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Gaoxia Zhu; Chew Lee Teo; Aloysius Kian-Keong Ong; Katherine Guangji Yuan; Chin Lee Ker; Yuqin Yang – Education and Information Technologies, 2025
Preparing the new generation to be data-literate citizens is a pressing challenge, and some explorations have been made to cultivate K-12 students' data science skills and attitudes. However, there is a lack of instructional models to guide the design of data science programs in K-12 due to its complex and interdisciplinary nature as well as the…
Descriptors: Data Science, Skill Development, Secondary School Students, Cooperative Learning
Noll, Jennifer; Tackett, Maria – Teaching Statistics: An International Journal for Teachers, 2023
As the field of data science evolves with advancing technology and methods for working with data, so do the opportunities for re-conceptualizing how we teach undergraduate statistics and data science courses for majors and non-majors alike. In this paper, we focus on three crucial components for this re-conceptualization: Developing research…
Descriptors: Undergraduate Students, Statistics Education, Data Science, Teaching Methods
Yong Zheng – Discover Education, 2024
Extensive research has probed the impacts of personality traits on student satisfaction, academic anxiety, and performance, with particular attention paid to their implications during the COVID-19 pandemic. Notably, a conspicuous gap is discernible in the existing literature concerning investigations that scrutinize the influence of personality on…
Descriptors: Cooperative Learning, Personality Traits, COVID-19, Pandemics
Yang, Yuqin; Zheng, Zhizi; Zhu, Gaoxia; Salas-Pilco, Sdenka Zobeida – British Journal of Educational Technology, 2023
Preparing data-literate citizens and supporting future generations to effectively work with data is challenging. Engaging students in Knowledge Building (KB) may be a promising way to respond to this challenge because it requires students to reflect on and direct their inquiry with the support of data. Informed by previous studies, this research…
Descriptors: Elementary School Students, Grade 6, Information Literacy, Data
Crystal Goldman; Erik T. Mitchell – portal: Libraries and the Academy, 2024
The intersection of Data Science (DS) and Library and Information Science (LIS) is rapidly developing, with a notable need for ongoing transdisciplinary training between practitioners in these two fields. The LIS Education and Data Science Integrated Network Group (LEADING) fellowship program and its ancillary community of practice (CoP) showcase…
Descriptors: Library Science, Information Science Education, Data Science, Interdisciplinary Approach
Yi Zheng; Fern Van Vliet; Jeong Im Jin – Educational Research and Evaluation, 2024
This case study examined the current assessment practices in the math school of a large research university in the United States. After reviewing a sample of course syllabi offered in the spring 2021 semester, we descriptively summarized the use of 19 assessment methods in the school and examined the assessment patterns by subjects, class…
Descriptors: Student Centered Learning, Student Evaluation, College Mathematics, College Students

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