NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Does not meet standards1
Showing 706 to 720 of 4,055 results Save | Export
Almatrafi, Omaima – ProQuest LLC, 2018
A Massive Open Online Course (MOOC) is a course that is offered fully online and is usually open for enrollment by any individual, with no limit on the number of participants. MOOCs are a popular resource for learning worldwide with over 23 million new learners registering for MOOCs in 2017 alone. Coursera, the most popular MOOC platform, has…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Early Childhood Data Collaborative, 2018
Many states are building systems and structures to integrate their early care and education data. Combining data from different programs and agencies that serve young children allows policymakers and program decision makers to better answer critical questions about the needs of families in their communities, as well as questions about services and…
Descriptors: Early Childhood Education, Young Children, Early Intervention, Participation
Peer reviewed Peer reviewed
Direct linkDirect link
Ko, Eunhye; Lim, Kyu Yun; Joo, Soo Hyoung; Resta, Paul E. – Journal of Technology and Teacher Education, 2021
The unforeseen school closures in response to COVID-19 have brought unique challenges to teachers, who were required to not only flexibly shift between on- and off-line learning but also safely promote student-centered and collaborative learning in socially distanced remote and on-campus classrooms. Teachers in South Korea, one of the first…
Descriptors: Foreign Countries, Blended Learning, Educational Technology, Technology Uses in Education
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Data Quality Campaign, 2021
The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…
Descriptors: Educational Policy, Policy Formation, Data Collection, Data Analysis
Padilla, Thomas – OCLC Online Computer Library Center, Inc., 2019
Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Educational Technology
Nowicki, Jacqueline – US Government Accountability Office, 2020
Every 2 years, Education requires nearly all school districts to report incidents of restraint and seclusion. Generally, restraint is restricting a student's ability to move, and seclusion is confining them alone in a space they cannot leave. The House Committee on Appropriations' explanatory statement accompanying the Consolidated Appropriations…
Descriptors: Discipline, Behavior Modification, Public Schools, School Districts
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wasburn-Moses, Leah – School-University Partnerships, 2017
Teacher Residencies have been highly touted as the next generation in teacher preparation, because they are applied programs that are predicated on strong partnerships and in-the-field mentoring. However, very little is known about this model as a whole. The goal of the current study is to report on the scope of teacher residencies, and compare…
Descriptors: Preservice Teacher Education, National Surveys, Definitions, Data Analysis
Chung, Dahee – ProQuest LLC, 2017
The healthcare environment is becoming increasingly dependent on health information technology, with providers, patients, payers, and other players producing and sharing information to improve healthcare delivery. This, in turn, has brought the issue of Health Information Infrastructure (HII) to the forefront of policy, design, and law. While…
Descriptors: Access to Information, Information Dissemination, Information Technology, Health Services
Toure, Ibrahim – ProQuest LLC, 2017
Terrorism is a complex and evolving phenomenon. In the past few decades, we have witnessed an increase in the number of terrorist incidents in the world. The security and stability of many countries is threatened by terrorist groups. Perpetrators now use sophisticated weapons and the attacks are more and more lethal. Currently, terrorist incidents…
Descriptors: Data Analysis, Prediction, Terrorism, Risk
Julie F. Schappe – Sage Research Methods Cases, 2017
In this case, I discuss my progression from ethnography toward multimodal ethnography as a necessary methodology to study multiliterate and multimodal lives. I view daily life, social interactions, and meaning-making practices as inherently multimodal. By multimodal, I mean that individuals continually read, interpret, and create meanings that…
Descriptors: Research Methodology, Intermode Differences, Researchers, Reflection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ceccucci, Wendy; Tamarkin, Dawn; Jones, Kiku – Information Systems Education Journal, 2015
Data Science courses are becoming more prevalent in recent years. Increasingly more universities are offering individual courses and majors in the field of Data Science. This study evaluates data science education as a means to become proficient in scientific literacy. The results demonstrate how the educational goals of a Data Science course meet…
Descriptors: Information Science, Higher Education, Scientific Literacy, Data Analysis
Fisher, Doug; Frey, Nancy – Educational Leadership, 2015
Schools are awash in data, and teachers are being asked to gather data in a myriad of high-tech and low-tech ways. But gathering is not analyzing, and without analysis there is little reason to gather the data in the first place. Teachers need data-collection systems that lend themselves to rapid analysis and action. This article presents several…
Descriptors: Data Collection, Data Analysis, Formative Evaluation, Video Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Peseckas, Ryan – Field Methods, 2016
I used a subscriber identity module card reader to copy the lists of saved contacts from 170 mobile phones in Fiji. This approach has both advantages and disadvantages compared to other techniques for collecting telephone network data. Copying phone contacts avoids recall biases associated with survey-based name generators. It also obviates the…
Descriptors: Handheld Devices, Social Networks, Telecommunications, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Drachsler, H.; Kalz, M. – Journal of Computer Assisted Learning, 2016
The article deals with the interplay between learning analytics and massive open online courses (MOOCs) and provides a conceptual framework to situate ongoing research in the MOOC and learning analytics innovation cycle (MOLAC framework). The MOLAC framework is organized on three levels: On the micro-level, the data collection and analytics…
Descriptors: Online Courses, Data Collection, Data Analysis, Reflection
Pages: 1  |  ...  |  44  |  45  |  46  |  47  |  48  |  49  |  50  |  51  |  52  |  ...  |  271