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Yildiz, Ali – Online Submission, 2020
The purpose of the study is to discuss accurate and effective data collection for qualitative studies. The analysis of the written documents for the study was carried out via the descriptive analysis approach. Many documents reviewed, checked for authenticity, arranged, and organized by field experts can be a source of data, and using these…
Descriptors: Data Collection, Qualitative Research, Accuracy, Documentation
Education Commission of the States, 2020
Following a high-quality early care and pre-K experience, the kindergarten-through-third-grade years set the foundation upon which future learning builds; and strengthening this continuum creates opportunities for later success. Key components of a quality experience in K-3 include school readiness and transitions, kindergarten requirements,…
Descriptors: State Policy, Educational Policy, Primary Education, Data Use
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Cate, Leandra; Wetzstein, Lia; Kovacich, Katie – Community College Research Initiatives, 2023
One of the key commitments of the Community College Research Initiatives (CCRI's) STEM Transfer Partnership (STP) program is to transform STEM transfer pathways and improve outcomes for students from low-income backgrounds using student input. Student input is an essential element in institutional transformation for student success but the process…
Descriptors: STEM Education, Student Attitudes, Educational Change, Data Collection
Education Trust-West, 2023
As California invests in early learning and care, the state is also moving forward with a long-overdue plan to build a statewide longitudinal data system (SLDS) -- known as the Cradle-to-Career (C2C) Data System -- which will eventually connect data over time and across sectors like education, health, human services, and the workforce. This is a…
Descriptors: Early Childhood Education, Child Care, Young Children, Access to Education
Chang, Hedy N. – Attendance Works, 2023
This brief is the third annual examination of how state attendance policies and practices have evolved since the onset of the COVID-19 pandemic. States can play an essential guiding role in the collection, use and public availability of attendance and chronic absence data. While reporting chronic absence on state report cards is required by the…
Descriptors: Attendance, State Policy, Educational Policy, Data Collection
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Meholick, Sarah; Honey, Rose; LaTurner, Jason – National Center for Education Statistics, 2023
Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…
Descriptors: Longitudinal Studies, State Programs, State Policy, Data Collection
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Thelk, Amy D.; McGraw, Jillian P.; Hanel, Joel – Assessment Update, 2023
Following a set of state meetings held throughout fall 2020, the Virginia Education Assessment Collaborative (VEAC) decided to offer a mini-conference in November 2020 to round out offerings and to buttress conversation around topics of high need and interest to Educator Preparation Providers (EPPs). Leveraging the familiar process of the…
Descriptors: Stakeholders, Conferences (Gatherings), Videoconferencing, Teacher Education Programs
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Miller-Rushing, Anica; Hufnagel, Elizabeth – Journal of Science Teacher Education, 2023
In-service teachers of science work with unique content and pedagogical experiences within a changing educational landscape. Understanding teacher agency in these circumstances will help researchers understand the actions that these teachers take. The purpose of this meta-analysis was to review how the agency of K-12 in-service teachers of science…
Descriptors: Elementary Secondary Education, Science Teachers, Professional Autonomy, Educational Research
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Phillips, Tanner M.; Saleh, Asmalina; Ozogul, Gamze – International Journal of Artificial Intelligence in Education, 2023
Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…
Descriptors: Reflection, Artificial Intelligence, Natural Language Processing, Data Collection
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Caspari-Sadeghi, Sima – Journal of Educational Technology Systems, 2023
Intelligent assessment, the core of any AI-based educational technology, is defined as embedded, stealth and ubiquitous assessment which uses intelligent techniques to diagnose the current cognitive level, monitor dynamic progress, predict success and update students' profiling continuously. It also uses various technologies, such as learning…
Descriptors: Artificial Intelligence, Educational Technology, Computer Assisted Testing, Barriers
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Izenberg, Maxwell; Brown, Ryan; Siebert, Cora; Heinz, Ron; Rahmattalabi, Aida; Vayanos, Phebe – Field Methods, 2023
In the small town of Sitka, Alaska, frequent and often catastrophic landslides threaten residents. One challenge associated with disaster preparedness is access to timely and reliable risk information. As with many small but diverse towns, who or what is a trustworthy source of information is often contested. To help improve landslide…
Descriptors: Community Involvement, Social Networks, Data Collection, Network Analysis
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Bruhn, Allison L.; Estrapala, Sara; Mahatmya, Duhita; Rila, Ashley; Vogelgesang, Kari – Behavioral Disorders, 2023
Data-based individualization (DBI) is a process of collecting and analyzing data on students' response to intervention and then making intervention adaptations accordingly. Although this process can lead to better student outcomes, very few teachers are trained in the components of DBI, particularly in relation to behavior. Improving practice…
Descriptors: Faculty Development, Teacher Attitudes, Data Collection, Data Analysis
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Heilmann, John; Miller, Jon F. – Perspectives of the ASHA Special Interest Groups, 2023
Purpose: In the early 1980s, researchers and speech-language pathologists (SLPs) collaborated to develop the Systematic Analysis of Language Transcripts (SALT). Research and development over the ensuing decades has culminated into SALT Solutions, a set of tools to assist SLPs to efficiently complete language sample analysis (LSA) with their…
Descriptors: Sampling, Language Usage, Data Analysis, Data Collection
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Kearney, Christopher A.; Childs, Joshua – Preventing School Failure, 2023
School attendance/absenteeism (SA/A) is a crucial indicator of health and development in youth but educational policies and health-based practices in this area rely heavily on a simple metric of physical presence or absence in a school setting. SA/A data suffer from problems of quality (reliability, construct validity, data integrity) and utility…
Descriptors: Attendance, Educational Policy, Health, Improvement
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Ho, Stephanie – LEARNing Landscapes, 2023
During a two-term observational study of my Secondary English Language Arts (ELA) class, I introduced "Surrealism" to the existing curriculum. Jot notes, personal interviews, and a self-study comprised my data strands. The COVID-19 pandemic struck shortly before my scheduled in-person interviews. This uncertainty disrupted my doctoral…
Descriptors: Interviews, COVID-19, Pandemics, Videoconferencing
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