Could the Apparent Gap Disappear if the Construct Were Defined Differently?

Is the Literature Missing Evidence, or Are Researchers Defining the Phenomenon Differently?

You find what appears to be a clear research gap. Perhaps few studies examine “AI dependence,” evidence about “digital engagement” is inconsistent, or researchers seem to have overlooked a particular dimension of “academic resilience.”

Before concluding that something important has not been studied, inspect what those construct labels actually mean across the literature.

Two papers may use the same term while referring to meaningfully different phenomena. Conversely, two research traditions may use different terms for concepts that overlap substantially. Once those definitions are compared, an apparent absence, contradiction, or unexplored relationship can become much smaller, change form, or disappear altogether.

A Research Gap Can Depend on Where You Draw the Construct Boundaries

A Research Gap Is Partly Shaped by What Counts as the Construct

Constructs Organize Observations Into Concepts

Many research questions concern constructs rather than directly observable entities. Motivation, engagement, anxiety, trust, resilience, technology acceptance, digital competence, and dependence are theoretical concepts researchers use to organize patterns of observations.

A construct definition specifies what the concept means within a theoretical framework. It establishes boundaries around what belongs to the construct and, just as importantly, what does not.

Those boundaries influence literature searches, inclusion criteria, measurement decisions, hypotheses, and ultimately what researchers identify as known or unknown.

The Same Label Can Refer to Different Constructs

Suppose several studies investigate “student engagement.” One defines engagement primarily through observable participation, another includes emotional involvement and cognitive investment, while a third uses login frequency and time spent in a learning management system.

All three may use the word engagement, but they are not necessarily investigating an identical construct.

If their findings differ, the literature may initially look inconsistent. Yet part of the inconsistency may arise because the studies are making claims about different conceptualizations under a shared label.

Different Labels Can Refer to Overlapping Constructs

The reverse problem also occurs. A researcher may claim that almost nobody has studied “AI reliance” among students while adjacent literatures investigate “automation reliance,” “technology dependence,” “AI dependency,” “cognitive offloading,” or closely related forms of assistance-seeking.

These constructs should not automatically be treated as interchangeable. Their theoretical boundaries may differ considerably. But neither should a research gap be established by searching only for one preferred label.

Broader and Narrower Definitions Produce Different Gaps

Imagine defining “academic use of generative AI” broadly as any use of a generative AI system related to coursework. Under that definition, brainstorming, translation, proofreading, explanation, coding, summarization, and answer generation might all qualify.

Now define the construct narrowly as using generative AI to produce substantive assessed content that the student submits.

The evidence base for the broad construct may be extensive while evidence for the narrow construct remains limited. Neither definition is inherently correct. They answer different questions.

The gap therefore depends partly on the level of conceptual resolution at which the question is asked.

Construct Definition Is Not the Same as Operationalization

These ideas are closely related but should not be collapsed.

Construct definition concerns what the theoretical concept means. Operationalization concerns how that concept is represented or observed empirically.

You might define academic engagement as a multidimensional construct involving behavioral, emotional, and cognitive participation. You could then operationalize it using a questionnaire, observations, trace data, interviews, or some combination.

If changing the measurement procedure changes the finding, you may be confronting a problem created partly by how previous studies measured the phenomenon. If changing the conceptual boundaries changes whether the research question remains unanswered, the issue lies more fundamentally with construct definition.

A Construct Should Not Be Defined by Whatever an Instrument Happens to Measure

A common shortcut is to allow an established scale to define the construct retrospectively: the construct becomes whatever its items happen to contain.

That reverses the desired logic. Measurement should be justified in relation to a theoretically specified construct and intended interpretation. Classic work on construct validity emphasizes that interpreting a score as evidence about an underlying attribute requires a broader network of theoretical and empirical relationships, rather than merely accepting an operation as the construct itself.

This matters for gap identification because a literature dominated by one instrument may inherit the instrument's conceptual boundaries. What looks unstudied may simply fall outside those boundaries.

Conceptual Ambiguity Can Create Apparent Contradictions

Suppose one literature concludes that frequent AI use is associated with stronger learning engagement while another associates “AI dependence” with weaker engagement.

That may be a genuine empirical contradiction. Or the first literature may define AI use as purposeful learning support while the second defines dependence through loss of autonomous functioning. Those are not necessarily opposite measurements of one construct.

Before declaring inconsistent findings, compare definitions, dimensions, populations, contexts, and operationalizations. Sometimes the contradiction becomes theoretically intelligible once researchers stop treating labels as though they guarantee conceptual equivalence.

Changing the Definition Can Reveal a Better Gap

Discovering that an apparent gap disappears is not necessarily bad news. It may reveal a more precise unanswered question.

Perhaps “AI use and academic performance” has already been studied extensively. After examining definitions, however, you discover that studies combine fundamentally different uses into one frequency measure. The stronger gap may concern whether particular forms of AI-supported activity have different relationships with learning outcomes.

The original gap, “AI use has not been sufficiently studied,” becomes difficult to defend. The refined gap may be conceptually sharper and empirically more useful.

Do Not Redefine Constructs Merely to Manufacture Novelty

Researchers can always narrow a concept until almost nothing has been studied under precisely that definition. Add a particular population, context, platform, outcome, and time period, and novelty becomes remarkably easy to manufacture.

That does not necessarily create a consequential research gap.

A defensible redefinition should be theoretically meaningful. It should identify a distinction that changes explanation, prediction, measurement, intervention, interpretation, or another substantive aspect of the research problem.

Construct Definitions Can Legitimately Evolve

Constructs are not necessarily fixed forever. New theory, evidence, technologies, social practices, and disciplinary debates can expose limitations in existing definitions.

The question is not whether the definition has changed, but whether the revised definition is explicit, theoretically justified, and capable of generating meaningful empirical implications. Construct validation has long been understood as an ongoing process in which claims about what a measure represents are tested against theoretical and empirical relationships.

Does a Gap in “AI Dependence” Survive a Better Definition?

The revised construct does not guarantee that the new research question is important. It does, however, show why gap identification should follow conceptual clarification rather than precede it.

Common Mistakes When Construct Definitions Shape Research Gaps

Define the Construct Before You Defend the Gap

Before writing that a construct is understudied, define it in substantive terms. Then search beyond the exact label and compare how neighboring literatures conceptualize the phenomenon.

A strong gap should survive reasonable conceptual scrutiny. If it disappears, refine it rather than defending the original wording. The result may be a smaller gap, but quite often it is a better research problem.

Check Whether Your Gap Survives a Different Construct Definition

Questions About Construct Definitions and Research Gaps

Make Sure the Gap Is in the Knowledge, Not Just in the Vocabulary

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