• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.285-291
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• 2001

This paper describes a natural language question answering system that can be used by students in getting as solution to their queries. Unlike AI question answering system that focus on the generation of new answers, the present system retrieves existing ones from question-answer files. Unlike information retrieval approaches that rely on a purely lexical metric of similarity between query and document, it uses a semantic knowledge base (WordNet) to improve its ability to match question. Paper describes the design and the current implementation of the system as an intelligent tutoring system. Main drawback of the existing tutoring systems is that the computer poses a question to the students and guides them in reaching the solution to the problem. In the present approach, a student asks any question related to the topic and gets a suitable reply. Based on his query, he can either get a direct answer to his question or a set of questions (to a maximum of 3 or 4) which bear the greatest resemblance to the user input. We further analyze-application fields for such kind of a system and discuss the scope for future research in this area.

• Journal of Korea Multimedia Society
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• v.22 no.11
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• pp.1251-1258
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• 2019

Intelligent tutoring system enables users to effectively learn by utilizing various artificial intelligence techniques. For instance, it can recommend a proper curriculum or learning method to individual users based on their learning history. To do this effectively, user's characteristics need to be analyzed and classified based on various aspects such as interest, learning ability, and personality. Even though data labeled by the characteristics are required for more accurate classification, it is not easy to acquire enough amount of labeled data due to the labeling cost. On the other hand, unlabeled data should not need labeling process to make a large number of unlabeled data be collected and utilized. In this paper, we propose a semi-supervised learning method based on feedback variational auto-encoder(FVAE), which uses both labeled data and unlabeled data. FVAE is a variation of variational auto-encoder(VAE), where a multi-layer perceptron is added for giving feedback. Using unlabeled data, we train FVAE and fetch the encoder of FVAE. And then, we extract features from labeled data by using the encoder and train classifiers with the extracted features. In the experiments, we proved that FVAE-based semi-supervised learning was superior to VAE-based method in terms with accuracy and F1 score.

• Journal of The Korean Association of Information Education
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• v.2 no.2
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• pp.201-208
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• 1998

Recently software complexity will continue to increase dramatically in the coming decades because of the dynamic and distributed nature of both data and applications. Not only must software systems assist in coordinating tasks among humans, they must also help mannage cooperation among distributed programs. Software agent may properly respond to these requirements. This paper investigates the adaptive characteristics found in adaptive tutoring agents. To funcion effectively throughout the range of situations presented by such a dynamic and extremely-distributed information entities, an agent must be highly adaptive. Adaptivity exists in several key aspects of agent's behavior to its dynamic situation. My goal is to show the various aspects of internal adaptivity that could be applied to build comprehensive agents that function effectively in tutoring agent system.

• Child Health Nursing Research
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• v.28 no.4
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• pp.280-290
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• 2022

Purpose: This study aimed to explore nursing students' experiences of neonatal nursing simulations using peer tutoring. Methods: In this qualitative content analysis study, data were collected using a narrative survey and focus group interviews with 27 third-year nursing students and six fourth-year nursing students from April to May 2022. Content analysis of the collected data was conducted. Results: Four categories-"stabilizing emotionally through each other", "advancing together", "difficulties in relationships", and "hoping to continue"-and nine sub-categories were extracted. The sub-categories "reduced burden" and "gaining confidence" were grouped into the first category, "stabilizing emotionally through each other". The sub-categories "being motivated to learn," "increased learning ability", and "preparation as a process" were grouped under "advancing together", and "attitudes affecting study environment" and "depending on help" were grouped into the third category of "difficulties in relationships". The fourth category of "hoping to continue" had "wanting to supplement for development" and "wanting to participate in different roles" as sub-categories. Conclusion: Based on the results of this study, we expect pediatric nursing practicum education to improve through the active use of neonatal nursing simulation education incorporating peer tutoring.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.453-463
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• 2019

