A touch-detecting teaching machine with auditory reinforcement.
A 1968 teaching machine used touch-and-sound feedback to teach pictures, an idea still powering today’s microswitch and smart-glove tech.
01Research in Context
What this study did
In 1968, engineers built a wooden box the size of a small TV. Kids touched a clear plastic sheet over pictures. When they picked the right picture, the box said the word out loud.
The machine tracked every touch and only praised correct choices. No teacher needed to stand there.
What they found
The paper only shows blueprints and wiring. It never tells us if kids learned faster or made fewer errors.
How this fits with other research
Robertson et al. (2013) took the same idea and added microswitches. Their clients with severe disabilities got music or vibration for every correct reach. Problem posture dropped fast.
Savaldi-Harussi et al. (2025) swapped the wooden box for a smart-glove. Younger students with moderate ID learned new words quicker than with plain flashcards. Older students with severe ID showed no gain, so the tech helps only some learners.
Roper (1978) explains why these machines work: the brain locks on to clear if-then rules. Touch apple → hear apple. That predictive link, not magic reinforcement juice, drives learning.
Why it matters
You already have touch-and-talk tools in your pocket: tablets, smart-gloves, microswitches. Use them to give instant auditory feedback for correct responses. Start with younger or moderate-ID learners; the evidence is strongest there. Pair the tech with clear predictive rules—touch right picture, hear right name—and keep trials short and snappy.
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02At a glance
03Original abstract
This teaching machine has been designed and used to train reading and other visual discrimination skills with normal and retarded children. On each frame the subject responds by touching one of three response panels on which are projected the multiple-choice alternatives. The response panels are coated with a transparent conducting film which allows electronic detection of this simple and direct response. Correct responses are reinforced by the machine naming the stimulus, while auditory reinforcement is absent for an incorrect response. The subject's performance level is continuously computed as an exponentially weighted moving average. The measure is weighted so that it rapidly follows recent changes in performance.
Journal of applied behavior analysis, 1968 · doi:10.1901/jaba.1968.1-341