• Title/Summary/Keyword: collaborative class

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Analysis of class satisfaction with Peer Evaluation in Collaborative Learning-based classes (협력학습 기반 수업에서의 동료평가에 대한 수업 만족도 분석)

  • Jeong, Sun-Kyeong;Park, Nam-Su
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.158-170
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    • 2022
  • The purpose of this study is to analyze class satisfaction with peer evaluation in Collaborative Learning-based classes. For collaborative learning-based classes, problem-based learning and project-based learning were selected. Educational implications were derived by designing Instructional procedures of Collaborative Learning-based classes, Peer evaluation types and questionnaire design, Peer evaluation progress of Collaborative Learning-based classes, Class satisfaction research and analysis In Collaborative Learning-based classes. The subjects of the study were participants in Collaborative Learning-based classes selected as problem-based learning and project-based classes. For class satisfaction with peer evaluation in Collaborative Learning-based classes, a survey was conducted on 168 participants A University in Korea. The research tool was designed as Learning procedures for peer evaluation Collaborative Learning-based classes is Team Building, Plan to the Task, To do Task, Mid-check on task, Task completion, Presentation & Evaluation, Reflection & Self-Evaluation. The content validity of items was confirmed by CVR of 12 experts. In the research results, the average class satisfaction of peer evaluation is 4.05(SD=91), followed by class concentration, diligence, voluntary, learning atmosphere. As a result of t-testing the difference in class type between collaborate learning-based classes, the satisfaction of PBL was higher than that of PjBL and a statistically significant difference was observed. The result of this study have significance in providing implications for class design and operation for the application and expansion of peer evaluation in higher education. However, there is a limit to generalization as a result of research using convenience.

Analysis of the Effect of Collaborative Problem-Solving Based Science Class on Students' Character Competency in the Elementary School Science 'Dissolution and Solution' Unit (초등학교 과학 '용해와 용액' 단원에서 협력적 문제해결에 기반한 수업이 학생들의 인성역량에 미치는 영향 분석)

  • Jiaeng, Park;Jihun, Park;Jeonghee, Nam
    • Journal of the Korean Chemical Society
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    • v.66 no.6
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    • pp.509-520
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    • 2022
  • This study investigated the impact of elementary school science classes based on collaborative problem-solving on the character competency of students. For this purpose, students from 2 classes in 5th grade at an elementary school in a metropolitan city were targeted, and elementary science classes based on collaborative problem-solving were developed and applied to the 5 topics selected from the 'dissolution and solution' unit in the elementary science curriculum. In order to investigate the effect of science class based on collaborative problem-solving on the character competency of students, results of the character competence test before and after the class, reflective writing activity sheets filled out by the students in the experimental group, and questionnaires regarding their changes in character competency after the class were analyzed. The results showed that elementary science classes based on collaborative problem-solving were effective in cultivating the character competence of elementary school students.

Wikispaces: A Social Constructivist Approach to Flipped Learning in Higher Education Contexts

  • Ha, Myung-Jeong
    • International Journal of Contents
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    • v.12 no.4
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    • pp.62-68
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    • 2016
  • This paper describes an attempt to integrate flip teaching into a language classroom by adopting wikispaces as an online learning platform. The purpose of this study is to examine student perceptions of the effectiveness of using video lectures and wikispaces to foster active participation and collaborative learning. Flipped learning was implemented in an English writing class over one semester. Participants were 27 low intermediate level Korean university students. Data collection methods included background questionnaires at the beginning of the semester, learning experience questionnaires at the end of the semester, and semi-structured interviews with 6 focal participants. Because of the significance of video lectures in flip teaching, oCam was used for making weekly online lectures as a way of pre-class activities. Every week, online lectures were posted on the school LMS system (moodle). Every week, participants met in a computer room to perform in-class activities. Both in-class activities and post-class activities were managed by wikispaces. The results indicate that the flipped classroom facilitated student learning in the writing class. More than 53% of the respondents felt that it was useful to develop writing skills in a flipped classroom. Particularly, students felt that the video lectures prior to the class helped them improve their grammar skills. However, with respect to their satisfaction with collaborative works, about 44% of the participants responded positively. Similarly, 44% of the participants felt that in-class group work helped them interact with the other group members. Considering these results, this paper concludes with pedagogical suggestions and implications for further research.

