Problem Presentation

Element · All elements
Evidence · 6 claims (4 for, 2 mixed) · 15 studies (4 quant-synthesis, 4 theoretical, 3 causal, 2 review, 1 associational, 1 design), q2–q4 · 5 of 15 report an effect size · 2 claims rest on one study

Description

Problem presentation is the instructional element in which learners are confronted with an authentic, ill-structured problem before receiving instruction on how to solve it. The problem functions as the organizing stimulus for inquiry: it activates prior knowledge, creates a need to know, and situates subsequent learning in a meaningful context. It is the opening move of Problem-Based Learning and Goal-Based Scenarios, where the quality of the problem largely determines the quality of the learning that follows.

Design Implications

A well-presented problem engages learners in authentic problem-solving by making the task feel consequential and by requiring them to identify what they need to learn rather than applying a pre-taught procedure A training-design argument, not tested by any study recorded here, holds that practising whole complex tasks improves transfer of complex skills [+W]. The presentation should specify the problem context, constraints, and success criteria while deliberately withholding the solution path. Because learners must analyze the situation before acting, prompting them to articulate their reasoning during analysis strengthens conceptual understanding Self-explanation improves conceptual understanding. [+S].

Context

Requirements

• An authentic problem with realistic complexity, constraints, and stakes — drawn from professional practice where possible
• Clear roles, deliverables, and success criteria so learners know what "solving" means
• Access to resources and scaffolds (Coaching, reference materials) appropriate to learners' prior knowledge
• A mechanism for learners to surface learning needs — e.g., structured discussion or Check-Ins

Constraints

• Ill-structured problems impose heavy extraneous load on novices; without scaffolding, unguided problem presentation produces minimal learning compared with guided instruction Minimal guidance is less effective for novices than explicit instruction [~M]
• Problems that are authentic but far outside learners' experience can frustrate rather than motivate; the expertise-reversal pattern means guidance must increase as prior knowledge decreases Worked-example guidance becomes less effective as learner expertise increases. [~M]
• If the problem is presented without follow-up instruction or debriefing, learners may entrench misconceptions [-M]
• Time-intensive: problem design, facilitation, and assessment all cost more than expository presentation

Target Learners

• Advanced learners in professional fields (business, law, medicine, engineering, STEM) who have enough domain knowledge to analyze a problem productively
• Learners preparing for transfer to real practice, where problems arrive without labels or pre-taught procedures
• Less suitable for complete novices, who lack the knowledge base to benefit from unstructured problem analysis Worked-example guidance becomes less effective as learner expertise increases. [~M]

Target Learning Goals

• Problem-solving and diagnostic reasoning: analyzing ambiguous situations and formulating solution strategies
• Knowledge application: connecting concepts to authentic contexts rather than recalling them in isolation
• Self-directed learning: identifying gaps and pursuing needed information
• Collaboration and communication when problems are tackled in teams

Affordances

• Problem-Based Learning — problem presentation is the initiating element of this principle; the problem precedes and drives all instruction rather than following it
• Situated Learning — presenting a problem embedded in a realistic context grounds knowledge in the situations of its use, supporting transfer to professional practice
• Activation — a well-chosen problem forces learners to retrieve and mobilize prior knowledge before new instruction begins
• Cognitive Load Management — the presenter controls complexity, scaffolds, and resource availability, shaping how much of the problem's load learners must carry unaided

Claims

• A reasoning-oriented LLM outperformed a standard LLM on scenario quality and feasibility of generated design problems, with no differences on alignment, cognitive complexity, or clarity [+W]

The evidence by question

• Should learners attempt a problem before the idea is taught, and what must the teaching afterwards do? Productive Failure Improves Conceptual Learning [+S]
• How much guidance do novices need inside a problem-centred design? Minimal guidance is less effective for novices than explicit instruction [~S]

Related Elements

• Case Study — a related element that presents an already-analyzed situation; problem presentation differs in that the resolution is unknown and learner-driven
• Inquiry-Based Learning — the questioning process the presented problem is meant to trigger
• Problem Scenarios — the narrative framing device often used to deliver the problem
• Challenge Identification — the analytic step learners perform on the presented problem
• Coaching — the facilitation element that keeps problem analysis productive

Patterns That Use This Element

• Problem-Based Learning — the problem is the first and organizing event of the entire cycle
• Goal-Based Scenarios — the problem is framed as a mission or goal the learner must pursue within a simulated environment
• Case-Based Learning — cases supply the authentic problem context for analysis and discussion

Examples

Harvard Business School Case Method — Students receive a real business dilemma before class and must arrive at a defensible position; class discussion replaces lecture as the primary learning mechanism.

Maastricht University PBL — A whole curriculum built on presenting authentic problems to small groups, who formulate learning goals and self-direct their study before reconvening.

Goal-Based Scenarios (Schank) — Simulated missions (e.g., "Sickle Cell Counselor") in which learners are given a role and a goal that can only be achieved by acquiring targeted knowledge and skills.

Key Sources

• Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235–266. doi:10.1023/B:EDPR.0000034022.16470.f3
• Merrill, M. D. (2002). First principles of instruction. Educational Technology Research and Development, 50(3), 43–59. doi:10.1007/BF02505024
• Schank, R. C., Berman, T. R., & Macpherson, K. A. (1999). Learning by doing. In C. M. Reigeluth (Ed.), Instructional-design theories and models: Vol. II (pp. 161–181). Erlbaum.
• Kolodner, J. L., Camp, P. J., Crismond, D., Fasse, B., Gray, J., Holbrook, J., Puntambekar, S., & Ryan, M. (2003). Problem-based learning meets case-based reasoning in the middle-school science classroom. Journal of the Learning Sciences, 12(4), 495–547. doi:10.1207/s15327809jls1204_2

Page metadata

Field	Value
type	element
id	problem-presentation
title	Problem Presentation
description	Learners are introduced to a real-world problem to analyze and solve.
status	review
canonical	True
generated	by claude/unspecified on 2026-08-29
trust	unverified — no one has confirmed this page's content

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