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Ludovica Mastrobattista; María Muñoz-Rico; José Antonio Cordón-García – Journal of Technology and Science Education, 2024
The main objective of this article is to highlight the importance of training in digital tools at the university level to foster the development of innovative and efficient data analysis from a scientific perspective. In an increasingly digitised world, the acquisition of digital skills has become a fundamental requirement for success in various…
Descriptors: Digital Literacy, Data Analysis, Computer Software, Computer Uses in Education
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Mayer, Benjamin; Kuemmel, Anja; Meule, Marianne; Muche, Rainer – Journal of Statistics and Data Science Education, 2023
Teaching practical skills is of particular interest in the study of human medicine. With regard to medical statistics this means the use of statistical software, which may be effectively taught by a flipped classroom approach. As a pilot study, we designed and implemented an elective course on medical statistics that focused on hands-on data…
Descriptors: Computer Software, Medicine, Statistics, Flipped Classroom
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Mohsina Kamarudeen; K. Vijayalakshmi – International Society for Technology, Education, and Science, 2023
This paper presents a mobile application aimed at enhancing the financial literacy of college students by monitoring their spending patterns and promoting better decision-making. The application is developed using the agile methodology with Android Studio and Flutter as development tools and Firebase as a database. The app is divided into…
Descriptors: Money Management, Computer Software, Financial Literacy, Telecommunications
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Wonkyung Choi; Jun Jo; Geraldine Torrisi-Steele – International Journal of Adult Education and Technology, 2024
Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…
Descriptors: College Students, Data Analysis, Data Collection, Learning Analytics
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Schwab-McCoy, Aimee; Baker, Catherine M.; Gasper, Rebecca E. – Journal of Statistics and Data Science Education, 2021
In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new students, the road map for teaching data science remains elusive. In 2019, 69 college and university faculty teaching data science courses and…
Descriptors: Statistics Education, Higher Education, College Students, Teaching Methods
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Aydin, Gökhan; Duran, Volkan; Mertol, Hüseyin – International Journal of Curriculum and Instruction, 2021
This study aims to develop a computer program for the identification key to insect orders (Arthropoda: Hexapoda) and to investigate its effectiveness as teaching material. Secondly, this study is aiming at whether this program improves students' computational thinking skills or not longitudinal quasi-experimental design. Firstly, the study is…
Descriptors: Computer Software, Identification, Entomology, Computation
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Guerra, Julio; Ortiz-Rojas, Margarita; Zúñiga-Prieto, Miguel Angel; Scheihing, Eliana; Jiménez, Alberto; Broos, Tom; De Laet, Tinne; Verbert, Katrien – British Journal of Educational Technology, 2020
Despite the success of academic advising dashboards in several higher educational institutions (HEI), these dashboards are still under-explored in Latin American HEI's. To close this gap, three different Latin American universities adapted an existing advising dashboard, originally deployed at the KU Leuven to their own context. In all three…
Descriptors: Academic Advising, Management Systems, Universities, Decision Making
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Serrano-Estrada, Leticia; Martin, Tania Josephine; Marti, Pablo – Journal of Geography in Higher Education, 2023
Research that tackles the pedagogical use of geolocated social media as an investigative tool for understanding cities in Geography and Urban Studies higher education programs has not been fully exploited. This study contributes by addressing the transferability of these sources as a research medium for enhancing student knowledge of urban…
Descriptors: Foreign Countries, Geographic Regions, Social Media, Urban Areas
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Thontirawong, Pipat; Chinchanachokchai, Sydney – Marketing Education Review, 2021
In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…
Descriptors: Marketing, Artificial Languages, Career Development, Time Management
Hiljazi, Sam; Curtis, Trevor – Association Supporting Computer Users in Education, 2018
Asking questions about your data is a constant application of all business organizations. To facilitate decision making and improve business performance, a business intelligence application must be an integral part of everyday management practices. Microsoft Excel added PowerPivot and PowerPivot officially to facilitate this process with minimum…
Descriptors: Introductory Courses, Business Administration Education, Business Skills, Spreadsheets
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Maruyama, Yukiko – International Association for Development of the Information Society, 2019
This paper presents the results of an attempt to analyze the benefits and risks of information and communication technologies (ICTs) and their applications, as perceived by university students. A survey was conducted using questionnaire with a free descriptive answering format. Responses were analyzed via text mining and correspondence analysis;…
Descriptors: Risk, Computer Software, College Students, Student Attitudes
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Kalpokaite, Neringa; Radivojevic, Ivana – International Journal of Research & Method in Education, 2020
In today's world of pervasive technology use, online education is rapidly growing. Online learning environments offer a multitude of benefits for both learners and teachers, as there are substantially more accessible and affordable. The present research focuses on teaching the use of qualitative data analysis software (CAQDAS) to researchers.…
Descriptors: Instructional Effectiveness, Data Analysis, Computer Software, Conventional Instruction
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Marachi, Roxana; Quill, Lawrence – Teaching in Higher Education, 2020
The Canvas Learning Management System (LMS) is used in thousands of universities across the United States and internationally, with a strong and growing presence in K-12 and higher education markets. Analyzing the development of the Canvas LMS, we examine 1) 'frictionless' data transitions that bridge K12, higher education, and workforce data 2)…
Descriptors: Management Systems, Longitudinal Studies, Data Analysis, Higher Education
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Friedman, Alon – Education for Information, 2019
Peer-review software is often used to allow authors to evaluate their code and its technical text content. In education, peer review is a common practice used not only to evaluate the quality of academic research but also to measure students' engagement in the classroom. In visualization education, numerous researchers have addressed techniques of…
Descriptors: Case Studies, Computer Software, Peer Evaluation, Writing (Composition)
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Jones, Kyle M. L.; McCoy, Chase – Learning, Media and Technology, 2019
In this article, we argue that the contributions of documentation studies can provide a useful framework for analyzing the datafication of students due to emerging learning analytics (LA) practices. Specifically, the concepts of individuals being 'made into' data and how that data is 'considered as' can help to frame vital questions concerning the…
Descriptors: Data Analysis, Documentation, Guidelines, Data Collection
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