Evidence map›Paper›PMID 40471401›Full record

ArticleJournal of autism and developmental disorders2025

Integrating Chatbots: Supporting the College Transition for Autistic Students in Texas.

Han Bum Lee, Humberto Peña, Yi-Fan Li, Nancy Cheak-Zamora

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Han Bum LeeEducational Psychology, University of Texas at San Antonio, San Antonio, TX, USA. hanbum.lee@utsa.edu.ORCID http://orcid.org/0000-0001-9932-5910
Humberto PeñaEducational Psychology, University of Texas at San Antonio, San Antonio, TX, USA.ORCID http://orcid.org/0000-0002-6288-8303
Yi-Fan LiInterdisciplinary Learning and Teaching, University of Texas at San Antonio, San Antonio, TX, USA.ORCID http://orcid.org/0000-0003-0144-0879
Nancy Cheak-ZamoraPublic Health, University of Texas at San Antonio, San Antonio, TX, USA.ORCID http://orcid.org/0000-0003-3645-3469

Funding

Greater Texas Foundation 1000003489
6 · The paper itself

Abstract

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.

Indexed as

AI chat-botAutismPostsecondary educationTest achievementTexas

Identifiers

PMID40471401

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.