NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Dillenbourg, Pierre – International Journal of Artificial Intelligence in Education, 2016
How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…
Descriptors: Artificial Intelligence, Educational Trends, Trend Analysis, Educational Technology
Raca, Mirko; Kidzinski, Lukasz; Dillenbourg, Pierre – International Educational Data Mining Society, 2015
Evidence has shown that student's attention is a crucial factor for engagement and learning gain. Although it can be accurately assessed ad-hoc by an experienced teacher, continuous contact with all students in a large class is difficult to maintain and requires training for novice practitioners. We continue our previous work on investigating…
Descriptors: Nonverbal Communication, Attention, Motion, Video Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Prieto, Luis P.; Wen, Yun; Caballero, Daniela; Dillenbourg, Pierre – Educational Technology & Society, 2014
Augmented paper has been proposed as a way to integrate more easily ICTs in settings like formal education, where paper has a strong presence. However, despite the multiplicity of educational applications using paper-based computing, their deployment in authentic settings is still marginal. To better understand this gap between research proposals…
Descriptors: Information Technology, Telecommunications, Technology Integration, Computer Uses in Education
Peer reviewed Peer reviewed
Dillenbourg, Pierre – Journal of Artificial Intelligence in Education, 1996
Maintains that diagnosis, explanation, and tutoring, the functions of an interactive learning environment, are collaborative processes. Examines how human-computer interaction can be improved using a distributed cognition framework. Discusses situational and distributed knowledge theories and provides a model on how they can be used to redesign…
Descriptors: Artificial Intelligence, Cognitive Development, Communication (Thought Transfer), Computer Assisted Instruction