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Xu, Ziqian; Hai, Jiarui; Yang, Yutong; Zhang, Zhiyong – Grantee Submission, 2022
Social network data often contain missing values because of the sensitive nature of the information collected and the dependency among the network actors. As a response, network imputation methods including simple ones constructed from network structural characteristics and more complicated model-based ones have been developed. Although past…
Descriptors: Social Networks, Network Analysis, Data Analysis, Bayesian Statistics
Data Quality Campaign, 2022
State legislators have the opportunity to create and support legislation that positions data as a tool to help decisionmakers at all levels take action to support student success. This checklist can serve as a guide to crafting legislation that addresses education data. It applies specifically to education data legislation which includes bills…
Descriptors: State Legislation, Data Collection, Data Analysis, Educational Policy
Clare Waterman; Katherine Shields; Tracy McMahon – Education Development Center, Inc., 2022
This Toolkit presents lessons learned from the process of implementing a new system for collecting student-level work-based learning (WBL) data in high school career and technical education (CTE) programs. As part of a study on career academies and WBL, a research team worked closely with a district CTE office and school staff to design and…
Descriptors: Vocational Education, Work Experience Programs, Data Collection, Goal Orientation
Parnell, Amelia R. – New Directions for Institutional Research, 2019
For decades, colleges and universities have strived to use data to take bold actions and make big decisions. The result is an expanding community of higher education professionals who are leveraging analytics to deliver optimal learning experiences for students. This chapter will describe the evolution of data use in higher education with a focus…
Descriptors: Data Analysis, Data Use, Decision Making, Higher Education
DeCino, Daniel A.; Waalkes, Phillip L. – International Journal of Research & Method in Education, 2019
Thoroughly conceptualized and designed member checks can strengthen credibility in qualitative research. Member checks can help researchers increase accuracy of their findings, reflect on their topic, and create change. Although member checks are widely used, numerous researchers have argued that they are often underdeveloped in terms of design…
Descriptors: Epistemology, Qualitative Research, Credibility, Interviews
Samuelsen, Jeanette; Chen, Weiqin; Wasson, Barbara – Research and Practice in Technology Enhanced Learning, 2019
Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate data coming from many different data sources, which may be stored in different formats and have varying levels of structure.…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
Prinsloo, Paul – Journal of Learning Analytics, 2019
Keynotes fulfill a particular function in the planning and compiling of a conference program, and these individuals are invited for a number of reasons -- to lend political and/or scholarly gravitas to the event, to stimulate and enlighten, and/or to provoke. Keynotes are also often outsiders to a particular field, and an invitation to deliver a…
Descriptors: Criticism, Data Analysis, Conferences (Gatherings), Speeches
Verma, Amit; Yurov, Kirill M.; Lane, Peggy L.; Yurova, Yuliya V. – Journal of Education for Business, 2019
Presently, analytics degree programs exhibit a growing trend to meet a strong market demand. To explore the skill sets required for analytics positions, the authors examined a sample of online job postings related to professions such as business analyst (BA), business intelligence analyst (BIA), data analyst (DA), and data scientist (DS) using…
Descriptors: Job Skills, Data Analysis, Occupational Information, Professional Personnel
Zakharova, Alena A.; Vekhter, Evgeniya V.; Shklyar, Aleksey V. – European Journal of Contemporary Education, 2019
At the stage of designing an educational environment, one of the most significant problems is the creation of effective visualization tools for collecting, organizing and analysing educational information. Existing approaches to visual information analysis have a number of disadvantages, which include a significant resource intensity and high…
Descriptors: Visualization, Design, Educational Environment, Data Collection
Durrant, Gabriele B.; Maslovskaya, Olga; Smith, Peter W.F. – International Journal of Social Research Methodology, 2019
Researchers have become increasingly interested in better understanding the survey data collection process in interviewer-administered surveys. However, tools for analysing paradata capturing information about field processes, also called call record data, are still not yet fully explored. This paper introduces sequence analysis as a simple tool…
Descriptors: Foreign Countries, Data Analysis, Interviews, Surveys
Moore, Russell; Caines, Andrew; Elliott, Mark; Zaidi, Ahmed; Rice, Andrew; Buttery, Paula – International Educational Data Mining Society, 2019
Educational systems use models of student skill to inform decision-making processes. Defining such models manually is challenging due to the large number of relevant factors. We propose learning multidimensional representations (embeddings) from student activity data -- these are fixed-length real vectors with three desirable characteristics:…
Descriptors: Models, Knowledge Representation, Skills, Artificial Intelligence
Jessica Emick; Nathan M. Griffith; Hannah Schweitzer – Psychology in the Schools, 2025
Epilepsy is one of the most common neurological disorders in young people, which disrupts daily life and results in an increased risk of victimization. Archival data from the 2018/2019 National Survey of Children's Health (NSCH), a nationally representative cross-sectional survey, were used. Data from the NSCH were collected via parent reports and…
Descriptors: Epilepsy, Severity (of Disability), Students with Disabilities, Parents
Ozlem Oktay; Ilknur Reisoglu; Seyda Gul; Dilek Teke; Mustafa Sozbilir; Ilayda Gunes; Rumeysa Yildiz; Gulsah Atila; Aysegul Yazar; Lauri Malmi; Päivi Kinnunen; Jarkko Lampiselkä; Arja Kaasinen – Scandinavian Journal of Educational Research, 2025
The aim of this study is to compare the master's (MA) theses in Türkiye (TR) and Finland (FIN) published between 2015-2019. A total of 765 theses were analysed in terms of year, discipline, methodological approach, research method, didactic foci, data collection tool, target group, and sample size. The results showed that FIN theses grounded on…
Descriptors: Foreign Countries, Masters Theses, STEM Education, Intellectual Disciplines
Frank C. Butler; Deborah M. Mullen; Kathleen K. Wheatley – Journal of Education for Business, 2025
Anecdotal evidence suggests that students with quantitative business majors (e.g., finance, accounting, data analytics, economics) outperform students from less quantitatively rigorous majors (e.g., management, human resource management, marketing) on a business simulation game at a mid-sized, southeastern, public, AACSB accredited university. We…
Descriptors: Business Education, Majors (Students), Finance Occupations, Accounting
Sheryl S. Lazarus; Martha L. Thurlow; Mari K. A. Quanbeck – Journal of Special Education, 2025
The 2015 reauthorization of the Elementary and Secondary Education Act placed a 1.0% cap on the participation of students with disabilities in the alternate assessment based on alternate academic achievement standards (AA-AAAS). U.S. Department of Education regulations clarified that states must develop participation guidelines and a definition of…
Descriptors: Students with Disabilities, Alternative Assessment, Guidelines, State Standards

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