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Pattyn, Valérie; Molenveld, Astrid; Befani, Barbara – American Journal of Evaluation, 2019
Qualitative comparative analysis (QCA) is gaining ground in evaluation circles, but the number of applications is still limited. In this article, we consider the challenges that can emerge during a QCA evaluation by drawing on our experience of conducting one in the field of development cooperation. For each stage of the evaluation process, we…
Descriptors: Qualitative Research, Comparative Analysis, Evaluation Methods, Program Evaluation
Simonsen, Brandi; Freeman, Jen; Swain-Bradway, Jessica; George, Heather Peshak; Putnam, Robert; Lane, Kathleen Lynne; Sprague, Jeffrey; Hershfeldt, Patti – Education and Treatment of Children, 2019
Research suggests (a) students benefit when educators implement positive and proactive classroom behavior support practices (e.g., maximizing structure, teaching expected behaviors, delivering engaging instruction) and (b) educators benefit when school leadership teams invest in positive and proactive professional development support systems…
Descriptors: Positive Behavior Supports, Student Behavior, Teaching Methods, Classroom Techniques
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Cantarero, Rodrigo; de Guzman, Maria Rosario T.; Taylor, Sarah; Hong, Soo-Young; Choi, Jeong-Kyun – Journal of Extension, 2019
The increasing use of geographic information system (GIS) technology in various fields suggests the need for professionals, including those in Extension, to be mindful of communicating data accurately and effectively. This article examines approaches to creating classes or groupings within data as well as the weaknesses of each approach. Data…
Descriptors: Geographic Information Systems, Maps, Extension Agents, Data Collection
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Sean Mackney; Robin Shields – International Perspectives on Education and Society, 2019
This chapter examines the application of learning analytics techniques within higher education -- learning analytics -- and its application in supporting "student success." Learning analytics focuses on the practice of using data about students to inform interventions aimed at improving outcomes (e.g., retention, graduation, and learning…
Descriptors: Learning Analytics, Academic Achievement, College Students, Data Use
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Rotman, Assaf; Shalev, Michael – Sociological Methods & Research, 2022
Automatically collected behavioral data on the location of users of mobile phones offer an unprecedented opportunity to measure mobilization in mass protests, while simultaneously expanding the range of researchable questions. Location data not only improve estimation of the number and composition of participants in large demonstrations. Thanks to…
Descriptors: Measurement Techniques, Activism, Telecommunications, Handheld Devices
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Kularski, Curtis M.; Martin, Florence – American Journal of Distance Education, 2022
This systematic review of research on online student privacy in higher education used a strategic search process to synthesize research on online student privacy based on publications trends, research methods, online spaces studied and the focus of the research. A total of 41 articles were analyzed to explore the existing literature on the topic.…
Descriptors: Online Courses, College Students, Electronic Learning, Privacy
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Alonso-Fernández, Cristina; Calvo-Morata, Antonio; Freire, Manuel; Martínez-Ortiz, Iván; Fernández-Manjón, Baltasar – Journal of Learning Analytics, 2022
Game learning analytics (GLA) comprise the collection, analysis, and visualization of player interactions with serious games. The information gathered from these analytics can help us improve serious games and better understand player actions and strategies, as well as improve player assessment. However, the application of analytics is a complex…
Descriptors: Educational Games, Learning Analytics, Data Collection, Educational Improvement
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Birtwistle, Efsun; Schoedel, Ramona; Bemmann, Florian; Wirth, Astrid; Sürig, Christoph; Stachl, Clemens; Bühner, Markus; Niklas, Frank – International Journal of Testing, 2022
Digital technologies play an important role in our daily lives. Smartphones and tablet computers are very common worldwide and are available for everybody from a very early age. This trend offers the opportunity to track digital usage data for psychological and educational research purposes. The current paper introduces two research projects, the…
Descriptors: Handheld Devices, Computer Oriented Programs, Telecommunications, Computer Use
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Yeung, Glorry; Mun, Rachel U. – Journal for the Education of the Gifted, 2022
Researchers in gifted and talented education (GATE) have increasingly taken on the role of advocating equity and access for minoritized populations. However, subgroups of racially and ethnically diverse students are rarely disaggregated from monolithic racial and ethnic categories. Studies on academic achievement of Asian American and White…
Descriptors: Gifted Education, Talent, Educational Research, Race
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Chansanam, Wirapong; Jaroenruen, Yuttana; Kaewboonma, Nattapong; Tuamsuk, Kulthida – Education for Information, 2022
This article describes the development process of the Thai cultural knowledge graph, which facilitates a more precise and rapid comprehension of the culture and customs of Thailand. The construction process is as follows: First, data collection technologies and techniques were used to obtain text data from the Wikipedia encyclopedia about cultural…
Descriptors: Foreign Countries, Graphs, Data Collection, Semantics
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Ekkens, Tom – Physics Teacher, 2022
In many introductory physics classes, diffraction of light is introduced first, then more advanced diffraction topics such as x-ray diffraction, Bragg's law, and crystallography are covered. Since using x-rays raises safety concerns and atomic spacing in a crystal is not easy to change, microwaves with macroscopic crystals have been used to study…
Descriptors: Data Collection, Physics, Science Education, Introductory Courses
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Arnold, Karen D.; Owen, Laura; Lewis, Jonathan – Journal of College Access, 2020
Making college access and success more equitable at a national scale requires alternatives to intensive in-person modes of pre-college advising. Text-message advising campaigns are a promising intervention model for delivering college application and financial aid assistance affordably to large populations of college-intending, low-income…
Descriptors: Academic Advising, Telecommunications, Handheld Devices, College Bound Students
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Kwet, Michael; Prinsloo, Paul – Teaching in Higher Education, 2020
This article examines developments in the 'smart classroom' as a new frontier for the university. It provides a conceptual map of the scope and limitations of smart classrooms, contextualized to smart university initiatives. First, it introduces the notion of 'smart' technology in cities, campuses, and classrooms. Next, it examines how the smart…
Descriptors: Educational Technology, Classroom Environment, Educational Equipment, College Environment
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Hodges, Jaret – Journal of Advanced Academics, 2020
State databases offer researchers the opportunity to conduct research using data collected by states. These databases contain financial, demographic, and accountability data. Accessing and acquiring data from these repositories, though, can offer challenges to scholars interested in conducting research. This brief describes the type of data…
Descriptors: Data Collection, Data Use, Educational Research, Gifted Education
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Viano, Samantha; Baker, Dominique J. – Review of Research in Education, 2020
Measuring race and ethnicity for administrative data sets and then analyzing these data to understand racial/ethnic disparities present many logistical and theoretical challenges. In this chapter, we conduct a synthetic review of studies on how to effectively measure race/ethnicity for administrative data purposes and then utilize these measures…
Descriptors: Data Collection, Data Analysis, Racial Identification, Ethnicity
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