Institutions

The professional home of learning engineering — hosts the annual meeting, publishes the Body of Knowledge, and convenes SIGs and MIGs that do the ongoing working-group labor of the field.

ICICLE-affiliated people (11): Abby Bregman, Amy Parent, Baptiste Moreau-Pernet, DJ Jaeger, Eric Ultes, Jason Virtue, Jodi Lis, John Costa, Li (Lee) Liang, Rob Nyland, Zarka Ali.

Papers / grey literature from members (6): Designing for Transfer: Developing a Skill-Based Simulation Using Learning Engineering Design Frameworks; Engaging in Student-Centered Educational Data Science Through Learning Engineering; How Video Games Can Train You for a Job: Lessons from Learning Engineering Research and Duolingo’s Success (and 3 more).

International Community for IEEE Learning Engineering. Primary professional home for LE. Developing BoK, standards, credentialing. Resources page is a primary seed source for this corpus.

The most concentrated academic home of learning engineering in the US — CMU’s Simon Initiative, Open Learning Initiative (OLI), HCII, and METALS master’s program all intersect here.

Programs here (5): Human-Computer Interaction Institute — CMU, LearnLab & LearnLab professional programs (CMU / network), Learning Engineering Fellowship (CMU OLI), METALS / MS in Learning Engineering (Carnegie Mellon), Open Learning Initiative (OLI).

ICICLE-affiliated people (1): Erin Czerwinski.

Papers / grey literature from members (1): Learning Engineering Perspectives for Supporting Educational Systems.

Hosts the LENS (Learning Engineering for Next-Generation Systems) concentration within the MEd in Learning Design and Technology — a joint School of Education / APL program targeting high-consequence domains.

Programs here (2): JHU MEd in Learning Design and Technology; LENS @ JHU — Learning Engineering for Next-Generation Systems.

ICICLE-affiliated people (3): Adesola Ogundimu, James Diamond, William Gray-Roncal.

Houses the Learning Engineering Institute and a graduate certificate, both launched in 2023; ICICLE-affiliated people work here across Human Systems Engineering and Fulton Schools of Engineering.

Programs here (1): ASU Learning Engineering Institute & Graduate Certificate.

ICICLE-affiliated people (1): Mei-Mei Li.

Home to the LEAP (Learning Engineering and Practice) group and multiple ICICLE working-group contributors; a significant site for cross-disciplinary LE work.

Programs here (1): MIT Learning Engineering and Practice (LEAP) Group.

ICICLE-affiliated people (2): Aaron Kessler, Bedriye Akson.

Papers / grey literature from members (6): Exploring Learning Engineering Design Decision Tracking: Emergent Themes from Practitioners’ Work; LE Toolkit — Learning Engineering Applies the Learning Sciences (open access chapter); LE Toolkit — Learning Engineering is a Process (open access chapter) (and 3 more).

Faculty affiliates contribute to ICICLE working groups, particularly the pK-12 MIG.

ICICLE-affiliated people (1): John Ellis.

Papers / grey literature from members (3): Designing for Transfer: Developing a Skill-Based Simulation Using Learning Engineering Design Frameworks; Engaging in Student-Centered Educational Data Science Through Learning Engineering; Learning Engineering for Online Education.

The Luddy School’s Information and Learning Science programs are close neighbors to learning engineering practice.

Programs here (1): Indiana University Luddy — ISE & human-centered computing.

The School of Engineering Education (ENE) is a long-running engineering-education research home with substantial overlap with learning engineering.

Programs here (1): Purdue School of Engineering Education (ENE).

Stanford GSE offers the M.S. Learning Design and Technology, one of the older adjacent programs feeding into learning engineering practice.

Programs here (1): Stanford GSE — M.S. Learning Design and Technology (LDT).

Home to ICICLE-affiliated faculty working in higher-education LE.

ICICLE-affiliated people (1): Emily Marasco.

The Graduate School of Education hosts the Penn Center for Learning Analytics (Ryan Baker’s group) — a key node in the learning-analytics strand of the field.

Programs here (1): Penn Center for Learning Analytics (UPenn GSE).

