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Eva Reimers – British Journal of Religious Education, 2025
Starting with the question of why there is so much religiously motivated resistance against compulsory sex education, this article explores and discusses entanglements of norms about sexuality, gender, and religion in education. Based on predominantly Swedish data, the aim of the paper is to offer perspectives on connections between religiosity…
Descriptors: Sex Education, Role of Religion, Resistance (Psychology), Compulsory Education
Matt Giani; Madison E. Andrews; Tasneem Sultana; Fortunato Medrano – Annenberg Institute for School Reform at Brown University, 2025
This study examines College and Career Readiness (CCR) policy implementation through the lens of "decoupling." We investigate how high schools have jointly implemented Career and Technical Education (CTE) and Industry-Based Certifications (IBCs), and whether there is evidence of "curricular-credential decoupling" via…
Descriptors: Educational Policy, Credentials, High Schools, Data
Qiling Wu; Annemarie H. Hindman – Child & Youth Care Forum, 2025
Research indicates that parents' involvement in early literacy, particularly through book reading, matters for young children's language and literacy development. OBJECTIVE: However, little is known about the nature and extent of family book reading across the U.S. nation or about which factors support parents' involvement in book reading. In…
Descriptors: Kindergarten, Family Environment, Parents, Reading Habits
Liang Zhang; Jionghao Lin; John Sabatini; Conrad Borchers; Daniel Weitekamp; Meng Cao; John Hollander; Xiangen Hu; Arthur C. Graesser – IEEE Transactions on Learning Technologies, 2025
Learning performance data, such as correct or incorrect answers and problem-solving attempts in intelligent tutoring systems (ITSs), facilitate the assessment of knowledge mastery and the delivery of effective instructions. However, these data tend to be highly sparse (80%90% missing observations) in most real-world applications. This data…
Descriptors: Artificial Intelligence, Academic Achievement, Data, Evaluation Methods
Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Ali Ardalan – Decision Sciences Journal of Innovative Education, 2025
In response to a large backlog of demand for data analytics expertise, universities are adding analytics courses and/or programs. Data visualization and exploration are among the pillars of the analytics curriculum and should be included in analytics programs. This article presents the philosophy, structure, and content of a data visualization and…
Descriptors: Models, Data Analysis, Visualization, Statistics Education
Kim Schildkamp; Anders Ruud Fosnæs; Yngve Lindvig; Jarl Inge Wærness – Journal of Professional Capital and Community, 2025
Purpose: Specific forms of data use in schools, particularly those that involve students in interpreting and utilizing the data about themselves, are gaining recognition. This exploratory qualitative study focused on students' involvement in the use of data coming from a national survey. Design/methodology/approach: In three best-practice schools,…
Descriptors: Student Participation, Participative Decision Making, Data Use, Data Analysis
Luai Al Labadi; Anna Ly – Teaching Statistics: An International Journal for Teachers, 2025
In the 1990s, educators advocated for projects in statistical courses to enrich student learning. Prior research showcases the positive impact of Project-Based Learning (PBL), where students complete course-driven projects. In agreement with this perspective, we implemented PBL methodologies within two statistical courses at a North American…
Descriptors: Statistics Education, Student Projects, Active Learning, Artificial Intelligence
Burcu Koca Guler; Fulya Gokalp Yavuz – European Journal of Education, 2025
Assessing achievement is a complex task due to its dependence on multiple factors and the hierarchical structure of educational data, yet surveys like TIMSS offer valuable insights into its determining factors like students' mathematics anxiety. However, disregarding the nested structure of data and ignoring the assumptions of models causes poor…
Descriptors: Achievement Tests, Elementary Secondary Education, International Assessment, Mathematics Tests
Poling, Lisa; Weiland, Travis – Teaching Statistics: An International Journal for Teachers, 2020
With the creation of interactive tasks that allow students to explore spatial ways of knowing in conjunction with their other ways of knowing the world, we create a space where students can make sense of information as they organize these new ideas into their already existing schema. Through the use of a Common Online Data Analysis Platform…
Descriptors: Data Analysis, Data Collection, Spatial Ability, Statistics
Hitchcock, John H.; Onwuegbuzie, Anthony J. – Journal of Mixed Methods Research, 2020
Onwuegbuzie and Hitchcock (2015) provided an initial framework for conceptualizing and conducting advanced-level mixed analysis approaches. In the present article, we build on these efforts by altering the framework to focus on crossover analyses, which might help analysts see the various component steps that can go into crossover analyses and…
Descriptors: Mixed Methods Research, Models, Ethnography, Data Analysis
Manolov, Rumen; Solanas, Antonio; Sierra, Vicenta – Journal of Experimental Education, 2020
Changing criterion designs (CCD) are single-case experimental designs that entail a step-by-step approximation of the final level desired for a target behavior. Following a recent review on the desirable methodological features of CCDs, the current text focuses on an analytical challenge: the definition of an objective rule for assessing the…
Descriptors: Research Design, Research Methodology, Data Analysis, Experiments
Stenliden, Linnea; Nissen, Jörgen – Education and Information Technologies, 2022
In a world 'flooded' with data, students in school need adequate tools as Visual Analytics (VA), that easily process mass data, give support in drawing advanced conclusions and help to make informed predictions in relation to societal circumstances. Methods for how the students' insights may be reformulated and presented in 'appropriate' modes are…
Descriptors: Elementary School Students, Visual Aids, Data Analysis, Visualization
Buckner, Elizabeth; Shephard, Daniel; Smiley, Anne – Journal on Education in Emergencies, 2022
Recognizing the lack of knowledge about how to improve data systems for education in emergencies (EiE), we examine in this article how EiE professionals use data and what makes data "useful" to them. Drawing from 48 semistructured interviews from a purposive sample of professionals working in the EiE field across the humanitarian,…
Descriptors: Data Use, Emergency Programs, Professional Personnel, Attitudes
Adenle, Yusuf A.; Abdul-Rahman, Mohammed; Soyinka, Oluwole A. – International Journal of Sustainability in Higher Education, 2022
Purpose: As one of the buzzwords in the present age with considerable impacts in tertiary institutions, social media use in online teaching, learning and information dissemination have been extensively discussed in extant literature. This paper aims to explore the existing campus sustainability appraisal (CSA) tools to identify the length at which…
Descriptors: Social Media, Sustainability, Data Use, Content Analysis

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