Many children have difficulty producing movements well enough to improve in perceptuo-motor learning. We have developed a training method that supports active movement generation to allow improvement in a 3D tracing task requiring good compliance control. We previously tested 7–8year old children who exhibited poor performance and performance differences before training. After training, performance was significantly improved and performance differences were eliminated. According to the Dynamic Systems Theory of development, appropriate support can enable younger children to acquire the ability to perform like older children. In the present study, we compared 7–8 and 10–12year old school children and predicted that younger children would show reduced performance that was nonetheless amenable to training. Indeed, the pre-training performance of the 7–8year olds was worse than that of the 10–12year olds, but post-training performance was equally good for both groups. This was similar to previous results found using this training method for children with DCD and age-matched typically developing children. We also found in a previous study of 7–8year old school children that training in the 3D tracing task transferred to a 2D drawing task. We now found similar transfer for the 10–12year olds.

The impact of the global aging of the population on social, economic, political, and health care institutions is unequaled. Parallel to this, evolving developments in technology promise opportunities for sales and product development to support positive aging. Older adults are excited to utilize technologies that they perceive as practical. However, age, education, technical knowledge, and technological anxiety affect interest in new technologies, creating a technology divide. Providing more accessible and relevant technologies for today's older adults may make the technology more universally accessible. This article reports the results of a survey on technology and education among a sample of 77 adults between the ages of 52 and 92 who attended a week-long lifelong-learning event at Indiana University. Familiarity with technology, age, education, and gender were found to be correlated with familiarity with new technologies as well as operating and shopping for new electronic devices.