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makingthinkinglearning – Thinking and doing in the school library and in the world. — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
stfrancis-library.org ↗	70 match 1 shared topics	ST. FRANCIS SCHOOL LIBRARY - Home	en	education Weebly	robotsllmsaihumans	emailphone	none
asla.org.au ↗	69 match 1 shared topics	ASLA - Australian School Library Association	Australia en	education phpBB	robotsllmsaihumans	emailphone	none
ggreher.com ↗	68 match 1 shared topics	Gena Greher@UMass Lowell \| Music Making and Creating at the Core of Teaching and Learning	en	education WordPress	robotsllmsaihumans	emailphone	none
mceachernlibrary.com ↗	68 match 1 shared topics	MCEACHERN LIBRARY LEARNING COMMONS - Home	en	education Weebly	robotsllmsaihumans	emailphone	none
allmishnahjr.org ↗	68 match 1 shared topics	All Mishnah Jr - Revolutionizing Mishnah learning in middle schools across the country!	en	education WordPress	robotsllmsaihumans	emailphone	none
wheatleywildcat.org ↗	68 match 1 shared topics	The Wildcat – The Wheatley School Newspaper	en	education WordPress	robotsllmsaihumans	emailphone	none
whatyoulearnedinschool.com ↗	68 match 1 shared topics	What Did You Really Learn in School? – Anecdotes and lessons about teaching and learning	en	education WordPress	robotsllmsaihumans	emailphone	none
kierachase.com ↗	68 match 1 shared topics	Kiera Brodsky Chase – to all things learning and teaching	en	education WordPress	robotsllmsaihumans	emailphone	none
mchslibrary.org ↗	67 match 1 shared topics	Mira Costa High School Library - Home	en	education Weebly	robotsllmsaihumans	emailphone	none
kendrasales.com ↗	67 match 1 shared topics	Lifting Fog Learning – School Support Services	en	education WordPress	robotsllmsaihumans	emailphone	none
theaccesspointhau.com ↗	67 match 1 shared topics	The Access Point – The Official Student Publication of the School of Computing	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
whydowestudy.com ↗	67 match 1 shared topics	Why Do We Study - Connecting School Subjects To The Real World	en	education WordPress	robotsllmsaihumans	emailphone	none
acrossthedivide.blog ↗	67 match 1 shared topics	Across The Divide: A Dialogue – "Nothing in the universe grows and develops alone. We learn together." – Jane Vella	en	education WordPress	robotsllmsaihumans	emailphone	none
statsthinking21.org ↗	67 match 1 shared topics	Statistical Thinking for the 21st Century \| statsthinking21	en	education	robotsllmsaihumans	emailphone	none
keylibraries.com ↗	67 match 1 shared topics	Knowledge Empowering Youth - Kenya School Libraries	en	education WordPress	robotsllmsaihumans	emailphone	none
ssec-inc.org ↗	67 match 1 shared topics	Social Science Education Consortium – Promoting skillful social science teaching and learning in the schools.	United States~ en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
7hillsthehive.org ↗	67 match 1 shared topics	The Hive – The Student News Site of The Seven Hills School	en	education WordPress	robotsllmsaihumans	emailphone	none
stattlc.com ↗	67 match 1 shared topics	StatTLC – Statistics Teaching and Learning Corner	en	education WordPress	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.