Most researchers receive formal training in frequentist statistics during their undergraduate studies. In particular, hypothesis testing is usually rooted on the null hypothesis significance testing paradigm and its p-value. Null hypothesis Bayesian testing and its so-called Bayes factor are now becoming increasingly popular. Although the Bayes…

This study explores the use of generative AI, specifically ChatGPT, in statistical data analysis and its implications for statistics education at universities of applied sciences. This paper begins with first discussing the future division of labor between humans and machines in the context of statistical data analyses following the widespread…

Background/purpose: This study addresses the lack of statistical thinking skills among Applied College students, a key requirement for professional success. Traditional statistics education focuses on procedural and computational methods rather than conceptual understanding, leading to misconceptions and difficulties in data organization,…

This paper proposes a framework for integrating generative artificial intelligence (AI) tools into statistical training for Doctor of Education (EdD) students. The rigorous demands of doctoral education, coupled with the challenges of learning complex statistical software and coding language, often lead to anxiety and frustration among students,…

"Not only SQL" (NoSQL) databases have become widespread across organizations, enabling sophisticated, data-driven applications to be highly available, distributed, and cloud-based, such as e-commerce, social media, online multiplayer games, and video streaming. However, NoSQL is still sparsely found in MIS and analytics curricula. This…

Quantitative reasoning (QR) competencies are increasingly called for in the data rich and complex environment of STEM disciplines, including biology. Curricular reform efforts in QR have been directed at disseminating course design and pedagogy but less work has been directed at understanding what faculty at large view as crucial for student…

This study investigates the effectiveness of video-based learning compared to traditional text-based methods in distance education for software courses. The research was based on two samples of students (n[subscript 1] = 32, n[subscript 2] = 30) enrolled in the "Fundamentals of PSPP" distance course at the N.B. School of Design and…

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…

The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…

This study created an all-English learning environment for teachers and students by integrating the theoretical framework of the University Competence Assessment Network common competency with the pedagogical method of English as a Medium of Instruction (EMI). The study targeted approximately 45 students, ranging from sophomore to senior, taking…