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…

Background and aims: This study was conducted in a clinical setting with the aim of replicating previously used procedures for teaching receptive vocabulary. Researchers increased the number of vocabulary words and maintained use of match-to-sample (MtS), prompting, and reinforcement procedures. Researchers were also interested in the efficacy of…

This paper presents results from an experimental evaluation of an intervention designed to enhance virtual student support. During the 2019-2020 school year, randomly selected mentors in a school-based mentoring program received monthly reminders with tips for communicating with youth via text, email, and phone. Unexpectedly, the results showed…

Activity schedules consist of a series of visual discriminative stimuli, arranged in booklets or binders, which function as prompts for appropriate behavior. Although activity schedules are useful, their typical presentation in binders can be cumbersome and stigmatizing, placing additional barriers for independence and inclusion. The purpose of…

Generative learning theory posits that learners engage more deeply and produce better learning outcomes when they engage in selecting, organizing, and integrating processes during learning. The present experiments examine whether the generative learning activity of generating explanations can be extended to online multimedia lessons and whether…

Students with extensive support needs often require intensive individualized instruction across domains. Research suggests that students with extensive support needs can achieve greater independence when evidence-based practices are used to teach independent transitioning skills. This study investigated the effects of video self-modeling (VSM) and…

Recent research has highlighted the value of incorporating metacognitive prompts into cooperative learning. This study explores effects of the presence or absence of metacognitive prompts in group or individual learning on metacognitive awareness and EFL writing outcomes. A total of 170 university students were assigned to one of four treatment…