Han Bum Lee, Humberto Peña, Yi-Fan Li, Nancy Cheak-Zamora
{"title":"整合聊天机器人:支持德克萨斯州自闭症学生的大学过渡。","authors":"Han Bum Lee, Humberto Peña, Yi-Fan Li, Nancy Cheak-Zamora","doi":"10.1007/s10803-025-06909-6","DOIUrl":null,"url":null,"abstract":"<p><p>Despite strides in reducing postsecondary enrollment disparities between students with and without disabilities, the transition to postsecondary education remains particularly challenging for students with autism spectrum disorder (ASD). These students encounter unique barriers that necessitate tailored support during the college application process. Advances in artificial intelligence (AI), particularly personalized assistance, offer promising opportunities for enhancing inclusivity in educational counseling. This study explored the application of AI to assist autistic students in navigating the complexities of the college admissions process by examining ADVi, an AI chatbot that communicates through text messages to provide information, suggest actionable steps, and answer college admission-related inquiries. We used a multilevel negative binomial regression model to examine whether autistic students showed a distinct need for AI-based assistance during their transition to higher education. This analysis was based on data from 115,354 college-aspiring students who graduated from public high schools in Texas in 2021, of whom 807 identified as having ASD. Autistic students utilized ADVi significantly more than their typically developing peers, particularly among those with lower prior test achievement (a composite measure based on five state-mandated tests administered during high school). In the bottom tertile of prior test achievement, autistic students sent 132.2% more messages than their peers; the difference was 78.5% in the middle tertile and 36.2% in the top tertile. These results highlight the increased utilization of ADVi by autistic students and suggest a potential need for additional AI tools to facilitate smoother educational transitions for students requiring specialized assistance.</p>","PeriodicalId":15148,"journal":{"name":"Journal of Autism and Developmental Disorders","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating Chatbots: Supporting the College Transition for Autistic Students in Texas.\",\"authors\":\"Han Bum Lee, Humberto Peña, Yi-Fan Li, Nancy Cheak-Zamora\",\"doi\":\"10.1007/s10803-025-06909-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Despite strides in reducing postsecondary enrollment disparities between students with and without disabilities, the transition to postsecondary education remains particularly challenging for students with autism spectrum disorder (ASD). These students encounter unique barriers that necessitate tailored support during the college application process. Advances in artificial intelligence (AI), particularly personalized assistance, offer promising opportunities for enhancing inclusivity in educational counseling. This study explored the application of AI to assist autistic students in navigating the complexities of the college admissions process by examining ADVi, an AI chatbot that communicates through text messages to provide information, suggest actionable steps, and answer college admission-related inquiries. We used a multilevel negative binomial regression model to examine whether autistic students showed a distinct need for AI-based assistance during their transition to higher education. This analysis was based on data from 115,354 college-aspiring students who graduated from public high schools in Texas in 2021, of whom 807 identified as having ASD. Autistic students utilized ADVi significantly more than their typically developing peers, particularly among those with lower prior test achievement (a composite measure based on five state-mandated tests administered during high school). In the bottom tertile of prior test achievement, autistic students sent 132.2% more messages than their peers; the difference was 78.5% in the middle tertile and 36.2% in the top tertile. These results highlight the increased utilization of ADVi by autistic students and suggest a potential need for additional AI tools to facilitate smoother educational transitions for students requiring specialized assistance.</p>\",\"PeriodicalId\":15148,\"journal\":{\"name\":\"Journal of Autism and Developmental Disorders\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Autism and Developmental Disorders\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1007/s10803-025-06909-6\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, DEVELOPMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Autism and Developmental Disorders","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1007/s10803-025-06909-6","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
Integrating Chatbots: Supporting the College Transition for Autistic Students in Texas.
Despite strides in reducing postsecondary enrollment disparities between students with and without disabilities, the transition to postsecondary education remains particularly challenging for students with autism spectrum disorder (ASD). These students encounter unique barriers that necessitate tailored support during the college application process. Advances in artificial intelligence (AI), particularly personalized assistance, offer promising opportunities for enhancing inclusivity in educational counseling. This study explored the application of AI to assist autistic students in navigating the complexities of the college admissions process by examining ADVi, an AI chatbot that communicates through text messages to provide information, suggest actionable steps, and answer college admission-related inquiries. We used a multilevel negative binomial regression model to examine whether autistic students showed a distinct need for AI-based assistance during their transition to higher education. This analysis was based on data from 115,354 college-aspiring students who graduated from public high schools in Texas in 2021, of whom 807 identified as having ASD. Autistic students utilized ADVi significantly more than their typically developing peers, particularly among those with lower prior test achievement (a composite measure based on five state-mandated tests administered during high school). In the bottom tertile of prior test achievement, autistic students sent 132.2% more messages than their peers; the difference was 78.5% in the middle tertile and 36.2% in the top tertile. These results highlight the increased utilization of ADVi by autistic students and suggest a potential need for additional AI tools to facilitate smoother educational transitions for students requiring specialized assistance.
期刊介绍:
The Journal of Autism and Developmental Disorders seeks to advance theoretical and applied research as well as examine and evaluate clinical diagnoses and treatments for autism and related disabilities. JADD encourages research submissions on the causes of ASDs and related disorders, including genetic, immunological, and environmental factors; diagnosis and assessment tools (e.g., for early detection as well as behavioral and communications characteristics); and prevention and treatment options. Sample topics include: Social responsiveness in young children with autism Advances in diagnosing and reporting autism Omega-3 fatty acids to treat autism symptoms Parental and child adherence to behavioral and medical treatments for autism Increasing independent task completion by students with autism spectrum disorder Does laughter differ in children with autism? Predicting ASD diagnosis and social impairment in younger siblings of children with autism The effects of psychotropic and nonpsychotropic medication with adolescents and adults with ASD Increasing independence for individuals with ASDs Group interventions to promote social skills in school-aged children with ASDs Standard diagnostic measures for ASDs Substance abuse in adults with autism Differentiating between ADHD and autism symptoms Social competence and social skills training and interventions for children with ASDs Therapeutic horseback riding and social functioning in children with autism Authors and readers of the Journal of Autism and Developmental Disorders include sch olars, researchers, professionals, policy makers, and graduate students from a broad range of cross-disciplines, including developmental, clinical child, and school psychology; pediatrics; psychiatry; education; social work and counseling; speech, communication, and physical therapy; medicine and neuroscience; and public health.