An evidence-based teaching model for lectures: from data to practice

  • The broad research goal of my thesis is to design and evaluate an evidence-based teaching model for assessing and improving lectures.

  • We have designed a system that collects a new data type we have proposed, called DEBE feedback. DEBE feedback (a type of Experience Sampling Methodology) is basically real-time, voluntary, continuous, and anonymous self-reports of students when they listen to lectures in the classroom or online (video lectures).

    • We have extensively evaluated the strengths and weaknesses of the proposed data type and established its validity and reliability by collecting data from the classroom as well as online video lectures.

  • We have also designed a teacher-facing dashboard on which the feedback data is aggregated for the entire class and made available to teachers to assist them in analyzing student feedback to evaluate the efficacy of lectures and lecture materials, understand students’ learning experiences, and take appropriate actions or decisions based on data to improve lectures.

  • With the use of the dashboard the teachers can adapt the instruction based on the feedback, take immediate action (e.g., in the next class), redesign instructional materials in the video, or make changes in the future course offerings.

Tcherly: An evidence-based teaching model for lectures

DEBE is an acronym for Difficult, Easy, Boring, and Engaging

Watch the Tcherly explainer video below

Student Feedback Interface

Student Feedback Interface
(After clicking a button)

Teacher Dashboard

StereoChem: An Augmented Reality (AR) app conceptualized & designed by me & my colleague Narasimha Swamy K L