We design a generative adversarial network (GAN)-based pencil drawing learning system for art education on large image datasets to help students study how to draw pencil drawings for images and scenes. The system generates a pencil drawing result for a natural image based on GAN. The GAN network is trained on pencil drawing big datasets containing…

With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…

Mathematical problem solving is a complex cognitive activity, which poses difficulties for students with and without disabilities in inclusive learning environments. With a variety of functions, Learning Management Systems (LMSs) have the potential to enhance personalized learning to meet the diverse needs of all students. This paper provides…

Ten years after the announcement of the "rise of the super experiment" at Educational Data Mining 2012, challenges to implementing "internet scale" educational experiments often persist for educational technology providers, especially when they seek to test substantive instructional interventions. Studies that deploy and test…

In a context where current forms of governance and polity across many societies are engaging with 'platformisation', the paper argues that the utility and consequences of using a theory of pedagogy can provide a different way to explain how digital technology might 'determine' subjectivity. This paper describes the key process of how platforms…

This action research project aimed to introduce and examine the impact of Professional Learning Communities (PLCs), the Meeting Wise Process, and the Data Wise Process on teaching practices at a Chinese middle school. PLCs, a collaborative model for continuous professional development, have been widely adopted in various educational contexts but…

Sources of information are growing as a result of the changing technology landscape in our learning environments. This presents an opportunity to leverage information in new ways to benefit students and faculty by illuminating different aspects of the practice of teaching. For this information to have an impact, it is first necessary to understand…

This study analyses the potential of a learning analytics (LA) based formative assessment to construct personalised teaching sequences in Mathematics for 5th-grade primary school students. A total of 127 students from Spanish public schools participated in the study. The quasi-experimental study was conducted over the course of six sessions, in…

Leveraging technological tools in educational research expands investigations into participants' behaviors and provides insights into learning patterns and teaching effectiveness through innovative data collection and analysis methods. Using keylogging data software, this study explored trainee translators' process and product behaviors under two…

With the development of big data technology, higher education is transitioning towards intelligence and ecology. University English teaching, constrained by traditional models, faces challenges such as unmet student needs, inefficient resource allocation, and insufficient teacher-student interaction. Big data, through data collection, real-time…

Singapore University of Technology and Design (SUTD) is embarking on an educational innovation program called SUTD campusX to support its future of education. SUTD campusX aims to innovate new educational models, technology tools, and pedagogies for a new form of learning called "Cyber-Physical Learning", where the concept is that both…

The purpose of this study is to examine cross-national differences in students' exploration strategies in a computer-simulated CPS (complex problem-solving) environment and to identify similarities and qualitative differences in the way Hungarian and Chinese students explore a CPS environment. In a sample of 187 Chinese and 835 Hungarian students…

Student success efficacy studies are aimed at assessing instructional practices and learning environments by evaluating the success of and characterizing student subgroups that may benefit from such modalities. We develop an ensemble learning approach to perform these analytics tasks with specific focus on estimating individualized treatment…

The pandemic forced many education providers to pivot rapidly their models of education to increased online provision, raising concerns that this may accentuate effects of digital poverty on education. Digital footprints created by learning analytics systems contain a wealth of information about student engagement. Combining these data with…

The optimal measurement of the effectiveness of online translation training courses necessitates a comprehensive evaluation of the translation process and product to fully understand the impact of such courses on trainee translators' behavior. In this study, we employed a one-group pretest-posttest design to assess the effect of a 12-week online…