During the past 25 years, significant advances in cognitive science and educational psychology have identified the “active ingredients” of learning and the instructional methods that support these cognitive processes. Moreover, laboratory studies have enabled researchers to create methods to collect data using high-density measurements of how we attend to information using eye movements , apply mental effort through physiological measures3 and measuring levels of cognitive load and expertise using neuroscientific measures,among others. The next step in this cognitive evolution is to move these relevant data using cognitive modeling methods from the lab to real-world learning environments where practitioners can use the results to optimize and personalize learning for all students.
Shifting the focus on education to include the IoT will mean a massive shift in understanding what education means and creating processes and products that are practical as well as reasonable and that teachers, students, and administrators can get behind.
To enable truly personalized education, teachers need intuitive and easy to understand tools that provide them with detailed insights not only about each student’s performance on assessments, but also their level of engagement in the classroom, and also other factors that may even go beyond the classroom. Such tools simply do not exist today.
Significant IOT research and application-development efforts are underway in many fields such as personalized medicine, supply chain engineering, transportation, and smart energy grids to deploy sensors that collect relevant fine-grained data and use big data processing and visualization tools, to provide paradigm changing results. CHARIOT intends to play a leadership role in bringing the IOT revolution into the high-impact field of education.