Organizations and institutions have been trying to find ways to deal with the challenges the students have. One method is to subsidize the instructional model with learning assistants. Learning Assistants (LA) show the potential of delegating tasks and tutoring to other resources. This is a solution to avoid adding virtual assistants. These human resources can be valuable to an instructional design's success. The question is "can we take the value in learning assistants and leverage digital virtual assistants to make it even better for the student and the model?"
Digital Virtual Assistants (DVA) are Software as a Service (SAAS) applications that are stored on the web (in the cloud); and can be added to different technologies, such as mobile apps and speech devices. They can communicate in several forms, ranging from search engines to chatbots, to even virtual humans in VR. The assistants are scalable. They can be programmed with specific solutions to task requests, or the architecture can be connected with other systems that manage AI, knowledge bases, and other resources to learn and manage tasks for students and instructors. (Kužnar, Tavčar, and Zupančič, 2016). They can be simple and complex. They allow a relative form of plug-in-play. For more details of the scalability and simple architecture of Virtual Assistants, read the article "Virtual Assistant Platform."
Virtual Assistants have focused on being the “do it all” task manager for the customer. This is shifting to a "need for personal experience." Now is the time to shift these personable experiences into Learning Assistants for instructional designs, especially in education. There are many opportunities for Google, Siri, Alexa, Bixby, Cortana, and the others to interact with the student to enhance the learning experience.