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Howard, Cynthia; Di Eugenio, Barbara; Jordan, Pamela; Katz, Sandra – Cognitive Science, 2017
Peer interaction has been found to be conducive to learning in many settings. Knowledge co-construction (KCC) has been proposed as one explanatory mechanism. However, KCC is a theoretical construct that is too abstract to guide the development of instructional software that can support peer interaction. In this study, we present an extensive…
Descriptors: Interaction, Peer Relationship, Cooperative Learning, Problem Solving
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Howard, Cynthia; Jordan, Pamela; Di Eugenio, Barbara; Katz, Sandra – International Journal of Artificial Intelligence in Education, 2017
Despite a growing need for educational tools that support students at the earliest phases of undergraduate Computer Science (CS) curricula, relatively few such tools exist--the majority being Intelligent Tutoring Systems. Since peer interactions more readily give rise to challenges and negotiations, another way in which students can become more…
Descriptors: Computer Science Education, Undergraduate Study, Intelligent Tutoring Systems, Artificial Intelligence
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Fossati, Davide; Di Eugenio, Barbara; Ohlsson, Stellan; Brown, Christopher; Chen, Lin – Technology, Instruction, Cognition and Learning, 2015
Based on our empirical studies of effective human tutoring, we developed an Intelligent Tutoring System, iList, that helps students learn linked lists, a challenging topic in Computer Science education. The iList system can provide several forms of feedback to students. Feedback is automatically generated thanks to a Procedural Knowledge Model…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Feedback (Response), Information Retrieval