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Camillia Matuk; Ralph Vacca; Anna Amato; Megan Silander; Kayla DesPortes; Peter J. Woods; Marian Tes – Information and Learning Sciences, 2024
Purpose: Arts-integration is a promising approach to building students' abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this…
Descriptors: Middle School Teachers, Art Education, Art Teachers, Data
Yung Po Tsang; Carman Ka Man Lee; Chun Ho Wu; Yanlin Li – IEEE Transactions on Education, 2024
Contribution: This research explores the effectiveness of a proposed teaching strategy in blockchain education, finding that it enhances learning outcomes, cognitive well-being, and student engagement in tertiary education, ultimately resulting in a shallower learning curve for STEM knowledge. Background: In the context of Industry 4.0, blockchain…
Descriptors: Gamification, Experiential Learning, Cognitive Processes, Well Being
Velibor Mladenovici; Mariana Crasovan; Marian D. Ilie – Journal of Educational Sciences, 2024
Teaching conceptions in higher education, or so-called academics' conceptions of teaching (ACTs), are essential in informing teaching behaviors and influencing students' learning. Consequently, several attempts have been made since the 1990s to understand what ACTs represent and how they can be developed towards student-centered teaching. However,…
Descriptors: Concept Formation, Misconceptions, Educational Policy, Definitions
Claire Wyatt-Smith; Lenore Adie; Lois Harris – British Educational Research Journal, 2024
This paper reports results from an Australian study into how teachers see features of quality in student work and connect these to next-step teaching. Data were drawn from a national 3 year project investigating teacher judgement using A-E standards. The project developed scaled exemplars of authentic student written performance assessments to…
Descriptors: Decision Making Skills, Foreign Countries, Data Use, Grading
Marah Sutherland; David Fainstein; Taylor Lesner; Georgia L. Kimmel; Ben Clarke; Christian T. Doabler – TEACHING Exceptional Children, 2024
Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to…
Descriptors: Elementary Secondary Education, Multiple Literacies, Statistics Education, Data Analysis
Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2020
Authentic, "messy data" contain variability that comes from many sources, such as natural variation in nature, chance occurrences during research, and human error. It is this messiness that both deters potential users of authentic data and gives data the power to create unique learning opportunities that reveal the nature of science…
Descriptors: Data Analysis, Scientific Research, Science Instruction, Scientific Principles
Lynne Telesca – Language, Speech, and Hearing Services in Schools, 2024
Purpose: Writing is an essential skill that secondary students need to establish for success in their further education, careers, and lives. However, most secondary students in the United States do not achieve the level of writing proficiency expected to ensure academic and future success. One approach that is emerging more in the research…
Descriptors: Metalinguistics, Writing Instruction, Secondary School Students, Teaching Methods
Yan Sun; Jamie Dyer; Jonathan Harris – Journal of Educational Computing Research, 2024
This study was grounded in the spatial computational thinking model developed by the "3D Weather" project funded by the NSF STEM+C program. The model reflects a discipline-based perspective towards computational thinking and captures the spatial nature of computational thinking in meteorology and the reliance of computational thinking on…
Descriptors: Teaching Methods, Science Instruction, Meteorology, Weather
Wu, Pengfei; Ma, Fengjuan; Yu, Shengquan – Interactive Learning Environments, 2023
A linked data approach provides new opportunities for annotating, interlinking, sharing and enriching massive open online educational resources. However, it can be difficult for non-expert users to build and utilize the educational linked data in educational settings. Thus, flexible and user-friendly ways to represent, interlink, visualize and…
Descriptors: Art Education, Design, Undergraduate Students, Student Motivation
Franck Salles; Aurélie Lacroix – International Association for the Evaluation of Educational Achievement, 2024
Digital technologies have the potential to revolutionize education by enhancing quality, fairness, and efficiency. However, equitable access to these technologies remains a challenge. ILSAs (international large-scale assessments) have shown that the relationship between digital use and performance varies across countries and over time. To fully…
Descriptors: Achievement Tests, Elementary Secondary Education, Foreign Countries, Mathematics Tests
Chavan, Pankaj; Mitra, Ritayan – Journal of Learning Analytics, 2022
The use of online video lectures in universities, primarily for content delivery and learning, is on the rise. Instructors' ability to recognize and understand student learning experiences with online video lectures, identify particularly difficult or disengaging content and thereby assess overall lecture quality can inform their instructional…
Descriptors: Learning Analytics, Video Technology, Lecture Method, Online Courses
Wallace-Spurgin, Mekca – International Journal of Technology in Education, 2020
In an effort provide access to devices and prepare students for the future, a small rural high school committed to becoming a high-tech school. However, data collected using the IPI-T process suggested teachers were typically the users of the technology, students were often disengaged, and teachers were asking students to participate in…
Descriptors: Technology Integration, Learner Engagement, Cognitive Processes, High School Students
Galbraith, David; Vedder, Ineke – Studies in Second Language Acquisition, 2019
This special issue is devoted to describing and evaluating new methods for analyzing online writing processes in a second language (L2). As all the contributors have stated, the aim is to identify the cognitive processes underlying writing. The ultimate aim is to employ observations and experimental manipulations of these processes to build…
Descriptors: Second Language Learning, Second Language Instruction, Cognitive Processes, Writing Processes
Liu, Ran; Koedinger, Kenneth R. – Journal of Educational Data Mining, 2017
As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
Brock, Richard; Taber, Keith S. – Studies in Science Education, 2017
This paper examines the role of the microgenetic method in science education. The microgenetic method is a technique for exploring the progression of learning in detail through repeated, high-frequency observations of a learner's "performance" in some activity. Existing microgenetic studies in science education are analysed. This leads…
Descriptors: Teaching Methods, Science Education, Observation, Data Collection

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