ABSTRACT
Pedagogical evolutions towards more interactive and collaborative teaching and learning, individual demand for more flexible training and education, and an evolution towards multicampus teaching in higher education require solutions for remote and asynchronous learning that are as interactive and effective as face-to-face training, and do not introduce technological or psychological barriers. Current solutions such as WebEx and videoconferencing tools either do not meet these requirements or are too expensive for the average higher education institution or corporate training. On top of the ongoing development of a cloud-based and bring-your-own-device-ready platform for interactive learning, LECTURE+ aims to research, design, and evaluate a data-driven and evidence-based platform for decision support for teachers, room operators and learners in higher education and corporate training, geared towards improving learner engagement in face-to-face, remote, and recorded lectures. Objectives include modelling and enhancing learner engagement through behaviour tracking and audiovisual processing, improving the cost-efficiency and scalability of real-time video direction, and demonstrating the added value of interactive technology-enhanced learning in three living labs (face-to-face learning, remote groups, remote individuals).