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Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Patricia Hadler – Sociological Methods & Research, 2025
Probes are follow-ups to survey questions used to gain insights on respondents' understanding of and responses to these questions. They are usually administered as open-ended questions, primarily in the context of questionnaire pretesting. Due to the decreased cost of data collection for open-ended questions in web surveys, researchers have argued…
Descriptors: Online Surveys, Discovery Processes, Test Items, Data Collection
Larry Katz; Megan Hallam; Zoe Polsky; Michael Duvall; Lisa Finestone; Dave Carlgren – Canadian Journal for the Scholarship of Teaching and Learning, 2025
Interactive student response systems (SRS, clickers) are used in post-secondary classrooms to enhance student engagement and learning. Their use, however, is most often limited to reviewing material with multiple choice questions. The present study examined student responses to a strategy for technology-enhanced learning within an introductory…
Descriptors: Postsecondary Education, Audience Response Systems, Educational Technology, Feedback (Response)
Vincent Cho; Sofia Dueñas – Journal of Educational Research and Practice, 2025
Unbeknownst to many researchers, online surveys can be vulnerable to attacks from bots and generative artificial intelligence (AI), which can generate hundreds of fraudulent responses instantly. Confronting this challenge to data integrity, we employed an adaptive approach to test the effectiveness of various anti-fraud tactics (e.g., CAPTCHA;…
Descriptors: Artificial Intelligence, Online Surveys, Research Methodology, Research Projects
Jaye-Jaye Johnson – Journal of Educational Research and Practice, 2025
Educational technology (EdTech) interoperability throughout cyberspace provides the financial opportunity to collect and sell student privacy information in digital learning environments, challenging school leaders to govern schools and keep children safe. School leaders provide the resources, funding, planning, decision making, and administration…
Descriptors: Educational Technology, Computer Security, Public Schools, Privacy
Guenter, Cris – National Art Education Association, 2019
The teaching performance expectations and assignments that preservice art teachers currently address in field experiences and in their coursework are designed to help them meet the expectations of being a quality art educator in the 21st century. These assignments may be very different from the assignments that art educators had in their…
Descriptors: Data Use, Decision Making, Data Collection, Art Education
Mason, Erica N.; Smith, R. Alex – Intervention in School and Clinic, 2020
Intervention dosage is an often-overlooked aspect of implementation fidelity. Tracking intervention dosage is critical for ensuring students with disabilities were present for and received the intervention for as many minutes as intended. Used in tandem with student performance data, intervention dosage can provide a clearer picture of…
Descriptors: Intervention, Program Implementation, Fidelity, Students with Disabilities
Horner, Robert H. – American Journal on Intellectual and Developmental Disabilities, 2020
The policy decisions of state, district and school educators affect the extent to which students have access to high-quality practices. This is especially relevant for students with disabilities and their families. This article summarizes a presentation made at the 2019 AAIDD conference and proposes an operational role for policy makers. Two…
Descriptors: Educational Policy, Educational Practices, Educational Change, Students with Disabilities
Yildiz, Gizem; Yildirim, Abdurrahman; Akça, Bedreddin Ali; Kök, Ayse; Özer, Açelya; Karatas, Serçin – International Review of Research in Open and Distributed Learning, 2020
A total of 1023 selected articles published in 2016-2019 related to mobile learning were examined and classified according to the categories in this research: 40% of these articles used quantitative approaches, 18% of them used mixed, and 13% of them were literature reviews. The published studies were analyzed according to research model, sample…
Descriptors: Educational Trends, Educational Research, Electronic Learning, Handheld Devices
Li, Kam-Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2020
Purpose: This paper aims to present a review of case studies on the use of learning analytics in Science, Technology, Engineering, (Arts), and Mathematics (or STE[A]M) education. It covers the features and trends of learning analytics practices as revealed in case studies. Design/methodology/approach: A total of 34 case studies published from 2013…
Descriptors: Learning Analytics, Art Education, STEM Education, Adoption (Ideas)
Lee, Victor R.; Dubovi, Ilana – Journal of the Learning Sciences, 2020
This article reports on an exploratory study of quantitative data use situated in families' management routines while taking care of a child with Type 1 diabetes (T1D). T1D treatment requires frequent measurement and recording of numerical data about blood sugar concentration, nutritional intake, and insulin dosage at the child's home, at school,…
Descriptors: Family Involvement, Diabetes, Child Caregivers, Information Storage
Colver, Mitchell – New Directions for Institutional Research, 2019
As we become increasingly acquainted with the rich opportunities that analytics systems can provide, there is a commensurate need to consider the extent to which analytics tools are effectively integrated, with proper training, into the day-to-day functioning of higher education professionals. This chapter explores the extent to which predictive…
Descriptors: Data Collection, Data Analysis, Educational Research, Higher Education
Zinth, Jennifer; Taylor, Jason L. – New Directions for Institutional Research, 2019
Dual enrollment is a complex policy issue and is increasingly of interest to state policymakers. Adequate data and data systems are critical to informing dual enrollment policy, yet the data at the federal level and many state data systems suffer from common challenges and lack the capacity to address dual enrollment policy. We review the…
Descriptors: Dual Enrollment, Educational Policy, State Policy, Data Collection
Vogl, Susanne – Journal of Mixed Methods Research, 2019
The challenge in data analysis often lies in accounting for the multidimensionality and complexity of the data while simultaneously discovering patterns. Integrating and consolidating different types of data during analysis can broaden the perspective and permit obtaining complementary views. This methodological research study on data collection…
Descriptors: Mixed Methods Research, Data Analysis, Focus Groups, Children
Petersen, Amanda J. – Wilder Research, 2019
Positive Behavioral Interventions and Supports (PBIS) is an evidence-based approach to addressing behavior issues in schools. A significant amount of research has been done to identify the critical features of PBIS. More generally, implementation science points to a specific sequence to ensure that PBIS is implemented with fidelity. This spring…
Descriptors: Positive Behavior Supports, Program Implementation, Fidelity, Scores

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