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Cukurova, Mutlu; Luckin, Rosemary; Kent, Carmel – International Journal of Artificial Intelligence in Education, 2020
Artificial Intelligence (AI) is attracting a great deal of attention and it is important to investigate the public perceptions of AI and their impact on the perceived credibility of research evidence. In the literature, there is evidence that people overweight research evidence when framed in neuroscience findings. In this paper, we present the…
Descriptors: Artificial Intelligence, Educational Research, Attitudes, Credibility
du Boulay, Benedict; Luckin, Rosemary – International Journal of Artificial Intelligence in Education, 2016
Our original paper tried to characterize the richness of the teaching repertoire of expert human teachers and to give a sense of how far there still was to go in the development of pedagogic expertise in AIED systems. It considered three ways in which more expert teaching strategies and tactics might be developed. These were via (i) the…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Teaching Methods, Educational Strategies
Luckin, Rosemary; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
In 1999 we reported a study that explored the way that Vygotsky's Zone of Proximal Development could be used to inform the design of an Interactive Learning Environment called the Ecolab. Two aspects of this work have subsequently been used for further research. Firstly, there is the interpretation of the ZPD and its associated theory that was…
Descriptors: Sociocultural Patterns, Metacognition, Goal Orientation, Student Motivation
du Boulay, Benedict; Avramides, Katerina; Luckin, Rosemary; Martinez-Miron, Erika; Rebolledo-Mendez, Genaro; Carr, Amanda – International Journal of Artificial Intelligence in Education, 2010
This paper describes a Conceptual Framework underpinning "Systems that Care" in terms of educational systems that take account of motivation, metacognition and affect, in addition to cognition. The main focus is on "motivation," as learning requires the student to put in effort and be engaged, in other words to be motivated to learn. But…
Descriptors: Learning Motivation, Metacognition, Affective Behavior, Schemata (Cognition)