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4.1 Systems Thinking

Source:lebok.wiki/en/knowledge-area-4-engineering-foundations/4-1-systems-thinking
Retrieved:2026-04-17
Confidence:HIGH

This topic covers Systems Thinking – “an approach to problem-solving that considers the entire system as a cohesive unit, focusing on the interactions among the parts rather than on the individual elements alone[1].”

Systems thinking is a foundational approach in engineering that involves understanding complex entities as interconnected systems of parts and processes. In learning engineering, systems thinking allows for holistic design, recognizing how different components of a learning environment—such as learning experience design, learning resources, technology delivery systems, learning environments, instructors and instructional contexts, and social and motivational factors—interact and influence learner outcomes. Systems thinking in learning engineering includes:

  1. H. Washizaki, eds., Guide to the Software Engineering Body of Knowledge (SWEBOK Guide), Version 4.0, IEEE Computer Society, 2024; www.swebok.org.

Subsections:

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

Programs & Initiatives

  • 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

  • INCOSE Systems Engineering Body of Knowledge (SEBoK) (CO) · link

    Open wiki-based body of knowledge for systems engineering. Includes the Human Systems Integration knowledge area. The SE process framework (requirements, architecture, integration, verification) is the engineering process backbone that LE adapts for learning system development. Source: lecommons/site/src/data/programs_people_registry.json · ID: LE-PP-134 · 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.

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4.1.1 A Systemic Analysis of Learning as a System of Systems→