From unique educational perspectives, this article reports a comprehensive review of
selected empirical studies on artificial intelligence in education (AIEd) published in 1993 …

Teacher feedback provided to learners in real-time is a crucial factor for their knowledge and
skills acquisition. However, providing real-time feedback at an individual level is often …

Penelitian yang baik didasarkan pada kebutuhan dari masyarakat untuk mengisi
kekosongan pengetahuan sebelumnya, menemukan jawaban dari pertanyaan-pertanyaan …

Machine learning (ML) is an emergent computerised technology that relies on algorithms
built by 'learning'from training data rather than 'instruction', which holds great potential to …

Text-based open-ended questions in academic formative and summative assessments help
students become deep learners and prepare them to understand concepts for a subsequent …

This study develops a framework to conceptualize the use and evolution of machine
learning (ML) in science assessment. We systematically reviewed 47 studies that applied …

Abstract Argumentation is fundamental to science education, both as a prominent feature of
scientific reasoning and as an effective mode of learning—a perspective reflected in …

Abstract Argumentation is a core practice of science that inherently contains uncertainty.
Relatively few studies have examined the role of uncertainty within argumentation and how …

Technologies and teaching practices can provide a rich log data, which enables learning
analytics (LA) to bring new insights into the learning process for ultimately enhancing …

Learning analytics aims to analyze data from students and learning environments to support
learning at different levels. Although learning analytics is a recent field, it reached a high …