LEBOK Wiki
Prototype — not authoritative. A learning-engineering product under development, cloned from the lebok.wiki of record. Much content is AI-drafted and pending expert review.About & pedagogy →
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AI-synthesized — requires expert review

This page was synthesized on 2026-04-17 by an AI model from grounded lecommons corpus items. Every factual claim includes an inline <cite> citation to a specific source. The AI wrote the prose; it did not invent facts. Use the Edit button to validate, correct, or expand.

Sources: LE-LS-CO-001, LE-LS-CO-003, LE-LS-CE-001, LE-LS-CE-002, LE-LS-CE-003, LE-LS-CE-004, LE-LS-CE-005, LE-LS-CE-006, LE-LS-GL-007

11.3.2 Community Involvement and Networking

Community involvement is central to learning engineering professional development because the field is interdisciplinary, rapidly evolving, and fundamentally collaborative. No practitioner can stay current through individual study alone — community structures provide access to the research frontier, peer feedback, and the cross-domain collaborations that advance both careers and the field.

Annual Conferences

The core LE community convenes across a cluster of annual conferences, each emphasizing a different facet of the field:

  • IEEE ICICLE Annual Conference — the practitioner-focused home of LE, directly connected to the professional standards and competency framework development. [LE-LS-CO-001]
  • LAK (Learning Analytics and Knowledge) — emerging analytics methods, ethical deployment, dashboard design, algorithmic fairness. Organized by SoLAR. [LE-LS-CE-002]
  • EDM (Educational Data Mining) — computational and discovery-oriented analysis: knowledge tracing, behavior modeling, automated feature engineering. [LE-LS-CE-003]
  • AIED (AI in Education) — generative AI tutors, NLP for learning, deep knowledge tracing, human-AI interaction in education. [LE-LS-CE-004]
  • ITS (Intelligent Tutoring Systems) — cognitive models, student modeling, adaptive instruction, feedback algorithm design. [LE-LS-CE-001]
  • ISLS (International Society of the Learning Sciences) — design-based research, socio-cultural learning theory, collaborative learning. [LE-LS-CE-005]
  • Learning @ Scale — MOOCs, online education platforms, at-scale experimentation, A/B testing in learning contexts. [LE-LS-CE-006]

Professional Societies

The Society for Learning Analytics Research (SoLAR) sustains the LA community year-round through the Learning Analytics Summer Institute (LASI) and the Journal of Learning Analytics. [LE-LS-CO-003] IEEE ICICLE maintains working groups, mailing lists, and collaborative standards development that constitute an active professional network. [LE-LS-CO-001]

Community of Practice Model

The Learning Engineering Toolkit frames LE professional development as a community of practice problem — knowledge develops through shared practice, peer review, and joint problem-solving across institutions and disciplines. [LE-LS-GL-007] Practitioners who engage actively — presenting work, reviewing papers, contributing to standards — develop faster than those who observe passively.