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Jan L. Plass Professor of Digital Media and Learning Sciences — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Education Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
jeffreybradbury.com ↗	68 match 1 shared topics	Jeffrey D. Bradbury: Your Digital Learning Coach	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
ciddl.org ↗	68 match 1 shared topics	CIDDL - Center for Innovation, Design, and Digital Learning	en	education-industry WordPress	robots llmsaihumans	emailphone	none
melissaduffbrown.com ↗	68 match 1 shared topics	Melissa Duff Brown\|Entrepreneurship/Technology Educatior and Digital Media Professional	en	education-industry	robotsllmsaihumans	emailphone	none
jacquelinebaxter.net ↗	67 match 1 shared topics	Professor Jacqueline Baxter EDd MA PGCE PFHEA CMBE Fellow of the Academy of Social Sciences – Professor of Public Leadership and Management: expert in online teaching and learning	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
cvsankars.org ↗	67 match 1 shared topics	CVSankars Designs Limited – High-Quality Digital Learning for Complex Challenges	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
4learning.com ↗	66 match 1 shared topics	4 Learning	en	education-industry Squarespace Magento	robotsllmsaihumans	emailphone	none
mediaengage.net ↗	66 match 1 shared topics	Home Page - MediaEngage - Learning Dynamics and Consultancy	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
jentuttleparsons.com ↗	66 match 1 shared topics	jentuttleparsons \| Expert in inclusive STEM and LGBTQ+ education, leveraging technology and research for equitable learning experiences.	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
schoolpartnersconsulting.com ↗	66 match 1 shared topics	School Partners Consulting - Coaching and Learning for Educators	en	education-industry Squarespace	robotsllmsaihumans	emailphone	none
culture-insight.com ↗	66 match 1 shared topics	Exploring culture and professional learning – Examining how perceptions of culture influence teachers professional learning capacity	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
ahmeddreamcorporation.com ↗	66 match 1 shared topics	AAIT-Tech - Academic and Digital Solutions	en	education-industry	robotsllmsaihumans	emailphone	none
deshgateway.com ↗	66 match 1 shared topics	AAIT-Tech - Academic and Digital Solutions	en	education-industry	robotsllmsaihumans	emailphone	none
discoversocialsciences.com ↗	66 match 1 shared topics	Discover Social Sciences by Krzysztof Wasniewski - Research and education in social sciences; business planning process in real time	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adamf.net ↗	66 match 1 shared topics	Adam Finkelstein - learning environments - higher education - adamf.net	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
3karatproductions.com ↗	66 match 1 shared topics	Renee Hensley \| 3Karats — Modern Learning Strategist	en	education-industry	robotsllmsaihumans	emailphone	none
jamigiga.com ↗	66 match 1 shared topics	JAMIGIGA – Education and Learning	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
scalerux.com ↗	66 match 1 shared topics	UX & Content Strategy for Circular, Inclusive Learning Platforms \| Scaler UX	en	education-industry	robots llmsaihumans	emailphone	none
thetechreadyteacher.com ↗	66 match 1 shared topics	The Tech-Ready Teacher Digital Conference \| Free Access for Educators	en	education-industry	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.