Learning sciences and design work spans the College of Education, HCDE, and the iSchool; multiple adjacent programs.

Programs here (1): University of Washington — Learning sciences & design (CoE, HCDE, iSchool).

The Air Force’s dedicated center for applying learning engineering methods across military education and training programs.

Graduate certificate and research network fusing human systems engineering, design, and evidence to improve educational systems; connects students with Learning Engineering Research Network partners.

Home of Ken Koedinger and Cognitive Tutor / LearnLab. One of the premier academic homes for LE research globally. PhD and MS programs.

Large informatics and engineering school where Intelligent Systems Engineering, human-centered computing, and data-driven design converge—common feeder disciplines for learning engineering careers even where the phrase is not a standalone degree title.

Home of CSCL and ICLS conferences. Bridges learning science and design. Important for T01 foundation layer.

Master’s degree in Learning Design and Technology at JHU School of Education. Houses the Learning Engineering for Next-Generation Systems (LENS) concentration, which applies human systems integration and learning science to complex operational environments. The LDT program prepares graduates for careers in instructional design, learning engineering, and educational technology.

Premier peer-reviewed journal for learning sciences research. Publishes empirical and design-based research on how people learn in formal and informal settings. A key venue for the theoretical and methodological foundations that learning engineers draw on.

Directory of degree and training programs adjacent to LE, including learning sciences, edtech, HCI, and LE-focused pathways.

Google Doc directory of academic programs adjacent to or incorporating learning engineering, including LE-specific degrees, learning sciences programs, educational technology programs, and HCI programs.

Source URL: https://docs.google.com/document/d/1Rg36o2ZnqMhd_uYTEYij_A_x-tilUaGwhUFcysazQc4/edit?tab=t.xusx3nlm3dm7

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.

Funds multi-year cohorts building AI-driven, research-backed tools to improve outcomes in math (LEVI Math) and early literacy (LEVI Literacy), with rapid experimentation and rigorous evaluation. Not affiliated with the earlier iNACOL/Aurora convening sometimes also called LEVI.

LENS is an applied specialization that treats human capability development as a system-level engineering challenge in complex operational environments, where human performance and system performance are inseparable. Grounded in the learning sciences and human systems integration, LENS prepares practitioners to frame capability challenges in context, design and implement learning solutions centered on the people who operate within these systems, and produce decision-grade evidence that links learning outcomes to operational impact — across the full system lifecycle and in domains including healthcare, defense, and education.

Concentration within the JHU MEd in Learning Design & Technology. Unique JHU ecosystem: APL + School of Medicine + IEEE/ICICLE partnership. Capstone produces evidence dashboard, reproducible report, and governance/ethics plan.

Graduate program (long known as METALS) training learning engineers in design, learning science, analytics, and intelligent learning systems; capstone with external clients. Public materials may use MS in Learning Engineering naming.

Research group applying systems and design methods to STEM and workforce learning; emphasizes AI, simulation, XR, haptics, MOOCs, and curriculum at scale.

NSF- and Accenture-funded national institute headquartered at Georgia Tech, developing AI theories and systems for adult online learning, intelligent tutors, and workforce upskilling in partnership with universities and industry.

Research community studying how people make decisions in real-world, time-pressured, high-stakes environments. NDM methods (critical decision method, cognitive task analysis) are core techniques learning engineers use to elicit expert knowledge in complex domains.

GSE hub for learning analytics and AI in education research, including work that explicitly intersects learning engineering, educational data mining, and design of data-informed learning systems. Related graduate offerings include the online M.S. in Learning Analytics and Artificial Intelligence.

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.

International nonprofit dedicated to research, practice, and policy of learning analytics. Home of LAK conference and companion journal.

Residential master’s focused on designing and evaluating technology-enhanced learning environments using learning sciences, design methods, and empirical study—one of the clearest Stanford pathways aligned with learning engineering practice (even when the degree title says LDT, not LE).

Graduate hub in Learning Sciences & Human Development plus related units (e.g., Learning, Epistemology, and Design Lab in HCDE; learning sciences at the Information School) for research on learning, design, and technology in formal and informal settings—UW’s closest cluster to learning engineering even without a single LE degree name.