Learner corpus research has expanded from focusing primarily on English as a second language (L2) to include languages such as L2 Spanish, reflecting the growing importance of corpus linguistics in second language acquisition (SLA) research. In this context, and because prompts are the means by which learner corpora gather their texts, it has…

This dissertation investigates the problem of how variations in the intensity of three selected constructs--multimedia signaling, speed and pacing, and cognitive engagement prompts--affect attention and learning outcomes in online learning environments. The study explores the intersecting cognitive theories of cognitive load, higher order thinking…

Cognitive engagement is an essential component in student learning. With the increase of more asynchronous virtual educational tools in classrooms, there is a need to understand how students are engaging with classroom content in these formats. Several studies have examined student and teacher perceptions of cognitive engagement in virtual…

This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…

Recent advancements in large language models (LLMs) have shown potential in enhancing educational practices, particularly in technology-assisted learning environments. This study critically evaluates the reasoning capabilities of LLMs, such as ChatGPT, within the context of chemistry education. We designed targeted adversarial prompts that…

This article explores human-AI interaction with large language models or conversational agents in complex information tasks with a focus on prompt engineering strategies. The paper reviews the current literature on the use of artificial intelligence (AI) for complex information tasks that are often nonlinear and entail interpretation,…

Research consistently shows the importance of teacher and peer feedback in enabling students to generate internal feedback for improved learning. However, the utilisation of Generative Pre-Trained Transformer (ChatGPT) to support higher education students in generating internal feedback lacks clarity. This qualitative case study aimed to explore…

The emergence of Artificial Intelligence (AI) within the educational context underscores a focal point, especially in the field of STEM education. A key concern lies in the extent to which ChatGPT's responses align with established STEM pedagogy and whether its limitations, such as the absence of citations and reliance on a single perspective,…

Without effective support, students with disabilities experience more exclusionary discipline and benefit less from classroom instruction. Students with disabilities can benefit when teachers implement key classroom positive behavioral interventions and supports (PBIS) practices (e.g., prompts, opportunities to respond, and specific praise), but…

In semantic fluency tasks, participants employ semantic search strategies (clustering and switching) to facilitate word retrieval. Clustering involves producing sequences of related words, while switching refers to shifting between different semantic categories. Analyzing these strategies provides insights into the structure of the mental lexicon…

This quasi-experimental study compared the effects of Computer-assisted Hybrid Dynamic Assessment (HDA) and Interventionist Dynamic Assessment (IDA) on the development of organizational writing skills in L2, aiming to improve both assessment and instruction within Chinese EFL context. A total of 85 first-year university students in China…

This study investigates how learners' constructed responses, specifically typed thoughts prompted during multiple-document reading, reveal cognitive strategies used to integrate and make sense of complex information. Undergraduate students (n = 73) read four texts on climate change and generated constructed responses to one of three types of…

Children with autism spectrum disorder (ASD) often have difficulty with personal hygiene skills, such as toothbrushing, yet there is a dearth of studies in this area demonstrating experimental control. We used a multiple-probe-across-participants design to evaluate the effectiveness of a treatment package that consisted of a picture activity…

Nowadays individuals can readily set reminders to offload intentions onto external resources, such as smartphone alerts, rather than using internal memory. Individuals tend to be biased, setting more reminders than would be optimal. We address the question whether the reminder bias depends on offloading scenarios being framed as either gains or…

The intangible concept of data, as part of statistical literacy, can be complex for young children to grasp. Inquiry as a pedagogy has potential for supporting student development of statistical literacy as the investigation process is driven by the inquiry question. The aim of this paper is to gain insight into how a teacher's communication…