Learning Engineering Commons
Learning engineering is scattered across conferences, standards bodies, and grey literature. This is where it's linked together — topic by topic, claim by claim.
Why this exists
A conference talk. A standards committee. A blog post. The vocabulary doesn't converge. A claim made in one venue rarely gets traced back to its evidence, and the evidence rarely links forward to where it's actually used.
Seed papers. Expansion literature pulled from the wider citation graph. And the non-paper resources — programs, people, conferences, tools, organizations — that make the claim operational, not just cited.
Corpus filters, cross-seed scoring, and human review keep the noise out. What's here is meant to hold up when someone checks it.
No claim without a source. No resource without a link back to where it came from. When ICICLE and this site differ on a definition, ICICLE wins.
Tracked across the field — practitioners, degree programs, standards bodies, and the organizations that convene them.
Papers, tools, talks, and frameworks spanning practice, the reading list, events, and tools — plus the community roster.
From foundational learning science through practice methods to the high-consequence domains the field operates in.
Four ways into the same evidence base.
Process diagrams, frameworks, and templates learning engineers actually use.
The platforms and interoperability specs the field builds on — xAPI, Caliper, DataShop, and more.
Institutions, programs, conferences, and the people doing the work — including the IEEE ICICLE network.
Browse by topic or search across the whole corpus. Developed in collaboration with IEEE ICICLE by LENS faculty at Johns Hopkins.
Learn about IEEE ICICLE, the field's professional home · Explore LEBoK, the field's curricular structure