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Direct linkVictoria Delaney; Victor R. Lee – Information and Learning Sciences, 2024
With increased focus on data literacy and data science education in K-12, little is known about what makes a data set preferable for use by classroom teachers. Given that educational designers often privilege authenticity, the purpose of this study is to examine how teachers use features of data sets to determine their suitability for authentic…
Descriptors: High School Teachers, Data Use, Information Literacy, Aesthetics
Ognenka Avramovska; Megan E. Rokop – Biochemistry and Molecular Biology Education, 2024
Undergraduate research experiences are key to preparing STEM students for a range of careers and graduate programs, and to impacting retention in STEM. Providing undergraduate research experiences can be challenging for institutions due to the high cost associated with equipment and reagents, lab space, and research mentors. In this study, we…
Descriptors: Microbiology, Undergraduate Students, Data Use, STEM Education
Salimpour, Saeed; Fitzgerald, Michael T.; Tytler, Russell; Eriksson, Urban – Journal of Science Education and Technology, 2021
The changing landscape of science and science education has provided an impetus to re-imagine how science can be taught in schools. The dawn of the Big Data era, especially in astronomy, and the notion of "Science as Practice" are some of the developments driving this need for a re-imagination of science education. This current work…
Descriptors: Web Based Instruction, Computer Interfaces, Design, Science Education
Haering, Marlo; Bano, Muneera; Zowghi, Didar; Kearney, Matthew; Maalej, Walid – IEEE Transactions on Learning Technologies, 2021
With the vast number of apps and the complexity of their features, it is becoming challenging for teachers to select a suitable learning app for their courses. Several evaluation frameworks have been proposed in the literature to assist teachers with this selection. The iPAC framework is a well-established mobile learning framework highlighting…
Descriptors: Automation, Courseware, Computer Software Evaluation, Computer Software Selection
Download full textPeterson, Franziska – Educational Research: Theory and Practice, 2021
The purpose of this pilot study was to engage pre-service elementary teachers in a semester-long project to deepen their quantitative reasoning skills when working with real-world data. Over three semesters, all pre-service elementary teachers enrolled in mathematics content courses focusing on K-8 mathematics topics had to collect, analyze,…
Descriptors: Data Use, Data Analysis, Thinking Skills, Mathematics Skills
Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning
