• Journal of Digital Convergence
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• v.19 no.9
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• pp.307-316
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• 2021

This study aims to explore the effects of deductive FFI and inductive FFI in L2 learners' grammatical achievement and their reaction to the grammar instruction. 84 students were placed into three groups: 29 given deductive FFI(DG), 28 receiving inductive FFI(IG), and 27 with traditional instruction(CG). All students completed pre/post tests and questionnaires, and took a delayed post test 9 weeks after the treatment. For statistical anlayses of all the quantitative data, a one-way ANOVA, paired samples T-test, and repeated measures ANOVA were performed. The results indicated that both deductive and inductive FFI affected learners' grammatical achievement and their achievement was sustained over time. Deductive FFI was more effective than inductive FFI, whereas the IG students more positively changed their attitudes and perceptions to the grammar instruction. These findings of the study imply that FFI should be valued in an Korean EFL classroom, which would contribute to further longitudinal research for its sustainability.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.777-785
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• 2016

Engineering education accreditation addresses evaluation for program outcomes according to educational objectives and assessment process, which students are expected to obtain by the time of graduation in order to train international competitive engineers with continuous quality improvement in engineering programs. This paper shows a case study of a program outcomes assessment system including performance criteria, evaluation process, document system and continuous quality improvement process and an achievement evaluation by the assessment system for program outcomes in Information Security Program of Hoseo university.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.1389-1392
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• 2007

인터넷과 통신 기술의 발달로 사이버학습, 원격교육 등 많은 서비스가 제공되고 있다. 그러나, 이러한 매체 발전에 비해 원격 교육으로 인한 학습자의 학습 효과에 대한 연구는 미약하다. 원격 교육의 경우 매체의 특성상 학습자의 편리, 시공간적인 제약의 극복 등 많은 긍정적 효과들을 바탕으로 자기주도 학습을 가능하게 하지만, 모니터링 기능의 부재로 학습자의 자기조절학습이 어려워 학습 효과를 높일 수 있는 방안이 요구되어 진다. 원격교육에서 학습자의 성실한 학습태도는 학습효과를 높이는 중요한 요소이다. 원격 학습자가 학습 컨텐츠를 수강하기 시작하여 마치기까지 모니터링 함으로써 학습자의 집중도와 성취도를 평가하고자 한다. 따라서 본 논문에서는 원격 교육에서 학습자의 학습 태도를 실시간으로 평가하고 분석하는 모니터링 기능을 가진 학습 평가 시스템을 구현하여, 학습 효과를 높일 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.545-548
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• 2002

최근에 웹 기반 교육 시스템으로서 다양한 온라인 학습에 대한 새로운 교수 모형이 제시되고 있다. 또한, 학습자의 요구에 맞는 코스웨어의 주문이 증가되고 있는 추세이며 그에 따라 뭔 기반 교육 시스템에 효율적이고 자동화된 교육 에이전트의 필요성이 인식되고 있다. 그러나 현재 연구되고 있는 많은 교육 시스템들은 학습자 성향에 맞는 코스를 적절히 서비스해 주지 못할 뿐 아니라 지속적인 피드백과 학습자가 코스를 학습함에 있어서 취약한 부분을 재학습 할 수 있도록 도와주는 서비스를 원활히 제공하지 못하고 있다. 본 논문에서는 취약성 분석 알고리즘을 이용한 학습자 중심의 코스 스케쥴링 멀티 에이전트 시스템을 제안한다. 제안한 시스템은 먼저 학습자의 학습을 지속적으로 모니터링하고 평가하여 개인 학습자의 학습 성취도를 계산하며, 이 성취도를 에이전트의 스케줄에 적용하여 학습자에게 적합한 코스를 제공하고, 학습자는 이러한 코스에 따라 능력에 맞는 반복된 학습을 통하여 적극적인 완전학습을 수행하게 된다.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.480-486
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• 2006

