Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…

The online interaction of learners and tutors in activities with concrete objectives provides a valuable source of data that can be analyzed for different purposes. One of these purposes is the use of the information extracted from that interaction to aid tutors and learners in decision making about either the configuration of further learning…

The Opera eLearning project developed a solution for opera singing distance lessons at the graduate level, using high bandwidth to deliver a quality audio and video experience that has been evaluated by singing teachers, chorus and orchestra directors, singers and other professional musicians. Prior to finding a technological model that suits the…

In this paper we discuss how the Brigham Young University Technology Assisted Language Learning Group (BYU TALL Group) develops video-based dramatic narratives to increase the amount of context we provide to English as a second language (ESL) learners. First, we discuss the problem of decontextualization in education, the contextualism…