T04
Measurement & Analytics
Learning analytics; educational data mining; psychometrics; competency assessment; performance measurement.
16 resources tagged with this topic
How to use this topic
Start with the resources below — they’re the practical methods, tools, and examples tagged to this area. Many can be adapted for resource-constrained and developing-country settings. When you need the underlying evidence and concept structure, switch the site lens to Researcher.
Concepts in this topic
Educational Data Mining Apply
Builds on: How People Learn: Cognitive Foundations
Learning Analytics Apply
Builds on: Educational Data Mining
Assessment & Measurement Design Apply
Builds on: How People Learn: Cognitive Foundations, The Learning Engineering Process
Resources
Reading List 10
Data-Informed Course Improvement: The Application of Learning Engineering in the Classroom
Higher-ed classroom case study. Fensie walks through a specific course intervention, what data moved, and what didn't — an honest practitioner paper at a major learning sciences venue.
Designing a Student Progress Panel for Formative Practice: A Learning Engineering Process
A compact case study of the LE process applied to a real adaptive-learning product (Acrobatiq). Worth reading back-to-back with Fensie's ICLS piece on Data-Informed Course Improvement.
A Brief Introduction to Evidence-Centered Design
Build a Learning Data Dream Team (Torrance, Lin, Goodell, 2024)
Practitioner article on staffing and collaboration patterns for data-informed learning improvement teams.
Student-Centered Educational Data Science Through Learning Engineering (Van Campenhout et al., 2023)
Research article demonstrating how student-centered data science and iterative LE design can reinforce one another in applied settings.
Learning Analytics in Education
Edited volume on learning analytics methods and applications, frequently cited in LE discussions around evidence and measurement.
Learning Engineering for Online Education: Theoretical Contexts and Design-Based Examples
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.)
Learning Factors Analysis — A General Method for Cognitive Model Comparison on PSLC DataShop Data
Practice 2
Learning Engineering Evidence Decision Tracker
Template set for documenting design decisions with their supporting evidence across iterations, improving transparency and reproducibility.
Data Use Across the Learning Engineering Process
Graphic and guidance showing how formative, summative, behavioral, and survey data are used across LE phases.
Tools 3
Caliper Analytics
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.
Yet Analytics — Learning Engineering Tools
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.
Events 1
Leveraging AI and Learning Engineering in Large-Scale Learning Sciences — Danielle McNamara
McNamara's case for AI-enabled learning engineering at scale — grounded in her two decades of NLP-and-learning-sciences work. Argues that the most promising AI applications in LE aren't content generation but formative measurement and adaptive scaffolding. Technical but accessible.