysis of AI adoption and literacy in higher education, drawing from over 45,000 responses from students and faculty across 35 countries. The report highlights both the opportunities and challenges posed by AI in education, emphasizing the need for deliberate institutional strategies to ensure educational outcomes remain aligned with the evolving AI landscape.

Key Findings

1. AI Adoption and Learning Value

• Adoption is widespread, with 77% of faculty and 88% of students using AI in their work.
• However, learning value remains unclear. Only 5% of students who have used AI say it has transformed their learning, and 24% feel it brings no clear benefit.
• Students in the US & Canada report the least benefit from AI integration in their courses.
• Faculty and students share concerns about AI potentially leading to shallow learning and skills erosion.

2. AI Literacy Assessment

• AI literacy is at an early stage, with most respondents at beginner to intermediate levels.
• Global literacy profiles are consistent, with students and faculty showing similar proficiency levels.
• Regional differences exist:
  • APAC shows the highest confidence in AI’s potential, with 66% of faculty agreeing it improves teaching quality.
  • US & Canada has the lowest AI adoption intent among regions, with only 67% of faculty expressing intent to use AI in the future.
  • Latin America has the highest student AI adoption (92%), but faculty literacy lags behind.

3. Faculty Readiness and Institutional Support

• Faculty are adapting on instinct, with limited institutional support or frameworks for intentional AI integration.
• Only 29% of students believe their instructors are well-equipped to guide them on AI use, and this number drops to 17% in the US & Canada.
• Faculty training participation is high, with over 64% having taken AI literacy training, but this does not translate into readiness for AI integration in teaching.

4. Student Concerns and Future Job Readiness

• 41% of students globally worry that AI will reduce job opportunities in their field by the time they graduate.
• APAC students show the highest concern, with 50% anticipating a shrinking job market.
• Disciplinary differences are evident: students in Humanities and Social Sciences, Business, Law, and STEM are most concerned about AI’s impact on employment.
• Students feel underprepared to use AI professionally, with 43% of students believing their current studies are not adequately preparing them.

5. Assessment and Curriculum Relevance

• Only 28% of students believe their assessments align with future workforce needs, while 72% do not.
• Faculty are more confident in curriculum relevance, with 43% globally not worrying about their teaching becoming outdated.
• APAC faculty feel the most pressure to adapt, with 43% concerned about outdated content.
• US & Canada faculty are the most confident, with 58% not worried about curriculum relevance.

6. Student Attitudes Toward AI Use

• 55% of US & Canada students would support an institution-wide AI ban, reflecting a strong caution about AI’s role in education.
• Students in EMEA and Latin America are more attached to AI, with 33% and 34% respectively strongly agreeing they would be disappointed if AI were banned.
• Peer misuse of AI is a major concern, with 60% of students globally worried about unfair advantages, rising to 73% in the US & Canada.

Main Themes and Recommendations

• AI adoption is accelerating, but educational strategies are lagging.
• Institutions must provide clear direction and support for AI integration to ensure it enhances learning rather than undermines it.
• Curriculum relevance is a growing concern, and institutions must actively embed AI into their programs to remain competitive.
• Student trust in AI use is critical, and institutions need to address concerns about fairness and authenticity in learning.
• Faculty training and policy development are essential to guide AI use in a responsible and effective manner.
• Regional differences require tailored approaches to AI integration, as perceptions and concerns vary significantly across APAC, EMEA, US & Canada, and Latin America.

Key Takeaways

• AI is becoming a standard part of education, but its educational value is still debated.
• Student and faculty literacy is limited, and institutions need to invest in structured training and resources.
• Curriculum and assessment redesign is urgently needed to align with AI-driven workforce demands.
• US & Canada show a unique concern about AI risks and lower adoption intent, contrasting with more optimistic views in other regions.
• Student confidence in AI integration is low, especially in the US & Canada, suggesting a need for greater transparency and support.

Conclusion

The report underscores that while AI is rapidly entering the educational landscape, its impact on learning and workforce readiness remains uncertain. Institutions must act deliberately to ensure AI is used in ways that enhance, rather than undermine, educational outcomes. The Digital Education Council emphasizes that this is a leadership challenge, not an inevitable fate, and encourages institutions to engage with AI strategically to shape the future of education.