This study introduces a modular teaching framework for business data analytics (BDA) curricula and programs. The framework integrates gamification features of the SAP business processes, ERPsim Games, and SAP data warehousing into the experiential learning of BDA curricula. The pedagogical practices of deploying the framework in an undergraduate…

This article describes the motivation and design for introductory coursework in computation aimed at midcareer professionals who desire to work in data science and analytics but who have little or no background in programming. In particular, we describe how we use modern interactive computing platforms to accelerate the learning of our students…

This paper presents a novel design for an upper-level undergraduate statistics course structured around data rather than methods. The course is designed around curated datasets to reflect real-world data science practice and engages students in experiential and peer learning using the data science competition platform Kaggle. Peer learning is…

Background and Context: Assessing team members' indivdiual contributions to software development projects poses a key problem for computing instructors. While instructors typically rely on subjective assessments, objective assessments could provide a more robust picture. To explore this possibility, In a 2020 paper, Buffardi presented a…

Students learn many concepts in the introductory statistics course, but even our most successful students end up with rigid, ritualized knowledge that does not transfer easily to new situations. In this article we describe our attempt to apply theories and findings from learning science to the design of a statistics course that aims to help…

The "Forum Guide to Data Literacy" is designed to help education agencies understand and build data literacy skills among various stakeholder groups such as administrators, teachers, students, parents and other caregivers, school board members, legislators, and community groups. This resource defines and discusses the importance of data…

Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…

Teacher inquiry holds promise in teacher education, but only if student teachers take up inquiry practices as they leave preservice and transition to teaching. As they learn to conduct inquiry during preservice, student teachers may begin to internalize dispositions that promote ongoing inquiry experiences. Through analysis of questionnaires…

As they prepared for the 2016-2017 school year, administrators and teachers at Design Tech High School ("d.tech"), a public charter school in Northern California, decided they needed a deeper understanding of how students learn. According to Nicole Cerra, Director of Learning, "Obviously you need to get to know students…

Primary literature offers rich opportunities to teach students how to "think like a scientist," but the challenges students face when they attempt to read research articles are not well understood. Here, we present an analysis of what master's students perceive as the most challenging aspects of engaging with primary literature. We…

This article presents case studies of two rural districts--both confronting economic and demographic challenges--that were making significant strides toward closing achievement gaps between students with and without disabilities. The districts accomplished this work by using six practices, common to both but implemented differently in each: (a)…

In 2013, the National Commission on Asian American and Pacific Islander Research in Education (CARE) and the White House Initiative on Asian Americans and Pacific Islanders (WHIAAPI)--with support from ETS and Asian Americans and Pacific Islanders in Philanthropy (AAPIP)--began an Asian American and Pacific Islander (AAPI) data quality campaign.…

We present a data set consisting of user profile data for 59,946 San Francisco OkCupid users (a free online dating website) from June 2012. The data set includes typical user information, lifestyle variables, and text responses to 10 essay questions. We present four example analyses suitable for use in undergraduate introductory probability and…

Effective use of data is key to improving student outcomes. This requires leaders to ensure teachers have developed the skills to convert student data to useful information to effectively plan for instruction and student interventions; to hold collaborative discussions that are structured for these purposes; to broaden the view of data to include…

The use of data for making educational decisions and to assess educational outcomes has been legislated by political bodies and codified by accreditation. Faculty have always used data to inform the grading process--data is gathered throughout the term to inform the letter grade assigned at the end. However, in today's educational environment,…