Web cookies (also called HTTP cookies, browser cookies, or simply cookies) are small pieces of data that websites store on your device (computer, phone, etc.) through your web browser. They are used to remember information about you and your interactions with the site.
Purpose of Cookies:
Session Management:
Keeping you logged in
Remembering items in a shopping cart
Saving language or theme preferences
Personalization:
Tailoring content or ads based on your previous activity
Tracking & Analytics:
Monitoring browsing behavior for analytics or marketing purposes
Types of Cookies:
Session Cookies:
Temporary; deleted when you close your browser
Used for things like keeping you logged in during a single session
Persistent Cookies:
Stored on your device until they expire or are manually deleted
Used for remembering login credentials, settings, etc.
First-Party Cookies:
Set by the website you're visiting directly
Third-Party Cookies:
Set by other domains (usually advertisers) embedded in the website
Commonly used for tracking across multiple sites
Authentication cookies are a special type of web cookie used to identify and verify a user after they log in to a website or web application.
What They Do:
Once you log in to a site, the server creates an authentication cookie and sends it to your browser. This cookie:
Proves to the website that you're logged in
Prevents you from having to log in again on every page you visit
Can persist across sessions if you select "Remember me"
What's Inside an Authentication Cookie?
Typically, it contains:
A unique session ID (not your actual password)
Optional metadata (e.g., expiration time, security flags)
Analytics cookies are cookies used to collect data about how visitors interact with a website. Their primary purpose is to help website owners understand and improve user experience by analyzing things like:
How users navigate the site
Which pages are most/least visited
How long users stay on each page
What device, browser, or location the user is from
What They Track:
Some examples of data analytics cookies may collect:
Page views and time spent on pages
Click paths (how users move from page to page)
Bounce rate (users who leave without interacting)
User demographics (location, language, device)
Referring websites (how users arrived at the site)
Here’s how you can disable cookies in common browsers:
1. Google Chrome
Open Chrome and click the three vertical dots in the top-right corner.
Go to Settings > Privacy and security > Cookies and other site data.
Choose your preferred option:
Block all cookies (not recommended, can break most websites).
Block third-party cookies (can block ads and tracking cookies).
2. Mozilla Firefox
Open Firefox and click the three horizontal lines in the top-right corner.
Go to Settings > Privacy & Security.
Under the Enhanced Tracking Protection section, choose Strict to block most cookies or Custom to manually choose which cookies to block.
3. Safari
Open Safari and click Safari in the top-left corner of the screen.
Go to Preferences > Privacy.
Check Block all cookies to stop all cookies, or select options to block third-party cookies.
4. Microsoft Edge
Open Edge and click the three horizontal dots in the top-right corner.
Go to Settings > Privacy, search, and services > Cookies and site permissions.
Select your cookie settings from there, including blocking all cookies or blocking third-party cookies.
5. On Mobile (iOS/Android)
For Safari on iOS: Go to Settings > Safari > Privacy & Security > Block All Cookies.
For Chrome on Android: Open the app, tap the three dots, go to Settings > Privacy and security > Cookies.
Be Aware:
Disabling cookies can make your online experience more difficult. Some websites may not load properly, or you may be logged out frequently. Also, certain features may not work as expected.
SEEKING NEW ENGLAND GRADE 3-4 CLASSROOM MATH TEACHERS
FOR COMPENSATED RESEARCH OPPORTUNITY
Our Project EAGLE (Eliciting Advanced Gifted Learning Evidence) team at the University of Connecticut is seeking Grade 3 and 4 classroom math teachers (preference given to classrooms with some English learners) from across New England to participate in our Javits* funded research project.
Join this exciting project to develop a dynamic assessment system to observe math talent in Grade 3 and 4 students!
If you are a Gr. 3 or 4 math teacher with English learners in your classroom, please consider joining us to:
Attend three one-day professional learning sessions at the University of Connecticut or a location near your school.
Reimbursement for your time, mileage, meals, and lodging (if needed) to attend a two-day professional learning session early in the academic year and mileage and meals for a one-day professional learning sessions later in the academic year.
Prep and teach five high-interest, one-hour math activity lessons based on Project M2, M3, and A3
Observe your students while they work on the math activities to determine if any of them are exhibiting behaviors on our Points of Promise Math Talent Behaviors Checklist.
Have your class observed by the Project EAGLE team for two to four of the lessons and participate in semi-structured interviews to share your feedback on the lessons and checklist.
Be compensated at your district hourly rate for the time beyond the school day that you spend on this project for professional learning (3 days for 24 hours); lesson preparation (two hours for each of five lessons); and participating in interviews (two to four semi-structured interviews of approximately 45 minutes each).
Questions? Please reach out to us at projecteagle@uconn.edu or Dr. Del Siegle at 860.486.0616.
*FUNDED BY JACOB K. JAVITS GIFTED AND TALENTED STUDENTS EDUCATION PROGRAM, U.S. DEPARTMENT OF EDUCATION PR/AWARD # S206A220040
Project EAGLE goals:
to develop a dynamic approach to equitably identify gifted ELs in the familiar context of classroom math instruction;
to build classroom teachers, gifted specialists, and EL teachers’ capacity for fostering and spotting gifted talent; and
to increase the number of ELs nominated for gifted services.
There is clear and mounting evidence that gifted education must address the serious challenges associated with the underidentification and underservicing of diverse populations of gifted students. For example, English learners (ELs)
are the fastest growing population of learners in the U.S., yet they are among the most underrepresented groups in gifted education. Each year, tens of thousands of talented young people are overlooked for gifted services simply because they learned a language other than English as a child. Their teachers focus on their limited English skills and fail to recognize the brilliant mind they possess. Project EAGLE addresses this issue by creating learning situations where students' math talent and potential can be recognized.
The EAGLE Research team is excited to welcome our 15 Project EAGLE Trainers to campus this July to train and collaborate together to deliver free Project EAGLE workshops in Arizona, Colorado, and Texas this fall! Interested in attending a workshop on spotting untapped talent? Fill out our interest form at s.uconn.edu/gtid and a trainer in […]
Renzulli Center Director Del Siegle (PI), along with D. Betsy McCoach (Co-PI) and Susan Dulong Langley, has received a $2.9 million Javits grant to improve identification of English learners (ELs) for gifted services. ELs are among the most underidentified of groups, while being the fastest growing population. The researchers note that static assessment measures (e.g., […]
A team of Neag School of Education researchers is developing a new initiative designed to help educators overcome language differences to identify gifted students among English learners. Project EAGLE (Eliciting Advanced Gifted Learning Evidence) is one of several gifted education grants at UConn, including the National Center for Research on Gifted Education (NCRGE), that address unrecognized […]
