What the LXD Evidence Assistant does

The LXD Evidence Assistant is a two-step AI research assistant built for learning experience designers and instructional designers. First it finds and reviews the research; then it turns that research into a design. It takes a plain description of your learning design task and returns a synthesis of relevant academic research, plus a concrete instructional/training progression, assessment strategy, and measurement plan grounded in that research.

Where the evidence comes from

We search five free, publicly documented academic databases, and report honestly on each:

• OpenAlex — broad, current coverage of scholarly works
• CrossRef — the official registry of DOIs (permanent paper links) and publisher details
• ERIC— the U.S. Department of Education's education-research index
• Semantic Scholar — AI-enriched paper search, via a registered API key
• arXiv — preprints on AI and learning

We deliberately do not scrape Google Scholar — it offers no public API, and scraping it violates its terms of service.

Semantic Scholar results are used under the Semantic Scholar Open Data Platform's terms, which require attribution: this app credits Semantic Scholar, an open research-data platform built by the Allen Institute for AI.

Disclaimers

• AI may produce inaccurate, incomplete, or outdated information. Always verify citations against the original source before relying on them.
• Not every paper has a DOI. Papers without one are labeled “No DOI” rather than presented as validated.
• This tool is not a substitute for professional instructional design judgment, subject matter expertise, or peer review.