Learning Analytics in Education
Edited volume on learning analytics methods and applications, frequently cited in LE discussions around evidence and measurement.
LMS; xAPI/Tin Can; data interoperability; learning record stores; open standards; platform architecture.
11 resources tagged with this topic
Builds on: Competency Frameworks & Learning Objectives
Builds on: Adaptive Learning Systems, Learning Infrastructure & Data Standards
Edited volume on learning analytics methods and applications, frequently cited in LE discussions around evidence and measurement.
An early anchor text for the field's online-learning strand, connecting theory to design-based case studies. (Frequently cataloged in 2018/2019 depending on edition metadata.)
MIT policy report arguing that online education should catalyze structural reform in higher ed — an early institutional signal that learning needs engineering-style discipline, not just more technology.
Pandemic-era compilation from MIT Open Learning distilling what the learning sciences say about effective remote instruction. Practical, evidence-based, and widely shared during the 2020 pivot.
Caliper is xAPI's closest sibling — a learning-analytics interop standard from 1EdTech. If you're picking an LMS analytics stack, you'll encounter both.
UCF's open toolkit for preparing faculty to teach online — widely referenced as a pragmatic, institutionally-scaled resource. ICICLE points to it from their resources page; it's one of the few real-world implementations of LE-style staff development at scale.
The de facto standard for learning-event instrumentation. Every LE platform conversation eventually comes back to xAPI. Runs through the IEEE LTSC, where much of ICICLE's standards work also happens.
Commercial learning-engineering platform spanning xAPI data design, instrumentation, and evaluation. One of the few vendors building tools explicitly for the LE workflow rather than generic ed-tech analytics.
The Invitation to Learning Engineering held on March 26th, 2025, explored the application of learning engineering across post-secondary contexts. This session highlighted use cases from ICICLE Higher Ed Market Interest Group members, Marilu Lam-Herrera from CPA Western School of Business and Lauren Totino and Aaron Kessler from MIT.
MIT-wide initiative bridging learning science research and practice. Funds cross-disciplinary work on how people learn and publishes actionable guidance — a key academic node in the LE ecosystem.