STEM education has received increasing attention in recent years. However, developing
valid and reliable assessment of interdisciplinary learning in STEM has been a challenge …

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 …

Involving students in scientific modeling practice is one of the most effective approaches to
achieving the next generation science education learning goals. Given the complexity and …

Abstract Penelitian ini bertujuan untuk:(1) mendeskripsikan karakteristik lembar kerja
peserta didik (LKPD) inkuiri terbimbing;(2) mengetahui kriteria kelayakan LKPD inkuiri …

Recent research on teacher professional development (PD) underscores the importance of
the coherence of PD with standards, curriculum, and assessment. Teachers' judgments of …

Informed by decades of research and standards-based policies, there has been a growing
demand for high-quality teaching and learning in mathematics and science classrooms …

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 …

Assessments that function close to classroom teaching and learning can play a powerful role
in fostering academic achievement. Unfortunately, however, relatively little attention has …

As cutting-edge technologies, such as machine learning (ML), are increasingly involved in
science assessments, it is essential to conceptualize how assessment practices are …

Contemporary views on learning highlight that deep learning occurs not simply by
accumulating knowledge, but by using and applying knowledge as one engages in …