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Topolovcan, Tomislav; Matijevic, Milan – Online Submission, 2016
The aim of this research was to investigate whether particular socio-demographic characteristics of pupils in lower secondary education, their level of computer selfefficacy and motivation for using digital media in class are considered significant predictors of constructivist learning. Furthermore, the aim was to investigate the characteristics…
Descriptors: Foreign Countries, Constructivism (Learning), Secondary Education, Secondary School Students
Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
Barron, Brigid; Walter, Sarah E.; Martin, Caitlin Kennedy; Schatz, Colin – Computers & Education, 2010
Examination of the "digital divide" has increasingly gone beyond the study of differences in physical access to computers to focus on individuals' use of technological tools for empowered and generative uses. In this research study, we investigated the relationship between access to tools and experience with creative production…
Descriptors: Creativity, Middle Schools, Family Income, Computer Uses in Education