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Maria-Dorinela Dascalu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2022
The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and…
Descriptors: Computational Linguistics, Longitudinal Studies, Technology Uses in Education, Teaching Methods
Liu, Ming; Rus, Vasile; Liu, Li – IEEE Transactions on Learning Technologies, 2017
Question generation is an emerging research area of artificial intelligence in education. Question authoring tools are important in educational technologies, e.g., intelligent tutoring systems, as well as in dialogue systems. Approaches to generate factual questions, i.e., questions that have concrete answers, mainly make use of the syntactical…
Descriptors: Chinese, Questioning Techniques, Automation, Natural Language Processing
Sharma Mittal, Ruhi; Nagar, Seema; Sharma, Mourvi; Dwivedi, Utkarsh; Dey, Prasenjit; Kokku, Ravi – International Educational Data Mining Society, 2018
As education gets increasingly digitized, and intelligent tutoring systems gain commercial prominence, scalable assessment generation mechanisms become a critical requirement for enabling increased learning outcomes. Assessments provide a way to measure learners' level of understanding and difficulty, and personalize their learning. There have…
Descriptors: Vocabulary Development, Language Tests, Semantics, Associative Learning
Huang, Jin-Xia; Lee, Kyung-Soon; Kwon, Oh-Woog; Kim, Young-Kil – Research-publishing.net, 2016
This paper presents an automatic dialogue scoring approach for a Dialogue-Based Computer-Assisted Language Learning (DB-CALL) system, which helps users learn language via interactive conversations. The system produces overall feedback according to dialogue scoring to help the learner know which parts should be more focused on. The scoring measures…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Dialogs (Language)
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
Kwon, Oh-Woog; Lee, Kiyoung; Kim, Young-Kil; Lee, Yunkeun – Research-publishing.net, 2015
This paper introduces a Dialog-Based Computer-Assisted second-Language Learning (DB-CALL) system using semantic and grammar correctness evaluations and the results of its experiment. While the system dialogues with English learners about a given topic, it automatically evaluates the grammar and content properness of their English utterances, then…
Descriptors: Computer Assisted Instruction, Semantics, Grammar, Teaching Methods
Ababneh, Mohammad – ProQuest LLC, 2014
A dialog system or a conversational agent provides a means for a human to interact with a computer system. Dialog systems use text, voice and other means to carry out conversations with humans in order to achieve some objective. Most dialog systems are created with specific objectives in mind and consist of preprogrammed conversations. The primary…
Descriptors: Item Response Theory, Web 2.0 Technologies, Computer System Design, Intelligent Tutoring Systems
Lenhard, Wolfgang; Baier, Herbert; Endlich, Darius; Schneider, Wolfgang; Hoffmann, Joachim – Journal of Research in Reading, 2013
There are many established reading strategy training programmes, which explicitly teach strategic and meta-cognitive knowledge to improve reading comprehension. Although instruction in strategy knowledge leads to improvements in meta-cognitive skills, the effects do not always transfer to reading comprehension. Therefore, to investigate…
Descriptors: Reading Instruction, Reading Strategies, Metacognition, Reading Comprehension
Peer reviewedHolland, V. Melissa; Kaplan, Jonathan D. – Instructional Science, 1995
Describes the role of natural language processing (NLP) techniques, such as parsing and semantic analysis, within current language tutoring systems. Examines trends, design issues and tradeoffs, and potential contributions of NLP techniques with respect to instructional theory and educational practice. Addresses limitations and problems in using…
Descriptors: Computer Assisted Instruction, Instructional Design, Intelligent Tutoring Systems, Knowledge Representation
Peer reviewedSvenconis, Daniel J.; Kerst, Stephen – CALICO Journal, 1995
Evaluated the effectiveness of using a hypertext/hypermedia environment for the teaching of second language Spanish vocabulary in a semantic mapping format among 48 high school students who had never studied Spanish. Results found no significant difference between semantic mapping and traditional word listing approaches to vocabulary development.…
Descriptors: Computer Assisted Instruction, High School Students, Hypermedia, Instructional Effectiveness

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