The eChem project features an e-book published as a web page (10.30746/978-91-988114-0-7), collecting a repository of Jupyter notebooks developed for the dual purpose of explaining and exploring the theory underlying computational chemistry in a highly interactive manner as well as providing a tutorial-based presentation of the complex workflows…

With the global increase of infections caused by antibiotic-resistant bacterial strains, there is an urgent need for new methods of tackling the issue. Genomic analysis of bacterial strains can help to understand their virulence and antibiotic resistance profile. Bioinformatic skills are in great demand across the biological sciences. We designed…

Traditional education often relies on passive learning approaches, whereas modern medical students increasingly seek interactive, technology-enhanced experiences. Despite the growing use of digital tools in anatomy education, there remains a lack of structured, student-centered 3D modeling courses embedded within the undergraduate medical…

People with disabilities rely on a range of accessible technologies to interface with the digital world. However, their needs are often not considered when developing applications in introductory computer sciences courses. These courses traditionally focus on teaching technical skills that do not include those for designing and developing…

The integration of Internet of Things (IoT), Artificial Intelligence (AI), and cybersecurity presents new opportunities for innovation and entrepreneurship, yet traditional educational approaches often lack the interdisciplinary and applied focus required to develop these competencies. This study evaluates the impact of an experiential learning…

Over the last 20 years, statistics preparation has become vital for a broad range of scientific fields, and statistics coursework has been readily incorporated into undergraduate and graduate programs. However, a gap remains between the computational skills taught in statistics service courses and those required for the use of statistics in…

Data visualization is a complex matter and so is teaching it in the context of engineering and data science. Even more challenging is teaching in a midst of once in a century pandemic. In this paper, we show the results of a workshop conducted with second-year students on a university degree in data science, which took place in the context of…

Despite the varied approaches to qualitative data analysis software (QDAS) instruction, teaching QDAS remains a challenge as students' skills with digital tools and understanding of qualitative research vary. In this paper, we report on our experiences providing QDAS instruction via an introductory NVivo 11 workshop to graduate students. To report…

The statistical computing and graphics software R, despite its many advantages, is sometimes considered too complex to be introduced to undergraduate political science majors. In this article I showed that when taught appropriately, R could be a valuable and well-received aspect of an introductory research methods course. It is important to teach…

Industrial drug discovery teams encompass scientists from multiple specialties and require participants to communicate effectively across disciplinary boundaries. In this paper, we present an undergraduate or graduate classroom simulation of this environment. Over a series of five workshops, student teams of mixed scientific backgrounds perform…

This study focuses on the challenges encountered in online cybersecurity education. It adopts an exploratory research design using a mixed-methods approach to investigate the perceptions and experiences of postgraduate students enrolled in an online cybersecurity program. The collection of data is structured into two distinct phases. In the…

Data-handling, processing, and analysis skills are an integral part of a chemist's skill set and, more generally, are highly sought by employers. We report a self-directed workshop to develop and advance these key skills using the popular spreadsheet program Microsoft Excel. Making use of its accessible user interface, various contextualized…

Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…

This award-winning text translates the theoretical foundations of solution-focused counseling into a brief, culturally responsive approach for school counselors, psychologists, social workers, and graduate students. As an experienced practitioner and international presenter on this topic, Dr. Murphy has organized the fourth edition to reflect…

Aim: This study aimed to describe the practices and perceptions of nurse educators when developing NGN-style test items. Methods: This study used a qualitative descriptive methodology to explore the practices and perceptions of nursing faculty when developing NGN-style test items from nursing faculty in accredited prelicensure programs in the…