A Foundation Course in Business Analytics:Design and Implementation at Two Universities

The current data-centric business environment has seen an increasing demand for business students with knowledge and skills in the area of business analytics. This article presents the design and implementation of a foundation business analytics (BA) course for undergraduate business students who aspire to become data-literate professionals or entry-level data analysts. The course design is built around two learning objectives and their corresponding learning outcomes and features five learning modules corresponding to a recently proposed BA pedagogical framework. The implementation of this course at two large universities is described in detail, including the timelines, topics, software tools, assignments, projects, and student feedback. Upon successful completion of the course, students are expected to be able to conduct business analytics at basic to intermediate levels using leading industry tools such as Power Pivot, Power BI, Tableau, or R

Design Analytics Dashboards to Support Students and Instructors

Design coursework is iterative and continuously-evolving. Separation of digital tools used in design courses disaffects instructors’ and students’ iterative process experiences. As technology becomes increasingly integrated into design education, new opportunities arise for supporting the iterative, living process of design. These opportunities include providing on-demand, automatically computed insights to instructors, and facilitating instructor and student communication of feedback. I present a system that integrates support for design ideation with a learning analytics dashboard. The system enables instructors gain insights into a student's work across multiple dimensions. Instructors can view design work in the same environment in which students create it, which allows them to provide assessment and feedback in-context. I conducted semi-structured interviews, and recorded interaction logs over the course of an academic year to understand users' experiences. My research contributes to our understanding of how to present interactive, on-demand insights to instructors, as well as how to facilitate communication in an iterative process between instructors and students. Findings indicate benefits when systems enable instructors to contextualize creative work with assessment by integrating support for ideation with a learning analytics dashboard. Instructors are better able to track students and their work. Students are supported in reflecting on the relationship between assignments, and contextualizing instructor feedback with their work. We derive implications for contextualizing design with feedback to support creativity, learning, and teaching

Use and Perceived Value of Class Forums

Numerous studies have illustrated the ability of online class discussion forums to support college-level student learning and performance. Yet few instructors incorporate forums into their courses. Many believe that students will fail to find value in or even use class forums or they are concerned about increasing their instructional workloads. Herein we address these concerns via a mixed-methods study of our own students\u27 experiences with class forums

Using Active Learning, Group Formation, and Discussion to Increase Student Learning: A Business Intelligence Skills Analysis

This paper describes the process used to integrate active learning, group formation, and classroom discussion in a college-level business intelligence class. To assess the impact of active learning and discussion on learning outcomes, we captured student performance on their final data challenge term project across increasingly collaborative and discussion-based sections. To stimulate reflective discussion and to promote cooperative and collaborative teamwork during in-class assignments, we established small groups based on an incoming business intelligence-related skills self-assessment. Our regression results indicate that a skills-based group formation approach enabled an enhanced level of in-class assignment completion and promoted reflective discussion in the classroom. We also find that active learning and discussion increased appropriation of business intelligence concepts and analytical tools. The inherent nuances of business intelligence education, as well as the implications and strategies for improved classroom discussion in a technology class setting, are reviewed

Understanding Collaboration in Virtual Labs: A Learning Analytics Framework

Online education is increasing and progress within technology has inspired the development of virtual laboratories, which allow students to conduct experiments online. One of the main challenges of virtual laboratory environments is facilitating collaboration similar to those existing in physical laboratory settings. This research explores how one can obtain a better understanding of collaboration in virtual labs through the use of learning analytics. The research work of this thesis was carried out within the frame of design science research, where the main contribution is an artefact in the form of a learning analytics framework. The aim of the artefact is to provide a guiding framework for the integration of learning analytics to better understand and support learning and collaboration in virtual labs. The artefact was evaluated in two iterations using semi-structured interviews with seven experts. It was found through the artefact development process that social network anal- ysis, statistical analysis, natural language processing, and sentiment analysis are valuable data analysis methods for identifying patterns within collaboration in virtual labs. A proposal of a learning analytics dashboard has proved to be a valuable tool to visualise the analysis to the stakeholders in question (students and instructor). The overall reception of the framework was understandable and well-presented. The contribution of this research provides opportunities for future work which involves putting the framework into practice. The implementation of learning analytics to support collaboration in virtual labs can make it easier for students to reflect on their own performances and thereafter improve from it, as well as supporting instructors to reflect on their teaching methods and provide assistance to students in need.Masteroppgave i informasjonsvitenskapINFO390MASV-INF

Multilevel Visualisation of Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach

The effective design and delivery of assessments in a wide variety of evolving educational environments remains a challenging problem. Proposals have included the use of learning dashboards, peer learning environments, and grading support systems; these embrace visualisations to summarise and communicate results. In an on-going project, the investigation of graph based visualisation models for assessment design and delivery has yielded promising results. Here, an alternative graph foundation, a two-weighted hypergraph, is considered to represent the assessment material (e.g., questions) and their explicit mapping to one or more learning objective topics. The visualisation approach considers the hypergraph as a collection of levels; the content of these levels can be customized and presented according to user preferences. A case study on generating hypergraph models using commonly available assessment data and a flexible visualisation approach using historical data from an introductory programming course is presentedComment: Published in the proceedings of the 25th International DMS Conference on Visualization and Visual Language

Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education

This paper presents a novel framework, Artificial Intelligence-Enabled Intelligent Assistant (AIIA), for personalized and adaptive learning in higher education. The AIIA system leverages advanced AI and Natural Language Processing (NLP) techniques to create an interactive and engaging learning platform. This platform is engineered to reduce cognitive load on learners by providing easy access to information, facilitating knowledge assessment, and delivering personalized learning support tailored to individual needs and learning styles. The AIIA's capabilities include understanding and responding to student inquiries, generating quizzes and flashcards, and offering personalized learning pathways. The research findings have the potential to significantly impact the design, implementation, and evaluation of AI-enabled Virtual Teaching Assistants (VTAs) in higher education, informing the development of innovative educational tools that can enhance student learning outcomes, engagement, and satisfaction. The paper presents the methodology, system architecture, intelligent services, and integration with Learning Management Systems (LMSs) while discussing the challenges, limitations, and future directions for the development of AI-enabled intelligent assistants in education.Comment: 29 pages, 10 figures, 9659 word

Active Learning via a Sample Database: The Case of Microsoft\u27s Adventure Works

This paper describes the use and benefits of Microsoft’s Adventure Works (AW) database to teach advanced database skills in a hands-on, realistic environment. Database management and querying skills are a key element of a robust information systems curriculum, and active learning is an important way to develop these skills. To facilitate active learning and produce a compelling narrative, the data structure and content of a useful pedagogically-oriented database should be realistic and lifelike. It should contain data that accurately depicts the business processes, functions, and entities of a realistic organization, structured in a way that demonstrates best practices in database design. Most database textbooks include sample databases, but these are often small and sparse of data. By contrast, Microsoft’s AW database presents a robust, realistic, and comprehensive framework for many important educational objectives in an IS curriculum. This paper introduces the AW business case and database, and illustrates several pedagogical uses in an undergraduate CIS program

Virtual learning environments and digital tools for implementing formative assessment of transversal skills in STEM

This publication is the fourth report in a series of reports part of the Assessment of Transversal Skills in Science, Technology, Engineering and Mathematics (ATS STEM) project. The report is written within the framework of the project ATS STEM (http://www.atsstem.eu/). Assessment of Transversal Skills in STEM is an innovative policy experimentation project being conducted across 8 EU countries and involving a partner network of 12 educational institutions