Teaching Data Analytics Research Articles

Leveraging Oral Assessments to Enhance Learning and Integrity in Teaching Data Analytics

The rapid advancement of generative AI tools, like ChatGPT, has significantly impacted academic integrity in higher education. This paper explores the integration of oral assessments with traditional project evaluation in data analytics courses to address these challenges. While oral assessments cannot completely prevent cheating, they enable examiners to probe students' understanding more deeply. We present an overview of our assessment design and processes rather than detailed student results. We compare the implementation of oral assessments in a fully online professional course and a face-to-face undergraduate course. Moreover, we compare results before and after oral assessment training and explore AI’s role in efficiently generating individualised questions. Our findings demonstrate that oral assessments reduce academic dishonesty, enhance comprehension, and increase assessment rigour.

The Value of Data‐driven Category Management: A Case for Teaching Data Analytics to Purchasing and Supply Management Students

AbstractAs companies look to differentiate themselves with the help of their suppliers, the need for robust and sophisticated purchasing and supply management (PSM) processes that allow for informed decision‐making becomes increasingly important. These processes often rely on sophisticated data analytics to inform the design of a company’s category management strategy, such as its supply network design, its supplier relationship management, and its supplier performance management. Therefore, data analytics skills are crucial for PSM professionals. To foster these skills, we developed an innovative approach for teaching students how to use data analytics tools and techniques in PSM through the use of a teaching case called “Savingtools.” This case, developed in collaboration with a company undergoing a PSM transformation, illustrates the value of data‐driven category management in PSM. The case further demonstrates the principles and tools related to PSM data management, spend analysis, and classification, and allows for in‐depth data analysis, including visualizations. Our approach has been shown to effectively enhance student learning and comprehension, and we believe that it prepares future supply chain leaders while advancing PSM pedagogy.

Teaching Experiential Data Analytics Using an Election Simulation

Data Analytics has grown dramatically in importance and in the level of business deployments in recent years. It is used across most functional areas and applications, some of the latter including market campaigns, detecting fraud, determining credit, identifying assembly line defects, health services and many others. Indeed, the realm of analytics has famously grown to include major league sports and even U.S. election campaigns. Universities have raced to include data analytics in their curricula as the need for data scientists has become more acute. Unfortunately, many data science courses in college curricula suffer from various deficiencies: some lack a hands-on component, others are insufficiently experiential, and yet others leave students with too few transferable skills. This article describes an experiential approach to teaching data analytics at the college level that uses an election simulation, MISSimulation.com—to communicate key data science concepts in a competitive setting. Many universities actively use the simulation, combined with analytic tools such as Tableau and Excel, to implement team competition. We explore key techniques used and knowledge learned during the typical teaching of a data analytics course using the simulation. We end with pedagogical review of data analytics skills transferred during the course and student feedback.

September 2022 Placement Ads

September 2022 Placement Ads

Review of Data Analytic Teaching Cases, Have We Covered Enough?

ABSTRACT Big Data and data analytics are changing the accounting profession requiring different skills. To prepare students, faculty are tasked with teaching data analytics and the tools used to perform data analysis. This study examines data analytic teaching cases across the curriculum from peer-reviewed accounting education literature using the lens of the data analytic process. We include the breadth of tools students employ to complete the cases that will give students the experience needed to be a valued business partner. We find that the majority of teaching cases focus on analysis and communication, while few cover necessary steps prior to analysis such as extraction and data preparation. We also find that Excel is the principal tool used, while other much needed tools are rarely employed in teaching cases. Our findings provide an opportunity for academics to create new teaching cases to provide students with comprehensive experiences throughout the data analytics cycle. JEL Classifications: M49

Teaching Data Analytics More Effectively: Book Review of The Art of Statistics: How to Learn from Data by DavidSpiegelhalter (Basic Books, New York, NY, 2019)

