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attempts at using tech effectively in education | archived blog of work by Robert D. Wachtel Pronovost, PhD — 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
satswana.app ↗	65 match 1 shared topics	Data Protection Services specialising in Education	en	education-industry	robotsllmsaihumans	emailphone	none
3eeducation.org ↗	65 match 1 shared topics	3E Education \| Keith Smyth blogging on education, learning, technology, inclusion	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
jaredpyles.com ↗	65 match 1 shared topics	Jared Pyles – Discussing technology's place in higher education	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
mcelleaders.org ↗	65 match 1 shared topics	Men of Color in Education Leadership \| MCEL	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
slaihee.org ↗	64 match 1 shared topics	SLAIHEE – Sri Lanka Association for Improving Higher Education Effectiveness	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
skydive-michigan.com ↗	64 match 1 shared topics	ATHEN \| Access Technology Higher Education Network	en	education-industry Drupal	robotsllmsaihumans	emailphone	none
cue.org ↗	64 match 1 shared topics	Leading Innovation in Education - CALIE	en	education-industry WordPress	robotsllmsaihumans	email phone	partial · 8
mariosstylianou.com ↗	64 match 1 shared topics	MariosStylianou.com - Education.com.cy - The blog of Education in Cyprus	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
aacsb.edu ↗	64 match 1 shared topics	Global Business Education Network \| AACSB	en	education-industry	robotsllmsaihumans	emailphone	none
agracomputershome.com ↗	64 match 1 shared topics	Home Four - Education HTML Template Using Bootstrap 5	en	education-industry	robotsllmsaihumans	emailphone	none
saudiedtech.org ↗	64 match 1 shared topics	- Saudi Association of Educational Technology	en	education-industry WordPress	robots llmsaihumans	emailphone	none
discoversocialsciences.com ↗	64 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
3eedu.com ↗	64 match 1 shared topics	Education Workplace Insights	en	education-industry	robotsllmsaihumans	emailphone	partial · 8
marquismason.com ↗	64 match 1 shared topics	Dr. Marquis Mason, PhD — Education Consulting & Strategy	en	education-industry	robotsllmsaihumans	emailphone	none
designandtechnologyeducation.com ↗	64 match 1 shared topics	Design and Technology Education	en	education-industry Wix	robots llmsaihumans	emailphone	none
scaleineducation.com ↗	64 match 1 shared topics	Home - Scale In Education	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mbrt.org ↗	64 match 1 shared topics	Maryland Business Roundtable for Education \| Workforce & Education Partnership	en	education-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
ourttm.com ↗	64 match 1 shared topics	TREE TRACKING OF E-SMART EDUCATION SYSTEM	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.