Evaluating the Efficacy of a Criteria Model for Selecting Mobile Augmented Reality as a Learning Tool, 09-R8200
Principal Investigators
Randall Standridge
Jenifer Wheeler
Inclusive Dates: 01/03/11 – Current
Background — Mobile devices are becoming an increasingly important and strategic component in the delivery of learning content. To a large degree, this is driven by the ubiquity of these devices, as well as the increasing capabilities of the technology. Thus far, most learning applications have focused on the delivery of training content and courses. However, mobile devices are now capable of supporting a wide range of content delivery including applications such as simulations and mobile augmented reality (MAR). While anecdotal evidence indicates strong potential for using mobile platforms in training and performance support, more empirical data is needed to begin truly defining the best use for this technology. For instance, when is it most appropriate to use MAR for learning as opposed to alternatives such as two-dimensional animation or three-dimensional simulation? Understanding the criteria for selecting MAR will aid in its effective application as well as the application of other approaches.
Approach — This research effort consists of the following phases:
Develop and analyze selection criteria for a MAR learning application based on human performance and learning theories.
Design a task for study that is tailored to the MAR selection criteria. That is, based on the criteria established in the first phase, design a task that is optimally suited for a MAR application.
Implement three different mobile learning solutions (i.e., 2D, 3D simulation and MAR) that are each intended to teach or support the task created in Phase 2.
Collect and analyze data from three different groups of participants, each using a different mobile learning application, to perform the task to draw conclusions regarding the validity of the selection model as well as key usability insights for each type of solution.
Accomplishments — Thus far the project team has developed a criteria model for selecting mobile augmented reality as a learning delivery tool based on skill type, task characteristics and task execution variables. This model was subsequently used in selecting a study task, which will use a three-dimensional assembly problem to study the relative performance of different mobile learning technologies. Technology evaluations have been conducted to select the most appropriate mobile software development tools including those required for developing augmented reality applications. Based on the technology selections, the application requirements and software designs have been completed for the three different mobile learning applications.
