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Mastro, Oriana Skylar – Journal of Political Science Education, 2021
Students and instructors alike have lamented the nature of methods instruction in political science curricula. Existing research has presented a number of innovative approaches to engage students in this important learning enterprise, from blogging and simulations to data visualization and the use of clickers. This article builds upon this…
Descriptors: Teaching Methods, Public Policy, Data Analysis, Policy Analysis
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Nahar, Khaledun; Shova, Boishakhe Islam; Ria, Tahmina; Rashid, Humayara Binte; Islam, A. H. M. Saiful – Education and Information Technologies, 2021
Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…
Descriptors: Learning Analytics, College Students, Engineering Education, Data Collection
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Kaleli Yilmaz, Gül; Yurtyapan, Mehmet Ihsan – International Online Journal of Education and Teaching, 2021
The aim of this study is to examine the graphic reading and interpretation skills of teacher candidates with problem situations prepared in the context of the COVID-19 pandemic, which is a socio-scientific situation. The study is conducted with case study of qualitative research methods. The participants of the study consisted of 52 elementary…
Descriptors: Preservice Teachers, Preservice Teacher Education, Elementary School Teachers, Mathematics Teachers
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Adams, Bryan; Baller, Daniel; Jonas, Bryan; Joseph, Anny-Claude; Cummiskey, Kevin – Journal of Statistics and Data Science Education, 2021
Since the publishing of Nolan and Temple Lang's "Computing in the Statistics Curriculum" in 2010, the American Statistical Association issued new recommendations in the revised GAISE college report. To reflect modern practice and technologies, they emphasize giving students experience with multivariable thinking. Students develop…
Descriptors: Multivariate Analysis, Statistics Education, Teaching Methods, Thinking Skills
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Hsiao, I-Han, Ed.; Sahebi, Shaghayegh, Ed.; Bouchet, Francois, Ed.; Vie, Jill-Jenn, Ed. – International Educational Data Mining Society, 2021
For this 14th iteration of the International Conference on Educational Data Mining (EDM 2021), the conference was held completely online. EDM is organized under the auspices of the International Educational Data Mining Society and was meant to happen in Paris, France. The official theme of this year's conference was Shifting Landscape of…
Descriptors: Blended Learning, Distance Education, Learning Analytics, Educational Technology
Fullerton, Jon – American Enterprise Institute, 2021
Over the past two decades, education underwent a "big data" revolution as states began tracking individual student performance and interim assessments and educational software allowed for a greater granularity of data on students, teachers, and schools. Despite this plethora of new data, considerable gaps in data on early childhood…
Descriptors: Academic Achievement, Learning Analytics, Computer Software, Educational Policy
National Coalition on School Diversity, 2021
The benefits of attending diverse schools accrue to children from all racial and socioeconomic backgrounds. The benefits include, but are not limited to, higher academic achievement. These gains continue into adulthood, leading to higher levels of social cohesion and civic engagement; reduced racial prejudice; and less segregation in…
Descriptors: School Desegregation, Elementary Secondary Education, Educational Policy, Diversity (Institutional)
Early Childhood Technical Assistance Center, 2021
This document includes guidance, considerations, and resources for state staff and local practitioners who are determining Preschool Special Education eligibility remotely, due in part to COVID-19. To accomplish this, many states are now exploring a variety of approaches such as teleconference, videoconference, and sharing information and video…
Descriptors: Eligibility, Preschool Education, Special Education, Identification
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
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Jing Liu; Julie Cohen – Educational Evaluation and Policy Analysis, 2021
Valid and reliable measurements of teaching quality facilitate school-level decision-making and policies pertaining to teachers. Using nearly 1,000 word-to-word transcriptions of fourth- and fifth-grade English language arts classes, we apply novel text-as-data methods to develop automated measures of teaching to complement classroom observations…
Descriptors: Grade 4, Grade 5, Language Arts, Elementary School Teachers
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Natercia Valle; Pavlo Antonenko; Kara Dawson; Anne Corinne Huggins-Manley – British Journal of Educational Technology, 2021
The advances in technology to capture and process unprecedented amounts of educational data has boosted the interest in Learning Analytics Dashboard (LAD) applications as a way to provide meaningful visual information to administrators, parents, teachers and learners. Despite the frequent argument that LADs are useful to support target users and…
Descriptors: Learning Analytics, Access to Information, Efficiency, Data Use
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Maya Usher; Arnon Hershkovitz; Alona Forkosh-Baruch – British Journal of Educational Technology, 2021
The outbreak of the COVID-19 pandemic has changed education dramatically, with the sudden shift from face-to-face to emergency remote teaching. Online learning environments may facilitate data-driven instructional process; yet, our understanding regarding data-driven decisions is still limited. This quantitative study examined types of learners'…
Descriptors: College Faculty, COVID-19, Pandemics, Distance Education
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Ambrosino, Christine M.; Rivera, Malia Ana J. – Journal of Biological Education, 2022
This high school-level, place-based, inquiry-driven laboratory module familiarises students with techniques used to analyse animal behaviour while facilitating the development of the observational skills highlighted by the Next Generation Science Standards (NGSS). Throughout the module, students observe, quantify, and discuss local invertebrate…
Descriptors: High School Students, Place Based Education, Science Instruction, Science Laboratories
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Jung, Hyunyi; Son, Ji-Won; Ji-Yeong, I – Mathematics Teacher: Learning and Teaching PK-12, 2022
Data reasoning and digital literacy skills, especially the ability to find, represent, and accurately interpret the relevant data, are critical in workplaces and lifetime experiences. Given the importance of developing data reasoning skills from learners' experiences, this article aims to describe teacher and student actions that contributed to…
Descriptors: COVID-19, Pandemics, Relevance (Education), Mathematics Instruction
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Chaturvedi, Ramesh Kumar; Verma, Vishal; Mishra, Kushendra – Smart Learning Environments, 2022
The objective of this research paper is to check the difference between pre and post-session of the Brighter Minds based Cognitive Skill Training. The exploratory and descriptive research design is used in this study. In this investigation, the nine measurement variables are selected for the study such as memory, confidence, concentration,…
Descriptors: Cognitive Ability, Memory, Self Esteem, Intuition
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