Learning engineering involves complex projects that require careful planning, resource allocation, and management of both technical and human resources.
This knowledge area covers operational considerations in learning engineering. It highlights key differences between learning engineering and traditional instructional design processes, covering topics such as project planning, scaling of learning solutions, budgeting, timelines, and multidisciplinary team engagement throughout the project lifecycle. Effective operations and project management ensure that learning engineering projects are delivered efficiently, achieve desired learning outcomes, and are adaptable to changes and feedback throughout the process.
¶ Subsections:
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10.6 Agile Iterations of Creation, Implementation, and Investigation
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10.7 Considerations for Project Success in Learning Engineering
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10.8 Project Management Body of Knowledge
From the Learning Engineering Toolkit
The Learning Engineering Toolkit does not present operations and project management as a stand-alone PMBOK-style discipline. Instead, it frames the work through two lenses: teaming and implementation. Its starting premise is that this kind of work depends on a team, because it is highly unusual for any one person to hold every capability required to take on learning engineering challenges, which span engineering processes, learning sciences, software engineering, data science, instructional design, artificial intelligence, pedagogy, user experience design, and product testing [LET-10]. Project management is itself named as one of the domains that typically contribute to a learning engineering team, alongside assessment and evaluation, data science, instructional design, learning environment engineering, learning sciences, software engineering, and subject-matter expertise [LET-10].
Because different challenges and phases demand different mixes of talent, the Toolkit recommends treating team formation (or re-formation) as a step between each phase of the learning engineering process, noting that the implementation phase requires a different team composition than the creation phase [LET-10]. Larger efforts that design complex platforms or solutions may call for a project manager to coordinate among the various specialists and set the overall direction of the work [LET-10]. Teams themselves develop over time, moving through Tuckman's forming, storming, norming, and performing stages, with leadership becoming more shared as the team matures [LET-10].
Operationally, the Toolkit treats implementation as a distinct phase in which a finished solution is released into real-world settings with their own environmental contexts [LET-16]. Its implementation checklist organizes the operational work into domains including policies and strategy, budget, material resources, leadership and organizational capacity, team, technology, operationalization, instrumentation, investigation during implementation, ethics, and scale-up and sustainability [LET-16]. Crucially, the book stresses that how well any learning engineering solution performs hinges on the people and the organization where it is put into use, underscoring why operations in learning engineering are as much about teams and ongoing support as about plans and budgets [LET-16].
Sources from the Learning Engineering Toolkit
- [LET-10]Dina Kurzweil & Erin S. Barry (2023). Chapter 10: Tools for Teaming. In Jim Goodell & Janet Kolodner, Learning Engineering Toolkit (pp. 255–267). Routledge / Taylor & Francis. doi:10.4324/9781003276579
- [LET-16]Jodi Lis, Jessie Chuang & Jordan Richard Schoenherr (2023). Chapter 16: Implementation Tools. In Jim Goodell & Janet Kolodner, Learning Engineering Toolkit (pp. 347–359). Routledge / Taylor & Francis. doi:10.4324/9781003276579
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 frommedium→highrequires expert sign-off.
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
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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
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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
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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
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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
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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
Lecommons enrichment applied 2026-04-17. All items pending expert validation. See wrgr/lecommons for source data and curation methodology.