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Chelsey Legacy; Andrew Zieffler; V. N. Vimal Rao; Robert Delmas – Statistics Education Research Journal, 2025
As ideas from data science become more prevalent in secondary curricula, it is important to understand secondary teachers' content knowledge and reasoning about complex data structures and modern visualizations. The purpose of this case study is to explore how secondary teachers make sense of mappings between data and visualizations, especially…
Descriptors: Secondary School Teachers, Visualization, Data, Data Use
Representing DNA for Machine Learning Algorithms: A Primer on One-Hot, Binary, and Integer Encodings
Yash Munnalal Gupta; Satwika Nindya Kirana; Somjit Homchan – Biochemistry and Molecular Biology Education, 2025
This short paper presents an educational approach to teaching three popular methods for encoding DNA sequences: one-hot encoding, binary encoding, and integer encoding. Aimed at bioinformatics and computational biology students, our learning intervention focuses on developing practical skills in implementing these essential techniques for…
Descriptors: Science Instruction, Teaching Methods, Genetics, Molecular Biology
Rick A. Hudson; Gemma F. Mojica; Hollylynne S. Lee; Stephanie Casey – Computers in the Schools, 2025
Innovative dynamic data tools afford opportunities for K-12 students and teachers to explore multivariate data and create linked data representations. These tools also support engagement in data moves, which are transnumerative actions to process, organize, and visualize data. The current study sought to understand how prospective K-12 mathematics…
Descriptors: Statistics Education, Visualization, Data Science, Preservice Teachers
Madison Fansher; Logan Walls; Chenxu Hao; Hari Subramonyam; Aysecan Boduroglu; Priti Shah; Jessica K. Witt – Cognitive Research: Principles and Implications, 2025
In contexts where people lack prior knowledge and risk awareness--such as the COVID-19 pandemic--even truthful visualizations of data can seem surprising. This can lead people to mistrust the veracity of the data and to discount it, leading to poor risk decisions. In this work, we illustrate how narrative visualizations can achieve a balance…
Descriptors: Visualization, Trust (Psychology), Data, Credibility
John Levendis; Nuwan Indika – Decision Sciences Journal of Innovative Education, 2025
Business analytics is a fast-growing field that requires a combination of technical, analytical, and communication skills. This article aims to identify the most sought after skills for business analytics jobs based on a content analysis of over 2600 online job postings. The results show that the top skills include analytics, communication,…
Descriptors: Business Skills, Data Analysis, Content Analysis, Occupational Information
Ali Ardalan – Decision Sciences Journal of Innovative Education, 2025
In response to a large backlog of demand for data analytics expertise, universities are adding analytics courses and/or programs. Data visualization and exploration are among the pillars of the analytics curriculum and should be included in analytics programs. This article presents the philosophy, structure, and content of a data visualization and…
Descriptors: Models, Data Analysis, Visualization, Statistics Education
Geoffroy P. J. C. Noel; Isabella Xiao; Maher Chaouachi; Alexandru Ilie; Jeremy O'Brien; Sean C. McWatt – Anatomical Sciences Education, 2025
Mixed reality (MR) offers a way to visualize and manipulate complex digital objects in three dimensions, which is particularly beneficial for human anatomy. However, implementing MR effectively requires a deep understanding of its effects on cognitive processes. The purpose of this study was to evaluate cognitive markers of students' engagement…
Descriptors: Cognitive Processes, Difficulty Level, Medical Students, Trainees
Mikyung Shin; Jiyeon Park – Society for Research on Educational Effectiveness, 2025
Background: A single-case design focuses on individual performance and measures the causal relationships between variables (Kazdin, 2019). This experimental design enables researchers to measure the learning behaviors of individual participants over time across phases and assess the effectiveness of an instructional strategy in improving or…
Descriptors: Causal Models, Statistical Inference, Statistical Data, Research Design
Brandin Conrath; Amy Voss Farris; Scott McDonald – Journal of Science Education and Technology, 2025
The changing landscape of geoscience learning has initiated growing interest in engaging science learners with climate data. One approach to teaching climate is the application of broadly accessible digital science curricula, which often include data tools such as visualizations, data representations, and simulations embedded within digital…
Descriptors: Earth Science, Wildlife, Science Education, Climate

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