Risk AnalysisVolume 41, Issue 4 p. 694-699 Book Review Teaching Data Analytics More Effectively: Book Review of The Art of Statistics: How to Learn from Data by David Spiegelhalter ( Basic Books, New York, NY, 2019) Louis Anthony Cox Jr, Corresponding Author Louis Anthony Cox Jr tcoxdenver@aol.com email: (tcoxdenver@aol.com)Search for more papers by this author Louis Anthony Cox Jr, Corresponding Author Louis Anthony Cox Jr tcoxdenver@aol.com email: (tcoxdenver@aol.com)Search for more papers by this author First published: 08 February 2021 https://doi.org/10.1111/risa.13688Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Volume41, Issue4Special Issue: Risk Assessment, Economic Evaluation, and DecisionsApril 2021Pages 694-699 RelatedInformation

Teaching Data Analytics in a Collaborative Team Environment

ABSTRACT Accounting professionals have access to the data that can help businesses develop a strategic advantage and remain competitive in today's fast-paced business environment. Data analytics and teamwork skills are essential for all accountants, finance professionals, and business managers. This manuscript includes a case designed to provide students with practice analyzing data, working collaboratively as a team to prepare and present meaningful reports for management. Skill development is concentrated on data analytics, data visualizations, teamwork, and written communication.

Accounting students’ learning processes in analytics: A sensemaking perspective

This paper takes a sensemaking perspective for purposes of better understanding the learning processes of students engaged in data analytics tasks and thus provide an enriched approach to teaching the subject. A sensemaking perspective addresses a gap in the accounting education literature by describing the learning processes associated with conducting data analytics tasks. A case study methodology was used by conducting an exploratory study of students’ sensemaking activities while engaging in an experiential data analytics project. Findings from the study suggest students engaged in data analytics tasks experience states of uncertainty and ambiguity. They also experience behaviors of wrestling to develop findings and insights, experimenting followed by failure, creating solutions, and regularly evaluating their work progress. The variety of these behaviors, which resemble deep-learning processes can pose challenges to teaching data analytics to accounting students.

Teaching Data Analytics Skills in Auditing Classes Using Tableau

ABSTRACTWe present a case for teaching data analytics skills in auditing classes using the data visualization software Tableau. We use the Tableau-embedded data file “US Superstore,” which we edited to include cash receipts and discounts to provide a complete order to cash cycle. Students learn how to create data visualizations and dashboards, and how to apply them to audit-planning considerations. Students then perform substantive testing of the revenue (order to cash) cycle and identify issues in the data that relate to revenue. We propose that this case material can be tailored by instructors to fit their particular needs and course curriculum. This case provides students with hands-on exposure to data analytic and visualization capabilities. Student feedback was very favorable and student comments indicated that the case was practical, realistic, and informative, and provided them a better understanding of data visualization.Data Availability: For data availability, please contact the corresponding author.

VIDIA: A HUBzero gateway for data analytics education

We describe a scientific gateway collaboration undertaken by members of the State University of New York (SUNY) system. The University at Buffalo’s Center for Computational Research (CCR) partnered with SUNY College at Oneonta to offer a gateway for teaching data analytics. The result, called Virtual Infrastructure for Data Intensive Analysis (VIDIA), hosts open-source tools that have been used by more than 300 students enrolled in 18 SUNY courses. Additional tools enable researchers across the SUNY system to submit larger jobs to CCR’s compute cluster; altogether, 5 SUNY campuses benefit from the resource to date. VIDIA supports data-intensive computation for teaching and research at campuses that lack access to traditional high-performance computing (HPC) resources.

Teaching Data Analytics Using ACL

ABSTRACT We present a case for teaching data analytics skills in auditing and/or forensic accounting classes using ACL Analytics. We introduce fraudulent transactions into an existing dataset and then ask students to use ACL Analytics to identify these fraudulent transactions. The case can also be used in other accounting classes. We provide ideas and instructions on how professors can tailor the assignments to meet their needs. The case provides students with an opportunity to participate in active learning exercises that require independent study and the use of analytics software. Students were genuinely engaged in the learning process and recommended the case as learning assignments for subsequent classes. Data Availability: Please email the corresponding author.

Teaching data analytics across the computing curricula

The Economist calls data analytics a golden vein [6], and many business experts now say it is the science of winning [7]. Business and technologists have many names for this new science, b...

Improving Mr. Miyagi's Coaching Style: Teaching Data Analytics with Interactive Data Visualizations

Improving Mr. Miyagi's Coaching Style: Teaching Data Analytics with Interactive Data Visualizations