Establishing Computer-Assisted Instruction to Teach Academics to Students with Autism as an Evidence-Based Practice.

Root et al. (2017) hunted for every paper that used computer lessons to teach reading, math, or writing to students with autism. They kept only studies with strong designs: single-case or group experiments with clear controls.

Twelve studies made the cut. The team checked if the set met the Council for Exceptional Children rules for an evidence-based practice.

The bundle of twelve studies passed the bar. Computer-assisted instruction (CAI) now counts as an evidence-based way to teach academic skills to students with autism.

The review does not say how big the gains were or which programs worked best. It simply says the field has enough good trials to trust the method.

Spaniol et al. (2018) and Spaniol et al. (2021) extend the story. They show one brand of CAI—Computerized Progressive Attention Training—lifted math, reading, and writing scores when used twice a week for eight weeks. The 2021 study adds a larger sample and a three-month follow-up, so the academic gains last.

Pellecchia et al. (2016) seems to contradict the happy picture. Their protocol warns that dropping TeachTown CAI into classrooms might crowd out teacher-led practices and could even lower outcomes. The gap is only apparent: the protocol has not yet run, so it flags a risk, while R et al. summarize studies that already showed benefit. In short, CAI can work, but real-world rollout needs care.

Alshuayl (2025) offers a peek ahead. An AI-driven academic program produced large gains for students with mild intellectual disability in just five weeks. The tool is newer, but the idea—smart software tailoring lessons—builds on the same base R et al. endorse.

You can now list CAI among your evidence-based options when writing IEP goals for reading, math, or writing. Start with programs that give immediate feedback and let you track each response. Watch for the pitfall Pellecchia noted: make sure the tablet time replaces passive activities, not your live teaching. Try a brief pilot—say, ten minutes at the start of math class—and graph the data. If the trend climbs, you have both research and your own numbers to back the choice.