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Cornman, Stephen Q.; O'Reilly, Nora; Ampadu, Osei; Caskey, Melinda; Vidal, Phil – National Center for Education Statistics, 2022
In 2019, the National Center for Education Statistics (NCES) began exploratory data collection for the School Pension Survey (SPS). The SPS is a new data collection of elementary/secondary school teacher pension data collected at the school district level. The SPS was developed primarily in response to public demand for data on teacher and other…
Descriptors: Retirement Benefits, Teacher Retirement, Elementary School Teachers, Secondary School Teachers
Stefkovics, Ádám – Field Methods, 2022
A number of previous studies have shown that the direction of rating scales may affect the distribution of responses. There is also considerable evidence that the cognitive process of answering a survey question differ by survey mode, which suggests that scale direction effects may interact with mode effects. The aim of this study was to explore…
Descriptors: Data Collection, Surveys, Telephone Surveys, Online Surveys
Harcey, Sela R.; Gauthier, Robin; Markowski, Kelly L.; Smith, Jeffrey A. – Field Methods, 2022
Conducting field research with a vulnerable population is difficult under the most auspicious conditions, and these difficulties only increase during a pandemic. Here, we describe the practical challenges and ethical considerations surrounding a recent data collection effort with a high-risk population during the COVID-19 pandemic. We detail our…
Descriptors: Data Collection, Population Groups, At Risk Persons, COVID-19
Abas, Suriati – International Studies in Sociology of Education, 2022
Multiple literacy practices, such as writing, texting, blogging and journaling, are intertwined in a crisis. Although many studies have been conducted on literacy practices arising from crises such as a divorce, a disaster and social activism, most of them are focused on a single event. In this chapter, I propose a method for examining literacy…
Descriptors: Activism, Signs, Photography, Data Collection
Calver, Michael; Fletcher, Douglas – American Biology Teacher, 2020
Data collected in many biology laboratory classes are on ratio or interval scales where the size interval between adjacent units on the scale is constant, which is a critical requirement for analysis with parametric statistics such as t-tests or analysis of variance. In other cases, such as ratings of disease or behavior, data are collected on…
Descriptors: Statistical Analysis, Data Collection, Biology, Science Laboratories
Jaggia, Sanjiv; Kelly, Alison; Lertwachara, Kevin; Chen, Leida – Decision Sciences Journal of Innovative Education, 2020
Experiential learning opportunities have been proven effective in teaching applied and complex subjects such as business analytics. Current business analytics pedagogy tends to focus heavily on the modeling phase with students often lacking a comprehensive understanding of the entire analytics process including dealing with real-life data that are…
Descriptors: Business Administration Education, Data Analysis, Information Retrieval, Experiential Learning
Conrique, Beverly G.; McDade-Montez, Elizabeth; Anderson, Pamela M. – Community College Journal of Research and Practice, 2020
Online surveys are an efficient and relatively affordable way to collect data. However, there are issues associated with it, including potential fraudulent data due to accidental or deliberate duplicate entries. In this brief we describe a case study of deliberate duplicate entries in an ongoing study of community college students. Students from…
Descriptors: Data Collection, Data, Two Year College Students, Vocational Education
Aspen Institute, 2020
Even in "routine" years, the principal's attention to climate matters for wellness, and it matters for outcomes. School climate is a critical factor supporting the quality of student learning, particularly in times of stress. As a result, districts across the nation have dedicated considerable resources to tools used to assess climate,…
Descriptors: Educational Environment, Data Use, Educational Improvement, Equal Education
UNICEF Innocenti - Global Office of Research and Foresight, 2025
One in every 10 children has a disability. These 240 million children, like all others, have hopes and dreams. Yet they also face unique challenges and barriers shaped by ableism and stigma. This report documents UNICEF and its partners' disability evidence generation from 2018 to 2022. It underscores the organization's deep-rooted commitment to…
Descriptors: International Organizations, Children, Evidence, Students with Disabilities
Danielle Susi-Dittmore – Research in Higher Education, 2025
This study examines the limitations and ableist assumptions embedded in quantitative survey instruments used to gather data on postsecondary students with disabilities. Specifically, three National Center for Educational Statistics postsecondary surveys were examined as data sources. Employing a critical disability studies lens and discourse…
Descriptors: Discourse Analysis, Attitudes toward Disabilities, Social Bias, Data Collection
Rivka Gadot; Dina Tsybulsky – Smart Learning Environments, 2025
Critical thinking (CT) consists of a deliberate and reflective process that can lead to informed decisions. It involves scrutinizing the trustworthiness and consistency of underlying assumptions, the sources of data, and the validity of other information. CT embodies deliberate, self-regulated judgment incorporating cognitive abilities such as…
Descriptors: Critical Thinking, Data Collection, Information Management, Decision Making Skills
Fatema Rahimi; Abolghasem Sadeghi-Niaraki; Houbing Song; Huihui Wang; Soo-Mi Choi – IEEE Transactions on Learning Technologies, 2025
This study investigates the cognitive and emotional processes involved in augmented reality (AR)-based learning. The study looks at learning outcomes, emotional responses, meditation, and attention using a comprehensive approach that includes self-assessment, electroencephalogram data gathering, and postexperiment questionnaires. In total, 12…
Descriptors: Simulated Environment, Cognitive Processes, Outcomes of Education, Emotional Response
Carolyn A. Berry; Courtney Abrams; Margaret M. Paul; Rachel E. Massar; Kayla M. Fennelly; Beth C. Weitzman – American Journal of Evaluation, 2025
Qualitative interviews and focus groups are commonly used methods to elicit participants' voices in program evaluations. However, the use of these data-gathering methods can fall short of the goal; even with open-ended questions, the protocols guiding and shaping interviews and focus groups heavily reflect the evaluators' understanding and…
Descriptors: Program Evaluation, Photography, Visual Aids, Interviews
Dhatri Pandya; Keyur Rana; Aditi Padhiyar – Education and Information Technologies, 2025
With the advent of closed-circuit television systems (CCTV) in the era of technology, a massive amount of video data is generated daily. CCTV are installed at several educational institutions to monitor students' behavior and ensure their safety. Human activity monitoring is done manually. Abnormal human actions refer to rare or unusual actions in…
Descriptors: Technology Uses in Education, Handheld Devices, Telecommunications, Classroom Environment
Lili Aunimo; Janne Kauttonen; Marko Vahtola; Salla Huttunen – Journal of Computing in Higher Education, 2025
Institutions of higher education possess large amounts of learning-related data in their student registers and learning management systems (LMS). This data can be mined to gain insights into study paths, study styles and possible bottlenecks on the study paths. In this study, we focused on creating a predictive model for study completion time…
Descriptors: Data Collection, Learning Management Systems, Study Habits, Time on Task

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