• Journal of Digital Convergence
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• v.15 no.7
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• pp.55-64
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• 2017

The purpose of this study is to identify the difficulties of learners who started programming after entering college and to search an effective software education method as university liber arts for non-science major students. In order to do this, we analyzed the difficulties of learners in Python programming classes composed of students from various majors at H University through questioning and taught them using flipped class model with pre-questions. The questions that students submit are collected online before class every time, the data on the degree of the difficulty of feeling and the understanding of feeling were obtained through the questionnaire. As a result, for learners who are new to programming, the learners should allocate the process of making the problem into a logical abstraction at the beginning of the curriculum before learning the basic concept of computer language, each lesson should be practiced through the bottom-up problems enough to provide a logical understanding before actual coding. In addition, detailed curriculum should be developed according to characteristics of learner's major, contents and conducting level.

• The Mathematical Education
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• v.58 no.2
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• pp.239-262
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• 2019

This study deals with the anxieties that originated from specific student questions. Through the analysis of the textbooks, we confirmed that the question was a sufficiently plausible question. Third interviews were also held with three high school students. Through the interviews, we analyzed students' expressions about the new correspondence relationship that the two correspondence relations are linked. In the determination of the composite function and the determination of the inverse function existence, We have observed a case of how the worries about domain are being reconstructed from students into meaningful mathematical knowledge. Through this, we confirmed that the question will be confusing to students in the field. In this study, we observed the transfer of domain in relation to student domain in composite function. In particular, a present study revealed that the students involved in the interview were influenced by this domain transfer phenomenon in determining whether the task given in the interview was a function. This was the same in determining the existence of a inverse function. The examples presented in this study are limited to specific cases in limited circumstances. Therefore, it can not be applied directly to teaching and learning situations. However, it is expected that this study will provide other researchers with insight into function learning related research.

• Journal of Practical Engineering Education
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• v.8 no.2
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• pp.75-81
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• 2016

This research proposes to design a flipped classroom with strategic questioning to enhance engineering student's creative problem-solving competency on the basis of the subject knowledge. By applying the designed flipped classroom to both of college and dual system engineering courses during one semester, this study explores to find the meaning and effects of the flipped learning method. The case study analyzed the influences of the flipped learning with the use of strategic questioning on student's problem-solving performance, and also investigated student satisfaction and evaluation of the learning in order to draw out the factors to consider further in the instructional design.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.366-371
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• 2023

신경망 기반의 검색 모델이 활발히 연구됨에 따라 효과적인 대조학습을 위한 다양한 네거티브 샘플링 방법이 제안되고 있다. 대표적으로, ANN전략은 하드 네거티브 샘플링 방법으로 질문에 대해 검색된 후보 문서들 중에서 정답 문서를 제외한 상위 후보 문서를 네거티브로 사용하여 검색 모델의 성능을 효과적으로 개선시킨다. 하지만 질문에 부착된 정답 문서를 통해 후보 문서를 네거티브로 구분하기 때문에 실제로 정답을 유추할 수 있는 후보 문서임에도 불구하고 네거티브로 분류되어 대조학습을 진행할 수 있다는 문제점이 있다. 이러한 가짜 네거티브 문제(False Negative Problem)는 학습과정에서 검색 모델을 혼란스럽게 하며 성능을 감소시킨다. 본 논문에서는 False Negative Problem를 분석하고 이를 완화시키기 위해 가짜 네거티브 분류기(False Negative Classifier)를 소개한다. 실험은 오픈 도메인 질의 응답 데이터셋인 Natural Question에서 진행되었으며 실제 False Negative를 확인하고 이를 판별하여 기존 성능보다 더 높은 성능을 얻을 수 있음을 보여준다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.185-186
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• 2020

최근 제품을 주문하거나 상품을 조회하는 등의 간단한 상담을 챗봇을 이용하여 자동화하는 온라인 쇼핑몰들이 늘어나고 있다. 이는 고객을 상담하는 상담원의 업무를 줄여줄 뿐 아니라 고객 상담을 즉각적이고 효율적으로 진행할 수 있다. 또한 사용자의 입장에서 챗봇은 처음 이용하는 사람도 사용하기가 쉽고, 상담원과의 연결까지 기다리지 않고 사용자가 원하는 시간에 커뮤니케이션이 가능하고, 기업 측면에서는 인건비가 감소되고 고객관리가 용이해진다는 장점이 있다. 그러나 챗봇은 주어진 질문에만 대답할 수 있고, 처음 메뉴를 파악하기 힘들다는 단점이 있다. 따라서 본 논문에서는 카카오톡 오픈빌더를 사용하여 질문의도를 파악하는 intent와 entity를 추출한 뒤 딥러닝을 통해 체계적으로 학습을 진행한다. 이를 통해 주어지지 않은 질문들을 파악한다. 또한, 오픈빌더의 시나리오 선택 기능을 활용하여 초기에 선택할 수 있는 메뉴를 파악하기 쉽도록 구현하였다. 사용자는 본 논문에서 제안하는 챗봇을 통해 사용자는 상담에 필요한 도움을 받을 수 있을 것으로 기대된다.

