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Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2016
Intelligent Tutoring Systems (ITS) have a long history, almost as long as the Structural Learning Theory (initially in Scandura, 1971). Although well-funded for many years, neither ITS nor contemporary successors based on BIG DATA (e.g., Knewton) come close to modeling the processes used by good human tutors. AuthorIT & TutorIT rest on a…
Descriptors: Intelligent Tutoring Systems, Delivery Systems, Tutorial Programs, Instructional Design
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Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2013
This article begins with a summary of two dominant approaches to adaptive learning systems: Intelligent Tutoring Systems (ITS), which have been around since the late 1970s and relatively new learning systems based on Learning Analytics, deriving largely from technical advances in BIG DATA pioneered by Google. The article then describes a third…
Descriptors: Intelligent Tutoring Systems, Learning Analytics, Delivery Systems, Learning Theories
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Hershkovitz, Arnon – Technology, Instruction, Cognition and Learning, 2015
Data-driven instruction is still a huge scope and has many shades. One promising way of adding learning analytics to traditional teaching is to offer teachers accessible, data-driven information, either in a dashboard style or with a UI with which they could perform their own analysis on student data (e.g., Ben-Naim, Bain, & Marcus, 2009;…
Descriptors: Data Use, Learning Analytics, Computer Interfaces, Reflection
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Hershkovitz, Arnon – Technology, Instruction, Cognition and Learning, 2015
Still lacking in the mainstream data-driven approaches to studying educational settings is the very basic, most popular educational setting -- that is, the classroom. Capturing data that describes learning in the classroom is the focus of the current issue. The articles in this issue present a large variety of data sources, data collection tools…
Descriptors: Data, Data Use, Instructional Improvement, Data Collection