• Title/Summary/Keyword: Collaborative Problem Solving

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A Study on the Socio-Psychological Factors in Forming Information Problem-solving Abilities (정보문제 해결능력 형성의 사회심리적 요인에 관한 연구)

  • Bae, Kyung-Jae
    • Journal of the Korean Society for Library and Information Science
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    • v.43 no.4
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    • pp.83-99
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    • 2009
  • The holistic approach to the variables that influence people's information problem-solving abilities is relatively scant compared to the importance of the issue. The purpose of this study is to analyze the socio-psychological factors that have an influence on the information problem-solving abilities of youths, and finally to analyze how these factors influence the information problem-solving abilities of youths. In order to identify the critical socio-psychological factors, related literature was reviewed and the model framework for this research was constructed based on the resulting factors and socio-psychological theories.

Data BILuring Method for Solving Sparseness Problem in Collaborative Filtering (협동적 여과에서의 희소성 문제 해결을 위한 데이타 블러링 기법)

  • Kim, Hyung-Il;Kim, Jun-Tae
    • Journal of KIISE:Software and Applications
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    • v.32 no.6
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    • pp.542-553
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    • 2005
  • Recommendation systems analyze user preferences and recommend items to a user by predicting the user's preference for those items. Among various kinds of recommendation methods, collaborative filtering(CF) has been widely used and successfully applied to practical applications. However, collaborative filtering has two inherent problems: data sparseness and the cold-start problems. If there are few known preferences for a user, it is difficult to find many similar users, and therefore the performance of recommendation is degraded. This problem is more serious when a new user is first using the system. In this paper we propose a method of integrating additional feature information of users and items into CF to overcome the difficulties caused by sparseness and improve the accuracy of recommendation. In our method, we first fill in unknown preference values by using the probability distribution of feature values, then generate the top-N recommendations by applying collaborative filtering on the modified data. We call this method of filling unknown preference values as data blurring. Several experimental results that show the effectiveness of the proposed method are also presented.

Exploring on Learning Process of Higher-Level Performers during Peer Tutoring in Mathematics (동료를 지도하는 수학 학습 능력 우수 학생의 학습 과정 탐색)

  • Lee, Hwan-Chul;Huh, Nan;Kang, Ok-Ki
    • School Mathematics
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    • v.12 no.2
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    • pp.177-191
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    • 2010
  • Small Group Collaborative Instruction in school settings has been endorsed by many educational experts over the years. Some studies found that learners greatly benefit from one another through communication and interaction with their peers. These studies previously indicated improvement of a learner‘s academic ability as well as the application of the affective domain when using this type of instruction. Lower-level students with limited mathematical abilities improved their problem-solving and conceptual thinking skills when tasked to work with other learners. On the other hand, the effectiveness of this process was questioned to be less evident with higher-level performers. Therefore, this study was designed to observe the efficacy of Small Group Collaborative Instruction on higher-level students and to explore their learning process as they interact with and teach lower-level students. This study observed that higher-level students use high-level mathematical thinking skills when helping lower-level students, and they improved problem-solving ability as well as communication skills.

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Aspects of Meta-affect in Problem-Solving Process of Mathematically Gifted Children (수학 영재아의 문제해결 과정에 나타나는 메타정의의 특성)

  • Do, Joowon;Paik, Suckyoon
    • Journal of Elementary Mathematics Education in Korea
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    • v.23 no.1
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    • pp.59-74
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    • 2019
  • According to previous studies, it shows that the metacognitive ability that makes the positive element of the problem solver positively affects the problem-solving process of mathematics. In order to accurately grasp causality, this study investigates the specific characteristics of the meta-affect factor in the process of problem-solving. To do this, we analyzed the types and frequency of data collected from collaborative problem-solving situations composed of 4th~6th grade mathematically gifted children in small group of two. As a result, it can be seen that the type of meta-affect in the problem-solving process of mathematically gifted children is related to the correctness rate of the problem. First, regardless of the success or failure of the problem-solving, the meta-affect appeared relatively frequently in the meta-affect types in which the cognitive factors related to the context of problem-solving appeared first, and acted as the meta-functional type of the evaluation and attitude. Especially, in the case of successful problem-solving of mathematically gifted children, meta-affect showed a very active function as meta-functional type of evaluation.