본 연구는 대학생을 대상으로 사이버 강좌에서 사용되는 세가지 정보제시 유형에 따라 학습자의 학습 수행, 콘텐츠 만족도, 그리고 학습성취 기대감에 어떤 차이가 있는지를 알아보고자 하였다. 이에 공기펌프 작동원리, 브레이크 작동원리, 번개형성과정의 세가지 과제를 나레이션+텍스트(na+text), 나레이션+삽화(na+illust), 나레이션+애니메이션(na+ani)의 세가지 정보제시 유형의 콘텐츠를 제작하였다. 먼저 학습수행에 있어서는 브레이크 과제에서 정보제시 유형별 유의한 차이가 나타났으며 세가지 정보제시 유형 모두에서 na+illust, na+ani, na+text 조건 순으로 성취가 높았다. 번개형성과정에서도 정보제시 유형별 유의한 차이가 있었고, na+text, na+ani, na+illust 의 순으로 학습성취가 높은 것으로 나타났다. 콘텐츠 만족도에 있어서는 공기펌프와 브레이크 과제 모두에서 제시유형별로 유의한 차이가 있는 것으로 나타났으며, na+ani, na+illust, na+text 순으로 만족하는 것으로 나타났다. 학습성취에 대한 기대감도 공기펌프와 브레이크 과제 모두에서 유의한 차이가 있으며, 그 순서는 만족도와 동일하였다. 이 연구의 결과는 나레이션이 제공되는 3 가지 정보제시 유형의 콘텐츠를 학습함에 있어 학습과제와 학습과제 제시 유형에 따른 학습 수행의 차이를 확인할 수 있었다. 또한 이러한 학습수행 결과는 피험자의 콘텐츠 만족도와 학습 성취 기대감과는 다른 패턴을 보임으로써 정보제시 유형에 대한 평가와 실제 학습수행과는 차이가 있음을 시사한다.

• The Journal of Korean Association of Computer Education
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• v.9 no.4
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• pp.35-42
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• 2006

We have investigated the effect of student-generated rubrics on learning motivation and achievement in performance evaluation of computer class. We studied the related previous researches and developed the procedure for performance evaluation using student-generated rubrics. According to thc developed procedure, the performance evaluation has been carried. Students have more clear understanding of their assignments and rubrics during the negotiation process. Student generated rubric has a positive effect on learning motivation and achievement.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.252-263
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• 2019

This study attempted to apply flip-learning and to evaluate college students' awareness and academic achievements. Twenty-seven students in single-group dental hygiene were applied to the dental radiology class for four weeks. Data collection was done after the flipped-learning and collected data were analyzed using frequency, average and content analysis using SPSS 18.0. As a result, awareness of overall class was a positive response, and academic achievement evaluation was not statistically significant. It was found to be an effective educational program. However, the academic achievement evaluation was not statistically significant and it was considered that the evaluation system needs to be different according to the learning method.

• (The) Korean Journal of Educational Psychology
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• v.22 no.1
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• pp.215-234
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• 2008

This study investigates the effect of cloze procedure using either cartoons or texts on academic interests and reading achievements. Three equivalent classes were selected from an 1st grade in elementary school in terms of academic interests and reading achievements. While two experimental conditions used cloze procedure either with cartoons or texts during 15 lessons, the control condition used a traditional reading procedure. The results indicated that cloze procedure with cartoons enhanced academic interests in reading only for low achievement participants. Cloze procedure condition also outperformed the control condition on both immediate and delayed dictation test. In particular, cloze procedure with cartoons were quite effective for low achievement participants. Lastly, both types of cloze procedure facilitated overall comprehension test score, specifically inferential understanding test score but not factual understanding test score. Based on these findings, the types of text and learning strategy to improve academic interests and reading-related achievements were discussed.

• The Journal of Korean Association of Computer Education
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• v.4 no.1
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• pp.119-126
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• 2001

In this paper, a highly effective learning model that can be applied to the 7th level-based curriculum, which will begin in high schools in the year 2002, will be proposed. Two learning models that have different perspectives on dividing the students into level groups(diagnostic evaluation model and formative evaluation model) were introduced, and teaching materials for each model were developed. After applying the teaching materials to actual classes, the achievement rate of the students was analyzed. According to the results of this research, the achievement rate of students is affected by the point of time at which they are divided into level groups, and formative evaluation proved to be the superior learning model dividing students into level groups.

• The Mathematical Education
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• v.61 no.2
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• pp.257-271
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• 2022

As information and communication technologies are being developed so rapidly, education research is actively conducted to provide optimal learning for each student using big data and artificial intelligence technology. In this study, using the mathematics learning data of elementary school 5th to 6th graders conducting blended mathematics classes, we tried to find out what factors predict mathematics academic achievement and developed an artificial intelligence model that predicts mathematics academic performance using the results. Math learning propensity, LMS data, and evaluation results of 205 elementary school students had analyzed with a random forest model. Confidence, anxiety, interest, self-management, and confidence in math learning strategy were included as mathematics learning disposition. The progress rate, number of learning times, and learning time of the e-learning site were collected as LMS data. For evaluation data, results of diagnostic test and unit test were used. As a result of the analysis it was found that the mathematics learning strategy was the most important factor in predicting low-achieving students among mathematics learning propensities. The LMS training data had a negligible effect on the prediction. This study suggests that an AI model can predict low-achieving students with learning data generated in a blended math class. In addition, it is expected that the results of the analysis will provide specific information for teachers to evaluate and give feedback to students.