In this chapter, the author examines the extent to which community colleges invite students to share their sexual orientation and gender identity (SOGI) data, and the barriers to collecting such data. The author also underscores the important role that higher education professionals, particularly those in institutional research, can play in…

We present a case study to teach data visualization with Tableau in an introductory business analytics course. The case uses publicly available data sets from touringplans.com that record wait times for various attractions at Disney World in Orlando, Florida. In the case study, students use Tableau to clean, organize, and analyze wait time data,…

The use of multiple measures for the operationalization of subjective well-being (SWB) is highly recommended, as each approach brings exposure to different errors. To supplement the approaches proposed in the literature, the paper at hand outlines a complemental text mining technique -- sentiment detection -- which presents an efficient solution…

Background: A number of ways to conduct research are designed to maximise the likelihood that evidence from research is quickly transferred into practice. This includes action research and partnership research between researchers and policy makers. Such approaches focus research effort on questions of highest relevance to practice and policy so as…

Courses: Persuasion, Marketing, Advanced Public Speaking, Argumentation. Objectives: The aims of this assignment are to introduce students to the concept of data mining as a tool for audience analysis and to improve students' ability to adapt a message to a specific audience.

Cloud computing, internet of things (IoT), artificial intelligence, and big data are four very different technologies that are already discussed separately. The use of the four technologies is required to be more and more necessary in the present day in order to make them important components in today's world technology. In this paper, the authors…

Teachers play a crucial role in supporting students' learning. It is crucial to also support teachers in their teaching. Traditional means to support teachers are highly effective but also repetitive, not personalized or not scalable, and infrequent. As classrooms become instrumented with educational technologies, opportunities emerge to provide…

In this article we present and discuss the importance and relevance of the inclusion of spatial data analysis as part of the undergraduate statistics curriculum. Given its usefulness and applicability across a range of disciplines, spatial data are a topic that should receive more emphasis within undergraduate statistics curricula. There exist…

Data science is collaborative and its students should learn teamwork and collaboration. Yet it can be a challenge to fit the teaching of such skills into the data science curriculum. Team-Based Learning (TBL) is a pedagogical strategy that can help educators teach data science better by flipping the classroom to employ small-group collaborative…

The Early Childhood Data Use Assessment Tool is designed to identify and improve data use skills among early childhood education (ECE) program staff so that they can better use data to inform, plan, monitor, and make decisions for instruction and program improvement. Data use is critical in quality ECE programs but can be intimidating for some ECE…

Racial and economic equity gaps persist in access to college, degree attainment, and employment outcomes despite attempts to close them over multiple decades, and systemic barriers make it more difficult for BIPOC [Black, Indigenous, People of Color] students and students from low-income backgrounds to not only complete their degree but receive…

Students using self-directed learning platforms, such as Duolingo, cannot be adequately assessed relying solely on responses to standard learning exercises due to a lack of control over learners' choices in how to utilize the platform: for example, how learners choose to sequence their studying and how much they choose to revisit old material. To…

Over the years, researchers have studied novice programming behaviors when doing assignments and projects to identify struggling students. Much of these efforts focused on using student programming and interaction features to predict student success at a course level. While these methods are effective at early detection of struggling students in…

This book examines the idea of educational accountability in higher education, which has become a new secular gospel. But do accountability policies actually make colleges better? What if educational accountability tools don't actually measure what they're supposed to? What if accountability data isn't valid, or worse, what if it's meaningless?…

Data collection of IEP goals is an ongoing problem in special education (Blackwell & Rossetti, 2014; Codding, Skorron, & Pace, 2005, Sandall, Schwartz, & LaCroix, Ruble, McGrew, Wong, & Missall, 2018; Walton, 1985). Research shows that there are inconsistencies between belief and practice. Many educators acknowledge the importance…