Prior Research on Goal-Based Scenarios: A 31-Item Literature Map from Schank’s Theory to Components, Evidence, and Design Contexts

Scope and Method

This note is a literature map of prior research on Goal-Based Scenarios (GBS, Roger Schank’s framework for designing learning environments in which learners acquire skills and knowledge while pursuing a meaningful goal within a scenario), organized into two streams sufficient for a review.

Collection was carried out in mode: academic (source-collection skill), yielding 31 confirmed items from 40 explored rows (24 in the general-theory stream, 16 in the design-context stream) after merging 9 duplicates (0 excluded). Corpus: source/review/goal-based-scenario/papers.md.
The covered period is 1990–2026, with Schank’s Dynamic Memory (1982) included as the sole exception for its role as the cognitive foundation.
Non-peer-reviewed primary sources such as institutional technical reports and interview articles are retained with flag: non-peer.

Curriculum reform in design education in the AI era (including the shift from learning by doing to learning by co-doing) is covered by design-education-ai-adaptation. The industry-side reality of validating and learning in simulated environments before real operation (cyber ranges, exercise-based learning services, and the like) is covered by system-architecture-simulation-learning-industry. This note is limited to the scholarly literature on GBS.

History and Theoretical Background: From Case-Based Reasoning to Learning by Doing

GBS did not emerge as a standalone teaching method. Its starting point is Schank’s theory of memory.

Dynamic Memory (Schank 1982, C04) depicted human memory as structures of experience such as scripts, MOPs, and TOPs, and proposed a cognitive model in which reminding and learning are driven by expectation failure. This view, that knowledge is indexed as cases and retrieved and applied in similar situations, is case-based reasoning (CBR); Kolodner’s textbook (1993, C11) systematized it, and Kolodner (1997, C12) discussed the educational implications of analogical transfer.

GBS is this memory theory turned toward education. If learning is driven by expectation failure and goal pursuit, then instead of having students memorize decontextualized facts as schools do, one should design environments in which learners are given a goal they want to achieve, fail in the course of pursuing it, and encounter experts’ cases (stories) when needed; this is Schank’s inference. The framework was formulated, alongside implementations at Northwestern University’s Institute for the Learning Sciences (ILS), in two 1994 papers in the Journal of the Learning Sciences (the design paper by Schank, Fano, Bell & Jona, C01, and Schank’s single-authored education-reform paper, C02). The cognitive grounds of learning by doing are elaborated in an ILS technical report (Schank 1995, C07), and the extension to business training is recorded in the practitioner’s own voice in an interview with Schank (Graham 1994, C09).

The Seven Components

The design elements of GBS were defined in the founding paper (C01), and the chapter in Reigeluth’s instructional design canon (Schank, Berman & Macpherson 1999, C06) organized them as seven components.

Learning goals: the process knowledge and content knowledge the scenario is meant to teach. These are the designer’s targets, distinct from the goal the learner pursues.
Mission: the motivating goal the learner pursues, designed so that achieving the learning goals is necessary for accomplishing the mission.
Cover story: the background narrative that makes the mission plausible and creates a context in which opportunities to practice the target skills arise naturally.
Role: the position the learner plays within the story, cast so that the learner is the agent who uses the target skills.
Scenario operations: the concrete activities the learner performs to accomplish the mission, tightly coupled to the learning goals.
Resources: the information needed to accomplish the mission, largely provided as experts’ stories at the moment they become necessary.
Feedback: delivered just in time in the context of failure, through consequences of actions, coaching, and experts’ stories of similar experiences.

These seven components are consistent with CBR. Providing resources and feedback as experts’ stories is a direct consequence of the memory theory in which knowledge is indexed as cases.

Technical Requirements: Multimedia Simulation and Authoring Support

Early GBS implementations presupposed computer environments. Engines for Education (Schank & Cleary 1995, C03) describes, through the ILS software portfolio, an implementation form of simulation, expert stories delivered by video, and coaching upon failure. The implementation requirements in multimedia environments (interactive feedback, resources on demand) are discussed in the IEEE MultiMedia paper (Schank 1994, C08), and the GBS Builder (Bell & Korcuska 1995, C10), an authoring tool enabling non-programmer domain experts to build a GBS, was also prototyped.

However, as later application studies (C19, C21) show, the GBS design framework itself can be run in classroom teaching, and computers are not mandatory. More recently the implementation media have extended to integration with VR (Cheng, Chen & Lin 2025/2026, C24).