Deep Learning-based Product Recommendation Model for Influencer Marketing (인플루언서를 위한 딥러닝 기반의 제품 추천모델 개발)

  • Song, Hee Seok;Kim, Jae Kyung
    • Journal of Information Technology Applications and Management
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    • v.29 no.3
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    • pp.43-55
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    • 2022
  • In this study, with the goal of developing a deep learning-based product recommendation model for effective matching of influencers and products, a deep learning model with a collaborative filtering model combined with generalized matrix decomposition(GMF), a collaborative filtering model based on multi-layer perceptron (MLP), and neural collaborative filtering and generalized matrix Factorization (NeuMF), a hybrid model combining GMP and MLP was developed and tested. In particular, we utilize one-class problem free boosting (OCF-B) method to solve the one-class problem that occurs when training is performed only on positive cases using implicit feedback in the deep learning-based collaborative filtering recommendation model. In relation to model selection based on overall experimental results, the MLP model showed highest performance with weighted average precision, weighted average recall, and f1 score were 0.85 in the model (n=3,000, term=15). This study is meaningful in practice as it attempted to commercialize a deep learning-based recommendation system where influencer's promotion data is being accumulated, pactical personalized recommendation service is not yet commercially applied yet.

A Study of Instruction of Internet(IoI)-based Collaborative Learning Method in Elementary School Sixth Grade Mathematics Class (초등학교 6학년 수학수업에서의 수업인터넷 기반 협력학습 수업방법 탐색)

  • Choi, Byoung-Hoon;Yoon, Heon-Chul
    • Journal of Science Education
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    • v.41 no.2
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    • pp.248-266
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    • 2017
  • The purpose of this study is to present various examples of collaborative learning based on the Instruction of Internet in the 6th grade elementary school mathematics class. So we introduce the design method of classroom environment for classroom Internet and give example of various teaching methods. This study was conducted for nine months from March to November, 2016, one sixth grade of elementary school in D area. During this period, we conducted Instruction of Internet-based collaborative learning to classify typical teaching cases. We classified into 5 type collaborative learning. First, collaborative learning in the classroom. Second, remote collaborative learning between classroom and classroom. Third, Live participation classes. Forth, project collaborative learning. Fifth, using virtual reality in collaborative learning. In addition, we could identify that there is a difference compared to the conventional learning. It became possible to conduct collaborative learning with other students simultaneously or have opening class with both parents and teachers by using Youtube. These examples can be presented as a case to depart from traditional mathematics class in one classroom. In this regard, we will be able to provide several implications about teaching methods utilizing smart device and Internet in future classroom.

A Case Study of Collaborative Classes between a Teacher Librarian and a Chinese Language Teacher Applying Problem-based Learning: With a Main Focus on Students' Degree of Interest in Learning at S High School (PBL을 적용한 사서교사와 중국어 교과교사의 협력수업 사례 연구 - S고등학교 학생의 학습흥미도 변화를 중심으로 -)

  • Cho, Miah
    • Journal of the Korean Society for Library and Information Science
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    • v.48 no.2
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    • pp.65-88
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    • 2014
  • This study analyzed cases of collaborative classes between a teacher librarian and Chinese language teacher by applying problem-based learning (PBL) and intended to propose a desirable direction for class in operating collaborative classes of PBL. In order to achieve this purpose, methods to raise problems by BPL at the library of S High School, class content by each round of class, and cases of students' achievements were presented. In addition, statistical analysis of interest in subjects on 101 students in their sophomore year who had participated in PBL class was conducted. According to the study result, students' learning-related desire to accomplish, executive ability of learning, and interest were significantly improved.

A Study for GAN-based Hybrid Collaborative Filtering Recommender (GAN기반의 하이브리드 협업필터링 추천기 연구)

  • Hee Seok Song
    • Journal of Information Technology Applications and Management
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    • v.29 no.6
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    • pp.81-93
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    • 2022
  • As deep learning technology in natural language and visual processing has rapidly developed, collaborative filtering-based recommendation systems using deep learning technology are being actively introduced in the recommendation field. In this study, OCF-GAN, a hybrid collaborative filtering model using GAN, was proposed to solve the one-class and cold-start problems, and its usefulness was verified through performance evaluation. OCF-GAN based on conditional GAN consists of a generator that generates a pattern similar to the actual user preference pattern and a discriminator that tries to distinguish the actual preference pattern from the generated preference pattern. When the training is completed, user preference vectors are generated based on the actual distribution of preferred items. In addition, the cold-start problem was solved by using a hybrid collaborative filtering recommendation method that additionally utilizes user and item profiles. As a result of the performance evaluation, it was found that the performance of the OCF-GAN with additional information was superior in all indicators of the Top 5 and Top 20 recommendations compared to the existing GAN-based recommender. This phenomenon was more clearly revealed in experiments with cold-start users and items.

