T03
Learning Engineering Process
LE as iterative, evidence-based design process. Rapid prototyping; formative evaluation; A/B testing in learning contexts.
31 resources tagged with this topic
Concepts in this topic
Learning Engineering Teams & Roles Apply
Builds on: What is Learning Engineering?
Human-Centered Design Apply
Builds on: Human Systems Integration
The Learning Engineering Process Apply
Builds on: What is Learning Engineering?, Human-Centered Design
Needs Analysis & Task Analysis Apply
Builds on: The Learning Engineering Process
Tracking Decisions & Evidence Throughout the Process Apply
Builds on: The Learning Engineering Process
Knowledge-Learning-Instruction (KLI) Framework Understand
Builds on: How People Learn: Cognitive Foundations
Resources
Reading List 17
Better Faster Learning
Long-form feature on learning engineering for a broad audience, profiling CMU/ICICLE-aligned work and the case for evidence-based instructional improvement at scale.
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.
Design-Based Research: An Emerging Paradigm for Educational Inquiry
Design Experiments in Educational Research
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.
Generalizable Learning Engineering Adoption Maturity Model
I/ITSEC 2024 Paper No. 24154 proposes a maturity model to assess how fully an organization has adopted learning engineering practice.
Learning Engineering Perspectives for Educational Systems (Craig et al., 2023)
Article on how learning engineering can shape educational systems at scale through changes to policy, infrastructure, and practice.
Teaming Up to Improve Medical and Healthcare Education (Kurzweil & Marcellas, 2020)
Case study showing how LE team practices are applied in medical and healthcare education, where performance stakes are high.
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 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.)
Why Did We Do That? A Systematic Approach to Tracking Decisions in the Design and Iteration of Learning Experiences
Totino and Kessler's practical protocol for decision tracking across LE projects. Pairs well with our Field Note on Five Whys — this paper operationalizes the evidence-decision-tracker discipline ICICLE publishes.
Practice 10
Generalizable Learning Engineering Adoption Maturity Model
I/ITSEC 2024 Paper No. 24154 introduces a generalizable learning engineering adoption maturity model for organizations and enterprises.
Five Whys Root-Cause Analysis Template
Template for applying the Five Whys method to identify root causes of learning performance gaps during needs analysis and problem framing.
Fishbone Cause-and-Effect Analysis Template
Ishikawa fishbone template for mapping contributing factors to learning problems in the discovery and diagnosis stages of learning engineering.
Performance Task Analysis Template
Structured task-analysis template that decomposes complex performance into observable subtasks to inform instructional and assessment design.
Learning Engineering Evidence Decision Tracker
Template set for documenting design decisions with their supporting evidence across iterations, improving transparency and reproducibility.
Learning Engineering Implementation Checklist
Project checklist covering end-to-end implementation steps from problem framing through evaluation and dissemination.
Learning Engineering Team Roles and Expertise Guide
Role map for multidisciplinary LE teams, outlining typical contributions from learning science, data, design, engineering, and domain experts.
Learning Design Principles Toolkit (McEldoon)
Toolkit connecting cognitive science principles to practical learning design moves, with examples for day-to-day LE workflow decisions.
Data Use Across the Learning Engineering Process
Graphic and guidance showing how formative, summative, behavioral, and survey data are used across LE phases.
Learning Engineering Is a Team Sport (ICICLE, 2024)
Presentation on building effective multidisciplinary LE teams and clarifying contributions across roles throughout a project lifecycle.
Events 3
QIP Learning Engineering Video Series
Curated video series featuring LE practitioners and researchers discussing field foundations, implementation cases, and lessons learned.
Silver Lining for Learning: Human-Centered Methods in Learning Engineering
Podcast episode focused on applying human-centered design methods within the LE process and team workflow.
Silver Lining for Learning — Applying Human-Centered Engineering Methods to Learning
Kolodner, Goodell, and Schatz on where human-centered design methods actually fit inside the LE process — which ones matter, which get applied lazily, and where the practitioner discipline still has gaps.