The purpose of study was the non-equivalent control group pretest-posttest design to test the effect of self-directed nursing practice based peer-tutoring of same sophomore, on the level of confidence, performance and self-efficacy of core nursing skills in nursing students. The subjects were 68 nursing students in K City from May 1^th to June 12^th in 2019. The participants were shared into the peer tutoring practice group (experimental group, n=34) and the lecturer guided practice group (control group, n=34). The results of study, the experimental group scored significantly higher on the foley catheterization performance (t=11.60, p<.001), confidence (t=4.123, p<.001) and wearing protection equipment performance (t=5.91, p<.001), confidence (t=4.24, p<.001) and enema performance (t=2.82, p=.008), confidence (t=2.09, p=.044) and self-efficacy (t=4.52, p<.001) than control group. Therefore, the results justified that self-directed nursing practice based peer-tutoring could be effective in improving the performance, confidence and self-efficacy of core nursing skills in nursing students. Based on this, I suggest the study that examines the effects of peer-tutoring by applying it to various majors.

• Journal of the Korean Chemical Society
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• v.51 no.1
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• pp.82-92
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• 2007

This study investigated the influences of reciprocal peer tutoring strategy and field independencedependence in the instruction enhancing student questions by using weekly reports. Seventh graders (N=152) from a middle school were assigned to WR (weekly reports) and WR-RPT (weekly reports-reciprocal peer tutoring) groups. Students were taught about ‘three states of matter', ‘motion of molecules', and ‘change of states and thermal energy for eighteen class hours and wrote weekly reports six times for the period. The students in the WR-RPT group also conducted reciprocal peer tutoring with the questions of weekly reports which they wrote. The results revealed that the scores of the WR-RPT group were significantly higher than those of the WR group in a conception test regardless of students' field independence-dependence. The field dependent students in the WR-RPT group performed better in an achievement test than those in WR group, while there was no significant difference for the field independent stu dents between the two groups. Additionally, field independent students in each group scored significantly higher than field dependent students in the two tests. Many students, especially having more field independence in the WR-RPT group, perceived WR-RPT positively.

• Journal of Educational Research in Mathematics
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• v.25 no.1
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• pp.113-137
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• 2015

The objective of the present study is to systematically examine the effects of on the cognitive and affective domains of elementary, middle, and high school students by conducting a meta-analysis. To this end, this study selected 31 research papers that had analyzed the effects of applying, and performed a meta-analysis of the findings presented in each research paper. The results obtained from the meta-analysis are presented as follows. First, both the collaborative learning program and the peer tutoring program for underachieving students in math manifested an above average size of effect in the cognitive domain. In particular, the effect was the greatest at the elementary school level, and out of the two programs, peer tutoring was identified to have a sizable effect. Second, both programs displayed an above average size of effect in the affective domain, and peer tutoring was identified to have a higher effect than collaborative learning. In addition, when the programs were compared based on school levels, the size of effect was highest at the elementary school level followed by middle school and high school, in that order. When compared based on the criteria of the affective domain, self-efficacy in math, learners' attitude toward math, and learners' interest in math were identified to. Finally, this study presented suggestions for teaching underachieving students in math and conducting follow-up studies based on the analysis results.

• Korea Multimedia Society
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• v.6 no.4
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• pp.33-44
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• 2002

• Korean Journal of Cognitive Science
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• v.3 no.2
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• pp.291-309
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• 1992

The computer manipulation by means of natural language prcessing will be not only helpful to use the computer with more simple and more comfortable but also flexiable to communicate between human and computers.In this paper the natural language interfaces will be applied to an intelligent geography tutoring systems(IGTS),and we will inspect the something to consider in the case of its implementation.Each module of IGTS is connected to the interface module and correspondence with each other for the sake of natural conversation between system and learner.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11
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• pp.2989-3000
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• 1999

Until now, most Intelligent Tutoring Systems are lacking in the modularity, the extensibility of the system, and the flexibility in the dynamic environment due to the static exchanges of knowledge among modules. To overcome these flexibility in the dynamic due to the static exchanges of knowledge among modules. To overcome these problems, we will suggest, in this paper, a Distance Intelligent Tutoring Framework, called DELFOM, based on the multiagent to cope with the various and complicated learner's requests. We could make different types of learning systems by simply changing the contents of DELFOM External that is variant part of DELFOM. This framework, therefore, provides software reuse and the extensibility based on object-oriented paradigm. And we will propose two different distance learning systems using DELFOM. Therefore this framework gives the developer/the learner the effective and easy development/learning environment. DELFOM is implemented using CORBA and Java for the network transparency and platform independence.