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Kuz'mina, Evelina V.; P'yankova, Nina G.; Tret'yakova, Natal'ya V.; Botsoeva, Anna V. – European Journal of Contemporary Education, 2020
This paper addresses the topical issue of searching for optimum technology for fostering professional competencies in a target audience of business informatics students. The authors discuss the relevance of using the competency-based approach in the context of pedagogical goalsetting. The work describes the key stages in a study that involved…
Descriptors: Data Analysis, Competency Based Education, Information Science Education, Career Readiness
Hassad, Rossi A. – Statistics Education Research Journal, 2020
Training programs for statisticians and data scientists in healthcare should give greater importance to fostering inductive reasoning toward developing a mindset for optimizing Big Data. This can complement the current predominant focus on the hypothetico-deductive reasoning model, and is theoretically supported by the constructivist philosophy…
Descriptors: Statistics, Data Analysis, Data Collection, Logical Thinking
Shreiner, Tamara L. – Information and Learning Sciences, 2020
Purpose: Data literacy -- the ability to read, analyze, interpret, evaluate and argue with data and data visualizations -- is an essential competency in social studies. This study aims to examine the degree to which US state standards require teachers to teach data literacy in social studies, addressing the questions: to what extent are US social…
Descriptors: Data, Information Literacy, State Standards, Data Analysis
Data Quality Campaign, 2020
This year saw unprecedented disruptions to schools and to students' lives across the country. With a global pandemic shutting school doors, causing economic instability, and highlighting the impact of systemic racism, policymakers and education leaders are looking to data to help them respond and recover. The Data Quality Campaign's 2020 research…
Descriptors: Data Use, Data Collection, COVID-19, Pandemics
Bertrand Schneider; Joseph Reilly; Iulian Radu – Journal for STEM Education Research, 2020
In an increasingly data-driven world, large volumes of fine-grained data are infiltrating all aspects of our lives. The world of education is no exception to this phenomenon: in classrooms, we are witnessing an increasing amount of information being collected on learners and teachers. Because educational practitioners have so much contextual and…
Descriptors: Learning Analytics, Classroom Techniques, Multimedia Materials, Graduate Students
Marguerite Roza; Lucy Hadley; Hannah Jarmolowski – National Comprehensive Center, 2020
Our nation spends approximately $650 billion per year on our K-12 education system. To understand how those dollars impact students, we need to examine spending where it reaches them: at the school level. The document, developed by the National Center, describes a national data archive that uses all elements of Interstate Financial Reporting (IFR)…
Descriptors: Educational Finance, Expenditure per Student, Elementary Secondary Education, Archives
Zhu, Mengxiao; Zhang, Mo; Deane, Paul – ETS Research Report Series, 2019
The research on using event logs and item response time to study test-taking processes is rapidly growing in the field of educational measurement. In this study, we analyzed the keystroke logs collected from 761 middle school students in the United States as they completed a persuasive writing task. Seven variables were extracted from the…
Descriptors: Keyboarding (Data Entry), Data Collection, Data Analysis, Writing Processes
Ozyurt, Ozcan – Education and Information Technologies, 2023
This study presents topic modeling based bibliometric characteristics of the articles related to the flipped classroom. The corpus of the study consists of 2959 articles published in the Scopus database as of the end of 2021. In addition to the bibliometric characteristics of the field, research interests and trends were also revealed with the…
Descriptors: Bibliometrics, Educational Research, Educational Trends, Flipped Classroom
Guleria, Pratiyush; Sood, Manu – Education and Information Technologies, 2023
Machine Learning concept learns from experiences, inferences and conceives complex queries. Machine learning techniques can be used to develop the educational framework which understands the inputs from students, parents and with intelligence generates the result. The framework integrates the features of Machine Learning (ML), Explainable AI (XAI)…
Descriptors: Artificial Intelligence, Career Counseling, Data Analysis, Employment Potential
Vallée, Etienne; Hsu, Yu-Chang – TechTrends: Linking Research and Practice to Improve Learning, 2023
The adoption by the African Union of its Convention on Cyber Security and Personal Data Protection in 2014 represented a step forward to protect personal data and to ensure that data remain private and secure. This is especially important for students, who often have no autonomy in the educational technology they use. Students cannot choose why…
Descriptors: Privacy, Information Security, Data Collection, Student Records
Stewart, Bonnie E. – Contemporary Educational Technology, 2023
This paper is a critical case study tracing the professional history of a self-professed open educator over more than two decades. It frames the narrative of an individual as a window on the broader arc of the field, from early open learning as a means of widening participation, through the rise of the participatory web at scale, to the current…
Descriptors: Internet, Privacy, Open Education, Higher Education
Vykopal, Jan; Seda, Pavel; Svabensky, Valdemar; Celeda, Pavel – IEEE Transactions on Learning Technologies, 2023
Hands-on computing education requires a realistic learning environment that enables students to gain and deepen their skills. Available learning environments, including virtual and physical laboratories, provide students with real-world computer systems but rarely adapt the learning environment to individual students of various proficiency and…
Descriptors: Students, Educational Technology, Computer Assisted Instruction, Media Adaptation
Ulitzsch, Esther; Lüdtke, Oliver; Robitzsch, Alexander – Educational Measurement: Issues and Practice, 2023
Country differences in response styles (RS) may jeopardize cross-country comparability of Likert-type scales. When adjusting for rather than investigating RS is the primary goal, it seems advantageous to impose minimal assumptions on RS structures and leverage information from multiple scales for RS measurement. Using PISA 2015 background…
Descriptors: Response Style (Tests), Comparative Analysis, Achievement Tests, Foreign Countries
Tenison, Caitlin; Sparks, Jesse R. – Large-scale Assessments in Education, 2023
Background: Digital Information Literacy (DIL) refers to the ability to obtain, understand, evaluate, and use information in digital contexts. To accurately capture various dimensions of DIL, assessment designers have increasingly looked toward complex, interactive simulation-based environments that afford more authentic learner performances.…
Descriptors: Students, Search Strategies, Student Behavior, Simulation
An Environmental Scan of Fatalities Involving Canadian Minors Engaged in Outdoor Learning Activities
Ritchie, Stephen D.; Priest, Simon; Jackson, Jeff – Journal of Outdoor and Environmental Education, 2023
The purpose of our study was to systematically compile fatality data in Canada involving minors in school and youth groups engaged in outdoor learning, and then compare these incidents to other available data related to risk of fatalities, fatality rates, patterns, and contributory causes. This mixed methods study involved collecting fatality data…
Descriptors: Foreign Countries, Children, Adolescents, Outdoor Education

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