FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2183042908> ?p ?o ?g. }

• W2183042908 abstract "Student Modeling for Adaptive Agent to Enhance Interest and Comprehension Sung-il Kim * (sungkim@korea.ac.kr), Myung-Jin Lee * (cute0714@korea.ac.kr), Woo-Gul Lee * (penny27@hanmail.net), Karam Lim * (karam777@korea.ac.kr), Cheon-woo Han * (1005polo@korea.ac.kr), Yeonhee So * (yukgam91@korea.ac.kr), Sunyoung Lee * (sylee2721@korea.ac.kr), Su-Young Hwang * (sueissun@korea.ac.kr), Sung-Hyun Yun ** (shyoon@cheonan.ac.kr), Dong-Seong Choi ** (hcilab@cheonan.ac.kr) Department of Education, Korea University, Seoul, 136-701, Korea Department of Information and Communication Engineering, Cheonan, 330-704, Korea Introduction The recent development of teachable agent provides the learner with an active role as a knowledge constructor and focuses on the individualization. Individualized agent provides differential interface and responses adaptively depending on the characteristics of user and its behaviors. The aim of the ‘adaptive agent’ is not only to maximize the learner’s cognitive functions but also to enhance the interests and motivation to learn. To improve adaptiveness and individualization of the agent, it is necessary to assess each user’s specific cognitive and motivational characteristics and ongoing response patterns during learning. In order to establish the Figure 1: Structure of nodes (d: duration, f: frequency, n: number) relationships among user characteristics and response patterns and to extract the algorithm among Conclusion variables, we measured the individual characteristics and The results suggest that certain type of learner responses or analyzed logs of the teachable agent named KORI (KORea the combination of the responses would be useful indices to university Intelligent agent) through the student modeling. predict the learners’ individual characteristics and ongoing learning outcome. This study proposed a new type of Method dynamic assessment for individual differences and ongoing cognitive/motivational learning outcomes through the Participants. computation of responses without measuring them directly. Twelve fifth graders (8 males and 4 females) participated in The individualization is the ultimate goal of developing the the student modeling. learning agent. Thus construction of individualized student model based on the ongoing response pattern of the user that Procedure. are highly correlated with the individual differences and All of the participants took the 30 minutes lesson on the learning outcome may be the useful methodology to ‘Rock Cycle’ which is about the three kinds of rocks and their understand the learner’s dynamic change during learning. transformation. Next, participants filled in questionnaires on individual characteristics including self-efficacy, goal Acknowledgments orientations, and metacognition. The final step is the 30 - 40 This research was supported by Brain informatics Research minute interaction with KORI. During this period, the log Program sponsored by Korean Ministry of Science and data were recorded automatically and participant’s behaviors Technology. were videotaped. After teaching KORI, participants completed the interest questionnaire and comprehension test. References Results Biswas, G., Schwartz, D., Bransford, J. & TAG-V. (2001). Technology support for complex problem solving: From SAD environment to AI. In Forbus and Feltovich, (Eds.), Smart machines in education, Menlo Park, CA: AAAI Press. Chi, M.T.H., Siler, S. A., Jeong, H., Yamauchi, T., & Hausmann, R. G. (2001). Learning from human tutoring. Cognitive Science, 25(4), 471-533. A correlation analysis was conducted to identify the relationships among individual characteristics, user responses, and learning outcomes. Among hundreds of possible relationships between numerous variables in three dimensions, nine key user responses were extracted, which were highly correlated with either individual characteristics and learning outcomes (See Figure 1)." @default.
• W2183042908 created "2016-06-24" @default.
• W2183042908 creator A5009494138 @default.
• W2183042908 creator A5009846064 @default.
• W2183042908 creator A5012640415 @default.
• W2183042908 creator A5016085975 @default.
• W2183042908 creator A5017691460 @default.
• W2183042908 creator A5017968445 @default.
• W2183042908 creator A5028023630 @default.
• W2183042908 creator A5046958138 @default.
• W2183042908 creator A5057906508 @default.
• W2183042908 creator A5088322560 @default.
• W2183042908 date "2001-01-01" @default.
• W2183042908 modified "2023-09-22" @default.
• W2183042908 title "Student Modeling for Adaptive Agent to Enhance Interest and Comprehension" @default.
• W2183042908 cites W2121477371 @default.
• W2183042908 hasPublicationYear "2001" @default.
• W2183042908 type Work @default.
• W2183042908 sameAs 2183042908 @default.
• W2183042908 citedByCount "0" @default.
• W2183042908 crossrefType "journal-article" @default.
• W2183042908 hasAuthorship W2183042908A5009494138 @default.
• W2183042908 hasAuthorship W2183042908A5009846064 @default.
• W2183042908 hasAuthorship W2183042908A5012640415 @default.
• W2183042908 hasAuthorship W2183042908A5016085975 @default.
• W2183042908 hasAuthorship W2183042908A5017691460 @default.
• W2183042908 hasAuthorship W2183042908A5017968445 @default.
• W2183042908 hasAuthorship W2183042908A5028023630 @default.
• W2183042908 hasAuthorship W2183042908A5046958138 @default.
• W2183042908 hasAuthorship W2183042908A5057906508 @default.
• W2183042908 hasAuthorship W2183042908A5088322560 @default.
• W2183042908 hasConcept C199360897 @default.
• W2183042908 hasConcept C41008148 @default.
• W2183042908 hasConcept C511192102 @default.
• W2183042908 hasConceptScore W2183042908C199360897 @default.
• W2183042908 hasConceptScore W2183042908C41008148 @default.
• W2183042908 hasConceptScore W2183042908C511192102 @default.
• W2183042908 hasIssue "27" @default.
• W2183042908 hasLocation W21830429081 @default.
• W2183042908 hasOpenAccess W2183042908 @default.
• W2183042908 hasPrimaryLocation W21830429081 @default.
• W2183042908 hasRelatedWork W1487453808 @default.
• W2183042908 hasRelatedWork W1575672287 @default.
• W2183042908 hasRelatedWork W1587702748 @default.
• W2183042908 hasRelatedWork W1851303812 @default.
• W2183042908 hasRelatedWork W189867184 @default.
• W2183042908 hasRelatedWork W2009400593 @default.
• W2183042908 hasRelatedWork W2025986561 @default.
• W2183042908 hasRelatedWork W2075186445 @default.
• W2183042908 hasRelatedWork W2095942426 @default.
• W2183042908 hasRelatedWork W2100103308 @default.
• W2183042908 hasRelatedWork W2111445955 @default.
• W2183042908 hasRelatedWork W2130470601 @default.
• W2183042908 hasRelatedWork W2146178281 @default.
• W2183042908 hasRelatedWork W2188521563 @default.
• W2183042908 hasRelatedWork W2336909788 @default.
• W2183042908 hasRelatedWork W2401189705 @default.
• W2183042908 hasRelatedWork W2503750189 @default.
• W2183042908 hasRelatedWork W2584587856 @default.
• W2183042908 hasRelatedWork W2588012797 @default.
• W2183042908 hasRelatedWork W2620291583 @default.
• W2183042908 hasVolume "27" @default.
• W2183042908 isParatext "false" @default.
• W2183042908 isRetracted "false" @default.
• W2183042908 magId "2183042908" @default.
• W2183042908 workType "article" @default.