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Blair, Morgan; Zanidean, Alex – Strategic Enrollment Management Quarterly, 2020
Data interpretation can be difficult. Data visualization techniques from the manufacturing industry make interpretation easier. Control charts display trends in context, so it is clear when performance is truly changing and when it is not. Decision makers know when to act, when to maintain, and when to celebrate. This article discusses the use of…
Descriptors: Enrollment Management, Decision Making, Data Interpretation, Visualization
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Blanke, Tobias; Colavizza, Giovanni; van Hout, Zarah – Education for Information, 2023
The article presents an open educational resource (OER) to introduce humanities students to data analysis with Python. The article beings with positioning the OER within wider pedagogical debates in the digital humanities. The OER is built from our research encounters and committed to computational thinking rather than technicalities. Furthermore,…
Descriptors: Open Educational Resources, Data Analysis, Programming Languages, Humanities
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Bertling, Joy G.; Hodge, Lynn; Ryba, Ericka – Art Education, 2023
With the emergence of COVID-19, public interest in data visualization has surged. Data visualizations also, importantly, raised questions related to the data and the social context in which it occurred. Extending beyond but remaining connected to COVID-19, this context involved the racial and social inequality and economic disparities brought to…
Descriptors: COVID-19, Pandemics, Data Analysis, Visual Aids
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White, Holly; Forbes, Cory T. – Journal of Geography in Higher Education, 2023
Undergraduate students may possess underdeveloped knowledge about water systems, particularly groundwater. The use of models and modeling have been employed in undergraduate classrooms to support students' learning about water. However, effective modeling requires spatial thinking skills, which undergraduate students may also need to develop.…
Descriptors: Undergraduate Students, Water, Environmental Education, College Science
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Wang, Jingyun; Shimada, Atsushi; Oi, Misato; Ogata, Hiroaki; Tabata, Yoshiyuki – Interactive Learning Environments, 2023
This study presents an ontology-based visualization support system for e-book learners which promotes both meaningful receptive learning and meaningful discovery learning. To examine the system effectiveness, two learning modes are used: (a) reception comparison mode, where at the outset learners are shown complete versions of expert-generated…
Descriptors: Visualization, Electronic Publishing, Books, Electronic Learning
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Sutton, Anthea; O'Keefe, Hannah; Johnson, Eugenie Evelynne; Marshall, Christopher – Research Synthesis Methods, 2023
The Systematic Review Toolbox aims provide a web-based catalogue of tools that support various tasks within the systematic review and wider evidence synthesis process. Identifying publications surrounding specific systematic review tools is currently challenging, leading to a high screening burden for few eligible records. We aimed to develop a…
Descriptors: Search Strategies, Automation, Evidence, Synthesis
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Sheree Rodney; Ami Mamolo – Canadian Journal of Science, Mathematics and Technology Education, 2023
This paper examines preservice teachers' experiences when they engage with tasks using dynamic technological applets to analyse data pertaining to societal issues. We examine two vignettes that discuss preservice teachers' interaction with dynamic visual representations of data related to plastic pollution and food supply. We analyse this data…
Descriptors: Preservice Teachers, Technology Uses in Education, Computer Oriented Programs, Data Analysis
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Jun Peng; Meng Sun; Bei Yuan; Cher Ping Lim; Jeroen J. G. van Merriënboer; Minhong Wang – Education and Information Technologies, 2024
Project-based learning (PjBL) has been increasingly promoted and extended to online environments to enhance the quality of higher education. However, PjBL involves complex processes requiring higher-order thinking skills, which may pose challenges to many students especially in online settings with little prompt support from teachers. The problem…
Descriptors: College Students, Thinking Skills, Cognitive Processes, Active Learning
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Yupeng Lin; Zhonggen Yu – Interactive Technology and Smart Education, 2024
Purpose: The application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing studies rarely take a perspective of educational technology application to evaluate the application of chatbots to educational contexts. This study aims to bridge the research…
Descriptors: Bibliometrics, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Nuno Verdelho Trindade; Lidia Custodio; Alfredo Ferreira; Joao Madeiras Pereira – IEEE Transactions on Learning Technologies, 2024
Ray tracing is a computer graphics technique used to produce realistic visuals by physically simulating the behavior of light. Although this technique can be described straightforwardly, fully comprehending it might be challenging. It is typically taught in the classroom using the 2-D formats, such as paper or a blackboard. We propose using…
Descriptors: Computer Simulation, Computer Graphics, Visualization, Computer Assisted Instruction
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Pelanek, Radek – Journal of Learning Analytics, 2021
In this work, we consider learning analytics for primary and secondary schools from the perspective of the designer of a learning system. We provide an overview of practically useful analytics techniques with descriptions of their applications and specific illustrations. We highlight data biases and caveats that complicate the analysis and its…
Descriptors: Learning Analytics, Elementary Schools, Secondary Schools, Educational Technology
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Schumacher, Fabian; Wilde, Matthias – European Journal of Educational Research, 2021
Professional teaching competence is significantly influenced by beliefs about teaching and learning. Prospective teachers start their teacher training with quite persistent beliefs about learning processes. These beliefs are mainly influenced by the way they experienced their own lessons as a student at school. Previous biology lessons at school…
Descriptors: Preservice Teachers, Science Teachers, Biology, Student Attitudes
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Lau, Siu-Kit; Joshi, Noopur; Pang, Ming Fai – International Journal of Art & Design Education, 2021
Visual instruction complementing verbal lectures is known to promote learning among students. In this study, the role of visual instruction in engaging learners effectively via the simplification of technical concepts was examined. Different aspects of visualisation, such as order of presenting and dimensionality, were tested to observe their…
Descriptors: Teaching Methods, Visual Aids, Design, Undergraduate Students
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Wu, Jiun-Yu; Yang, Christopher C. Y.; Liao, Chen-Hsuan; Nian, Mei-Wen – Educational Technology & Society, 2021
This methodological-theoretical synergy provides an integrative framework of learning analytics through the development of the human-and-machine symbiotic reinforcement learning. The framework intends to address the challenges of the current learning analytics model, including a lack of internal validity, generalizability, immediacy,…
Descriptors: Learning Analytics, Electronic Learning, Man Machine Systems, Artificial Intelligence
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Changpetch, Pannapa; Reid, Moya – Journal of Education for Business, 2021
Based on a statistical analysis, undergraduate business students are shown to prefer classification tree over six other standard data mining techniques. Data were collected over a 4-year period from students taking a data mining course offered at a business university in the US. The principal reason given by students for this preference is that…
Descriptors: Data Analysis, Models, Statistical Analysis, Undergraduate Students
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