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Jionghao Lin; Wei Tan; Lan Du; Wray Buntine; David Lang; Dragan Gasevic; Guanliang Chen – IEEE Transactions on Learning Technologies, 2024
Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…
Descriptors: Classification, Dialogs (Language), Teaching Methods, Computer Assisted Instruction
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Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2017
The paper describes a biology tutoring system with adaptive question selection. Questions were selected for presentation to the student based on their utilities, which were estimated from the chance that the student's competence would increase if the questions were asked. Competence was represented by the probability of mastery of a set of biology…
Descriptors: Biology, Science Instruction, Intelligent Tutoring Systems, Probability
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Tegos, Stergios; Demetriadis, Stavros; Papadopoulos, Pantelis M.; Weinberger, Armin – International Journal of Computer-Supported Collaborative Learning, 2016
Conversational agents that draw on the framework of academically productive talk (APT) have been lately shown to be effective in helping learners sustain productive forms of peer dialogue in diverse learning settings. Yet, literature suggests that more research is required on how learners respond to and benefit from such flexible agents in order…
Descriptors: Interpersonal Communication, Computer Mediated Communication, Academic Discourse, Peer Relationship
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Mazur, Michal; Karolczak, Krzysztof; Rzepka, Rafal; Araki, Kenji – International Journal of Distance Education Technologies, 2016
Vocabulary plays an important part in second language learning and there are many existing techniques to facilitate word acquisition. One of these methods is code-switching, or mixing the vocabulary of two languages in one sentence. In this paper the authors propose an experimental system for computer-assisted English vocabulary learning in…
Descriptors: Vocabulary Development, Vocabulary, Code Switching (Language), English (Second Language)
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Liou, H.-C.; Yang, P.-C.; Chang, J. S. – Journal of Computer Assisted Learning, 2012
Various writing assistance tools have been developed through efforts in the areas of natural language processing with different degrees of success of curriculum integration depending on their functional rigor and pedagogical designs. In this paper, we developed a system, WriteAhead, that provides six types of suggestions when non-native graduate…
Descriptors: Graduate Students, Second Language Learning, Computer Software, Computer System Design
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Liu, Ming; Calvo, R. A.; Aditomo, A.; Pizzato, L. A. – IEEE Transactions on Learning Technologies, 2012
In this paper, we present a novel approach for semiautomatic question generation to support academic writing. Our system first extracts key phrases from students' literature review papers. Each key phrase is matched with a Wikipedia article and classified into one of five abstract concept categories: Research Field, Technology, System, Term, and…
Descriptors: Foreign Countries, Computer Assisted Instruction, Web 2.0 Technologies, Automation
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Vega-Gorgojo, Guillermo; Bote-Lorenzo, Miguel L.; Asensio-Perez, Juan I.; Gomez-Sanchez, Eduardo; Dimitriadis, Yannis A.; Jorrin-Abellan, Ivan M. – Computers & Education, 2010
This paper introduces Ontoolsearch, a new search system that can be employed by educators in order to find suitable tools for supporting collaborative learning settings. Current tool search facilities commonly allow simple keyword searches, limiting the accuracy of obtained results. In contrast, Ontoolsearch supports semantic querying of tool…
Descriptors: Information Retrieval, Educational Resources, Comparative Analysis, Computer Software
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Matthews, Danielle E.; VanLehn, Kurt; Graesser, Arthur C.; Jackson, G. Tanner; Jordan, Pamela; Olney, Andrew; Rosa, Andrew Carolyn P. – Cognitive Science, 2007
It is often assumed that engaging in a one-on-one dialogue with a tutor is more effective than listening to a lecture or reading a text. Although earlier experiments have not always supported this hypothesis, this may be due in part to allowing the tutors to cover different content than the noninteractive instruction. In 7 experiments, we tested…
Descriptors: Tutoring, Natural Language Processing, Physics, Computer Assisted Instruction
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Moore, Johanna D. – Journal of Artificial Intelligence in Education, 1996
Describes those features that distinguish human tutorial explanations from those produced by computer-based instructional systems utilizing natural language interfaces. This is illustrated through a study conducted on an intelligent instruction system, drawing comparisons between student interaction with a human tutor and the system feedback.…
Descriptors: Artificial Intelligence, Comparative Analysis, Computer Assisted Instruction, Discourse Analysis
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers