NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1,906 to 1,920 of 75,218 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Semih Sait Yilmaz; Ayse Collins; Seyid Amjad Ali – European Journal of Education, 2024
In response to the COVID-19 pandemic, an abrupt wave of digitisation and online migration swept the higher education institutions around the globe. In the aftermath of this digital transformation which endures as the legacy of the pandemic, what lacks in knowledge is how effective the anti-COVID measures were in maintaining quality education.…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, COVID-19
Peer reviewed Peer reviewed
Direct linkDirect link
Amanda M. Rudolph; Shaqwana Freeman-Green; Laurel Byrne; Emma Savage-Davis; Lianne M. Jones; Jamia Thomas-Richmond – New Educator, 2024
Milner (2012) defines opportunity gaps as the uncontrollable factors such as race, language, or economic status that can impact students' success in schools. Rather than placing focus on students' achievement, examinations of opportunity gaps emphasize the systems and structures that may contribute to disparities in student outcomes. The…
Descriptors: College Freshmen, First Year Seminars, Career Choice, Teacher Shortage
Erin W. Post – ProQuest LLC, 2024
Multivariate count data is ubiquitous in many areas of research including the physical, biological, and social sciences. These data are traditionally modeled with the Dirichlet Multinomial distribution (DM). A new, more flexible Dirichlet-Tree Multinomial (DTM) model is gaining in popularity. Here, we consider Bayesian DTM regression models. Our…
Descriptors: Regression (Statistics), Multivariate Analysis, Statistical Distributions, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Alexa von Hagen; Bettina Müller; Natalie Vannini; Nils Rublevskis; Mirijam Schaaf; Stephan Jeck; Marion Müller-Staske; Gerhard Bachmann; Anna Sedlak; Joanna Wegerer; Gerhard Büttner – Canadian Journal of School Psychology, 2024
Many countries rely on statements issued by professional associations to delimit the scope of school psychological practice. It is, however, not always clear to what extent these statements match current practices and school psychologists' self-perception of their professional role, as empirical data is often unavailable or limited. This study…
Descriptors: Foreign Countries, School Psychology, School Counseling, School Psychologists
Peer reviewed Peer reviewed
Direct linkDirect link
Sarah R. Cohodes; James J. Feigenbaum – Education Next, 2024
Americans with more education vote at higher rates. Some studies have found evidence of a causal relationship, while others have not. The available data also tell us little about why and how education increases voting. The authors looked the educational trajectories and adult voting records of students who attend charter schools in Boston. The…
Descriptors: Charter Schools, Voting, Citizen Participation, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
JongSoo Lee; Bit Na Choi – Education Economics, 2024
This study examines the return to education in South Korea by comparing metropolitan areas with non-metropolitan areas. It utilizes the Korean Labor and Income Panel Study from 2018 and 2019 for analysis, alongside the Mincer equation. The findings indicate that female workers have a higher return to education compared to male workers. The Oaxaca…
Descriptors: Gender Differences, Wages, Foreign Countries, Outcomes of Education
Peer reviewed Peer reviewed
Direct linkDirect link
William Bosshardt; Amanda Jennings; Peter Davies – Journal of Economic Education, 2024
The authors of this article present arguments for why and how qualitative research should be used in economic education. These arguments recognize the nature of economics as a discipline and economics educators' current expertise and preferences. The authors have five goals: (i) clarifying how and why the use of qualitative research in economic…
Descriptors: Economics Education, Educational Research, Qualitative Research, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Emma Day; Kruakae Pothong; Ayça Atabey; Sonia Livingstone – Learning, Media and Technology, 2024
A socio-legal analysis of the UK governance regime for data collected from children at school for teaching and learning contrasts the government-mandated data collection by schools to inform educational policy and planning with data processed and shared with third parties by commercial EdTech providers. We find the former is effectively governed…
Descriptors: Foreign Countries, Data Collection, Information Security, Student Records
Peer reviewed Peer reviewed
Direct linkDirect link
Daniel Clark – Learning, Media and Technology, 2024
Whilst technology may have been the 'saviour' of HE from the immediate challenges of the pandemic, the opportunistic dialogue emerging in response is imbued with notions of the pandemic as a catalyst for change. Empowered by the apparent success of technology's deliverance, the door has been opened to unprecedented investment into a pervasive and…
Descriptors: Educational Technology, Higher Education, Consumer Economics, Neoliberalism
Attendance Works, 2024
This brief is our fourth annual review of how states are and could make a difference in school attendance with new policies and practices. Reversing today's chronic absenteeism requires state leaders to make reducing chronic absence a priority. In our work with states, we see how state leadership, especially from governors and state education…
Descriptors: Attendance, State Policy, Educational Policy, Data Collection
Roger Sheng So – ProQuest LLC, 2024
Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify…
Descriptors: Learning Management Systems, Data Use, At Risk Students, Learner Engagement
Statistics Canada, 2024
Statistics Canada releases data on the labour market outcomes of college and university graduates using data from the Education and Labour Market Longitudinal Platform (ELMLP). Statistics Canada has developed the ELMLP in collaboration with the provincial and territorial ministries of education, Employment and Social Development Canada (ESDC), and…
Descriptors: Labor Market, College Graduates, Predictor Variables, Longitudinal Studies
Wisconsin Policy Forum, 2024
Wisconsin's technical colleges appear to receive unusually high funding levels per student compared to other public two-year colleges nationally. Yet our review has found more than 100,000 technical college students being served in Wisconsin are absent in national data, likely inflating the funding figures. Accounting for the missing students…
Descriptors: Vocational Schools, State Aid, Part Time Students, Full Time Students
Peer reviewed Peer reviewed
Direct linkDirect link
Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Michelle Pauley Murphy; Woei Hung – TechTrends: Linking Research and Practice to Improve Learning, 2024
Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…
Descriptors: Information Retrieval, Data Analysis, Pattern Recognition, Artificial Intelligence
Pages: 1  |  ...  |  124  |  125  |  126  |  127  |  128  |  129  |  130  |  131  |  132  |  ...  |  5015