Autism Inclusion In Classrooms Still Faces Hurdles Despite AI
Some government schools in Telangana have begun testing AI‑enabled learning labs that combine digital platforms with classroom instruction to create customised learning paths
HYDERABAD: Only 23,449 students across India’s school system were recorded under the autism category in UDISE 2023‑24, even as global estimates place prevalence far higher. As more neurodiverse children enter mainstream schools in Hyderabad, educators say classrooms still run at a pace that does not work for everyone. On World Autism Awareness Day, teachers stressed that inclusion has moved beyond admission, and the real question now is how learning is being handled inside the classroom, and what still stands in the way, especially in the era of artificial intelligence.
“True inclusion is not achieved by placing every student in the same room; it is achieved by ensuring every student has an equal opportunity to thrive in that room,” said B. Chennakesava Rao, principal of VNR Vignana Jyothi Institute of Engineering & Technology.
Classrooms in the city remain built around a common pace, method and test, leaving little room for students who process instructions differently or require more time. Teachers often rely on informal adjustments rather than formal systems. India’s disability law defines inclusive education as teaching adapted to different learning needs, and NEP 2020 explicitly supports children learning at their own pace. Yet staffing and capacity remain challenges, with few schools in Telangana employing dedicated special educators.
Bhavani Singh, Senior Manager and Life Skills Trainer at Woxsen University, said the mismatch begins with classroom structure. “When schools use the same pace, content, and tests for everyone, many students get left behind. To create true inclusion, schools need flexible lessons and assessments that respect each student’s strengths,” he said.
Identification is another weak link. Global guidance points to late diagnosis and incomplete data, and India reflects that pattern. Against this backdrop, personalised learning has begun to enter classrooms, sometimes through teacher‑led adaptations and sometimes through digital tools.
“Personalised learning powered by AI does not just adjust the pace, it adapts the entire experience,” said Rahul Attuluri, co‑founder and CEO of NxtWave. “It identifies where a student is struggling, adjusts content delivery in real time, reduces cognitive overload, and creates an environment where a neurodiverse learner is not falling behind but moving forward at a rhythm that works for them.”
Some government schools in Telangana have begun testing AI‑enabled learning labs that combine digital platforms with classroom instruction to create customised learning paths. However, Dr Chennakesava Rao cautioned, “Technology is only as inclusive as the intent behind its design. The most important question before us as educators is not whether we have the tools to support every learner. We do. The question is whether we have the will to use them wisely and equitably.”
Bhavani Singh raised a similar concern, noting that tools can reproduce the same rigid structures they are meant to address. “If technology just copies old, one‑size‑fits‑all methods, it could make the inequalities it wants to fix even worse,” he said.