The use of (test) performance data for governing school and teachers' work, defined as datafication, has emerged as a global trend in education. However, how this trend plays out in relation to English language education in the local context, particularly in developing societies, has not received notable attention. Taking Bangladesh secondary…

Graphic interpretation is as critical in physics education as problem-solving. However, we know that today's classes focus more on problem-solving. This study uses a survey to determine college students' graphic interpretation skills. The study consists of two phases. The first phase includes the development and statistical analysis of the survey.…

Official communications and media news in Greece about the COVID-19 pandemic very often involve a multitude of numerical concepts and mathematical relationships, which are presented in different forms and in various contexts. This paper reports selected findings of a survey among adults, which had two aims. First, to investigate their subjective…

One apparent challenge associated with learning analytics (LA) has been to promote adoption by university educators. Researchers suggest that a visualization dashboard could serve to help educators use LA to improve learning design (LD) practice. We therefore used an educational design approach to develop a pedagogically useful and easy-to-use LA…

Teacher data use is often centered around standardized testing. Such data use that is commonly centered on standardized tests and used during professional development does not necessarily transform teacher practice toward equity and fails to change teacher conceptualizations of students while also perpetuating inequitable practices. Conversely,…

The priority goals of the development of Czech higher education include ensuring the quality of its activities, improving the availability and relevance of flexible forms of education, and increasing efficiency in teaching and research. Several professional articles evaluated educational efficiency, but the proposed models did not include…

The U.S. Department of Education's (ED) Office for Civil Rights (OCR) administers the Civil Rights Data Collection (CRDC), which is a mandatory survey of all public schools and school districts in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico. This Data Snapshot provides an overview of the CRDC for the 2020-21 school year.

This research aims to build economic research skills and stimulate students' interest in the local economy through data-based undergraduate research in entry-level economics courses. The authors developed two assignments and one student survey assessing students' learning outcomes and implemented them in two introductory-level classes from fall…

An important course in the computer science discipline is 'Data Structures and Algorithms' (DSA). "The coursework" lays emphasis on experiential learning for building students' programming and algorithmic reasoning abilities. Teachers set up a repertoire of formative programming exercises to engage students with different programmatic…

This paper introduces the concept of infrastructure into discussions on climate change and education. We focus on the links between the increased use of digital data and the central role of data infrastructures in education, and the energy infrastructure needed to support their growing use in schools and school systems. We elaborate a need for a…

In the era of technology and digital standardized testing, one might question the practicality of teaching cursive handwriting to early learners. The problem addressed in this study is that due to the increased use of technology in the Montessori classroom, teachers may not value cursive handwriting instruction as an important skill for early…

In an effort to best support student learning, school districts are seeking the most effective means of improving instruction while effectively addressing student inequities. As the focus on accountability intensifies, the use of data is paramount. Access to data alone, does not ensure quality, data-driven instruction. The lack of teacher…

The problem explored by this study was that teachers' perspectives are not implemented when selecting and utilizing phonics instruction in kindergarten through second grade classrooms. The purpose of this qualitative case study was to explore primary teachers' rationales and experiences when choosing and implementing phonics instruction in primary…

In many collegiate level statistics courses, the focus of the learning outcomes is often on the analysis of data after it has been collected. Students are provided with clean data sets from previous studies to practice statistical analysis, but receive little to no application as to the amount of time and effort that goes in to collecting good…

The Cross Industry Standard Process for Data Mining (CRISP-DM) framework was developed in the 1990s and has been widely used as the most relevant and comprehensive leading principle for conducting analytics projects. Despite the wide acceptance and adoption of the CRISP-DM framework, the current business analytics discipline often focuses on the…