We discuss our experience in teaching data analytics, and in particular prescriptive analytics, to students in business schools using an inter-coherent case study, where a managerial decision is decomposed into a series of research problems with interlocking analyses and the outcome of one analysis is the input of other analysis. Students who…

Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work…

This study aims to investigate students' computational thinking (CT) through mathematical tasks integrated with programming in Scratch. Participants completed four tasks that required students to solve coding problems, which were focused on prime numbers and the prime factorization algorithm. The study was designed as a case study and the unit of…

Project-based learning (PBL) is a learning technology praised for its ability to grow domain-specific and domain-general skills and related knowledge and attitudes. However, consistently designing effective PBL experiences is challenging, primarily due to the lack of instructor support and guidance for designing PBL experiences aligned with…

Chemical solubility and equilibria are paramount for understanding everyday systems. Recent events have led to more interest by the general public in chemical equilibria that occur in drinking water systems. This presents a great opportunity to increase student interest and engagement in the more complicated aspects of chemical equilibria. Shiny…

This article introduces generalizability theory (G-theory) to institutional research and assessment practitioners, and explains how it can be utilized to evaluate the reliability of assessment procedures in order to improve student learning outcomes. The fundamental concepts associated with G-theory are briefly discussed, followed by a discussion…

An understanding of statistical concepts is necessary for a chemist with a complete education. Here, statistical tests were taught using the R Commander and the Factoshiny packages. These packages run on R software and have a graphical user interface (GUI), which allows students to do statistical tests quickly and easily. These packages were…

In today's cybersecurity landscape, organizations need frameworks that provide a holistic approach to risk assessment as part of the risk management process. This case introduces SecureEnd Solutions, a rapidly growing cybersecurity company, and its core team, including Alan Touring, Ada Lovecode, Bob Jobs, and Suzan, the head of development. The…

Artificial Intelligence (AI) is profoundly reshaping higher education by introducing innovative tools and systems that enhance learning outcomes, streamline administrative processes, and address global educational challenges. This white paper examines AI's transformative impact on higher education, drawing on a comprehensive analysis of empirical…

Project-based learning (PBL) empowers students to become active learners. In this work computational reverse osmosis (RO) projects developed from industrial case studies and research were implemented in several chemical engineering courses to enhance student learning experience. Students not only gained knowledge in water treatment, but also…

This research aims to investigate the construction of the area of rectangle with GeoGebra and how students can formulate it. It focuses on describing the cognitive process involved in constructing this concept and how technology mediates such a process. The research was conducted in a classroom with 5th grade students in a secondary school and was…

In this research, we investigated whether the use of GeoGebra Augmented Reality (AR) can foster students in conceptualising a mathematical object by manipulating its different semiotic representations. We designed and implemented, with thirty university mathematics students, a teaching sequence on paraboloids using GeoGebra AR supported by…

The quality of the data and the amount of correct information available is key to informed decision-making. Higher education institutions (HEIs) often employ various decision support systems (DSSs) to make better choices. However, there is a lack of systems to assist with decision-making to promote innovation in teaching and learning. In this…

This interdisciplinary book uses key examples and specific case studies from the 'Trailblazers' of Anglia Ruskin University, UK, to address the successes and challenges experienced during the creation, development, and running of breadth modules. It's been carefully written to support anyone looking to implement this innovative method into their…

The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…