Monday, October 26, 2026

FROM ELIGIBILITY TO CAPABILITY: WHAT SHOULD A DEGREE CERTIFY?

 

 Education 2047 #Blog 68 (27 OCT 2026) 

Why higher cognition, human formation and demonstrated action must replace the knowledge-worker model of conventional education

 

A Degree Opens the Door. But Can Its Holder Walk Through It?

For generations, a university degree has served as a passport to opportunity. It establishes eligibility for employment, competitive examinations, postgraduate education and numerous other pursuits. Society has generally accepted that someone who has successfully completed a degree programme possesses the knowledge and capabilities expected of a graduate.

But eligibility and capability are not the same.

A graduate may possess a degree in economics without being able to examine a local economic problem. A science graduate may reproduce established theories but struggle to design an investigation. A graduate in political science may explain democratic institutions yet lack the ability to facilitate dialogue among people holding conflicting views.

These are not necessarily failures of individual students. They raise questions about what degree programmes are designed to accomplish.

Conventional non-professional programmes largely evolved to prepare knowledge workers. Their organising principle was the acquisition of disciplinary knowledge, and their assessment systems primarily measured how successfully students could demonstrate that acquisition.

Such a model had considerable utility when access to organised knowledge was limited and occupations required people to retrieve, interpret and apply information.

Artificial intelligence is changing that environment.

If machines can increasingly perform routine cognitive tasks, what precisely should a university certify after three or four years of education?

The Cognitive Ceiling We Have Created

Benjamin Bloom's familiar cognitive taxonomy moves from remembering and understanding through applying and analysing to evaluating and creating.

Yet a significant proportion of conventional undergraduate education remains concentrated near the lower levels.

Students attend lectures, prepare notes, reproduce explanations, solve familiar problems and answer questions framed by others. Even where higher-order thinking appears in learning outcomes, examinations frequently reward the reproduction of established knowledge or rehearsed methods.

There is a fundamental contradiction here.

Students entering higher education have already spent approximately twelve years acquiring foundational knowledge. University education should increasingly demand analysis, evaluation, creation and independent inquiry. Instead, conventional teaching and examination practices often continue to reward capabilities that AI can now replicate with remarkable speed.

This does not mean remembering and understanding have become irrelevant. They remain essential foundations of cognition. But foundations should not be mistaken for the building.

A graduate who can explain a problem already solved by others is different from one who can recognise an unfamiliar problem, decide what knowledge is needed, develop a defensible approach and establish whether the proposed solution works.

The second graduate possesses something beyond accumulated knowledge.

The second possesses demonstrable capability.

Even Higher Cognitive Capabilities Are Not Enough

Much of the contemporary discussion about educational reform calls for greater emphasis on critical thinking, creativity, problem-solving and innovation.

These are necessary changes. But I believe they are insufficient.

Human capability cannot be reduced to cognition alone.

Consider a student who can devise an excellent technical solution but cannot cooperate with others. Another may demonstrate outstanding analytical ability but little concern for the people affected by a decision. A third may propose a sophisticated intervention but lack the practical ability to test or implement it.

All three may perform exceptionally well in conventional examinations.

Would we consider them fully prepared?

Education has long recognised three domains of learning: cognitive, affective and psychomotor. Yet their treatment in conventional degree programmes is profoundly uneven.

Domain

What must be developed

How capability becomes visible

Cognitive

Analysis, judgement, creation and independent inquiry

Investigations, explanations, decisions and original contributions

Affective

Empathy, ethical responsibility, collaboration, perseverance and openness

Conduct under real constraints, peer interaction, reflection and responsible choices

Psychomotor

Practical execution, skilled use of tools, experimentation and refinement

Demonstrations, prototypes, performances, field activities and reliable execution

 

The relative importance of these domains will differ across disciplines and intended capabilities. Psychomotor capability in experimental science or design may look very different from the skilled performance involved in communication, the arts or field research.

However, the larger principle remains: a person's intellectual ability is not the complete measure of their capability.

Indeed, as AI makes cognitive assistance increasingly accessible, the qualities that determine how people use intelligence may become even more consequential.

These Capabilities Cannot Be Developed Through Lectures Alone

We cannot develop empathy merely by teaching its definition.

We cannot develop ethical judgement only by asking students to reproduce theories of ethics.

We cannot establish practical capability by evaluating whether someone can describe a procedure.

Such capabilities require experiences in which learners must act, make choices, confront uncertainty, cooperate, reflect and improve.

That is why field engagement, authentic challenges, community interaction, experimentation and sustained group activities must move from the margins of undergraduate education to its centre.

Imagine students investigating a recurring waterlogging problem in a neighbourhood.

They must understand rainfall patterns, drainage, land use and relevant public infrastructure. These are cognitive requirements.

They must interact respectfully with residents, recognise conflicting interests, work across disciplinary boundaries and consider the consequences of their recommendations. These involve the affective domain.

They must collect observations, use instruments or digital tools, conduct field surveys, interpret measurements and perhaps construct and test a model. These involve practical and psychomotor capabilities.

The problem does not arrive conveniently divided into academic subjects or learning domains.

Why should education remain divided in that manner?

From Answering Questions to Discovering What Should Be Asked

Conventional examinations begin with questions formulated by teachers. Students are expected to produce acceptable answers within a prescribed time.

But the ability to answer a given question is becoming a less distinctive indicator of human capability when an AI system can often produce an impressive response almost instantly.