Merits and Demerits: The State of the Evidence

The merits reported by application studies converge on three points: motivation through goal pursuit, skill acquisition in context, and an environment where failure is safe. Design cases in statistics education (Hsu & Moore 2010, C19) and computing fundamentals (Beriswill 2015, C21) show procedures for concretizing the seven components, and quasi-experiments report gains in knowledge and skills with scaffolding functions in 5th-grade programming education (Kandin & Şendurur 2022, C22), significant improvements in academic achievement and the abstraction dimension of computational thinking in a 6th-grade information technology unit (Ceylan & Vural 2025, C23), and improved learning outcomes with managed cognitive load in VR tree-risk-assessment training (C24).

The demerits and limits appear in the structure of the evidence itself. First, the center of gravity of the evidence lies in descriptive design cases, and controlled effectiveness studies are concentrated in 2020s Turkish and Taiwanese quasi-experiments. No meta-analysis of GBS could be bibliographically confirmed in this search (see the screening record). Second, as the formative evaluation (Hsu & Moore 2011, C20) shows, operating the model requires design adjustments, and assembling all seven components itself demands a high design cost. Third, the student-experience survey of a scenario-centred curriculum (Bell, Galilea & Tolouei 2010, C30) reports that while scenario learning raises awareness of generic skills, integration with disciplinary design-skill teaching remains a challenge, suggesting that the coupling of narrative and learning goals is not guaranteed by design alone.

Comparisons with Other Approaches

GBS is one of several constructivist learning-environment designs that appeared around 1990, so the reference points for comparison are well established.

Anchored instruction (CTGV 1990, C14; the Jasper empirical work is 1992, C15): isomorphic to GBS in embedding problem solving in a video macro-context, but the learner is closer to an observer than a protagonist of the story; assigning a role and a mission is the GBS differential.
PBL and Learning by Design (Kolodner et al. 2003, C16): PBL is open to learner-driven inquiry, whereas GBS designs the goal, story, operations, and feedback in advance. Learning by Design, which grafts CBR onto PBL, is a sister framework in the same memory-theory lineage as GBS (reviewed in Kolodner, Cox & González-Calero 2005, C17).
Instructional design theories: Merrill’s first principles (2002, C25) with their problem-centered principle, Jonassen’s typology of problems (2000, C26), and story-based support for problem solving (Jonassen & Hernandez-Serrano 2002, C13) provide contrast axes for theoretically weighing GBS design decisions (which problem, which story, which support).
Situated learning (Lave & Wenger 1991, C18): the theoretical background of the GBS premise of taking on a role in an authentic context, but a GBS scenario is a designed pseudo-practice, not participation in a community of practice itself. This distance can serve as an entry point for theoretical critique of GBS.

GBS in Design Contexts

Reception in design contexts can be confirmed along three routes.

The first is canonization in instructional design. With the Learning by Doing chapter (C06) included in Volume II of Reigeluth’s compendium, GBS became one of the standard theories that instructional designers reference.

The second is research on learning through designing. Kolodner (2002, C29) draws on Learning by Design practice to organize how to support the learning of design practices such as decision making, trade-offs, and teamwork; this is the most direct connection between CBR-based learning-environment design and design education.

The third is scenario-driven curricula in design-related education. UCL’s civil and environmental engineering ran a scenario-centred curriculum and surveyed student experience (C30). In HCI education, there is a constructivist introduction of scenario-based design into undergraduate teaching (Vat 2001, C28) and a redesign of an HCI design studio combining PBL and virtual worlds (Koutsabasis & Vosinakis 2012, C31).

A contrast is also needed. Carroll’s scenario-based design (2000, C27) uses scenarios as a design representation (descriptions of users’ situations of use), not as the skeleton of a learning environment as GBS does. The same word “scenario” plays different roles in design methodology and in learning-environment design.

Gaps (Unmet Questions)

Absence of explicit application to design studios: no peer-reviewed study explicitly using the seven GBS components in architecture or product design studio teaching was found in this search. Scenario-centred curricula (C30) and PBL studios (C31) are adjacent but are not designs and evaluations that name GBS.
Thinness of effectiveness evidence: controlled effectiveness studies are limited to quasi-experiments in elementary programming education and VR training, and no meta-analysis could be bibliographically confirmed. The generalizability of GBS effects remains unestablished.
Absence of theoretical dialogue with scenario-based design: no peer-reviewed paper directly comparing Carroll’s scenario methods with GBS was found. The similarities and differences between scenarios in design practice and scenarios in learning design remain open for discussion.
Lack of contemporary verification in professional training: one origin of GBS is corporate training (C09), but this search could not confirm peer-reviewed studies verifying its application in contemporary professional training or instructional design practice.

