Technology Evaluation Rubric
My Role: Lead Designer (Team lead & content development)
Artifact Description
This artifact highlights my approach to identifying and evaluating instructional technology for use in specific settings and learner contexts. The rubric offers a clear, structured framework for assessing digital tools that support learning. It presents concise, easy-to-scan categories to help SMEs and designers compare tools objectively.
The clean layout, consistent typography, and clear headings reduce cognitive load and make the rubric easy to use. Suitable across disciplines and settings, it supports informed decisions and helps learners select tools aligned with their project goals.
Artifact
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Case Study Fast Facts
- Project Goals– Create a clear, practical technology‑evaluation rubric that helps SMEs and designers systematically assess digital tools based on pedagogical alignment, usability, accessibility, and organizational fit
- Target Audience– Designers, educators, and workplace professionals who need a structured method for evaluating digital tools for learning, training, or workflow support across contexts
- Problem Statement– Technology can compete with or impede the learning process. Without a structured rubric, technology selection can be disconnected from instructional goals or accessibility requirements.
- Challenges Overcome– Required translating broad criteria into clear, measurable indicators that were flexible enough to apply across diverse tools and contexts without becoming overly complex
- Instructional Design Process– Identified the essential dimensions of evaluation, drafted indicators, and iteratively refined the rubric through analysis, prototyping, and alignment checks using backward‑design and criteria‑development approaches that emphasized clarity, consistency, and learner usability
- Design Solution- Artifact is a structured, multi‑criteria rubric that helps users assess a tool’s purpose, functionality, accessibility, usability, and instructional alignment, supporting both formative activities and real‑world decision‑making
- Tools and Approach– Developed using generative AI for early ideation, criteria drafting, and refinement with applied principles of UDL, accessibility standards, and evaluation methodology
- Evaluation and Impact– Peer and learner feedback indicated that the rubric increased confidence in evaluating tools, improved consistency in decision‑making, and clarified what “effective” technology looks like. Users reported that the structured criteria helped them justify choices and identify gaps in tool suitability.
- Reflection– Project reinforced the importance of transparent evaluation criteria and the value of scaffolded decision‑making. Future iterations may incorporate scoring or scenario‑based examples to support more advanced evaluators.
- Conclusion– The rubric provides a scalable, repeatable method for evaluating digital tools and demonstrates how thoughtful design documentation supports clarity, equity, and instructional alignment. It showcases my ability to translate theory into practical frameworks that strengthen learners’ analytical and decision‑making skills.
Laux Portfolio 