What is “Deeper Learning”? - Part II

Drawn from Jal Mehta and Sarah Fine, In Search of Deeper Learning (2020)

In educational research, deeper learning refers to learning that is durable, transferable, and generative. It is learning that enables students to use knowledge the way experts do in a discipline.

Scholars contrast deeper learning with:

• rote memorization

• procedural compliance

• short-term performance for tests

Instead, deeper learning emphasizes meaning-making, sense-making, and intellectual agency.

Core Principles That Define Deeper Learning

1. Knowledge Is Organized, Not Accumulated

Deeper learning grows out of research on expertise that emphasizes having well-structured mental models.

Students engaged in deeper learning:

• understand why ideas work, not just that they work

• see relationships, patterns, and systems

• can explain, justify, and critique ideas

This aligns with cognitive science research showing that experts organize knowledge conceptually, while novices store disconnected facts.

2. Learning Is Transfer-Oriented

A central criterion in deeper learning research is transfer—the ability to apply knowledge in new contexts.

Scholars emphasize:

• applying concepts across texts, problems, or situations

• adapting understanding rather than reproducing answers

• recognizing when prior knowledge does or does not apply

If learning does not transfer, researchers argue, it has not gone deep.

3. Students Engage in Authentic Disciplinary Practices

Rather than simulating school tasks, deeper learning asks students to participate in the core practices of disciplines.

Examples:

• historians analyzing sources and constructing interpretations

• scientists modeling, hypothesizing, and revising explanations

• writers making rhetorical decisions for real audiences

As Jal Mehta and Sarah Fine argue, deeper learning occurs when students are apprenticed into how knowledge is produced: “all of our most compelling group had been apprenticed by their own most valued teachers into a way of being that they then sought to pass on to their students” (371).

4. Learning Is Social and Dialogic

Deeper learning research rejects the idea that thinking happens only inside individual minds.

Instead, it highlights:

• discussion, argumentation, and collaborative reasoning

• learning through explanation, disagreement, and revision

• classrooms as intellectual communities

Discussion is a mechanism of learning.

5. Motivation and Identity Are Central, Not Peripheral

Scholars consistently note that deeper learning depends on students seeing themselves as legitimate knowers.

This includes:

• intellectual ownership

• a sense of purpose (“Why does this matter?”)

• relevance to students’ lives, values, or communities

Learning deepens when students care not just about getting it right, but about figuring it out.

6. Assessment Is Embedded and Meaningful

In deeper learning environments, assessment:

• informs learning rather than merely judging it

• is often formative, iterative, and reflective

• values explanation, reasoning, and revision

This contrasts with assessments that reward speed, recall, or surface correctness.

A Unifying Idea Across the Field

Across different frameworks, disciplines, and methodologies, scholars converge on this idea:

Deeper learning happens when students are treated as developing thinkers within a discipline.

Why This Matters in the “Age of AI”

Although deeper learning research predates generative AI, its principles are especially resonant today:

• surface tasks are easily automated

• memorization is less scarce than judgment

• what matters most is how students think, not what they can recall

In that sense, deeper learning scholarship offers a theoretical foundation for rethinking education in our current moment of technological change.