Unverified Items

C07 (Schank 1995, ILS Technical Report): full text unconfirmed because direct access to cogprints returns 403 (bibliography confirmed via archive URL).
C10 (Bell & Korcuska 1995, ERIC ED382180): full text unconfirmed due to scanned PDF (URL reachability confirmed).
C20 (Hsu & Moore 2011, JAID): publisher’s official page unconfirmed (bibliography from ERIC and ResearchGate metadata).
C27 (Carroll 2000): MIT Press Direct returns 403; bibliography identified by ISBN.
C28 (Vat 2001): page numbers are the Crossref values 9–12 (verification against the ACM DL recommended).
C29 (Kolodner 2002, EJ782298): PDF full text unconfirmed (ERIC URL reachability confirmed; no DOI assigned).

References

Schank, R.C., Fano, A., Bell, B., & Jona, M. (1994). The Design of Goal-Based Scenarios. Journal of the Learning Sciences, 3(4), 305–345. https://doi.org/10.1207/s15327809jls0304_2 (accessed 2026-08-07)
Schank, R.C. (1994). Goal-Based Scenarios: A Radical Look at Education. Journal of the Learning Sciences, 3(4), 429–453. https://doi.org/10.1207/s15327809jls0304_5 (accessed 2026-08-07)
Schank, R.C., & Cleary, C. (1995). Engines for Education. Lawrence Erlbaum Associates. https://www.routledge.com/Engines-for-Education/Schank-Cleary/p/book/9780805819458 (accessed 2026-08-07)
Schank, R.C. (1982). Dynamic Memory: A Theory of Reminding and Learning in Computers and People. Cambridge University Press.
Schank, R.C. (1999). Dynamic Memory Revisited (2nd ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511527920 (accessed 2026-08-07)
Schank, R.C., Berman, T.R., & Macpherson, K.A. (1999). Learning by Doing. In C.M. Reigeluth (Ed.), Instructional-Design Theories and Models: A New Paradigm of Instructional Theory, Vol. II (pp. 161–181). Lawrence Erlbaum Associates. ISBN 9780805828597.
Schank, R.C. (1995). What We Learn When We Learn by Doing (Technical Report No. 60). Institute for the Learning Sciences, Northwestern University. https://web-archive.southampton.ac.uk/cogprints.org/637/ (accessed 2026-08-07)
Schank, R.C. (1994). Active Learning Through Multimedia. IEEE MultiMedia, 1(1), 69–78. https://doi.org/10.1109/93.295270 (accessed 2026-08-07)
Graham, W. (1994). Goal-Based Scenarios and Business Training: A Conversation with Roger C. Schank. Educational Technology, 34(9), 27–29. https://eric.ed.gov/?id=EJ493311 (accessed 2026-08-07)
Bell, B., & Korcuska, M. (1995). The Goal-Based Scenario Builder. ERIC ED382180. https://files.eric.ed.gov/fulltext/ED382180.pdf (accessed 2026-08-07)
Kolodner, J.L. (1993). Case-Based Reasoning. Morgan Kaufmann. https://archive.org/details/casebasedreasoni00kolo (accessed 2026-08-07)
Kolodner, J.L. (1997). Educational Implications of Analogy: A View from Case-Based Reasoning. American Psychologist, 52(1), 57–66. https://doi.org/10.1037/0003-066x.52.1.57 (accessed 2026-08-07)
Jonassen, D.H., & Hernandez-Serrano, J. (2002). Case-Based Reasoning and Instructional Design: Using Stories to Support Problem Solving. Educational Technology Research and Development, 50(2), 65–77. https://doi.org/10.1007/BF02504994 (accessed 2026-08-07)
Cognition and Technology Group at Vanderbilt. (1990). Anchored Instruction and Its Relationship to Situated Cognition. Educational Researcher, 19(6), 2–10. https://doi.org/10.3102/0013189X019006002 (accessed 2026-08-07)
Cognition and Technology Group at Vanderbilt. (1992). The Jasper Series as an Example of Anchored Instruction: Theory, Program Description, and Assessment Data. Educational Psychologist, 27(3), 291–315. https://doi.org/10.1207/s15326985ep2703_3 (accessed 2026-08-07)
