The recent popularity of benchtop (BT) NMR systems has prompted its applications in undergraduate laboratories around the world. Owing to their low maintenance cost, due to the lack of a superconducting magnetic core, and simple operation, these BT NMR systems can fulfill many of the learning objectives outlined in the undergraduate organic…

The interview experience is only one component of the process of interviewing -- software programmes can coordinate the pre-interview steps and begin a digitally-mediated relationship with participants long before the actual interview commences. This essay provides examples of how researchers can maximise their time and energy by digitally…

The present study examined the impact of professional development training on Canadian and Kenyan teachers' confidence, comfort, and perceptions of their abilities to teach early literacy skills in the primary or elementary grades. Data were collected prior to and following training on how to integrate early literacy software as part of ongoing…

Software vulnerabilities have become a severe cybersecurity issue. There are numerous resources of industry best practices available, but it is still challenging to effectively teach secure coding practices. The resources are not designed for classroom usage because the amount of information is overwhelming for students. There are efforts in…

Segmentation reduces learners' cognitive load by inserting system-controlled pauses into instructional animations and video. However, many previous studies focus on conceptual knowledge, and do not allow users control over the pacing of instruction. This two-part experiment attempted to validate segmentation in the context of procedural software…

The purpose of this paper is to analyze the effectiveness of Scrum for project and team management in PBL teams in higher education. To attain this goal, a study was carried out to analyze students' perceptions about Scrum as an effective method for PBL teams. Based on two different editions of PBL that used the Scrum method with different…

As the COVID-19 crisis disrupts students' sense of community and appreciation for in-person instruction, the author presents a pedagogical experiment involving several collaborative, team-based learning strategies to engage all learners, regardless of location. Students in a sophomore-level required seminar are tasked with various team-based…

A Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for data analytics, including Pandas, NumPy, MatPlotLib, and ScikitLearn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history,…

This paper draws on social constructivism and the domestication model and investigates pre-service teachers' perceptions of the usefulness of Microsoft Teams for remote learning. This research is part of a descriptive cross-sectional study. It is neither causal nor relational. The participants comprised of 215 undergraduate pre-service teachers…

Time has contributed to most of our daily activities. In the field of understanding how the human brain reacted to specific learning processes, the neuroscientist supports the impact of having multiple learning sessions with the retention of knowledge. Spaced Learning is a product makes out of human's lack of capacity in retaining information and…

This quasi-experimental study sought to investigate the effects of the motivational adaptive instruction on Malaysian students' motivation towards mathematics in a technology-enhanced learning classroom. Geometer's Sketchpad is used in the study to foster a technology-enhanced learning environment. The motivationally adaptive instructions were…

While chemistry exists in three dimensions, it is presented in two. This down-conversion results in a significant loss in information and often necessitates multiple images/figures to convey the complexity, intricacy, and beauty of a given structure. Currently, three-dimensional models are built to allow students to interact with molecules.…

Background: Standard methods for analysing data from large-scale assessments (LSA) cannot merely be adopted if hierarchical (or multilevel) regression modelling should be applied. Currently various approaches exist; they all follow generally a design-based model of estimation using the pseudo maximum likelihood method and adjusted weights for the…

This article describes the use and advantages of the MATLAB-based program ReshmoBeam, developed to perform beam analysis, as it is done in statics courses of engineering curricula. An important goal of the article is to facilitate the dissemination of the program among faculty teaching these courses. The program is offered free to interested…

Background and Context: This study looks at computational thinking (CT) assessment of programming artifacts within the context of CT integrated with science education through computational modeling. Objective: The goal is to explore methodologies for assessment of student-constructed computational models through two lenses: functionality and…