Universities risk falling behind if they fail to adapt to the digital age

Higher education institutions must make structural changes to succeed in the rapidly evolving digital landscape, The Times Higher Education reports. Melissa Loble, chief academic officer at the educational technology company Instructure, says that while universities are attempting to use artificial intelligence (AI) and other digital tools, they have yet to give sufficient attention to system, curriculum, and assessment innovations needed to fully realize their potential.

Loble emphasizes that 2026 should be “the year of reconstruction” in higher education. This involves improving pedagogy, redesigning assessment methods, and integrating different technological systems. She also recommends including modules on the ethical use of AI in curricula so that students gain both technological skills and an understanding of ethical principles.

The impact of AI on the education process presents both opportunities and challenges. Recent studies show that the majority of academic administrators, educators, and students believe AI is being misused, yet most also acknowledge its potential positive impact on learning. Loble notes that addressing the issue solely through technology is not enough; assessment and pedagogical methods must be updated.

Student needs and demographics are also changing. Universities in the United States anticipate a potential decline in first-year enrolments in the near future. Loble describes this as an “enrolment shift” rather than a “cliff,” highlighting that where, what, and how people study is evolving. Microcredentials, short courses, and flexible hybrid learning models provide more suitable learning opportunities for both students and professionals.

Digital transformation is not only crucial in the classroom but also across all university operations. Loble points out that many institutions still rely on outdated, siloed technological systems that cannot integrate efficiently with AI and new tools. According to her, unified data systems and integrated, flexible technological ecosystems are essential for universities to succeed in the future.

In conclusion, higher education institutions must enhance course quality, rethink assessment methods, and coordinate their technological systems to ensure they can meet the demands of students, the workforce, and ongoing technological change in 2026.