• Title/Summary/Keyword: 맞춤형 학습정보

Search Result 224, Processing Time 0.026 seconds

The Efficacy of Online Lectures in University and English Reading Comprehension for EFL Learners (EFL 학습자의 영어 독해력 향상을 위한 대학 온라인 강의의 효율성 연구)

  • Kim, Hye-Jeong
    • The Journal of the Convergence on Culture Technology
    • /
    • v.6 no.3
    • /
    • pp.225-231
    • /
    • 2020
  • This study aims to examine the efficacy of online lectures conducted by most universities in 2020 in response to the Covid-19 crisis. Furthermore, this study analyzes students' opinions regarding online lectures, thereby assessing the possible direction that future online lectures could take. This study's results indicate that online lectures can have a positive effect on learners' reading comprehension. Also, student satisfaction with online lectures was found to be quite high. Among the reasons students cited for favoring the online format were: (1) the fun presentation of class information; (2) the diversity of subjects covered; and (3) the ease of using the Internet. Among the improvements made for enhancing online lectures were technical enhancements (such as fixing attendance check authentication errors) and stabilizing the playback of lecture videos. By way of concluding, this study claims that professors who are familiar with giving lectures in person should come to recognize that online lectures are not simply another option, but are essential for the future. As such, the academic community must focus on developing online content as a way to further higher education's development in meeting the academic demands of both the present and the future.

Kingomanager: A Personalized Information-providing Application with a Recommendation System for University Students (Kingomanager: 추천시스템을 활용한 대학생 맞춤형 정보 제공 어플리케이션 개발)

  • Shingyu Kang;JunWoo Kim;ChoongHyeon Park;Hyungjoon Koo
    • Annual Conference of KIPS
    • /
    • 2023.05a
    • /
    • pp.532-533
    • /
    • 2023
  • 대학 생활을 하면서 자신이 필요한 정보를 모두 챙기기는 쉽지 않다. 매번 학교 홈페이지나 관련 사이트에 접속하여 확인하는 것은 번거롭기도 하고 신입생의 경우에는 그런 정보의 존재조차 잘 모르는 경우가 많다. 때문에 이 논문에서는 웹 크롤링 방식을 통해 다양한 사이트에서 필요한 정보를 수집하고, 기계학습 모델 중 N-GCN을 기반으로 한 추천시스템을 이용하여 본인에게 맞는 추천과목, 동아리 모집공고, 학술대회, 채용공고 등의 정보를 제공해주는 Kingomanager를 소개한다. Kingomanager는 학생들의 학년, 관심분야를 고려해서 개개인별 맞춤 정보를 추천해준다. 추천 받은 정보들은 메신저 형태의 어플리케이션을 통해서 확인할 수 있고, 해당 정보들은 언제든지 다시 검색하여 다시 찾아볼 수 있다. 어플리케이션 구현에서 Front-end는 React-Native를 사용하였고, Back-end는 Flask와 AWS 서비스를 사용하였다. 본 논문에서는 성균관대학교 소프트웨어학과 학생을 대상으로 하는 프로토타입 어플리케이션을 개발했다.

The Factors affecting self-directed learning ability of nursing students who experienced online lectures

  • So-Young, Lee
    • Journal of the Korea Society of Computer and Information
    • /
    • v.28 no.3
    • /
    • pp.119-126
    • /
    • 2023
  • This study attempted to find out the factors affecting the self-directed learning ability of nursing students who took online lectures. The research method was a structured questionnaire survey targeting 2nd to 4th grade nursing college students, and the analysis method was analyzed by t-test, ANOVA, and multiple regression analysis. As a result of the study, the self-directed learning ability of nursing college students was an average of 3.48 points out of 5 points, and it was found that learning immersion had the greatest effect on self-directed learning ability. Based on the results of this study, it will be necessary to establish a quality education system and the efforts of instructors who apply various lecture methods or customized lecture programs so that learners can immerse themselves in learning in order to improve learners' self-directed learning ability.

Cafe recommendation algorithm using NLP (NLP를 이용한 카페 추천 알고리즘)

  • Dahyun Mok;Gyurin Byun;Hyunseung Choo
    • Annual Conference of KIPS
    • /
    • 2023.05a
    • /
    • pp.404-406
    • /
    • 2023
  • 본 논문은 맞춤형 카페 추천 서비스를 제안한다. 대중적인 포털 사이트의 카페 정보와 사용자 리뷰를 크롤링 하여 지역별, 키워드별 카페 데이터를 수집한다. 사용자가 원하는 지역과 임의의 키워드를 기준으로 데이터셋 내의 키워드와 비교하여 가장 유사한 키워드를 추출한다. spaCy 라이브러리의사전 학습된 모델 중 similarity method를 사용하여 추출된 키워드를 바탕으로 해당하는 카페를 추천한다. 이를 통해 사용자는 불필요한 정보를 걸러내고 쉽게 원하는 정보를 얻을 수 있다.

Gender Classification of Speakers Using SVM

  • Han, Sun-Hee;Cho, Kyu-Cheol
    • Journal of the Korea Society of Computer and Information
    • /
    • v.27 no.10
    • /
    • pp.59-66
    • /
    • 2022
  • This research conducted a study classifying gender of speakers by analyzing feature vectors extracted from the voice data. The study provides convenience in automatically recognizing gender of customers without manual classification process when they request any service via voice such as phone call. Furthermore, it is significant that this study can analyze frequently requested services for each gender after gender classification using a learning model and offer customized recommendation services according to the analysis. Based on the voice data of males and females excluding blank spaces, the study extracts feature vectors from each data using MFCC(Mel Frequency Cepstral Coefficient) and utilizes SVM(Support Vector Machine) models to conduct machine learning. As a result of gender classification of voice data using a learning model, the gender recognition rate was 94%.

