Process, methods & frameworks

Graphic and guidance showing how formative, summative, behavioral, and survey data are used across LE phases.

Infographic and supporting documentation mapping how different types of data — formative, summative, behavioral, survey — are collected and used at each stage of the LE process.

Source URL: https://drive.google.com/file/d/1PVw-xsbxNwqx5bq3HTrtcjkrlPQ_H0w9/view?usp=drive_link

ICICLE-curated reference listing the roles and expertise that typically compose a learning engineering team — useful for staffing plans and hiring rubrics.

Presentation on building effective multidisciplinary LE teams and clarifying contributions across roles throughout a project lifecycle.

ICICLE presentation emphasizing the collaborative, multidisciplinary nature of learning engineering teams. Addresses how different domain experts contribute to LE projects and how to build effective teams.

Source URL: https://drive.google.com/file/d/1xBo8tF8eccEmOaEZWg3ts2KUA14Edyyu/view

Role map for multidisciplinary LE teams, outlining typical contributions from learning science, data, design, engineering, and domain experts.

Google Doc describing the multidisciplinary roles typically needed on a learning engineering team: learning scientists, data analysts, instructional designers, engineers, subject matter experts.

Source URL: https://docs.google.com/document/d/1TR0OdxNbcAdMpZB_jyOHFYvRoTB7Jh55q5q8A8HGiFY/edit

Published in Campus Technology Q&A. By Q&A with Ellen Wagner by Mary Grush.

Ishikawa fishbone template for mapping contributing factors to learning problems in the discovery and diagnosis stages of learning engineering.

Google Doc template for Ishikawa (fishbone) cause-and-effect diagrams in learning contexts. Used during LE problem framing and needs analysis to map contributing factors to learning gaps.

Source URL: https://docs.google.com/document/d/1D3u4mH46W94wYyXht1FDfZ4XrfIqmTLm3Vwn1nT7VWE/edit?tab=t.0#heading=h.u445depieqex

Template for applying the Five Whys method to identify root causes of learning performance gaps during needs analysis and problem framing.

Google Doc template for applying the Five Whys technique to identify root causes of learning performance gaps. Designed for the LE needs-analysis phase.

Source URL: https://docs.google.com/document/d/1SrcGr_h6u6hx9nhWIO82xPnvSKflgAP0pmTRVfXIoJs/edit?tab=t.0#heading=h.u445depieqex

Project checklist covering end-to-end implementation steps from problem framing through evaluation and dissemination.

Google Doc checklist for practitioners implementing a learning engineering project. Covers project phases from needs analysis through evaluation and dissemination.

Source URL: https://docs.google.com/document/d/1nXPlJsu9Jo0ox8pRXS0RVVo7fAZXVHxuLdC8gi4eFEs/edit?tab=t.0

Structured task-analysis template that decomposes complex performance into observable subtasks to inform instructional and assessment design.

Google Doc template for structured task decomposition in learning engineering. Guides practitioners through breaking complex performance into observable subtasks to inform instructional design.

Source URL: https://docs.google.com/document/d/1Nhgfved1gjBCoth44J5a7W3OWZy_Sx3i1qcB16qcH2Y/edit?usp=sharing

Toolkit connecting cognitive science principles to practical learning design moves, with examples for day-to-day LE workflow decisions.

Google Drive toolkit by Katherine McEldoon connecting cognitive science principles to practical learning design decisions. Bridges learning science theory and LE design practice.

Source URL: https://drive.google.com/drive/u/1/folders/1GIo0a_3INuh8jaJbwD3cQqqwIMfPwqU7

Template set for documenting design decisions with their supporting evidence across iterations, improving transparency and reproducibility.

Google Drive folder with templates for tracking design decisions alongside the evidence that motivated them throughout the LE process. Supports reproducible, evidence-based practice.

Source URL: https://drive.google.com/drive/folders/1NsmMCWm7QfWAS_HbXf_jNCIcXUgjYE_h