Although an increasing number of ethical data science and AI courses is available, with many focusing specifically on technology and computer ethics, pedagogical approaches employed in these courses rely exclusively on texts rather than on algorithmic development or data analysis. In this paper we recount a recent experience in developing and…

Discourse-based interviews allow researchers to gather data about a writer's understanding of what informs a task. This method was essential for a research team seeking to understand the impact of programmatic learning objectives on student writing development. Three decisions in the approach to this research project sought to center the student…

Many school educators struggle to reconcile the onslaught of mandatory and competing, top-down policies. Educators must merge policies into a singular plan that reflects the local stakeholders' goals and values. Given the federal and state accountability movement, schools are forced to build capacity around the use of on-site data and research…

This article draws from a larger doctoral study that examines parents' and teachers' perceptions of parental involvement in early childhood learning. The COVID-19 lockdown happened on March 18, 2020, in Cameroon before data collection was completed, therefore presenting an opportunity to investigate home-school relationships during this period.…

In this teaching case, we describe an experiential learning project that allows students to perform sentiment analysis on a set of tweets (posts made on the social media platform, Twitter) by collecting and analyzing posts that include key words selected by the students. Sentiment analysis refers to the process of identifying and categorizing…

The novel coronavirus may impact exercise habits of those with intellectual disabilities. Due to the mandated discontinuation of face-to-face research, investigators must adapt projects to protect all involved while collecting objective physical activity metrics. This brief report outlines a modification process of research methods to adhere to…

This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students' work is based on a…

Despite growing calls to develop data science students' ethical awareness and expand human-centered approaches to data science education, introductory courses in the field remain largely technical. A new interdisciplinary data science program aims to merge STEM and humanities perspectives starting at the very beginning of the data science…

Firms desire graduates capable of executing current and future business practices, many of which revolve around data. To meet those needs, we shifted the orientation of our required information systems course from technology to data. Instead of a survey of information systems, students learn the data acquisition-preparation-mining-presentation…

Social research is rich in methods for analysing societal differences. Yet, although qualitative characteristics are a key component to understanding such differences, the analysis of qualitative data remains a major methodological challenge in most social research, particularly when aiming to compare more than a few cases. The article proposes an…

College-educated white women across social classes support and uphold racism. Using narrative methods in a secondary analysis, we, as two white women, explored how white non-trans women make meaning of social class using the revised model of multiple dimensions of identity (RMMDI; Abes et al., 2007) as positioned within the context of white…

Since the beginning of the COVID-19 pandemic, faculty members have faced a changed and challenging environment. They were faced with reallocating their time across various teaching, research, and service responsibilities; adjusting their teaching format, testing, and labs; and dealing with reduced access to the resources they needed to teach…

For students pursuing a postsecondary education, where they go is as important as whether they go. National College Attainment Network ("NCAN") member programs and college access programs more broadly often inform students about their likelihood of completing a degree at their prospective postsecondary destinations as part of the…

Research from Complete College America has shown that the majority of students don't take enough credits to complete their degree on-time. While there are many factors that contribute to this, a student's ability to access the courses they need, when they need them plays a critical role in this discussion. Similarly, research has found that 65% of…

This technical report provides an overview of the datasets and methodology used in the main report, "Investigating the Potential Use of Long-Term School and College Destination Measures. Final Report" (see ED619071). The purpose of the main report is to investigate the potential for using Department for Education's (DfE's) Longitudinal…