Design of Effective Teaching-Learning Method in Algorithm theory Subject using Flipped Learning (플립러닝을 적용한 알고리즘 이론교과목의 효과적인 교수학습방법 설계)

  • Jang, Sung-jin
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.21 no.5
    • /
    • pp.1042-1048
    • /
    • 2017
  • Recently rapid changes in the industrial environment require new talents in companies. Flipped learning is drawing attention as an effective teaching-learning method. The existing traditional lecture teaching-learning method have various problems that the dropout rates of the student is high and the creative problem solving ability is hindered. In the case of the IT engineering college, most of the major theoretical courses require prior learning of the prerequisite coursework subjects. Therefore, effective teaching-learning methods must be developed to improve student participation and academic achievement. This paper proposes the flipped learning model consisting of five sets that combine the flipped learning and practice to improve student motivation and self - directed learning. Also, this paper analyzes the learning effect by applying it to the algorithm lecture of computer engineering and presents problem and utilization plan according to the result.

Design of educational platform for strategic job plannning (직업준비를 위한 전략적 학습지원 교육플랫폼의 설계)

  • Jung, Myungee;Jung, Myungsun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2022.10a
    • /
    • pp.272-275
    • /
    • 2022
  • Large-scale online platforms such as MOOCs-Massive Open Online Courses, which provide a variety of educational contents, have provided a learning environment that allows students to freely access and learn anytime and anywhere. Currently, the proportion of online lectures and home-based learning is increasing, and portfolio or experience-based learning such as bootcamp, field activities, and team project-based group learning are also being actively carried out for educational outcomes. At present, interest in nano or microdegree focused on core technology in units of hours or credits is increasing significantly because such strategic intensive education enables effective learning in terms of continuity and efficiency of education. In an era of large changes in job market due to the reorganization of the industrial structure by new technologies, intensive education in specialized new technology fields such as smart mobility, big data, and artificial intelligence is much more conducive to finding a job. With this reason it is attracting attention as an alternative to lifelong learning are receiving In this paper we propose an educational platform that can efficiently and effectively support the purpose learning for the personalized microdegree education in the online learning era.

  • PDF

Convergence Strategy for Promoting the Admissions of Adult Learning in the College of Lifelong Education (대학의 평생교육체제 성인학습자 입시홍보 융합전략)

  • Kim, In Sook
    • Journal of Internet of Things and Convergence
    • /
    • v.5 no.2
    • /
    • pp.89-94
    • /
    • 2019
  • The purpose of this study was to empirically analyze the motivation of university lifelong education and the factors that are important in selecting it. In the motivation for participation of adult learners, learning new knowledge and skills in the first place and learning new things in the second place were good, so that they could learn together in the third place. Active school investment in faculty and staff will be needed to increase program diversity and quality through professionalism. Adult learners are getting information from the system they are interacting with, and furthermore, they learn the information from the public relations of university professors. Since they are acquiring paths and information through acquaintances, it is necessary to continuously promote the curriculum to unspecified adult learners. Advertisement should take advantage of various convergence strategies such as hanging banners in the area, publicity of the subway, local newspapers, word of mouth, SNS, and the Internet.

The educational contents recommendation system using the competency ontology (역량 온톨로지 기반 교육 콘텐츠 검색 시스템)

  • Lee, Yoon-Soo;Chang, Byoung-Chol;Kang, Hyun-Sang;Cha, Jae-Hyuk
    • Journal of Digital Contents Society
    • /
    • v.11 no.4
    • /
    • pp.487-494
    • /
    • 2010
  • One of the major issues in the field of corporate training and formal education is the support of personalized learning. Successful personalized learning needs the availability of the relevant learning contents at just-in-time for learners each. The competency is one of personal characteristics. So competency-based learning is one of the methods that fulfill the above need. Successful competency-based learning needs the method that recommends the relevant contents for the user's deficient competency based on the user's current competency and objectives. We assume that there exists a student information system that provides each user's competences and objectives as fields of a LIP/ePortfolio-compliant student information. This paper proposes an ontology-based system that, given the user's competences and objectives from the above student informaton system, recommends the relevant contents among a large number of educational contents using competency ontology and domain ontology. The advantage of this system can easily handle the change of competency map and terms related with competences in student information and education contents.

Development of a Design Model for School Library-based Instruction under EduTech (에듀테크 기반 학교도서관활용교육 설계 모형 개발)

  • Gi-Ho Song
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.58 no.1
    • /
    • pp.31-51
    • /
    • 2024
  • The purpose of this study is to propose a design model for school library based instruction under EduTech. EduTech-based education expands learning boundaries and requires new instructional environments and learning experiences for learner-centered deeper learning. Accordingly, this study modified the ADDIE model based on the system theory and presented a four-stage instructional design model (draft) consisting of 'analysis stage, preliminary learning and development stage, learning management stage, and team teaching evaluation stage.' This model reflects elements of flipped learning, the backward design model, and inquiry-based learning to develop of customized student materials and inquiry activities. In addition, the scope of learning was expanded to include prior learning, face-to-face learning, and additional learning to increase the diversity of collaboration and opportunities to utilize school library materials. Also, Several ways for school library based instruction within EduTec were proposed in terms of teacher librarians' expertise, school library space, budget, standard curriculum development, and comprehensive support system for reading education.