The Effects of Problem-Based Learning on Problem Solving Ability and Collaborative Self-efficacy of Dental Hygiene Major Students (문제중심학습(PBL)이 치위생학 전공 학생들의 문제해결능력과 협력적 자기효능감에 미치는 효과)

  • Young-Soo Lee;Hyeon-Ae Sim
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.1
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    • pp.71-78
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    • 2023
  • Purpose : This study was purposed to analyze the effectiveness of PBL (Problem-Based Learning) classes and to derive class improvement plans. Methods : The subjects of the study were 48 students who took the 4th grade clinical dental hygiene course at S University located in Chungcheongnam-do of South Korea in 2021. A single-group pre and post experimental study was designed to verify whether there were significant changes in the research variables of students who participated in the class to which problem-based learning was applied. A paired-sample t-test was conducted for the collected data of 46 respondents. Results : As a result, the degree of improvement in problem clarification, cause analysis, and alternative development among the five sub-areas of problem-solving ability was statistically significant. This means that the problem-based learning class positively affects dental hygiene major students' ability to clarify problems, the ability to analyze causes to collect and analyze information, and the ability to develop alternatives to make decisions, thereby improving overall problem-solving abilities. However, the improved post-score was not statistically significant in the planning/execution and performance evaluation of the remaining two subdomains. In addition, post-scores of the leader aspect, opinion exchange, opinion evaluation, and opinion integration, which are sub-domains of collaborative self-efficacy, all showed great statistical significance. Problem-based learning improved the collaborative efficacy of dental hygiene major students overall by positively influencing the ability to lead a team, exchange and evaluate each other's views, and constructively integrate different views. Conclusion : It was found that both the subject's problem-solving ability and cooperation efficiency improved under the influence of problem-based learning. On the other hand, implications for improvement of the future class such as the necessity of supplementing strategies to promote planning and execution ability for problem solving, and ability to evaluate problem solving performance was suggested.

An Analysis of the Current Status of Collaborative Classes in Media and Information Literacy (MIL): Focusing on FGI (미디어 정보 리터러시(MIL) 협력수업 실태 분석 - FGI를 중심으로 -)

  • Juhyeon Park;Jeonghoon Lim;YoungSun Paek;Seohyun Kim
    • Journal of Korean Library and Information Science Society
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    • v.55 no.3
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    • pp.263-283
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    • 2024
  • The purpose of this study is to understand the field experience of collaboration classes for Media and Information Literacy (MIL) and to obtain implications for MIL collaboration classes. To this end, focus group interviews (FGI) were conducted with 11 teachers and 9 students from 5 elementary and secondary schools. The research results are as follows. First, collaboration classes were not commonly operated in educational settings. Second, teachers and students who experienced collaboration classes were found to increase students' class participation. Fourth, despite their satisfaction with collaboration classes, teachers reported that the number of class hours increased or they felt burdened by class preparation. Since the achievement and satisfaction of teachers and students in MIL collaborative classes were high, it is necessary to develop a MIL collaborative class model and guidelines to expand MIL collaborative classes.

Fostering Students' Statistical Thinking through Data Modelling

  • Ken W. Li
    • Research in Mathematical Education
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    • v.26 no.3
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    • pp.127-146
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    • 2023
  • Statistical thinking has a broad definition but focuses on the context of regression modelling in the present study. To foster students' statistical thinking within the context, teaching should no longer be seen as transfer of knowledge from teacher to students but as a process of engaging with learning activities in which they develop ownership of knowledge. This study aims at collaborative learning contexts; students were divided into small groups in order to increase opportunities for peer collaboration. Each group of students was asked to do a regression project after class. Through doing the project, they learnt to organize and connect previously accrued piecemeal statistical knowledge in an integrated manner. They could also clarify misunderstandings and solve problems through verbal exchanges among themselves. They gave a clear and lucid account of the model they had built and showed collaborative interactions when presenting their projects in front of class. A survey was conducted to solicit their feedback on how peer collaboration would facilitate learning of statistics. Almost all students found their interaction with their peers productive; they focused on the development of statistical thinking with concerted effort.