In this paper, we describe a course project in which teams of undergraduate students propose and execute an end-to-end analytics project to solve a real-world problem. The project challenges students to implement machine learning, optimization, simulation, or a combination of these three techniques on real-world data that they collect. A…

In many collegiate level statistics courses, the focus of the learning outcomes is often on the analysis of data after it has been collected. Students are provided with clean data sets from previous studies to practice statistical analysis, but receive little to no application as to the amount of time and effort that goes in to collecting good…

This paper studies the problem of coordination and supervision of virtual teams and their capabilities. The goal is to develop a model suitable for managing virtual student teams specialized in the development of smart environments. The developed model is based on SAFe and DevOps, which when combined provide us with a framework for the evaluation…

Water analysis is an excellent interdisciplinary topic for project-based learning. An undergraduate course was designed to engage the senior undergraduate chemistry students in a real-life experience. In this course, students developed methodologies based on published American Society for Testing and Materials (ASTM) methods for the measurement of…

An undergraduate-level Computational Chemistry project was incorporated initially into a Physical Chemistry course and then into the laboratory curriculum in the subsequent application. Before the introduction of the project, the lectures covered quantum chemistry, spectroscopy, and kinetics while simultaneously including computational chemistry…

This study highlights the necessity and effects of using worksheets to identify and correct potential gaps, to validate prior knowledge that will be related to new information, concepts, or procedures, as well as the use of portfolios for gathering, selecting, and structuring information to be utilized in later stages. The study involved 79…

Implementing collaborative action research (CAR) is recognized as an effective strategy for transforming professional practice through evidence-based methods. How can CAR be carried out online, and how is data collected through digital methods? This case study will address these aspects in the context of a CAR, international professional…

Hypothesis generation is an important but difficult process for students. This study investigated the effects of providing students with support for hypothesis generation, with regard to the testability and complexity of the generated hypotheses, the quality of the subsequent inquiry learning processes and knowledge acquisition. Fifty-two…

The increasing use of massive data requires effective teaching strategies for business analytics. The discipline combines analytical skills, information technology, and business-domain knowledge, and is challenging to teach to business students. This research demonstrates that business undergraduate students can benefit from an experiential…

The Student Participation Observation Tool (SPOT) is a web-based classroom observation protocol developed for higher education STEM courses and based on research on evidence-based practices. The low-inference and objective nature of the SPOT and visual outputs make it an optimal tool for teaching professional development. The SPOT allows novice…

This paper describes the evolution of "recognition of need for data" and "strategical thinking", two types of thinking identified by Wild and Pfannkuch in their Framework for Statistical Thinking in Empirical Enquiry, as well as its relevance for math teacher professional development. The research was carried out with ten…

The California Blackworm ("Lumbriculus variegatus") is a freshwater segmented worm species that has been used by biology instructors as a model system for inquiry-based student investigations. The blackworm dorsal blood vessel pulsation rate is easily quantified. Moreover, this species can facilitate the study of neuromuscular…

Statistics education has the potential to assist students to develop their identities and engage in problems and social contexts that assist in empowering them to act politically in the future. The actions and narrative reported in this paper seek to identify the way in which teachers could develop and implement statistical inquiries that utilize…

This paper reflects on an attempt to introduce smartphones into a blended learning context and highlights several methodological considerations relevant to the collection of mobile data. While mixed methods are now common, using this approach for investigating the challenges of mobile data collection is not as common. This study employed a mixed…

Inspiring children to pursue a career in science is a worthy pursuit for many reasons. One way to achieve this is to actively engage children in science, technology, engineering, and mathematics (STEM) learning from an early age. However, it is not always possible to integrate all the STEM fields in one activity. Rather, careful consideration of…