The ability to recognise what deserves investigation becomes increasingly important.

Can a student identify a problem that others have overlooked? Can they distinguish an important question from a trivial one? Can they recognise that their original assumption was wrong? Can they formulate a question that opens a productive direction for inquiry?

These capabilities require considerably more than retrieving information.

In my proposed four-quadrant framework, higher education should progressively move learners towards the Unknown Area, Unknown Questions (UAUQ) quadrant, where neither the complete territory nor the questions are predetermined.

At this level, learning is not simply about reaching a known answer. It involves discovering problems, constructing meaningful questions and determining how those questions might be investigated.

AI can participate powerfully in this process, but students must demonstrate intellectual ownership of their inquiry, judgement and conclusions.

The ability to frame and assess questions should therefore become an explicit component of undergraduate assessment.

What, Then, Should Three or Four Years Certify?

A degree should represent more than the successful completion of prescribed courses and examinations.

It should establish credible evidence that the graduate can accomplish meaningful work, exercise judgement and continue developing capabilities when confronted with unfamiliar situations.

This requires a shift in what universities document.

Conventional certification

Capability-oriented certification

Courses successfully completed

Challenges meaningfully undertaken

Credits and grades accumulated

Capabilities demonstrated through evidence

Answers evaluated against prescribed expectations

Questions, methods, decisions and outcomes evaluated

Individual examination performance

Individual contribution within independent and collaborative work

Knowledge acquired in separate subjects

Knowledge integrated across relevant domains

Qualification establishes eligibility

Qualification establishes eligibility supported by credible capability evidence

 

This need not mean abandoning grades, credits or degrees immediately. They serve important administrative and regulatory purposes.

But they are insufficient as complete descriptions of a graduate.

A richer record could include verified projects, field investigations, prototypes, research contributions, reflective accounts, evidence of collaboration, and assessments of ethical conduct and responsibility.

Such a record must distinguish genuine individual contribution from group achievement or AI-generated output. It must also allow capability to be demonstrated through different forms of evidence, rather than imposing a single performance model on every learner.

The result would be a Credible Capability Portrait: a verifiable account of what a graduate knows, can accomplish, and has demonstrated through responsible action.

Unlike a conventional transcript, it would describe capability rather than merely record academic transactions.

The Faculty Must Also Change

There is an uncomfortable implication for universities.

If we expect students to develop capabilities through unfamiliar problems, faculty must themselves be capable of facilitating such learning.

A teacher who has spent years delivering a fixed syllabus may be highly knowledgeable in a discipline but may not yet possess the capabilities required to mentor multidisciplinary investigations, manage diverse groups, evaluate student-formulated questions or assess affective and psychomotor development.

Faculty development programmes must therefore move beyond content updates and demonstrations of new technologies.

Faculty need experiences in curating authentic problems, developing assessment rubrics, facilitating collaborative inquiry, supporting learner autonomy and exercising judgement where no predetermined answer exists.

They should also engage with unfamiliar problems themselves, sometimes learning alongside their students.

This does not diminish the teacher's role. It makes that role more demanding and potentially more valuable.

The teacher is no longer merely responsible for ensuring that students receive knowledge.

The teacher becomes responsible for creating conditions in which students can develop and demonstrate capability.

Beyond Employability

It would be a mistake to interpret this argument solely as a demand for job-ready graduates.

Employment is important, but a university education has a larger purpose.

Graduates are also members of families, communities and democratic societies. They will confront ethical dilemmas, technological disruptions, environmental challenges and situations for which no existing syllabus can provide complete answers.

They may change occupations several times. Some will create enterprises. Others will pursue research, public service, community initiatives or paths that do not yet exist.

A university that prepares students only for currently advertised jobs risks becoming obsolete as those jobs change.

A university that develops their capacity to inquire, act, collaborate, judge and learn independently is preparing them for a much longer future.

Employability may be one consequence of education. Human capability must be its larger purpose.

The Question Universities Can No Longer Avoid

In an earlier article, The Sunset of the Conventional Course, I argued that universities must distinguish between preserving valuable disciplines and preserving academic programmes whose original purposes have weakened.

The present question goes deeper.

Even if we redesign courses, introduce multidisciplinary choices and make curricula more flexible, what will have changed if graduates continue to be assessed primarily on their ability to reproduce knowledge?

We may replace the academic container without changing what it contains.

The real transformation begins when universities redefine what successful graduation signifies.

Not merely that a learner has completed a prescribed sequence.

Not merely that the learner has accumulated sufficient credits.

Not even merely that the learner can think critically.

But that the learner has demonstrated the capability to understand unfamiliar situations, formulate worthwhile questions, mobilise knowledge, act effectively, engage responsibly with others and learn beyond the university.

A degree may establish eligibility. Education must establish capability.

The future credibility of universities may depend on whether they can demonstrate the difference.


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Author

Dr. Neeraj Saxena is a former Scientist at TIFAC/DST and co-author of Educational Roadmap of India's Technology Vision 2035, with subsequent advisory roles at AICTE spanning higher education policy and implementation. He is currently Pro-Chancellor of JIS University, Kolkata, and publishes on AI-induced transformation in education through the Education2047 platform [nrj2000.blogspot.com] & [nrjsaxenajisu.substack.com]


©Dr. Neeraj Saxena, 2026 | CC BY-NC-ND 4.0 | Attribution required | No commercial use | No derivatives without permission.



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