Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…

Developing tools to support students, educators, intuitions, and government in the educational environment has become an important task to improve the quality of education and learning outcomes. Information and communication technology (ICT) is adopted by educational institutions; one such instance is video interaction in flipped teaching.…

Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…

In this article we discuss the use of RapidMiner, a data science software platform, in a Database Management Systems course. For further understanding of the database and the skill learned, students are given an assignment to complete, to not only use another software beside SQL Server Management Studio but also translate their findings in a more…

With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…

Informed by interviews with campus administrators and Northern Arizona University (NAU) students, the "Student Success is the DNA of NAU" case study outlines strategies this public, four-year, Hispanic-Serving Institution (HSI) is employing to build NAU into an engine of opportunity for students and the communities they represent. The…

In Latin American universities, Learning Analytics (LA) has been perceived as a promising opportunity to leverage data to meet the needs of a diverse student cohort. Although universities have been collecting educational data for years, the adoption of LA in this region is still limited due to the lack of expertise and policies for processing and…

Business Intelligence (BI) and Business Analytics (BA) Software has been included in many Information Systems (IS) curricula. This study surveyed current and past undergraduate and graduate students to evaluate various BI/BA tools. Specifically, this study compared several software tools from two of the major software providers in the BI/BA field.…

Big Data is becoming a critical component of the Information Systems curriculum. Educators are enhancing gradually the concentration curriculum for Big Data in schools of computer science and information systems. This paper proposes a creative curriculum design for Big Data Analytics for a program at a major metropolitan university. The design…

Universities generate a mass of data related to students and the courses that they study. As such, "data work" using digital technologies and digital systems is integral to educational administration within higher education. Drawing on in-depth interviews with administrative and managerial staff in an Australian university, this article…

Legal, privacy and ethical concerns impacted data sharing among post-secondary institutions in academic collaboration in Ontario. The legal/ethical environment was embodied by FIPPA (Freedom of Information and Protection of Privacy) legislation, Research Ethics Board protocols and Institutional Acts enacted by the provincial parliament.…

In the context of the hype, promise and perils of Big Data and the currently dominant paradigm of data-driven decision-making, it is important to critically engage with the potential of Big Data for higher education. We do not question the potential of Big Data, but we do raise a number of issues, and present a number of theses to be seriously…

In teaching business students about the application and implementation of technology, especially involving business intelligence, it is important to discover that project success in enterprise systems development efforts often depend on the non-technological problems or issues. The focus of this paper will be on the use of multiple case studies in…

Many institutions are trying to better understand the factors that drive student success and failure in order to improve the efficiency of degree production. Traditional academic reporting systems are not adequate for this purpose, since they are designed to measure outcomes, not to uncover the factors that influence them. To address this problem,…

Background: Learning processes are usually characterized by students' misunderstandings and misconceptions. Engineering educators intend to help their students overcome their misconceptions and achieve correct understanding of the concept. This paper describes a misconception in digital systems held by many students who believe that combinational…