Purpose: Scholars are increasingly paying attention to the characteristics of effective citizenship education. The systematic use of data to maximise student learning, also called an output-driven approach, is often presented as a powerful predictor of student outcomes. However, its effectiveness has not been studied in citizenship education.…

Students at all levels of education experience difficulties with the concepts of measurement uncertainties. One task that includes concepts of measurement uncertainties is a data comparison problem where students decide whether two datasets are in agreement or not--an authentic scientific practice. To aid students with these concepts and tasks,…

There has been extensive research using centrality measures in educational settings. One of the most common lines of such research has tested network centrality measures as indicators of success. The increasing interest in centrality measures has been kindled by the proliferation of learning analytics. Previous works have been dominated by…

In all areas of human activity, decision-making based on data analysis is very important. As the availability of data grows, it becomes critical to educate not only traditional students but also those individuals who are now in the workforce, as many of them are expected to manage the complex data streams and to provide evidence and guidance for…

More and more domains such as industry, sport, medicine, Human Computer Interaction (HCI) and education analyze user motions to observe human behavior, follow and predict its action, intention and emotion, to interact with computer systems and enhance user experience in Virtual (VR) and Augmented Reality (AR). In the context of human learning of…

This article describes how the Sichuan University - Pittsburgh Institute has embraced new methods and new technologies to ensure high-quality laboratory teaching during the COVID-19 pandemic. Taking Mechanical Measurements 1 course as an example, this paper introduces two lab projects that were successfully transferred into online experiments…

As organizations become increasingly dependent on marketing analytics, universities are adapting their curricula to equip students with skills necessary to operate in data-rich environments. We describe six competencies that students need to become proficient with analytics: (1) assessing data quality, (2) understanding measurement, (3) managing…

With the new school year now well under way, staff, students and families are still in desperate need of a clear strategic direction and set of tools for promoting equity and excellence in a moment of crisis. Nationally, we see school systems stepping up in new ways to provide this clarity, and seizing the moment afforded by these unusual…

At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…

This research was undertaken to determine if significant relationships exist between teachers' self-reported attitudes, concerns, and efficacy to teach in inclusive classrooms and their actual classroom behaviour in Winnipeg, Canada. Five teachers completed 3 scales measuring their attitudes to inclusion, their level of concerns about teaching in…

Nuclear magnetic resonance spectroscopy (NMR) plays a key role in introductory organic chemistry, spanning theory, concepts, and experimentation. Therefore, it is imperative that the instruction methods for NMR are both efficient and effective. By utilizing eye tracking equipment, the researchers were able to monitor how second-semester organic…

Current definitions of STEM skills are inconsistent and not specific enough to inform education and skill policies and initiatives, potentially leading to a number of unsubstantiated and uncoordinated responses. There is a danger of generating a domestic oversupply of graduates in science, mathematics, engineering and technology while ignoring the…

In this rejoinder, the authors provide their thoughts on each of the commentaries of the seven respondents to their article. They find that the response of Kyngdon differs markedly from the others in questioning some basic elements of the methods of analysis that they propose for the construction of a "road map." The authors emphasize that they…

Experiments, as we all know, are especially important in science education. However, their impact on improving thinking could be even greater when applied together with the methods of inquiry-based learning (IBL). In this paper we present our observations of a high-school laboratory class where students used computers to carry out and analyse real…

First-year physics laboratories are often driven by a mix of goals that includes the illustration or discovery of basic physics principles and a myriad of technical skills involving specific equipment, data analysis, and report writing. The sheer number of such goals seems guaranteed to produce cognitive overload, even when highly detailed…