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Learner-centered Librarianship

Reflection:

My very first course in Grad School was LIS 524 where we analyzed and discussed the evaluation procedures for a library collection. Originally I thought this course would go over proper ways to evaluate a book and offer recommendations to ensure all genres would be covered, peak students' interests, and help teachers with books to cover content. Although it did do this, it dove deeper into the importance of understanding the students, patrons, and community you serve. As a teacher, this process is at the forethought of every lesson I teach, but I hadn't quite made the connection of the librarian's role in this as well. 

When I begin my librarianship, I plan on utilizing staff and student surveys, while also considering the demographics and population around me. For example, I currently teach at a Title 1, bilingual and ALPHA campus. It's imperative that my collection include a wide arrange of books at multiple levels and languages (primarily Spanish). The following article is one I wrote during my LIS 524 class, addressing this goal and why. Spoiler alert: The "why" is always our students.

Community Analysis

I also want to include an assignment in the same course where I dove in and spoke of the important steps within the Selection Process. This houses tools and is a great reference for me to use later when establishing and searching for books in my collection.

Selection Process

Below is my evaluation of my current campus's library. I discovered many standards were put on hold with Covid guidelines, as well as the district/state's mandated requirements for the Science of Teaching Reading, but was able to collaborate with my current librarian to find creative ways to approach many areas. For example, Potty PD's (which are linked separately) was our way to offer Professional Development opportunities/encourage new websites to teachers creatively. 

Evaluation Report Dashboard

Lastly, the link below will offer more insight into creative ways we (my librarian and I) were able to collaboratively approach standards that fell below measures using Bright Bytes data collected annually.

Bright Bytes Data