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Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
Snow, Erica L. – International Educational Data Mining Society, 2015
Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Needs Assessment
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Nussbaumer, Alexander; Hillemann, Eva-Catherine; Gütl, Christian; Albert, Dietrich – Journal of Learning Analytics, 2015
This paper presents a conceptual approach and a Web-based service that aim at supporting self-regulated learning in virtual environments. The conceptual approach consists of four components: 1) a self-regulated learning model for supporting a learner-centred learning process, 2) a psychological model for facilitating competence-based…
Descriptors: Competency Based Education, Virtual Classrooms, Self Management, Models
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Scheuer, O.; McLaren, B. M. – IEEE Transactions on Learning Technologies, 2013
One of the main challenges in tapping the full potential of modern educational software is to devise mechanisms to automatically analyze and adaptively support students' problem solving and learning. A number of such approaches have been developed to teach argumentation skills in domains as diverse as science, the Law, and ethics. Yet,…
Descriptors: Intelligent Tutoring Systems, Persuasive Discourse, Cooperative Learning, Legal Education (Professions)
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Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods
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Ifenthaler, Dirk – Journal of Research on Technology in Education, 2011
The study adds to the body of knowledge about different types of feedback. Feedback is considered a fundamental component for supporting and regulating learning processes. Especially in computer-based and self-regulated learning environments, the nature of feedback is of critical importance. Hence, this study investigates different types of…
Descriptors: Foreign Countries, Feedback (Response), Concept Mapping, Learning Processes
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Najjar, Mehdi – International Journal of Distance Education Technologies, 2008
Despite a growing development of virtual laboratories which use the advantages of multimedia and Internet for distance education, learning by means of such tutorial tools would be more effective if they were specifically tailored to each student needs. The virtual teaching process would be well adapted if an artificial tutor can identify the…
Descriptors: Scaffolding (Teaching Technique), Virtual Classrooms, Prompting, Teaching Methods
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Cochrane, Thomas; Bateman, Roger – Australasian Journal of Educational Technology, 2010
Built on the foundation of four years of research and implementation of mobile learning projects (m-learning), this paper provides an overview of the potential of the integration of mobile Web 2.0 tools (based around smartphones) to facilitate social constructivist pedagogies and engage students in tertiary education. Pedagogical affordances of…
Descriptors: Feedback (Response), Constructivism (Learning), Communities of Practice, Action Research
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Hadjileontiadou, Sofia J.; Nikolaidou, Georgia N.; Hadjileontiadis, Leontios J.; Balafoutas, George N. – Educational Technology & Society, 2004
Web-based collaboration calls for professional skills and competences to the benefit of the quality of the collaboration and its output. Within this framework, educational virtual environments may provide a means for training upon these skills and in particular the collaborative ones. On the basis of the existing technological means such training…
Descriptors: Feedback (Response), Music Education, Cooperative Learning, Models
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries