Vision classification tasks, a fundamental and transformative aspect of deep learning and computer vision, play a pivotal role in our ability to understand the visual world. Deep learning techniques have revolutionized the field, enabling unprecedented accuracy and efficiency in vision classification. However, deep learning models, especially…

The advent of global citizenship agendas marks a transformation in citizenship education policy and practice internationally. However, research has revealed a highly diverse collection of visions and models for global citizenship. This article seeks to make two main contributions to the study of global citizenship in education. Empirically, it…

An extensive literature has been produced to interpret the transformations that have taken place in education as an expression of the expansion of neoliberal rationality in public policies. This study adopts a mixed method, combining quantitative (text mining) and qualitative approaches (computer-assisted discourse analysis), with the aim of…

Developing tailored implementation strategies to increase the use of evidence-based practice (EBP) requires accurate identification of predictors of their use. However, known difficulties with measuring EBP use complicates interpretation of the extant literature. In this proof-of-concept study, we examined whether the same predictors of use of…

Modern educational technology systems allow learners to access large amounts of learning materials such as educational videos, learning notes, and teaching books. Automated summarization techniques simplify the access and exploration of complex data collections by producing synthetic versions of the original content. This paper addresses the…

Social annotation plays a crucial role in nurturing and sustaining a collaborative reading community, offering the potential to enhance students' motivation and performance within socially supportive learning environments. Nonetheless, research on the dynamic changes in student engagement in social annotation remains limited. This study aims to…

Policy implementation has presented the Nigerian educational system with countless obstacles cum problems. This research explored the principles and problems of policy implementation reconsiderations for effective secondary school administration. The study adopted a descriptive research design. The study population was 286 principals. The study…

A crucial bottleneck in medical artificial intelligence (AI) is high-quality labeled medical datasets. In this paper, we test a large variety of wisdom of the crowd algorithms to label medical images that were initially classified by individuals recruited through an app-based platform. Individuals classified skin lesions from the International…

Purpose: In 2016, the Council on Education for Public Health (CEPH) created a new accreditation criterion to address faculty instructional effectiveness. This criterion asks schools and programs in public health to document their systems, policies and procedures to ensure faculty are current in their area of instructional responsibility and in…

Upvotes serve important purposes in online social annotation environments. However, limited studies have explored the influential factors affecting peer upvoting in online collaborative learning. In this study, we analysed the factors influencing students' upvotes received from their peers as 91 participants utilized Perusall, an online social…

A well-structured memorandum of understanding (MOU) documents key legal and operational aspects of an institution-foundation partnership. It serves important legal functions by specifying roles and responsibilities, appropriate use of state resources, and policies and practices supporting good stewardship, transparency, and alignment. An inclusive…

This article explores advocacy practices that support teachers' integration of play and playful learning in their classrooms. Activism is a well-documented transformative aspect of the teaching profession (e.g.), which is recently experiencing heightened political pressures. At the same time, COVID-19 exacerbated existing inequities in early…

With the increased popularity of electronic textbooks, there is a growing interest in developing a new generation of "intelligent textbooks," which have the ability to guide readers according to their learning goals and current knowledge. Intelligent textbooks extend regular textbooks by integrating machine-manipulable knowledge, and the…

The American School District Panel (ASDP) is the newest addition to the RAND Corporation's American Educator Panels (AEP) and was designed to survey district leaders several times each school year. RAND recruits ASDP members using probabilistic sampling methods, which allow researchers to weight survey results to generalize to the national…

Actionability is a critical issue in learning analytics for driving impact in learning, bridging the gap between insights and improvement. This dissertation places actionability at the forefront, integrating it throughout the learning analytics process to fully leverage its potential. The study involves designing, developing, and implementing…