Bloomberg Terminal is one of the most prominent and valuable tools for business and technology professionals. Having familiarity with Bloomberg is a desirable qualification for business students upon graduation. This classroom activity introduces Bloomberg Terminal in an introductory information technology (IT) digital literacy course at a…

In this article, the author presents a short teaching sequence to show how to introduce young students in grades 3 (ages 8-9) and 4 (ages 9-10) to using digital tools for exploring larger and multivariate data sets. The teacher guided the young students from creating bar graphs in small data sets on embodied cognition and enactive levels to…

As biologists accumulate or encounter increasingly large and complex data sets, our field creates the need for students to develop skills in data exploration and visualization. Many biology courses lack the time for students to develop the skills needed to parse complex datasets and visualize them appropriately. We developed a new upper-level…

This article reports a workshop from the 2021 IUBMB/ASBMB Teaching Science with Big Data conference held virtually in June 2021 where participants learned to explore and visualize large quantities of protein PBD data using Jupyter notebooks and the Python programming language. This activity instructs participants using Jupyter notebooks, Python…

This essay draws from a pragmatic feminist approach. It outlines the importance of relational ethics and Deweyan democracy to educational practices using the exploitative situation of emergency remote learning and women teachers to show the impact of systems that were in place before the COVID-19 pandemic, but which have become more concerning…

The large rates of students' failure is a very frequent problem in undergraduate courses, being even more evident in exact sciences. Pointing out the reasons of such problem is a paramount research topic, though not an easy task. An alternative is to use Educational Data Mining techniques (EDM), which enables one to convert data from educational…

Many data science applications involve generating questions, acquiring data and preparing it for analysis--be it exploratory, inferential, or modeling focused--and communicating findings. Most data science curricula address each of these steps as separate units in a course or as separate courses. Open-ended term projects, however, allow students…

Many educational summative and formative assessments have been transferred to a remote online setting because of the pandemic. Educational professionals and stakeholders have shown interest in learning how this change in the test mode influenced test takers; that is, whether test-taking experiences in a remote test setting were different from…

Bridge International Academies, the largest network of elementary schools in the developing world operates both low-cost private schools, and public-private partnership schools. More than 800,000 students are enrolled in 2,026 schools in five countries. Bridge tries lots of different ideas and initiatives, many of which are backed up by research…

Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…

Consisting of brief and evocative scenarios, vignettes effectively elicit stimulus responses, examine individual cognitions, and explore novel or sensitive topics. While information and communication technologies have expanded research methods, methodological and ethical considerations for design and implementation of digital vignettes necessitate…

A vast amount of published scholarly literature is generated every day. Today, it is one of the biggest challenges for organisations to extract knowledge embedded in published scholarly literature for business and research applications. Application of text mining is gaining popularity among researchers and applications are growing exponentially in…

In this contribution to the Platform Studies in Education symposium, Luci Pangrazio, Amy Stornaiuolo, T. Philip Nichols, Antero Garcia, and Thomas M. Philip explore how digital platforms can be used to build knowledge and understanding of datafication processes among teachers and students. The essay responds to the turn toward data-driven teaching…

Statistical literacy is key in this heavily polarized information age for an informed and critical citizenry to make sense of arguments in the media and society. The responsibility of developing statistical literacy is often left to the K-12 mathematics curriculum. In this article, we discuss our investigation of K-8 students' current…

Student dropout is one of the challenges commonly encountered by learning institutions. It has been a problem and several studies have been conducted to know the reasons for dropping out to craft solutions appropriate and contextualized to different types of learning institutions. This study seeks to determine the dropout rates of the Bachelor of…