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: Putting Learning by Design into Practice. Journal of the Learning Sciences, 12(4), 495–547. https://doi.org/10.1207/S15327809JLS1204_2 (accessed 2026-08-07)
Kolodner, J.L., Cox, M.T., & González-Calero, P.A. (2005). Case-Based Reasoning-Inspired Approaches to Education. The Knowledge Engineering Review, 20(3), 299–303. https://doi.org/10.1017/S0269888906000634 (accessed 2026-08-07)
Lave, J., & Wenger, E. (1991). Situated Learning: Legitimate Peripheral Participation. Cambridge University Press. ISBN 9780521423748.
Hsu, C.-Y., & Moore, D.R. (2010). An Example Implementation of Schank’s Goal-Based Scenarios. TechTrends, 54(1), 58–61. https://doi.org/10.1007/s11528-009-0364-9 (accessed 2026-08-07)
Hsu, C.-Y., & Moore, D.R. (2011). Formative Research on the Goal-Based Scenario Model Applied to Computer Delivery and Simulation. Journal of Applied Instructional Design, 1(1), 13–24. https://www.researchgate.net/publication/256616305 (accessed 2026-08-07)
Beriswill, J.E. (2015). Design Process of a Goal-Based Scenario on Computing Fundamentals. TechTrends, 59(6), 15–20. https://doi.org/10.1007/s11528-015-0899-x (accessed 2026-08-07)
Kandin, E., & Şendurur, E. (2022). The Effects of Goal-Based Scenarios Used for Programming Education of 5th Graders. Interactive Learning Environments, 31(10), 6335–6355. https://doi.org/10.1080/10494820.2022.2036199 (accessed 2026-08-07)
Ceylan, V.K., & Vural, R. (2025). The Effect of Goal-Based Scenario Curriculum on Computational Thinking Skills and Academic Achievement. Bayburt Eğitim Fakültesi Dergisi, 20(47), 1038–1067. https://doi.org/10.35675/befdergi.1604842 (accessed 2026-08-07)
Cheng, B.-Y., Chen, J.-C., & Lin, C.-C. (2025). Evaluation of the Effectiveness of Integrating Virtual Reality with Goal-Based Scenario Learning Theory in Tree Risk Assessment. In Innovative Technologies and Learning (ICITL 2025) (pp. 297–305). Springer. https://doi.org/10.1007/978-3-031-98185-2_31 (accessed 2026-08-07)
Merrill, M.D. (2002). First Principles of Instruction. Educational Technology Research and Development, 50(3), 43–59. https://doi.org/10.1007/BF02505024 (accessed 2026-08-07)
Jonassen, D.H. (2000). Toward a Design Theory of Problem Solving. Educational Technology Research and Development, 48(4), 63–85. https://doi.org/10.1007/BF02300500 (accessed 2026-08-07)
Carroll, J.M. (2000). Making Use: Scenario-Based Design of Human-Computer Interactions. MIT Press. ISBN 9780262032797. https://direct.mit.edu/books/monograph/1900/ (accessed 2026-08-07)
Vat, K.H. (2001). Teaching HCI with Scenario-Based Design: The Constructivist’s Synthesis. In Proceedings of ITiCSE 2001 (pp. 9–12). ACM. https://doi.org/10.1145/377435.377445 (accessed 2026-08-07)
Kolodner, J.L. (2002). Facilitating the Learning of Design Practices: Lessons Learned from an Inquiry into Science Education. Journal of Industrial Teacher Education, 39(3), 9–40. https://files.eric.ed.gov/fulltext/EJ782298.pdf (accessed 2026-08-07)
Bell, S., Galilea, P., & Tolouei, R. (2010). Student Experience of a Scenario-Centred Curriculum. European Journal of Engineering Education, 35(3), 235–245. https://doi.org/10.1080/03043791003703169 (accessed 2026-08-07)
Koutsabasis, P., & Vosinakis, S. (2012). Rethinking HCI Education for Design: Problem-Based Learning and Virtual Worlds at an HCI Design Studio. International Journal of Human-Computer Interaction, 28(8), 485–499. https://doi.org/10.1080/10447318.2012.687664 (accessed 2026-08-07)