Using technology as a means to scaffold learners' ability to monitor and control the cognitive, metacognitive, and affective/motivational processes that mediate learning and task performance.
We use technology as both a research and training tool to capture learner behaviors, build computational models, and prescribe the most suitable instructional content.
Our research combines both quantitative and qualitative methods, leveraging contemporary techniques from educational data mining and learning analytics to discover knowledge from process data captured in several modalities.
An intelligent web browser for pre- and in-service k-12 teachers
An online dashboard for pre- and in-service k-12 teachers
HTML, CSS, JQuery, Vis.JS, Bootstrap3.0
Content Management System with SCORM eLearning Modules for teacher professional development.
Moodle, Adobe CC and eLearning Apps
Software for simulated learner experiments
Research tool to analyze trace log data of learner behaviors
Research tool to crawl Open Educational Resources (OER) materials
Chat bot implemented as an Alexa Skills app as well as api.ai to deliver recommendations of educational technologies for pre- and in-service K-12 teachers
JSON, Lambda AWS, Node.JS
Research tool to log behavioral observations and deliver prompts using text-to-speech synthesis
Location-based augmented reality iOS, Android, and Google Glass