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Deeth Ellis; Keith Curry Lance – Grantee Submission, 2024
It has only recently become possible to assess librarian staffing at school level, due to the long interval between the two most recent datasets from NCES's periodic sample survey of schools. In 2023, the National Teacher and Principal Survey (NTPS) released long-awaited 2020-21 school-level data--the first from that survey since 2015-16. These…
Descriptors: School Libraries, Librarians, Public Schools, Employment Patterns
Amanda Harrison; Rene Burress – Knowledge Quest, 2024
Building relationships is a crucial part of being a school librarian. But the first relationship the authors states school librarians will want to build is within themselves as a professional. According to the author, knowing yourself and your core values can help when times get tough or if your first tries at a relationship are rebuffed.…
Descriptors: School Libraries, Media Specialists, Interpersonal Relationship, Stakeholders
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Michela Montesi; Belén Álvarez Bornstein; Pablo Parra Valero – Journal of Education for Library and Information Science, 2025
This research explores the acquisition of soft skills in a service learning project in the Complutense University of Madrid's library and information science undergraduate program. Reaching its fifth edition in 2021-22, the project aimed to integrate older persons into the social fabric of a residential enclave of Madrid known as "Parque…
Descriptors: Library Education, Information Science Education, Soft Skills, Skill Development
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Wilson Osafo Apeanti; Maud Odei-Addo – International Journal of Research in Education and Science, 2024
Understanding how demographic characteristics influence students' technology adaptation is crucial for effective online learning. This study explored the impact of these characteristics on distance education (DE) students' technology adaptation at a sub-Saharan African university. Using a descriptive survey design with a highreliability score…
Descriptors: Distance Education, Teacher Education Programs, Student Characteristics, Student Adjustment
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Kivanç Bozkus – European Journal of Education, 2025
This study aimed to employ machine learning techniques to uncover the pivotal determinants influencing the reading proficiency of fourth-grade students across 65 regions, as participants in the PIRLS 2021 assessment. The primary objective was to discern and assess key factors at the student, family and school levels that predict high and low…
Descriptors: Artificial Intelligence, Reading Skills, Grade 4, Elementary School Students