This study was grounded in the spatial computational thinking model developed by the "3D Weather" project funded by the NSF STEM+C program. The model reflects a discipline-based perspective towards computational thinking and captures the spatial nature of computational thinking in meteorology and the reliance of computational thinking on…

Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…

Real-world data are fundamental to modern teaching methodologies that aim to improve statistical knowledge and reasoning in students. Statistical information is encountered in everyday life, such as media articles and involves real-world contexts. However, information could be biased or (mis)represented and students should be concerned about the…

This research explores the perspectives of marketing students and educators about the Big Data courses in marketing education programs. It also examines drivers that predict interest on the part of marketing students in taking Big Data courses. Data was collected through interviews with 20 marketing educators, and a survey was completed by 480…

A linked data approach provides new opportunities for annotating, interlinking, sharing and enriching massive open online educational resources. However, it can be difficult for non-expert users to build and utilize the educational linked data in educational settings. Thus, flexible and user-friendly ways to represent, interlink, visualize and…

This study investigates the extent to which paper-based data-driven learning (DDL) activities can improve Thai EFL students' grammar learning of conditional sentences (the second condition), as well as the participants' attitudes toward learning through the DDL approach. This was a two-week research using a one-group pre-test and post-test design.…

Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect…

Students at all levels of education experience difficulties with the concepts of measurement uncertainties. One task that includes concepts of measurement uncertainties is a data comparison problem where students decide whether two datasets are in agreement or not--an authentic scientific practice. To aid students with these concepts and tasks,…

The purpose of this process evaluation was to evaluate how classroom teachers, campus administrators, and instructional staff differ in their perception of data usage for educational improvement in a large suburban Independent School District (ISD) in Southeast Texas. The researcher was granted permission by the superintendent of the school…

The purpose of this article is to describe the possibilities of using worksheets in the teaching of lipids and proteins. The worksheet includes a concept map, suggestions for three safe experiments that can be performed with available household chemicals, and observation results. The worksheets were implemented into action research in two classes…

Improving the quality of teaching and instruction takes time and planning and may be costly and require intensive work. This is particularly true when trying to make improvements among multiple preschool sites, because preschool systems often lack a cohesive infrastructure for supporting high-quality implementation of curricula and teacher…

Statistical literacy involves engagement with the data one encounters. New forms of data and new ways to engage with data--notably via interactive data visualisations--are emerging. Some of the skills required to work effectively with these new visualisation tools are described. We argue that interactive data visualisations will have as profound…

This practice guide is an updated version of "Supporting and Responding to Behavior: Evidence-based Classroom Strategies for Teachers" (see ED619696) that replaces, rather than supplements, the first version. This guide summarizes evidence-based, positive, and proactive practices that support and respond to students' social, emotional,…

Statewide technical assistance providers support many school teams through training, consultation, and coaching to improve systems and outcomes for mathematics for every student. They have the opportunity to work with many school psychologists, who often indicate they are more comfortable engaging in systems-level work for literacy, behavior, and…

The contemporary Human activity utilizes huge volumes of digital data to solve efficiently multiple socio-economic, scientific and technical problems. Now the big data analysis is mainly oriented to the socioeconomic sphere with a goal to lift the profit. The science and technology to penetrate deeper in the nature of objects and systems under…