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Yixun Xing – Teaching Statistics: An International Journal for Teachers, 2024
Generative artificial intelligence (AI) has shown the potential to reshape the world and redefine daily workflows. One specific instance of generative AI, ChatGPT, specializes in understanding natural language and generating human-like conversational text. Its free access, user-friendly interface, and instant feedback have propelled its popularity…
Descriptors: Artificial Intelligence, Synchronous Communication, Statistics, Data Analysis
Identifying the Content, Lesson Structure, and Data Use within Pre-Collegiate Data Science Curricula
Lee, Victor R.; Delaney, Victoria – Journal of Science Education and Technology, 2022
As data become more available and integrated into daily life, there has been growing interest in developing data science curricula for youth in conjunction with scientific practices and classroom technologies. However, the "what" and "how" of data science in pre-collegiate education have not yet reached consensus. This paper…
Descriptors: Data, Data Analysis, Curriculum Development, Educational Practices
Ritchie, William J.; Kerski, Joseph; Novoa, Luis J.; Tokman, Mert – Decision Sciences Journal of Innovative Education, 2023
This teaching brief explores how and why location analytics should be taught in business schools using three objectives. First, an explanation is provided for the importance of including location analytics in the standard business school curriculum--especially in the field of supply chain management. Second, a lack of GIS-based location analytics…
Descriptors: Supply and Demand, Information Management, Geographic Information Systems, Data Analysis
Euler, Elias; Gregorcic, Bor – Physical Review Physics Education Research, 2023
Qualitative studies in the domain of physics education research have become more common in the last several decades. Methodologically, this has been marked by an expansion of the types of data collected in physics education research (PER): namely, in the use of individual and group interviews, problem-solving sessions, and classroom…
Descriptors: Physics, Science Instruction, Teaching Methods, Visual Aids
Davies, Neville; Sheldon, Neil – Teaching Statistics: An International Journal for Teachers, 2021
In 2003, Holmes [The Statistician 52, Part 4, (2003), 439-474] reviewed 50 years of teaching statistics in English schools and drew out many lessons for more effective teaching. We consider the current relevance of several of these lessons and whether we have learned from them. Many national reports have been published about teaching statistics…
Descriptors: Statistics Education, Data Analysis, Interdisciplinary Approach, Foreign Countries
Hoek, Lianne; Munniksma, Anke; Dijkstra, Anne Bert – Journal of Social Science Education, 2022
Purpose: Scholars are increasingly paying attention to the characteristics of effective citizenship education. The systematic use of data to maximise student learning, also called an output-driven approach, is often presented as a powerful predictor of student outcomes. However, its effectiveness has not been studied in citizenship education.…
Descriptors: Teaching Methods, Citizenship Education, Instructional Effectiveness, Measurement Techniques
Aledo, Juan C. – Biochemistry and Molecular Biology Education, 2021
We are living in the Big Data era, and yet we may have serious troubles when dealing with a handful of kinetic data if we are not properly instructed. The aim of this paper, related to enzyme kinetics, is to illustrate how to determine the K[subscript m] and V[subscript max] of a michaelian enzyme avoiding the pitfalls in which we often fall. To…
Descriptors: Biochemistry, Science Instruction, Teaching Methods, Reliability
Reid, Joshua W.; Quinn, Candice M.; Jia, Zhigang; Jones, Ryan Seth; Grinath, Anna – Journal of College Science Teaching, 2021
Data modeling practices are often invisible to students in introductory biology courses. However, developing a well-rounded understanding of these practices is critical for scientific literacy. Furthermore, introductory undergraduate science laboratory courses are often taught by graduate students or novice instructors with little autonomy,…
Descriptors: Educational Change, Data Analysis, Models, Introductory Courses
De Veaux, Richard; Hoerl, Roger; Snee, Ron; Velleman, Paul – Statistics Education Research Journal, 2022
Holistic data science education places data science in the context of real world applications, emphasizing the purpose for which data were collected, the pedigree of the data, the meaning inherent in the data, the deploying of sustainable solutions, and the communication of key findings for addressing the original problem. As such it spends less…
Descriptors: Holistic Approach, Data Analysis, Statistics Education, Teaching Methods
Saadia, Drissi – International Journal of Web-Based Learning and Teaching Technologies, 2021
Cloud computing, internet of things (IoT), artificial intelligence, and big data are four very different technologies that are already discussed separately. The use of the four technologies is required to be more and more necessary in the present day in order to make them important components in today's world technology. In this paper, the authors…
Descriptors: Teaching Methods, Computer Science Education, Computer Software, Artificial Intelligence
Cardona Zapata, Mónica Eliana; López Ríos, Sonia – Technology, Knowledge and Learning, 2022
Experimental activity in the physics teaching can be considered as a space in which teachers create contexts for students to approach the way scientific knowledge is constructed. In this sense, the strategies for the integration of Information and Communication Technologies (ICT) in the context of science education, has a wide potential to guide…
Descriptors: Physics, Science Instruction, Teaching Methods, Visual Aids
Deng, Tao; Kim, Hyejin; Uysal, Nur – Journal of Advertising Education, 2023
This paper explores the potential of a collaborative research laboratory to enhance advertising education by catalyzing student learning, engagement, and faculty interaction. By offering a comprehensive blueprint through this lab, we illuminate how institutions can leverage the benefits of such labs through immersing students in practical consumer…
Descriptors: Advertising, Professional Education, Teaching Methods, Faculty Workload
Sefton-Green, Julian; Pangrazio, Luci – Educational Philosophy and Theory, 2022
Amidst ongoing technological and social change, this article explores the implications for critical education that result from a data-driven model of digital governance. The article argues that traditional notions of critique which rely upon the deconstruction and analysis of texts are increasingly redundant in the age of datafication, where the…
Descriptors: Data Analysis, Governance, Educational Philosophy, Barriers
Janis Leinfuss; Erin O'Hara – Journal of Occupational Therapy, Schools & Early Intervention, 2024
Educational inclusion aims to support all students through instructional and contextual designs that promote learning. Educators are assigned the task of teaching an increasingly neurodiverse population with varying neurological processes and perceptions. Traditional school-based settings are designed for individuals with less neurodivergence,…
Descriptors: Students with Disabilities, Neurodevelopmental Disorders, Educational Practices, Inclusion
Ferreira, Giselle Martins dos Santos; Rosado, Luiz Alexandre da Silva; Lemgruber, Márcio Silveira; Carvalho, Jaciara de Sá – Learning, Media and Technology, 2020
This article discusses issues concerning the spread of data-driven educational technologies in Brazil. Here, as elsewhere, educational technology continues to be promoted optimistically as the bearer of a panacea for historically-rooted social problems. Whilst some of these technologies have indeed contributed to important widening-participation…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Innovation