The current study compared a simultaneous prompting strategy to a most-to-least prompting strategy for three children diagnosed with autism spectrum disorder. The prompting procedures were used to teach expressive label targets via direct telehealth. Results of the adapted alternating treatments design nestled within a multiple-baseline design…

This study employed the design-based research (DBR) methodology to explore how to design instructional prompts integrated into a computer-based cognitive tool, GeoGebra, for gifted mathematics education. This study was divided into two iterative research phases lasting for 3 semesters, in which differentiating the instructional prompts for gifted…

Background: Individuals with intellectual disabilities need continued supports in completing daily living tasks to increase the likelihood of achieving independence. Fortunately, research has shown that assistive technology, and particularly video prompting helps support independent living for individuals with intellectual disabilities. Aims: This…

This study investigates the potential of automated classification using prompt-based learning approaches with transformer models (large language models trained in an unsupervised manner) for a domain-specific classification task. Prompt-based learning with zero or few shots has the potential to (1) make use of artificial intelligence without…

The number of direct support professionals (DSPs) needed to support the increasing numbers of adults diagnosed with autism within the United States continues to grow exponentially. DSPs receive minimal training and often fail to generalize the training they have received, which can directly lead to poor learning outcomes for the adults they serve.…

This article, by Tomoyuki Kawashima, presents two listening activities, using nonnative speakers as models, that "broaden … students' perspectives on English and enhance their self-perception as future English users." The activities help students understand that everyone, even native speakers, has an accent, and that sounding…

ChatGPT's advanced text generation capability has significant potential for the development of innovative and effective pedagogical strategies in mathematics teaching. The integration of ChatGPT into the mathematical story-focused 5E lesson plan preparation process is a concrete reflection of this potential. The success of this integration depends…

Large Language Models (LLMs), such as ChatGPT, have become widely popular for various software engineering tasks, including programming, testing, code review, and program comprehension. However, their impact on improving software quality in educational settings remains uncertain. This article explores our experience teaching the use of Programming…

This research project investigates the impact of prompt engineering, a key aspect of chat generative pretrained transformer (ChatGPT), on college students' information retrieval in flipped classrooms. In recent years, an increasing number of students have been using AI-based tools, such as ChatGPT rather than traditional research engines to learn…

In designing an intelligent tutoring system, a core area of the application of AI in education, tips from the system or virtual tutors are crucial in helping students solve difficult questions in disciplines like mathematics. Traditionally, the manual design of general tips by teachers is time-consuming and error-prone. Generative AI, like…

This study explores the process itself of comprehension monitoring of worked-out examples in mathematics. A 'reversal error' was embedded in a worked-out example of algebraic nature. Ninety-four engineers in a master's degree program to become secondary teachers of technology were asked to judge the comprehensibility of the statement and the…

Independent living skills (ILS) are crucial for the post-school success of students with disabilities. In this systematic literature review, we examined ILS interventions for secondary and postsecondary education students with intellectual disability or autism ranging from ages 13-24 years. Forty-two articles met the inclusion criteria and were…

Self-determination is a complex process with several components, such as making choices and independence. However, limited research on self-determination has focused on individuals with moderate to severe autism spectrum disorder. This study aimed to support independent leisure engagement and choice-making of leisure activities for this population…

This study investigated the effectiveness of applying a smartphone to reduce the hyperactive/impulsive behaviors of 3 students with attention deficit hyperactivity disorder (ADHD) in class. A smartphone that can simultaneously provide vibration and visual text prompts was adopted in this study to remind the participants when they exhibited…

Problem-based learning (PBL) has the potential to enhance both cognitive and affective engagement but has been criticised for being unsuitable for learners with low levels of knowledge and skills, such as South African learners from poor backgrounds. In such cases, guided problem-based learning (GPBL), which includes direct instruction and teacher…