Progress monitoring data provide important information on student functioning in response to an intervention. Yet, there are several barriers to effective progress monitoring of internalizing symptoms among youth. To address these concerns, the current paper conceptualized the use of ecological momentary assessment (EMA) as a service delivery…

Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…

This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…

Practical educational assessment tools for adolescents champion student voice, use technology to enhance engagement, highlight discrepancies in school experience, and provide actionable feedback. We report a series of studies that detail an iterative process for developing a new school climate assessment tool: (1) item generation that centres…

In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…

Comparative Judgement (CJ) has emerged as a technique that typically makes use of holistic judgement to assess difficult-to-specify constructs such as production (speaking and writing) in Modern Foreign Languages (MFL). In traditional approaches, markers assess candidates' work one-by-one in an absolute manner, assigning scores to different…

Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…

Background and Context: Computational Thinking (CT) has been recently integrated into new and revised Digital Technologies content (DTC) in the Technology learning area of the New Zealand School Curriculum. Objective: To aid this change, this research examined how CT supports learning outcomes in both music and programming with the Sonic Pi…

While literacy research in the area of multimodality includes a range of communication modes, the combination of the visual and verbal modes is arguably the most common multimodal text form used in classroom contexts from posters, charts and information texts to picture books and graphic novels. Assessment of students' understanding of visual and…

The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…

The purpose of this study is to provide students with a 21st century training that can be easily applied to industrial automation training, both online and in person, and that goes beyond traditional learning methods. It involves creating and programming a training package that is compatible with the Ministry of National Education (MEB)…

Assessment is a useful process as it provides various stakeholders (e.g., teachers, parents, government, employers) with information about students' competence in a particular subject area. However, for the information generated by assessment to be useful, it needs to support valid inferences. One factor that can undermine the validity of…

Through Many-Facet Rasch analysis, this study explores the rating differences between 1 computer automatic rater and 5 expert teacher raters on scoring 119 students in a computerized English listening-speaking test. Results indicate that both automatic and the teacher raters demonstrate good inter-rater reliability, though the automatic rater…

This case study describes methods and rationales for measuring attitudes toward physical education in high school students. Due to the nature of physical education experiences in schools, there may be both consciously considered (explicit) and less conscious (implicit) forces on attitudes. A full understanding of attitudes toward physical…

Middle- and high-school students' attitudes towards online peer-assessment were described and examined in this study. One hundred and eighty-four (184) students answered a 16-item questionnaire about their experiences with an online peer-assessment tool called peerScholar. Overall, students in Canada converged with those in other countries with…