Data mining (DM) is an in-depth approach to data analysis by mining useful information from large amounts of data, and this technique is now being used in an increasing number of fields. In this paper, the authors present the design of a real-time data analysis system for sports training based on DM technology and use the corresponding mining…

With the rapid advancement of information technology, online education based on big data and artificial intelligence is a hot research topic in education. This study focuses on applying big data and AI in online vocal wisdom classes to enhance personalized teaching and effectiveness. It aims to address issues in traditional vocal education like…

Teaching practical skills is of particular interest in the study of human medicine. With regard to medical statistics this means the use of statistical software, which may be effectively taught by a flipped classroom approach. As a pilot study, we designed and implemented an elective course on medical statistics that focused on hands-on data…

Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…

Partnership models have been effective across many areas of higher education such as involving students as teaching and learning consultants, in course design and redesign, and as co-instructors. However, there are few systems-level (i.e., entire programs or institutions) examples of partnership work and virtually none in systems-level assessment.…

In recent years, the use of student data has become increasingly concerned with management of teacher performance. However, when teachers become aware of specific student data directly related to their approach of teaching, it could inform them about possible strengths, weaknesses or challenges. Unfortunately, teachers generally have little time…

Monitoring, evaluation, and research activities generate important data, but they often fail to change policies or programs. In addition, local program staff and partners often feel disconnected from these activities, which undermines their ownership of data and results. To bridge the gaps between monitoring, evaluation, and research and to give…

In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey…

Learning Dashboards display analytics pertaining to student performance and attainment, often alongside scores for the class cohort average. Little research has considered the effects of this social comparison information on students' well-being, motivation, and engagement. The current study presented participants with hypothetical data that…

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…

Adaptive Learning Technologies (ALT) and Learning Analytics (LA) are expected to contribute to the customisation and personalisation of pupil learning by continually calibrating and adjusting pupils' learning activities towards their skill and competence levels. The overall aim of the study presented in this paper was to obtain a comprehensive…

Drawing on a community-university (CU) partnership between a non-profit organization that serves teen families, a housing organization and a university, this paper discusses the opportunities and challenges that can arise when engaging vulnerable youth in research. Through this paper, we share reflections on promising practices and ethical…

The unforeseen school closures in response to COVID-19 have brought unique challenges to teachers, who were required to not only flexibly shift between on- and off-line learning but also safely promote student-centered and collaborative learning in socially distanced remote and on-campus classrooms. Teachers in South Korea, one of the first…

The rapidly growing number of learning materials and repositories makes the issue of how to find the most relevant and best quality resources to be integrated in teaching and learning offers. Thus, effective quality assessment tools are more and more needed. In the present paper, a case-study focusing on quality assurance in a Virtual Mobility…

This study aims to analyze whether subsidies provided by the Indonesian conditional cash transfer against child labor program (Program Keluarga Harapan: PKH) were sufficient for children to stop working and go back to schooling. Ex-post evaluations of the program found that it did not improve children's enrollment rate and reduce child labor…