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Showing 1 to 15 of 102 results Save | Export
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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
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James J. Pomykalski – Information Systems Education Journal, 2023
Blended learning, which is the "thoughtful fusion of face-to-face and online learning experiences" (Garrison & Vaughan, 2008), is a pedagogical paradigm used in courses across numerous disciplines. In this paper, the use of LinkedIn Learning modules as the primary technological component is described; the focus of this first-time use…
Descriptors: Social Media, Blended Learning, Teaching Methods, Learning Modules
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Mark Sena; Thilini Ariyachandra – Information Systems Education Journal, 2024
The Titanic disaster is a topic that continues to fascinate. As the importance of analytics continues to grow in industry, data literacy skills have become increasingly important in business education. This project allows students to use the passenger data from the Titanic to build their data literacy skills using an engaging, experiential topic.…
Descriptors: Literacy, Teaching Methods, Experiential Learning, Business Education
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Chen Zhong; J. B. Kim – Journal of Information Systems Education, 2024
Data Analytics has emerged as an essential skill for business students, and several tools are available to support their learning in this area. Due to the students' lack of programming skills and the perceived complexity of R, many business analytics courses employ no-code analytical software like IBM SPSS Modeler. Nonetheless, generative…
Descriptors: Business Education, Regression (Statistics), Programming, Artificial Intelligence
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Bo Pei; Ying Cheng; Alex Ambrose; Eva Dziadula; Wanli Xing; Jie Lu – Smart Learning Environments, 2024
The availability of large-scale learning data presents unprecedented opportunities for investigating student learning processes. However, it is challenging for instructors to fully make sense of this data and effectively support their teaching practices. This study introduces LearningViz, an interactive learning analytics dashboard to help…
Descriptors: Learning Analytics, Learning Management Systems, Computer Uses in Education, Educational Technology
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Kim, Brian; Henke, Graham – Journal of Statistics and Data Science Education, 2021
One of the biggest hurdles of teaching data science and programming techniques to beginners is simply getting started with the technology. With multiple versions of the same coding language available (e.g., Python 2 and Python 3), various additional libraries and packages to install, as well as integrated development environments to navigate, the…
Descriptors: Computer Software, Data Analysis, Programming Languages, Computer Science Education
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Hongyu Liu; Young Chun Ko – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the development of the information age, the quality of physical education teaching in universities has become an important goal of teaching reform. Improving the quality of physical education and significantly improving students' physical fitness is one of the development goals of higher education. Therefore, this article proposes an…
Descriptors: Physical Education, Higher Education, Educational Quality, Educational Improvement
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Rosenburg, Joshua; Edwards, Alex; Chen, Bodong – Science Teacher, 2020
Analyzing and interpreting data is essential to the practice of scientists and is also an essential science and engineering practice for science teaching and learning. Although working with data has benefits for student learning, it is also challenging, particularly with respect to aspects of work with data that are not yet very common in schools,…
Descriptors: Science Instruction, Data Analysis, Teaching Methods, Data Collection
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Li, Yuyao; Akram, Aftab; Tang, Yong – International Journal of Information and Communication Technology Education, 2022
The application of information technology (IT) in education has opened new scenarios for this ancient process. With the rapidly changing field of IT, the adoption of IT in education has been changed drastically. It is quite difficult for researchers to keep pace with changing research trends. An analysis based on the keywords could provide a…
Descriptors: Comparative Analysis, Information Retrieval, Information Technology, Trend Analysis
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Hanbing Xue; Weishan Liu – SAGE Open, 2025
The application of natural language processing (NLP) technology in the field of education has attracted considerable attention. This study takes 716 articles from the Web of Science database from 1998 to 2023 as its research sample. Using bibliometrics as the theoretical foundation, and employing methods such as literature review and knowledge…
Descriptors: Bibliometrics, Natural Language Processing, Technology Uses in Education, Educational Trends
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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
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Montoya, Diana; Vargas, Jorge Eduardo Hincapie; Sanchez Giraldo, Jonathan; Hincapié, Natalia Correa – Journal of Educators Online, 2020
This article presents the design of a pedagogical method to produce interactive learning objects that allow users to learn about new statistical process control techniques, such as Data Mining, in order to address the curricular needs of college students enrolled in academic programs related to quality engineering. Acquiring skills in this type of…
Descriptors: Resource Units, Teaching Methods, Data Analysis, Technology Uses in Education
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Pei Wang – International Journal of Information and Communication Technology Education, 2024
In today's university era, reforming the English teaching model has become a major research topic for researchers. Based on this, this paper adopts a hierarchical and progressive model construction method to further explore the reform model of university English teaching in the context of educational ecology. First, this paper discusses the…
Descriptors: English (Second Language), Second Language Instruction, Educational Change, Change Strategies
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Ronghuai Huang; Dejian Liu; Asha Singh Kanwar; Tao Zhan; Junfeng Yang; Rongxia Zhuang; Mengyu Liu; Zhisheng Li; Michael Agyemang Adarkwah – Open Praxis, 2024
This research delves into the global understanding of smart education from various perspectives, including expert viewpoints, policy dimensions, public datasets, and visions of equity and inclusion. Multiple webinars have revealed that the concept of smart education with a shared vision of quality education in the age of AI is being understood by…
Descriptors: Educational Policy, Global Approach, Comparative Education, Technology Uses in Education
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Werning, Stefan – Journal of Media Literacy Education, 2020
This article explores how making data playable, i.e. developing exploratory co-creation techniques that use elements of play and games to interpret small to mid-sized datasets beyond the current focus on visual evidence, can help a) promote creative data literacy in higher education, and b) expand existing definitions of data literacy. The article…
Descriptors: Play, Data Interpretation, Creativity, Data Analysis
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