Supports

The level of supports can make or break the success of the assistive technology intervention. Examples of supports could include modifications to learners- environments such as adequate lighting, practitioners with adequate knowledge of assistive technology, financial resources and transferability to other settings.

Operating strategies

It is necessary for learners to learn how to operate assistive technology. They need to learn about the features and maintenance, operations, how to integrate assistive technology into typical routines and how to problem-solve and cope with malfunctions, etc.


The SETT model to help implement assistive technology

Joy Zabala developed this material while she was an Educational Consultant in Assistive Technology at Region IV Education Service Center in Houston, Texas. The SETT model was first introduced at the 1995, "Closing the Gap" Conference in Minneapolis, MN. It has been published in a number of publications since then and has also been used by many others in the development of their materials. The model was developed to help reduce the misfits and under usage of technology. Professionals agreed that a set of questions needed to be explored to help select the most efficient and effective assistive technological equipment that would best meet learners- needs.

The SETT (student, environment, tasks and tools) model is a guideline for gathering data in order to make effective assistive technology decisions. The SETT Framework considers the Student, the Environment(s), the Tasks required for active participation in the activities within the environment, and finally, the system of Tools needed for the student to address the tasks.

The questions under each section of the SETT Framework are expected to guide discussion rather than be complete and comprehensive in and of themselves. As each of these questions is explored, it is likely that many other questions will arise. The team continues the exploration until there is consensus that there is enough shared knowledge to make an informed, reasonable decision that can be supported by data.