We examined the use of computer video models and video rewards to teach generative spelling to a child with an autism spectrum disorder. In Phase 1, Ana viewed video models of her teacher writing target words. After Ana wrote the words correctly, she watched videos of play routines unique to each training word. Ana rapidly learned to spell three five-word sets based on pictures and dictation. In Phase 2, Ana learned to spell four novel words (e.g., lore and tock) that were based on the elements of five words learned in Phase 1 (e.g., tore and lock) and arranged into a teaching matrix of three beginning consonants and three word endings. In Phases 3 and 4, Ana learned to spell subsets of four three-by-three matrices, then immediately proved capable of spelling the remaining words in each matrix. Ana also succeeded on generalization and maintenance tests at home and school throughout the study. Generative spelling thus may be derived from a teaching package that (a) involves video models and rewards and (b) arranges opportunities for learning to recombine initial consonants and word endings. Ana's proficiency in spelling helped her acquire literacy skills commensurate with her general school placement.

In Experiment 1, four developmentally delayed adolescents were taught an A-B matchingto-sample task with nonidentical stimuli: given Sample Al, select Comparison Bl; given A2, select B2. During nonreinforced test trials, appropriate matching occurred when B stimuli appeared as samples and A stimuli as comparisons, i.e., the sample and comparison functions were symmetrical (B-A matching). During A-B or B-A matching test trials in which familiar samples and correct comparisons were presented along with novel comparisons, the subjects selected the correct comparisons. In tests with familiar samples and both incorrect and novel comparisons, subjects selected the novel comparisons, demonstrating control by both positive ("matching") and negative ("nonmatching") stimulus relations in A-B and B-A arrays. In Experiment 2, 12 developmentally delayed subjects were taught a two-stage arbitrary-matching task (e.g., A-B, C-B matching). Test sessions showed sample-comparison symmetry (e.g., B-A, B-C matching) and derived sample-comparison relations (e.g., A-C, C-A matching) for 11 subjects. These subjects also demonstrated control by positive and negative stimulus relations in the derived relations.

We evaluated an intervention package for teaching generative sociodramatic play activities to a young boy with an autism spectrum disorder. In Phase 1, the boy learned computer activity schedules that featured embedded video models of what to say and do. A 3 × 3 instructional matrix defined 9 activities to be performed involving combinations of 3 figurines and 3 actions. In Phase 2, the boy learned to use notebook schedules with pictures cuing sequences of different play activities. Phase 3 clarified and expanded the skills learned so far: Across 3 new instructional matrices, the boy learned 3 of the 9 activities within each matrix using video-enhanced computer schedules. For every activity taught directly, nearly 2 additional activities also occurred. The results recommend video-enhanced activity schedules to teach sociodramatic play and the use of matrix training to program for generative learning outcomes.

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Computer‐based instruction may yield widely useful handwritten spelling. Illustrative cases involved individuals with mental retardation and hearing impairments. The participant in Study 1 matched computer pictures and printed words to one another but did not spell the words to pictures. Spelling was then taught using a computerized procedure. In general, increases in the accuracy of computer spelling were accompanied by improvements in written spelling to pictures. Study 2 extended these results with a 2nd participant. After initial training, spelling improved in the context of a retrieval task in which the participant (a) wrote a list of the names of objects displayed on a table, (b) selected the objects from a shelf, and (c) returned the objects to the table. Nearly perfect accuracy scores declined on some retrieval trials conducted without a list, suggesting that the list may have served a mediating function during retrieval. Transfer of stimulus control of computer‐based teaching to the retrieval task may have been attributable to the existence of stimulus classes involving pictures, objects, and printed words.

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