Misinformation exposure can cause inaccurate beliefs and memories. These unwanted outcomes can be mitigated when misinformation reminders--veracity-labeled statements that repeat earlier-read false information--appear before corrections with true information. The present experiment used eye tracking to examine the role of attention while encoding…

As online learning platforms become more popular and deeply integrated into education, understanding their effectiveness and what drives that effectiveness becomes increasingly important. While there is extensive prior research illustrating the benefits of intelligent tutoring systems (ITS) for student learning, there is comparatively less focus…

The preparation of student teachers to be effective teachers of writing requires attention to both their writing skills and their personal confidence. When teachers have confidence in themselves as writers and strong writer identities, they are likely to better placed to develop strong writer identities in their own students. It is suggested…

Existing systems for automating the assessment of risk-of-bias (RoB) in medical studies are supervised approaches that require substantial training data to work well. However, recent revisions to RoB guidelines have resulted in a scarcity of available training data. In this study, we investigate the effectiveness of generative large language…

With the aim of engaging more students in meaningful thinking in mathematics, a cohort of Year 7 students were introduced to a 'Building Thinking Classrooms' framework for learning in mathematics. In this paper, the authors outline the key features of the implemented framework and share reflections on challenges and benefits.

Background: Randomized controlled trials (RCTs), or experiments, are the gold standard for intervention evaluation. However, the main appeal of RCTs--the clean identification of causal effects--can be compromised by interference, when one subject's actions can influence another subject's behavior or outcomes. In this paper, we formalize and study…

This paper examines the contributions of mapping research to critical qualitative research methodology. Mapping research is introduced, along with its history, the prevalence of geo- and socio-spatial theoretical frameworks used with the methodology, and the predominant framing of mapping research in the field of education. The main goal of this…

Previous survey research has found that prompt interventions for speeding and straightlining were effective at reducing these undesirable response behaviors in web surveys. However, the effects of prompt interventions on data quality measures are mixed, and it is unclear how prompt interventions affect key survey estimates. We conducted an…

Can critical questions and complicated conversations addressing issues of representation, difference, and witnessing be positioned at the centre of a TYA curriculum? This article examines contemporary, issue-based and culturally specific TYA scripts. In addition, a collection of aesthetic representations are offered as dynamic prompts to help…

Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more 'Generative-AI-resistant' and to focus on assessing students on higher order…

In the PISA 2022 creative thinking test, students provide a response to a prompt, which is then coded by human raters as no credit, partial credit, or full credit. Like many large-scale educational testing frameworks, PISA uses the generalized partial credit model (GPCM) as a response model for these ordinal ratings. In this paper, we show that…

Aim/Purpose: This article investigates the process of identifying and correcting hallucinations in ChatGPT-4's recall of student-written responses as well as its evaluation of these responses, and provision of feedback. Effective prompting is examined to enhance the pre-evaluation, evaluation, and post-evaluation stages. Background: Advanced Large…

Providing opportunities for students to talk directly with their peers is a critical dimension to facilitating discussions in mathematics and science, including argumentation-focused discussions in which students construct arguments and critique others' arguments. Research suggests that supporting student-to-student talk and facilitating…

Despite the growing use of large language models (LLMs) in educational contexts, there is no evidence on how these can be operationalized by students to generate custom datasets suitable for teaching and learning. Moreover, in the context of network science, little is known about whether LLMs can replicate real-life network properties. This study…

Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…