• Journal of the Korean School Mathematics Society
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• v.21 no.2
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• pp.141-160
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• 2018

In order to propose effective learning methods to teach basic mathematics course for students of business administration, we conducted the survey on recognition and attitude on mathematics subjects, and analyzed academic achievements of the business mathematics as a basic mathematics course in relation to the results of the survey. First, we investigated learning contents and problems difficult for students to understand in the course, and presented the instructional method and significance of them with examples. These learning contents and problems were collected from the students using the mathematics cafe. Furthermore, we analyzed types of the incorrect answers on the midterm and final examinations in the business mathematics. Although it is difficult to generalize the finding to all of the business administration students due to differences in academic level and educational environment, much work has been put in to present learning method of the business mathematics for students of business administration.

• Journal of the Korean Chemical Society
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• v.61 no.3
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• pp.104-111
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• 2017

In this study, we analyzed verbal interactions in small group science learning using smart devices by the level of prior achievement. Four heterogeneous groups at a coed high school in Seoul participated. Verbal interactions during small group science learning were audio- and video-taped, transcribed, and analyzed. Verbal interactions were analyzed at the levels of a turn and an interaction unit. The results revealed that the frequencies of verbal interactions were high in task category, especially at information explanation, information question, and reflection on standards subcategories. Furthermore, the frequencies of high-level students at direction explanation, reflection on standards and progress subcategories were higher than those of low-level students, and the frequencies of low-level students at direction question and information explanation subcategories were higher than their counterpart. In the analyses of the interaction units, the frequencies in symmetric elaborated interaction were high, especially at cumulative and evaluative subcategories.

• Journal of The Korean Association of Information Education
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• v.14 no.1
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• pp.1-12
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• 2010

For hearing-impaired students, it is known that reading ability is the most important means of communication. In the meanwhile, with recent development of wireless communication technologies, mobile devices are used in various education fields. The purpose of this study is to design and implement a mobile system to improve reading ability of hearing-impaired students. For this purpose, "Question Generation Strategy", known as one of the effective methods for improving reading ability, is adopted to make study contents. Also, 2Bi (Bilingual-Bicultural) Approach Model, an attractive model for improving reading ability of hearing-impaired students, is used. Characteristics of the proposed mobile system are as follows. First, the system is developed to let students learn written language usage through repetition and difference of two organically-related curriculums for hearing-impaired students. Second, study contents are made to increase sentence understanding ability using an activity that is to let students read articles, make questions and answer questions for themselves. Third, the proposed system is designed and implemented to allow students to choose study contents individually anytime anywhere depending on their study levels.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.245-252
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• 2016

The purpose of this study was to examine the relationship between the attachment of college students to parents and peers as intimate or major attachment objects and their self-regulated learning ability. To accomplish this, we conducted a survey with the parents-peer attachment scale and self-regulated learning scale. As a result, it was found that the relationship between their self-regulated learning ability and parents-peer attachment was significant, while the explicit goal-oriented variable as an essential factor in the regulation of their motivation was excluded. In addition, it was found that the effect of peer and mother attachment on their self-regulated learning ability was relatively high. On the other hand, two variables, viz. the test anxiety in motivation regulation and timing and studying regulation in behavior regulation, were heavily influenced by father attachment. These results could be interpreted in two ways. First, there could be a lower relationship between positive relations and comparative advantages and, second, these two items could be closely related to the negative factors in the relationship between father and child.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.269-274
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• 2023

질의응답 (Question Answering)은 주어진 질문을 이해하여 그에 맞는 답변을 생성하는 자연어 처리 분야의 핵심적인 기계 독해 작업이다. 현재 대다수의 자연어 이해 작업은 사전학습 언어 모델에 미세 조정 (finetuning)하는 방식으로 학습되고, 질의응답 역시 이러한 방법으로 진행된다. 하지만 미세 조정을 통한 전이학습은 사전학습 모델의 크기가 커질수록 전이학습이 잘 이루어지지 않는다는 단점이 있다. 게다가 많은 양의 파라미터를 갱신한 후 새로운 가중치들을 저장하여야 한다는 용량의 부담이 존재한다. 본 연구는 최근 대두되는 deep prompt tuning 방법론을 한국어 추출형 질의응답에 적용하여, 미세 조정에 비해 학습시간을 단축시키고 적은 양의 파라미터를 활용하여 성능을 개선했다. 또한 한국어 추출형 질의응답에 최적의 prompt 길이를 최적화하였으며 오류 분석을 통한 정성적인 평가로 deep prompt tuning이 모델 예측에 미치는 영향을 조사하였다.