Knowledge Area 2: Human-Centered Design Foundations

This knowledge area covers human-centered design, focusing on empathy-driven research, prototyping, and user testing. Describes how design is adapted to learners' needs and the learning context.

Human-centered design (HCD) is an approach that prioritizes understanding and addressing the needs, motivations, and challenges of the people who use or experience a product[1]. In learning engineering, HCD focuses on creating educational environments, tools, and experiences that align closely with learners’ needs, preferences, and contexts.

1. IDEO (Firm). (2015). The field guide to human-centered design : design kit (1st edition). IDEO.

¶ Subsections:

• 2.1 Definition of Human-Centered Design

• 2.2 Empathy-Driven Research in Human-Centered Design

• 2.3 Personas

• 2.4 Prototyping

• 2.5 User Testing

• 2.6 Iterative Design and Refinement

• 2.7 Integrating Human-Centered Design with Learning Science

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From the Learning Engineering Toolkit

Human-centered design puts the intended end users—learners and the people who support them—at the heart of the design process, and learning engineering opens by making sense of the challenge or problem at hand and the setting in which learning will occur [LET-03]. This groundwork happens before designing so the team can learn about learners' interests, abilities, stages of development, likely prior knowledge, everyday experiences, and support needs, together with the facilitators and with what the learning setting enables or limits [LET-03]. Arriving at an understanding of the challenge is itself iterative: designers glean what they can up front, but teams have to go on learning as their ideas take shape [LET-03].

The Toolkit portrays human-centered design as involving a half-dozen or so activities: observing and interviewing to understand end users, generating ideas, quickly prototyping to make ideas tangible, testing with users to collect data on their preferences and on usability, reworking the design in light of that data, and cycling through the whole thing again with ever more refined prototypes and a broader range of end users [LET-03]. This work borrows from neighboring approaches such as user-centered design, user experience design, and human-systems integration, each of which supplies principles that matter for designing on behalf of learners [LET-03].

A recurring theme is designing for the variation among learners, who differ in prior experience, abilities, interests, and dispositions in ways that shape how they learn [LET-03]. Don Norman cautioned that no one design can serve every user, and that without careful testing across a range of users, human-centered methods can tilt solutions toward the group that helped build them [LET-03]. Approaches like design thinking, participatory design, and design justice answer this tension; participatory design brings in representatives from each stakeholder group, while design justice looks at how a design spreads benefits and burdens across overlapping identities [LET-03]. The chapter also introduces the core techniques—personas, prototyping, and end-user engagement—that run through the whole design cycle [LET-03].

The companion tools chapter casts the aim of human-centered design as understanding how people interact with one another and with the rest of a system, then bringing theory, principles, and data to bear in support of human well-being and the system's overall performance [LET-12]. It lays out a wide set of tools—stakeholder analyses, personas, scenarios, prototyping, and end-user testing—and recommends choosing the techniques that fit best rather than using them all, since none of them is mandatory [LET-12].

Further Reading

Source: wrgr/lecommons — curated by the learning engineering community. Confidence: medium — lecommons-curated; not yet independently expert-validated in this context. To validate or challenge any item: use the Edit button on this page. Upgrading confidence from medium → high requires expert sign-off.

Landmark Academic Papers

• Design principles for virtual humans in educational technology environments — Scotty D. Craig, Nicolaus L. Schroeder (2018). International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-017-0148-y · ~150 citations · tier: contemporary

  Synthesized human-factors engineering principles for designing pedagogical agents. Showed that voice, appearance, and persona of virtual instructors systematically affect learner cognitive load and perceived credibility — establishing that LE must integrate psychological design alongside algorithmic design. Source: lecommons/landscape/data/papers.json · ID: LE-LS-AP-009 · confidence: medium · expert-validated: false

• The voice quality of pedagogical agent impacts learning and agent perceptions — Ryan F. Siegle, Scotty D. Craig (2024). Journal of Computer Assisted Learning · doi:10.1111/jcal.12997 · ~20 citations · tier: contemporary

  Empirically demonstrated that voice quality (prosody, naturalness, warmth) of a pedagogical agent significantly affects both learning outcomes and learner perception. Illustrates the meticulous human factors engineering required in modern AI-driven learning systems. Source: lecommons/landscape/data/papers.json · ID: LE-LS-AP-010 · confidence: medium · expert-validated: false

Key People

• Scotty D. Craig (profile), Arizona State University (active 2000s–present) — Human factors researcher; virtual humans and pedagogical agents specialist

  Systematically investigated design principles for virtual humans and pedagogical agents in learning environments Source: lecommons/landscape/data/people.json · ID: LE-LS-PP-014 · confidence: medium · expert-validated: false

Organizations, Conferences & Journals

• International Journal of STEM Education (journal) · link

  Source: lecommons/landscape/data/organizations.json · ID: LE-LS-JO-007 · confidence: medium · expert-validated: false

Programs & Initiatives

• LENS @ JHU — Learning Engineering for Next-Generation Systems (PC) · link

  Concentration within JHU MEd in Learning Design & Technology. Targets practitioners in complex organizations: defense, healthcare, large-scale education. Grounded in human systems integration and learning engineering expertise. Capstone produces evidence dashboard, reproducible report, and governance/ethics plan. Unique JHU ecosystem: APL + Medicine + IEEE/ICICLE partnership. Source: lecommons/site/src/data/programs_people_registry.json · ID: LE-PP-001 · confidence: medium · expert-validated: false

• Learning Engineering Fellowship (CMU OLI) (PC) · link

  Nine-week intensive for educators and designers to apply learning science and data-informed methods to real educational products and contexts; part of OLI professional learning. Source: lecommons/site/src/data/programs_people_registry.json · ID: LE-PP-075 · confidence: medium · expert-validated: false

• ASU Learning Engineering Institute & Graduate Certificate (PC) · link

  Graduate certificate and research network fusing human systems engineering, design, and evidence to improve educational systems; connects students with Learning Engineering Research Network partners. Source: lecommons/site/src/data/programs_people_registry.json · ID: LE-PP-079 · confidence: medium · expert-validated: false

• Purdue School of Engineering Education (ENE) (PC) · link

  First-in-the-nation school of engineering education; graduate offerings include the online M.S. in Engineering Education, Ph.D. in engineering education research, and the stackable Teaching and Learning in Engineering graduate certificate—explicit “learning engineering” language appears in certificate and course titles. Source: lecommons/site/src/data/programs_people_registry.json · ID: LE-PP-089 · confidence: medium · expert-validated: false

• International Journal of STEM Education (CO) · link

  Discipline-based education research (DBER): problem-based learning, flipped classrooms, educational robotics, STEM learning outcomes at scale. Source: lecommons/site/src/data/programs_people_registry.json · ID: LE-PP-130 · confidence: medium · expert-validated: false

• Human Factors and Ergonomics Society (CO) · link

  Professional society for human factors and ergonomics. Publishes Human Factors journal and organizes the annual HFES conference. The Training Systems technical group directly addresses LE-relevant human factors in instructional systems. Source: lecommons/site/src/data/programs_people_registry.json · ID: LE-PP-133 · confidence: medium · expert-validated: false

Lecommons enrichment applied 2026-04-17. All items pending expert validation. See wrgr/lecommons for source data and curation methodology.