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Terry A. Ackerman; Deborah L. Bandalos; Derek C. Briggs; Howard T. Everson; Andrew D. Ho; Susan M. Lottridge; Matthew J. Madison; Sandip Sinharay; Michael C. Rodriguez; Michael Russell; Alina A. Davier; Stefanie A. Wind – Educational Measurement: Issues and Practice, 2024
This article presents the consensus of an National Council on Measurement in Education Presidential Task Force on Foundational Competencies in Educational Measurement. Foundational competencies are those that support future development of additional professional and disciplinary competencies. The authors develop a framework for foundational…
Descriptors: Educational Assessment, Competence, Skill Development, Communication Skills
Silva, Ricardo; Fonseca, Benjamim; Costa, Cecília; Martins, Fernando – Education Sciences, 2021
There is a growing presence of technology in the daily lives of elementary school students, with a recent exponential rise due to the constraints of remote teaching during the COVID-19 pandemic. It is important to understand how the education system can contribute to helping students develop the required skills for technological careers, without…
Descriptors: Computation, Thinking Skills, Skill Development, Didacticism
Johnson, Amy L.; Gleit, Rebecca D. – Teaching Sociology, 2022
Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare…
Descriptors: College Students, Sociology, Social Science Research, Computer Science Education
Paul Asunda; Miad Faezipour; Joshua Tolemy; Milo Timothy Do Engel – Journal of Technology Education, 2023
The scope and versatile nature of engineering and technology education as a discipline provide a platform for the integration of computational thinking (CT) into STEM education, accomplishing the goal of bringing not only computer science principles into the K-12 education but also the fundamentals of machine learning (ML) and artificial…
Descriptors: Computation, Thinking Skills, STEM Education, Engineering Education
Fergusson, Anna; Wild, Chris J. – Teaching Statistics: An International Journal for Teachers, 2021
The explosion in availability and variety of data requires learning experiences that reveal more of the data world faster and develop practical skills with digital technologies. Key high-level goals of the International Data Science in Schools Project (IDSSP) include having students continually immersed in the cycle of learning from data, and data…
Descriptors: Data, Data Analysis, Skill Development, Discovery Learning
Qian, Yingxiao; Choi, Ikseon – Educational Technology Research and Development, 2023
Echoing the increasing emphasis on STEM literacy, computational thinking has become a national priority in K-12 schools. Scholars have acknowledged abstraction as the keystone of computational thinking. To foster K-12 students' computational thinking and STEM literacy, students' ability to think abstractly should be enhanced. However, the existing…
Descriptors: Elementary Secondary Education, Computation, Thinking Skills, Abstract Reasoning
Heidorn, Brent; Heidorn, Jennifer; Buice, Sarah – Journal of Physical Education, Recreation & Dance, 2023
Physical education teachers who are looking for creative activities that engage students and that meet national and state standards for learning, may find "Balls and Beats" as a perfect solution. "Balls and Beats", in a fun and dynamic atmosphere, covers all the basic needs for effective student learning based upon the the…
Descriptors: Physical Education, Elementary Secondary Education, Physical Education Teachers, Teaching Methods
Ball, Richard; Medeiros, Norm; Bussberg, Nicholas W.; Piekut, Aneta – Journal of Statistics and Data Science Education, 2022
This article synthesizes ideas that emerged over the course of a 10-week symposium titled "Teaching Reproducible Research: Educational Outcomes" https://www.projecttier.org/fellowships-and-workshops/2021-spring-symposium that took place in the spring of 2021. The speakers included one linguist, three political scientists, seven…
Descriptors: Teaching Methods, Statistics Education, Replication (Evaluation), Research Methodology
LaTourrette, Katherine; Stengel, Ashley; Clarke, Jennifer – Natural Sciences Education, 2021
Computational skills are increasingly important for conducting research in the agricultural and natural sciences. However, barriers to training availability and accessibility have left many life scientists under-prepared. To address these challenges, we developed a workshop series led by graduate students to cover topics relevant to research needs…
Descriptors: Workshops, Biological Sciences, Graduate Students, COVID-19
Redish, Edward F. – Physics Teacher, 2021
Learning to use math in science is a non-trivial task. It involves many different skills (not usually taught in a math class) that help blend physical knowledge with mathematical symbology. One of these is the idea of quantification--that physical quantities can be assigned specific numbers (with a unit). A second is to develop an intuition for…
Descriptors: Science Instruction, Physics, Mathematical Concepts, Skill Development
Parks, Amy Noelle; Wakabayashi, Tomoko; Hardin, Beth – Teaching Children Mathematics, 2018
In many prekindergarten classes, children begin the day by singing a song as part of their opening routine. In reflecting on opening routines in public prekindergarten classrooms across Michigan, the authors have been struck by how often small changes in teachers' routines or materials could enrich the mathematical engagement of children. The goal…
Descriptors: Mathematics Instruction, Preschool Education, Preschool Children, Teaching Methods
Ching, Yu-Hui; Hsu, Yu-Chang; Baldwin, Sally – TechTrends: Linking Research and Practice to Improve Learning, 2018
The aim of this article is to provide an overview of the opportunities for developing computational thinking in young learners. It includes a review of empirical studies on the educational technologies used to develop computational thinking in young learners, and analyses and descriptions of a selection of commercially available technologies for…
Descriptors: Educational Technology, Technology Uses in Education, Thinking Skills, Computation
Sung, Euisuk – Technology and Engineering Teacher, 2019
Computational thinking has been popularized in the last decade, particularly with the emphasis on coding education in K-12 schools. The core idea of computational thinking has a close relationship with technology and engineering education (TEE). TEE has emphasized the use of computing skills to solve problems, and integrative STEM education…
Descriptors: Skill Development, Computation, STEM Education, Engineering
Donoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
Sharma, Arun K.; Hernandez, Michelle; Phuong, Vinh – Journal of STEM Education: Innovations and Research, 2019
Course-based undergraduate research (CURE) is an educational paradigm to engage students in authentic research projects as part of their classroom experience. We present a course-based undergraduate research experience (CURE) for first-year students to get acquainted with the research process and apply the skills of scientific computing to…
Descriptors: Student Research, Undergraduate Students, Learner Engagement, Climate