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van Geel, Marieke; Keuning, Trynke; Visscher, Adrie; Fox, Jean-Paul – Leadership and Policy in Schools, 2019
School leaders are assumed to be important for the implementation of data-based decision making (DBDM), but little is known about changes in leadership during this implementation. Educational leadership was measured before, during, and after a two-year, school-wide DBDM intervention in 96 primary schools. Advanced analysis techniques were applied:…
Descriptors: Instructional Leadership, Data Analysis, Intervention, Decision Making
Cohen, Anat; Shimony, Udi; Nachmias, Rafi; Soffer, Tal – British Journal of Educational Technology, 2019
This study explores and characterizes learners' participation patterns in MOOC forums, as well as the factors that correlate with learners' participation. Educational data mining and learning analytics methods were used to retrieve and analyze the learners' interpersonal interaction data, which had accumulated in the Coursera log files. The…
Descriptors: Online Courses, Student Participation, Correlation, Mass Instruction
Schildkamp, Kim; Smit, Maaike; Blossing, Ulf – Scandinavian Journal of Educational Research, 2019
Schools need support in the use of data. To provide this support, a data team intervention was developed. A prior study conducted in the Netherlands showed that several factors can enable or hinder the work of data teams. The current replication study focuses on the factors influencing data use in data teams and the perceived effects of the data…
Descriptors: Foreign Countries, Professional Development, Information Utilization, Evidence Based Practice
DiStefano, Christine; McDaniel, Heather L.; Zhang, Liyun; Shi, Dexin; Jiang, Zhehan – Educational and Psychological Measurement, 2019
A simulation study was conducted to investigate the model size effect when confirmatory factor analysis (CFA) models include many ordinal items. CFA models including between 15 and 120 ordinal items were analyzed with mean- and variance-adjusted weighted least squares to determine how varying sample size, number of ordered categories, and…
Descriptors: Factor Analysis, Effect Size, Data, Sample Size
Raskind, Ilana G.; Shelton, Rachel C.; Comeau, Dawn L.; Cooper, Hannah L. F.; Griffith, Derek M.; Kegler, Michelle C. – Health Education & Behavior, 2019
Data analysis is one of the most important, yet least understood, stages of the qualitative research process. Through rigorous analysis, data can illuminate the complexity of human behavior, inform interventions, and give voice to people's lived experiences. While significant progress has been made in advancing the rigor of qualitative analysis,…
Descriptors: Health Education, Health Behavior, Health Promotion, Educational Research
Brighouse, Harry; Ladd, Helen; Loeb, Susanna; Swift, Adam – Phi Delta Kappan, 2019
In this article, based on their book Educational Goods: Values, Evidence and Decision Making, Harry Brighouse, Helen Ladd, Susanna Loeb, and Adam Swift encourage education decision makers to give careful thought to the values that underlie the data they collect and use to inform policy. Rather than basing decisions entirely on what improves…
Descriptors: Educational Policy, Policy Formation, Evidence Based Practice, Decision Making
Vu, Phu; Adkins, Megan; Henderson, Shelby – Journal of Open, Flexible and Distance Learning, 2019
The purpose of this study was to examine student viewpoints about privacy and personal data collection in online courses in U.S. higher education settings. Results of data analysis revealed that students were aware that their learning behaviours (such as login frequency, pages viewed or clicked, and learning profiles) could be monitored and…
Descriptors: Student Attitudes, Privacy, Data Collection, Online Courses
Simcock, David C.; Chua, Wei-Hang; Hekman, Margreet; Levin, Matthew T.; Brown, Simon – Knowledge Management & E-Learning, 2019
Audiovisual recordings of lectures are available to many students in all disciplines. The use of lecture recordings has been studied extensively, but it is still not clear how, or how much, they are actually used. Previous analysis of their use has been based on either survey data or computer logs of access. In the latter case, measurements of…
Descriptors: Audiovisual Aids, Video Technology, Lecture Method, Science Instruction
Sinani, Sara – Center for the Integration of IDEA Data, 2019
CIID has implemented Generate in 9 state education agencies (SEAs), and through this work SEAs have realized a variety of improvements to their special education data in terms of overall data quality, improvements to data governance structures, and ease of federal reporting. This brief is the second in a series looking at data quality. Here, we…
Descriptors: Information Management, Educational Legislation, Equal Education, Students with Disabilities
Wilson, Duncan – ProQuest LLC, 2019
Current research into data use suggests that the intersection of assessment, reform, and public accountability and their impact on teacher practice are under-conceptualized and not well researched, especially when the data are derived from assessments that are locally produced by teachers. This qualitative case study investigates the development…
Descriptors: Data Use, Public School Teachers, Suburban Schools, Educational Practices
Newton, Leigh Anne – ProQuest LLC, 2019
This applied research study seeks to improve principal capacity as instructional leaders. The need for principals to increase their instructional leadership capacity became evident with the ever-changing requirements of state accountability and student achievement. Using four elements in this study, cohort-based professional development for…
Descriptors: Instructional Leadership, Management Development, Principals, School Districts
Višnovský, Ján; Ungerová, Magdaléna; Kubíková, Karina – NORDSCI, 2019
Due to the development of artificial intelligence and language-based software, automatic machines, which can generate news contents from data, are starting to be used in the editorial practice. Despite the fact that this field of editorial work is currently at its advent, it has been developing and improving relatively quickly. At present, robots…
Descriptors: Journalism, Artificial Intelligence, News Reporting, Information Science
Community College Research Initiatives, 2019
Equity is not just about what colleges do: it is also about who they are, what they believe, and how they are situated within society at large. Equity-minded coaching seeks to make visible the social and structural context of exclusionary practices embedded within the leadership and institutions of American higher education. Equity-minded coaches…
Descriptors: Scoring Rubrics, Educational Change, Coaching (Performance), Systems Approach
Czuprynski, Christine N. – National School Boards Association, 2019
"Data security" describes the protections in place to prevent unauthorized access to or acquisition of personal student and staff information. A school district's data security measures might include keeping student and staff personal data in locked filing cabinets, and limiting access to those filing cabinets to people within the school…
Descriptors: Elementary Secondary Education, Boards of Education, Data, Information Security
Diego Mendez-Carbajo; Charissa O. Jefferson; Katrina L. Stierholz – Numeracy, 2019
We describe a pedagogical strategy aimed at developing both quantitative and information literacy skills through a social justice lens. This lesson plan is suitable for a variety of high school and introductory college courses. The student learning goals associated with this pedagogical strategy span three intellectual domains: social justice,…
Descriptors: Information Literacy, Numeracy, Economics, Data

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