As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant attention. However, the scarcity of open-source online tools that are capable of providing personalized feedback has restricted the widespread implementation of…

Observation tools that measure the quality of children's classroom experiences are a key component of pre-K quality improvement initiatives. However, the information provided by these tools has limitations for improving the quality of instruction for the full range of pre-K program types, even when supported by an instructional coach. This report…

Background/purpose: Assessment for Learning is an integral part of the learning process that provides feedback and improves teaching methods. Teachers experience problems such as limited conceptual understanding, difficulties in designing instruments, and time constraints. This study aims to develop and validate an innovative platform for…

Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…

The higher education shift to remote learning due to mobility restrictions imposed during the COVID-19 pandemic highlighted the need to improve the student learning experience using more active learning models. One model is peer assessment. Despite positively impacting student learning, peer assessment uptake remains low, partly because designing…

Formative assessments, such as exit tickets, are effective tools for enhancing student reflection and understanding. While prevalent in K-12 education, their application in higher education remains underexplored. This study investigates the implementation of exit tickets in an undergraduate Principles of Marketing course, aiming to evaluate their…

Background/purpose: This study addresses the challenge of engaging students in meaningful assessment processes within mathematics education, particularly in pre-university preparatory courses. Peer assessment, a growing pedagogical practice, can enhance learning outcomes, promote critical thinking, and improve collaborative skills. However,…

Purpose: This paper aims to show how an Academic Literacies lens can contribute to a deeper understanding of writing for a professional doctorate (PD) by focusing both on the language of supervisors' written feedback and on student and supervisor perspectives on feedback throughout Year 1 (Y1). Design/methodology/approach: Firstly, written…

The global impact of the COVID-19 pandemic has prompted a significant shift toward online Education. However, this transition has raised concerns about assessment, distance learning effectiveness, and student workload. These pandemic-induced conditions may also lead to ethical challenges in education. Despite existing research on ethical issues in…

This study investigates the impact of a professional development programme in formative assessment (FA) for high school mathematics teachers. Through a collaborative approach between researchers and in-service teachers, a 16-week online course was designed focusing on feedback strategies, peer co-assessment, and student engagement. A mirrored…

Alternative assessment approaches, such as pass/fail and feedback-based designs, aim to reduce academic stress and foster deeper learning. Few studies have examined feedback-based evaluation in formative settings in medical education, but none among graduate anatomy students. This exploratory study investigated the impact of feedback-based versus…

Purpose: In 2022 generative AI took the Internet world by storm. Free access to tools that can generate text and images that pass for human creations triggered fiery debates about the potential uses and misuses of generative AI in education. There has risen a need to check the popular utopian and dystopian narratives about AI against the diversity…