Technology for Active Learning Personalization¶
The factors that correlate with better learning experience for a student have been clearly identified and supported by strong evidence. But why are all these great ideas so difficult to deploy? In my view, there are two main barriers: lack of concrete pedagogical tactics, and deficient technology coupling.
The first reason refers to the disconnect between the description of successful pedagogical strategies, and the concrete tactical decisions made by instructors when designing a learning scenario. There is a gap prevenging instructors from embracing otherwise promising instructional methods due to the lack of more precise suggestions, guidelines, or basic scaffolding for learning designs.
The second reason refers to the fallacy that technology will solve most of the problems when dealing with a digital learning scenario. Either a way is found to tightly couple it with the instructor strategy and tactics, or it ends up hindering the overall process.
My research activities have focused on connecting technological affordances with pedagogical tactics used in a learning scenario. In recent years I have worked mainly in the area of Learning Analytics and authoring.
Learning Analytics: Observe students while they learn¶
The possibility of collecting data derived from the interactions occurring in a learning scenario is now a reality due to technology mediation. Learning Analytics is the area that focuses on the analysis of this data to understand and improve learning and the environment in which it occurs. But unless the technology is tightly coupled with the scenario, and there is a clearly defined tactic to use it, there is a risk to under-deliver on the promise that analytics will be truly beneficial. My research in this area is on how to capture, make sense, and derive actions from the events in a learning environment.