The Future of Education Will Depend on How Institutions Respond to the Rise of Artificial Intelligence by Dr. Joybert Javnyuy

The Future of Education Will Depend on How Institutions Respond to the Rise of Artificial Intelligence by Dr. Joybert Javnyuy

The most consequential educational question surrounding artificial intelligence is no longer whether students will use it. The question is whether educational institutions can redesign teaching, assessment, and academic governance quickly enough to ensure that technological assistance strengthens genuine intellectual development.

Artificial intelligence is changing how students research information, organize knowledge, complete assignments, and approach complex academic problems. These developments create opportunities for personalized learning, but they also raise fundamental questions about independent reasoning, academic integrity, and the purpose of formal education.

Research from Pew Research Center provides important evidence of this transition.

In its February 24, 2026 report, How Teens Use and View AI, Pew Research Center found that 54% of surveyed American teenagers aged 13 to 17 had used artificial intelligence chatbots to obtain help with schoolwork. Another significant finding was that 10% reported completing all or most of their schoolwork with chatbot assistance.

The research also revealed that 59% of teenagers believed students at their schools used artificial intelligence to cheat at least somewhat often.

These findings illustrate a profound challenge for educational leadership. Students are incorporating artificial intelligence into their learning activities, but institutions must determine which forms of assistance support learning and which undermine the development of independent competence.

A changing definition of academic competence
For generations, educational assessment has emphasized the ability to retrieve information, explain concepts, solve problems, and produce original written work. Artificial intelligence now performs or assists with many of these activities.

Consequently, educational institutions must distinguish between a student's ability to produce an answer and the student's ability to understand, defend, and apply that answer.

An institution that evaluates students exclusively through assignments that can be completed with automated assistance may struggle to establish whether its graduates possess the competencies their qualifications represent.

This does not justify abandoning artificial intelligence. Instead, it supports the development of assessment systems that measure reasoning, judgment, application, and demonstrated mastery.

Oral examinations, supervised practical assessments, research defenses, case analysis, and authentic professional projects could become increasingly important components of educational quality assurance.

Implications across the continents
Although Pew's findings concern American teenagers, the institutional questions extend well beyond North America.

For African educational institutions, the opportunity is to integrate artificial intelligence into teaching while accounting for differences in digital infrastructure and student access.

Across Asia, where educational systems vary substantially in scale and governance, institutions can consider how AI literacy should fit within existing academic standards.

European universities can examine how assessment policies, academic autonomy, and institutional accountability should evolve as automated assistance becomes more capable.

In South America, education leaders can consider whether AI-enabled learning could support broader educational participation without weakening instructional quality.

For institutions in Oceania, including universities serving geographically dispersed communities, AI-assisted educational delivery raises questions about accessibility, faculty oversight, and student support.

These are strategic implications rather than findings established by Pew for each region.

The responsibility of accreditation and quality assurance bodies
Accreditation organizations have a particular responsibility in this transition.

Academic quality can no longer be evaluated solely by examining curricula, faculty qualifications, institutional facilities, and traditional assessment policies.

Quality assurance frameworks should increasingly examine how institutions govern artificial intelligence, establish acceptable academic uses, protect student information, train faculty, and verify student competence.

Institutions should demonstrate that their graduates can use modern technologies responsibly without surrendering independent judgment.

For Christian and private higher education institutions, this responsibility also includes ethical formation. Technology should serve human development rather than become a substitute for intellectual discipline, accountability, or personal responsibility.

The responsibility of accreditation and quality assurance bodies
Accreditation organizations have a particular responsibility in this transition.

Academic quality can no longer be evaluated solely by examining curricula, faculty qualifications, institutional facilities, and traditional assessment policies.

Quality assurance frameworks should increasingly examine how institutions govern artificial intelligence, establish acceptable academic uses, protect student information, train faculty, and verify student competence.

Institutions should demonstrate that their graduates can use modern technologies responsibly without surrendering independent judgment.

For Christian and private higher education institutions, this responsibility also includes ethical formation. Technology should serve human development rather than become a substitute for intellectual discipline, accountability, or personal responsibility.

Dr. Joybert Javnyuy
Accreditation & Compliance Council for Christian and Private Higher Education