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Basnet, Ram B.; Johnson, Clayton; Doleck, Tenzin – Education and Information Technologies, 2022
The nature of teaching and learning has evolved over the years, especially as technology has evolved. Innovative application of educational analytics has gained momentum. Indeed, predictive analytics have become increasingly salient in education. Considering the prevalence of learner-system interaction data and the potential value of such data, it…
Descriptors: Prediction, Dropouts, Predictive Measurement, Data Collection
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Robin Samuelsson – Journal of Mixed Methods Research, 2025
Video has become a widespread tool for capturing naturalistic behavioral data. While mixed methods show great potential in understanding the active nature of children's interaction, only a few studies have developed mixed methods for video-based interaction research. This paper presents a mixed methods embodied interaction model appropriate for…
Descriptors: Video Technology, Data Collection, Child Behavior, Interaction
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Julie Fitz; Julie Woods; Naomi Duran; Jennifer McCombs – Learning Policy Institute, 2025
Student participation in summer programming can be an effective way to address students' academic and developmental needs. When well implemented and well attended, summer enrichment programs, academic programs, and employment programs have demonstrated positive outcomes for youth in areas related to program content, including academic achievement…
Descriptors: Summer Programs, Educational Opportunities, Educational Quality, Regional Characteristics
Richard Hendra; Johanna Walter; Audrey Yu – MDRC, 2024
Government agencies collect vast amounts of administrative data in their day-to-day activities, primarily for program operations. But the information is less often used as a research tool or fully harnessed for its evidence-building potential. This brief is the fourth in a series of publications from MDRC about the Temporary Assistance for Needy…
Descriptors: Data Collection, Data Use, Evidence Based Practice, Program Administration
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Dana Garbarski; Jennifer Dykema; Cameron P. Jones; Tiffany S. Neman; Nora Cate Schaeffer; Dorothy Farrar Edwards – Field Methods, 2024
Ethnoracial identity refers to the racial and ethnic categories that people use to classify themselves and others. How it is measured in surveys has implications for understanding inequalities. Yet how people self-identify may not conform to the categories standardized survey questions use to measure ethnicity and race, leading to potential…
Descriptors: Ethnicity, Racial Identification, Classification, Error of Measurement
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Prasanna S. Premkumar; Santhosh Kumar Ganesan; Balaji Pandiyan; Dhivya Kumari Krishnamoorthy; Gagandeep Kang – Field Methods, 2024
Household expenditure data is at the core of efforts to measure living standards, inequality and financial protection against illness. Currently it is mainly derived from recall-based surveys that are time consuming and prone to measurement errors. Diaries are often used as an alternative approach, however this results in fatigue and low…
Descriptors: Handheld Devices, Telecommunications, Diaries, Surveys
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Narjes Rohani; Behnam Rohani; Areti Manataki – Journal of Educational Data Mining, 2024
The prediction of student performance and the analysis of students' learning behaviour play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behaviour, educators can gain valuable insights into the factors that influence students' academic outcomes and identify areas of…
Descriptors: Mathematics Education, Models, Prediction, Knowledge Level
Emily R. Koren; John W. Curtis; Adrianna Kezar; K. C. Culver – Pullias Center for Higher Education, 2024
The purpose of the Faculty, Academic Careers and Environments (FACE) project is to understand who faculty are, what their academic careers look like, and how the environments in which they work shape their ability to thrive as instructors, researchers and public scholars in the community. The goal of the project is to examine and pilot test how…
Descriptors: Higher Education, Pilot Projects, Diversity (Faculty), Individual Characteristics
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Margaret Marchant; Ethan Eliason – Journal of Education for Business, 2024
Undergraduate economics programs prepare students for future careers by developing competency working with data, or "data literacy." Our research examined the data literacy components of undergraduate economics programs at R1 and R2 universities in the United States (N = 190). We developed a protocol with core data skills and coded…
Descriptors: Undergraduate Students, Economics Education, Data Collection, Data Interpretation
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David Hodgson; Reinie Cordier; Lauren Parsons; Brontë Walter; Fadzai Chikwava; Lynelle Watts; Stian Thoresen; Matthew Martinez; Donna Chung – International Journal of Social Research Methodology, 2024
Managing and analysing large qualitative datasets pose a particular challenge for researchers seeking a consistent and rigorous approach to qualitative data analysis. This paper describes and demonstrates the development and adoption of a matrix tool to guide the qualitative data analysis of a large sample (N = 122) of interview data. The paper…
Descriptors: Research Methodology, Data Analysis, Data Collection, Matrices
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Juliana Elisa Raffaghelli; Marc Romero Carbonell; Teresa Romeu-Fontanillas – Information and Learning Sciences, 2024
Purpose: It has been demonstrated that AI-powered, data-driven tools' usage is not universal, but deeply linked to socio-cultural contexts. The purpose of this paper is to display the need of adopting situated lenses, relating to specific personal and professional learning about data protection and privacy. Design/methodology/approach: The authors…
Descriptors: Artificial Intelligence, Data Collection, Information Literacy, Intervention
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Lucas Vasconcelos; Hengtao Tang; Ismahan Arslan-Ari; Michael M. Grant; Fatih Ari; Yingxiao Qian – Impacting Education: Journal on Transforming Professional Practice, 2024
Practitioner-focused educational doctoral programs have grown substantially in recent years. Dissertations in Practice (DiPs), which are the culminating research report and evaluation method in these programs, differ from traditional PhD dissertations in their focus on addressing a problem of practice and on connecting theories with practice. As…
Descriptors: Doctoral Programs, Online Courses, Asynchronous Communication, Doctoral Dissertations
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Mohamad Reza Farangi; Mohamad Khojastemehr – Journal of Academic Ethics, 2024
The present study used quantitative and qualitative measures to examine Iranian applied linguists' (mis-) conceptions of ethical issues in research. For this purpose, one hundred and twelve applied linguists completed a research ethics questionnaire constructed and validated by the researchers. In the follow-up qualitative phase, 15 applied…
Descriptors: Ethics, Applied Linguistics, Questionnaires, Data Collection
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Bimal Aklesh Kumar; Sailesh Saras Chand; Munil Shiva Goundar – International Journal of Information and Learning Technology, 2024
Purpose: Mobile learning has seen tremendous growth over the years. Like any other software application, usability is one of the key concerns in its successful implementation. There is a lack of study that provides a comprehensive overview of usability testing of mobile learning applications. Motivated by this a mapping study is conducted.…
Descriptors: Usability, Electronic Learning, Computer Software, Computer Oriented Programs
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Htay-Wah Saw; Brady T. West; Mick P. Couper; William G. Axinn – Field Methods, 2024
The American Family Health Study (AFHS) collected family health and fertility data from a national probability sample of persons aged 18-49 between September 2021 and May 2022, using web and mail exclusively. In July 2022, we surveyed AFHS respondents and gauged their willingness to become part of a national web panel that would create novel…
Descriptors: National Surveys, Data Collection, Experimenter Characteristics, Participant Characteristics
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