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Daniel Rodriguez-Segura; Beth E. Schueler – Annenberg Institute for School Reform at Brown University, 2022
A significant share of education and development research uses data collected by workers called "enumerators." It is well-documented that "enumerator effects"--or inconsistent practices between the individual people who administer measurement tools-- can be a key source of error in survey data collection. However, it is less…
Descriptors: Data Collection, Educational Research, Research Problems, Elementary School Students
Gregory De La Piedra – Dimensions, 2025
Free listing tasks are a common data collection method used by cultural anthropologists, language historians and linguists (Nolan, 2002; Ryan et al., 2000; Weller & Romney, 1988; Wolfram & Schillings-Estes, 1998). These tasks are interviews in which a researcher asks groups of respondents to list words or expressions that come to mind for…
Descriptors: Foreign Countries, Adults, Data Collection, Anthropology
Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Center for IDEA Early Childhood Data Systems (DaSy), 2025
The purpose of this brief is to increase states' awareness of national data resources that can support states in sharing, linking, integrating, and using data on young children with disabilities to enhance the provision of early intervention (EI) and early childhood special education (ECSE) services. The audience for this brief includes states'…
Descriptors: Students with Disabilities, Young Children, Early Intervention, Data
Claire Abbott; Michael DeArmond; Dan Goldhaber; Hannah Putman – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2025
This report examines how states can use their Statewide Longitudinal Data Systems (SLDS) to better understand their teacher supply problems and assess initiatives designed to address them. It emphasizes two key actions: connecting existing data and collecting new data on the prospective workforce. Using research and real-world examples from four…
Descriptors: Teacher Supply and Demand, Data Use, Longitudinal Studies, Data Collection
Sarah Rich; Jerad Koepp – Journal of School Administration Research and Development, 2025
The prevalence of data use in education requires researchers to critically examine data-collection practices that could inform, obscure, or omit accurate representations of students. Thus, an innovative approach to accurate demographic collection and reporting can enable school districts to more accurately count and represent American…
Descriptors: Decolonization, Inclusion, American Indian Students, Alaska Natives
Collin Shepley; Anthony Setari; Amanda Leigh Duncan; Emily Webb – Assessment for Effective Intervention, 2025
Ongoing professional development is a critical component of high-quality early childhood education systems. To guide the content of such professional development, teacher and classroom quality assessments are often used. These assessments generally address universal or tier 1 instruction but omit information to guide teachers' practices to support…
Descriptors: Test Validity, Computer Assisted Testing, Teacher Evaluation, Performance Based Assessment
Øydis Hide; Dagrun Slettebø Daltveit; Åse Sivertsen; Anne Katherine Hvistendahl; Randi Lovise Kjerstad; Marit Berntsen Kvinnsland; Nina Helen Pedersen; Christina Sørensen – International Journal of Language & Communication Disorders, 2025
Background: Cleft lip and palate (CLP) treatment in Norway is centralized and multidisciplinary, with long-term follow-up from birth to adulthood. The Norwegian Registry of Cleft Lip and Palate was established to ensure high-quality care and enable systematic data collection. Speech data are a key component, assessed by speech--language therapists…
Descriptors: Foreign Countries, Validity, Reliability, Data Collection
Díaz, Victoria E.; McKeown, Stephanie; Peña, Camilo – British Columbia Council on Admissions and Transfer, 2023
This project reviews data collection practices regarding race, ethnicity and ancestry (REA) in post-secondary institutions (PSIs) in Canada, as well as in other relevant sectors (e.g., health, K-12 education, government agencies). The goal of the project was to identify promising practices and to develop recommendations to guide REA data…
Descriptors: Data Collection, Data Use, Student Characteristics, Race
Rouse, Sharon E.; Jones, Rose; Cleveland, Jonnie – Journal of the American Academy of Special Education Professionals, 2023
This study is on data-gathering software for special teachers in local education agencies Grades K-14. Increasing pressure for the use of accountability to follow the effectiveness of meeting educational standards has caused schools to reassess methods of using data and the core technologies surrounding its collection. The amount of data…
Descriptors: Computer Software, Computer Uses in Education, Data Collection, Educational Improvement
Kuo, Chen-li; Tsai, Tsai-Hsuan; Tung, Shen-Mei; Lin, Yueh-E – Augmentative and Alternative Communication, 2023
Augmentative and alternative communication (AAC) has been used by patients with acquired expressive communication disorders as an alternative to natural speech. The use of symbols to express pain, which is intangible, is challenging because designing a series of comprehensible symbols to represent personal experiences such as pain is not…
Descriptors: Augmentative and Alternative Communication, Pain, Chinese, Telecommunications
Liu, Yi; Xu, TianWei; Xiao, Mengjin – International Journal of Information and Communication Technology Education, 2023
In order to better grasp the needs of library users and provide them with more accurate knowledge services, combining the characteristics of university libraries, this article applies library small data to personalized recommendation and proposes a small data fusion algorithm model for library personalized recommendation. This model combines the…
Descriptors: Research Libraries, Data Collection, Data Analysis, Tables (Data)
Owan, Valentine J.; Obla, Moses E.; Asuquo, Michael E.; Owan, Mercy V.; Okenjom, Godian P.; Undie, Stephen B.; Ogar, Joseph O.; Udeh, Kelechi V. – Journal of Pedagogical Research, 2023
Previous research has extensively analysed teachers' and students' Facebook use for instructional engagement, writing, research dissemination and e-learning. However, Facebook as a data collection mechanism for research has scarcely been the subject of previous studies. The current study addressed these gaps by analysing students' awareness,…
Descriptors: Student Attitudes, Social Media, Student Research, Data Collection
Çakiroglu, Ünal; Kiliç, Servet – Interactive Learning Environments, 2023
Recent years have witnessed an increasing emphasis on integrating computational thinking into school curriculums. This study deals with suggesting a course model including data collection tools for evaluating teachers' pedagogical content knowledge in teaching computational thinking via teaching robot programming. Taking the advantages of virtual…
Descriptors: Teachers, Pedagogical Content Knowledge, Computation, Thinking Skills
Connors, Maia; Paschall, Katherine – Child Trends, 2023
Child Trends and Start Early have partnered to better understand what early childhood systems builders need to build and support more equitable systems. The briefs in this series, called Conversation Starters, define a new framework for early childhood systems that center families' experiences and raise key considerations and next steps for…
Descriptors: Young Children, Early Childhood Education, Family Involvement, Definitions

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