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 …

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 …

Artificial Intelligence is widely used across contexts and for different purposes, including the
field of education. However, a review of the literature showcases that while there exist …

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

Analyzing the self-regulatory process of complex science learning is a serious challenge as
it takes considerable time to train coders and do real-time assessment of a learner's …

For middle-school math students, interactive question-answering (QA) with tutors is an
effective way to learn. The flexibility and emergent capabilities of generative large language …

Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems.
Deep learning is an advanced method to deal with recognizing textual entailment tasks in an …

A discussion forum is a valuable tool to support student learning in online contexts.
However, interactions in online discussion forums are sparse, leading to other issues such …

Background With the increasing popularity of distance education, how to engage students in
online inquiry‐based laboratories remains challenging for science teachers. Current remote …

During the COVID-19 pandemic, many students lost opportunities to explore science in labs
due to school closures. Remote labs provide a possible solution to mitigate this loss …