Online learning in civic education (OLCE) has been going on since the 2000s. It has become an increasingly interesting topic in light of recent technological advances and emergencies, and it contributes to improving the quality of learning processes and outcomes. This study aimed to track the publication trends of OLCE in the Scopus database…

While generative artificial intelligence (AI) tools are gradually being integrated into educational practice, their actual usability in classroom settings remains insufficiently understood. This mixed-methods research was designed as a small-sample pilot study, offering preliminary insights to inform a future large-scale scientific evaluation. The…

This study moves beyond theoretical frameworks to empirically analyse artificial intelligence (AI) literacy among undergraduate students, identifying distinct performance profiles to inform educational interventions. Using a validated, performance-based instrument, we assessed the functional, technical and socio-critical competencies of 353…

The integration of artificial intelligence (AI) into academic writing is reshaping how scholars conduct research and produce knowledge. This article explores how generative AI tools, such as ChatGPT, are transforming the writing process, from ideation and drafting to revision and dissemination. Focusing on higher education, it considers how these…

As artificial intelligence (AI) becomes more integrated into higher education, faculty must critically examine how these tools affect instructor--learner engagement. AI offers meaningful benefits, such as adaptive learning, personalized feedback, and predictive analytics, which can support inclusive, efficient instruction. However, the…

Low birthweight children are at risk for motor, language and cognitive delay in early childhood. The aim of the present study is the examination of cognitive skill development among 4-year-old preterm and low birthweight children in relation to demographical and perinatal variables. We utilized the Wechsler Preschool Primary Scales of…

Children's ways of learning are as different as the colors of the rainbow. All children have different personalities, preferences and tastes; they all have a certain way they prefer to learn. Teachers and parents need to be aware of and value these differences. Children's brains develop faster from birth to age three than any other time, and more…

In an era where holistic education is gaining prominence, spiritual intelligence is emerging as a critical yet under-assessed component of students' personal and social development. This study aimed to develop and validate the Spiritual Intelligence Assessment Tool (SIAT) for cross-cultural application in faith-based educational settings across…

Recently, with the advancement in 2D imaging techniques and 3D visual sensors such as LiDAR, RGB-D cameras, etc. The use of 2D and 3D data is ubiquitous in various fields like autonomous driving, AR, and VR. Therefore, we are faced with an ever-increasing demand for approaches toward the automatic processing and analysis of data from multiple…

We propose an innovative, effective, and data-agnostic method to train a deep-neural network model with an extremely small training dataset, called VELR (Voting-based Ensemble Learning with Rejection). In educational research and practice, providing valid labels for a sufficient amount of data to be used for supervised learning can be very costly…

Massive Open Online Courses (MOOCs) make high-quality learning accessible to students from all over the world. On the other hand, they are known to exhibit low student performance and high dropout rates. Early prediction of student performance in MOOCs can help teachers intervene in time in order to improve learners' future performance. This is…

Multimodal imaging studies targeting preschoolers and low-functioning autism spectrum disorder (ASD) patients are scarce. We applied machine learning classifiers to parameters from T1-weighted MRI and DTI data of 58 children with ASD (age 3-6 years) and 48 typically developing controls (TDC). Classification performance reached an accuracy,…

Social sciences expose many cognitively complex, highly qualified, or fuzzy problems, whose resolution relies primarily on expert judgement rather than automated systems. One of such instances that we study in this work is a reflection analysis in the writings of student teachers. We share a hands-on experience on how these challenges can be…

In online courses, discussion forums play a key role in enhancing student interaction with peers and instructors. Due to large enrolment sizes, instructors often struggle to respond to students in a timely manner. To address this problem, both traditional machine learning (ML) (e.g., Random Forest) and deep learning (DL) approaches have been…

Programming online judges (POJs) have been increasingly used in CS1 classes, as they allow students to practice and get quick feedback. For instructors, it is a useful tool for creating assignments and exams. However, selecting problems in POJs is time consuming. First, problems are generally not organized based on topics covered in the CS1…