This article discusses the key elements of the Data Science Technology course offered to postgraduate students enrolled in the Master of Data Science program. This course complements the existing curriculum by providing the skills to handle the Big Data platform and tools, in addition to data science activities. We tackle the discussion about this…

Background/purpose: This study addresses challenges in graduate research supervision by developing and evaluating an AI chatbot research coaching system designed through Design Thinking and Educational Design Research. The research aimed to examine system usability, perceived value, and alignment between user experiences and original design…

The integration of artificial intelligence (AI) tools such as ChatGPT has significantly transformed approaches to vocabulary acquisition and autonomous learning, particularly in high-stakes educational contexts. This study investigates how competitive exam aspirants in Visakhapatnam perceive the effectiveness of ChatGPT for vocabulary development…

Ray tracing is a computer graphics technique used to produce realistic visuals by physically simulating the behavior of light. Although this technique can be described straightforwardly, fully comprehending it might be challenging. It is typically taught in the classroom using the 2-D formats, such as paper or a blackboard. We propose using…

Computational chemistry instructional activities are often based around students running chemical simulations via a graphical user interface (GUI). GUI-based activities offer many advantages, as they enable students to run chemical simulations with a few mouse clicks. Although these activities are excellent for introducing students to the…

Micro-credentialing is rapidly growing globally as learning that is both life-long and lifewide and this has only accelerated due to COVID-19. To understand what this means for higher education, The Australasian Council on Open, Distance and eLearning has conducted two surveys on the implementation and practice of micro-credentialing in the…

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…

In this work, two exercises are described that are designed to teach students about the evolution and behavior of the electronic bands of graphene and bilayer graphene. These exercises involve performing extended Hückel molecular orbital theory calculations on polyacenes and polycyclic aromatic hydrocarbons. In the first exercise, students…

This research explored how K-16 educators learned physical computing, and developed as maker-educators in an online graduate course. With peer support and instructor guidance, these educators designed maker projects using Scratch and Makey Makey, and developed educational maker proposals with plans of teaching the topics of their choice in STEAM…

In this work we are going to present how an interactive platform can be used as a powerful tool to allow students to better explore a foundational problem in quantum chemistry: the application of the variational method to the dihydrogen molecule using simple Gaussian trial functions. The theoretical approach for the hydrogen atom is quite…

Student engagement is a prerequisite for successful learning. Due to the tremendous change in the use of information and communication technologies, the nature of this engagement has had to adapt to fit a hybrid approach of teaching and learning. In this qualitative study, three focus group discussions were conducted that aimed to investigate…

The ever-increasing impact of molecular quantum calculations over chemical sciences implies a strong and urgent need for the elaboration of proper teaching strategies in university curricula. In such perspective, this paper proposes an extensive project for a student-driven, cooperative, from-scratch implementation of a general Hartree-Fock…

Drawing on the experience of training graduate students and researchers in qualitative and mixed-methods analysis since the mid-1990s, the authors reflect on the evolution of a multidisciplinary graduate course developed in a Canadian university since 2007. The hands-on/hands-off course design based on the use of NVivo was developed in parallel…

Advances in, and dissemination of, computer technologies in the field of drug research now enable the use of molecular modeling tools to teach important concepts of drug design to chemistry and pharmacy students. A series of computer laboratories is described to introduce undergraduate students to commonly adopted "in silico" drug design…

The gap between graduate research and introductory undergraduate teaching laboratories is often wide, but the development of teaching activities rooted within the research environment offers an opportunity for undergraduate students to have first-hand experience with research currently being conducted and for graduate students to develop…