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Examining ways to support engineering students for choosing a project topic in interdisciplinary collaboration (공대 학생들의 프로젝트 주제 선정을 위한 초기 교수학습 지원 방안 탐구)

  • Byun, Moon-Kyoung;Cho, Moon-Heum
    • Journal of Engineering Education Research
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    • v.19 no.1
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    • pp.37-46
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    • 2016
  • The purposes of the study were to examine engineering students' concerns and problems while they were choosing a project topic in interdisciplinary collaboration and to suggest ways to support them in an early stage of collaboration phase. To answer the research questions, we conducted a case study with engineering participants in GCTI 2015, an interdisciplinary collaborative and creative group project. Multiple data sources including focus group interviews, online survey and researchers' observation notes were used to triangulate research findings. We found four main concerns of engineering students. These concerns include (1) lack of self-efficacy, (2) limited resources, (3) lack of shared, meaningful, and common goals, and (4) lack of content knowledge. Based on these concerns we proposed four supports in an early stage of the collaborative project. These supports includes (1) implementing an orientation program, (2) providing opportunities for social interactions, (3) providing expert feedback, and (4) providing consultation for team building.

Sustainable Industry-Academia-Government Collaborative Education Focusing on Advantages of Industry: Long-term Internship after 5years Practice

  • Morimoto, Emi;Yamanaka, Hideo
    • Journal of Engineering Education Research
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    • v.15 no.5
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    • pp.47-53
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    • 2012
  • Practical problem-solving studies in a company or organization have provided great advantages for our university and students. For example, such studies can lead them to build a stronger relationship with local governments and companies as well as develop their research through collaborative studies. On the other hand, comments from companies or organizations that accepted our students showed that they did not always have advantages. This study seeks ways to establish a sustainable long-term internship program that can offer advantages for companies. Advantages and disadvantages of the internship are written by the company on the evaluated sheet. These feedback comments are analyzed by text-mining approach. It is shown that there are three types of company and organizations depending on their reasons for accepting students. Next, suitable internship programs for each type, including their period and expense distribution are presented.

The Sociodynamical Function of Meta-affect in Mathematical Problem-Solving Procedure (수학 문제해결 과정에 작용하는 메타정의의 사회역학적 기능)

  • Do, Joowon;Paik, Suckyoon
    • Education of Primary School Mathematics
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    • v.20 no.1
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    • pp.85-99
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    • 2017
  • In order to improve mathematical problem-solving ability, there has been a need for research on practical application of meta-affect which is found to play an important role in problem-solving procedure. In this study, we analyzed the characteristics of the sociodynamical aspects of the meta-affective factor of the successful problem-solving procedure of small groups in the context of collaboration, which is known that it overcomes difficulties in research methods for meta-affect and activates positive meta-affect, and works effectively in actual problem-solving activities. For this purpose, meta-functional type of meta-affect and transact elements of collaboration were identified as the criterion for analysis. This study grasps the characteristics about sociodynamical function of meta-affect that results in successful problem solving by observing and analyzing the case of the transact structure associated with the meta-functional type of meta-affect appearing in actual episode unit of the collaborative mathematical problem-solving activity of elementary school students. The results of this study suggest that it provides practical implications for the implementation of teaching and learning methods of successful mathematical problem solving in the aspect of affective-sociodynamics.

Development and Application of a Collaborative-Reflection Instructional Model by using Meta-Cognition in Computer Skill Education (컴퓨터 기능 교육에서 초인지를 이용한 협력적 성찰 수업모형의 개발 및 적용)

  • Kim, Kap-Su;Lee, Mi-Sook
    • Journal of The Korean Association of Information Education
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    • v.9 no.2
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    • pp.339-348
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    • 2005
  • The trend of the computer education is shifting from problem-solving in the real world and using functions for it to behavioristic perspectives which encourage people to acquire the functions simply according to the applying programs of well-known companies. Thus, this research studies the computer instructional model which emphasizes the basic computer education and connections to the real world at the same time. In the constructivistic perspectives, this model emphasizes the learners activities, their using of meta-cognitive strategies to reflect their level of the lesson and collaborative-reflective learning of problem-solving. The research applied in the real computer skill education and according to the result of the research, I could find the experimental group got high level of learning achievement and this benefits to the high level group rather than low and middle group.

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The Recommendation System for Programming Language Learning Support (프로그래밍 언어 학습지원 추천시스템)

  • Kim, Kyung-Ah;Moon, Nam-Mee
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.4
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    • pp.11-17
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    • 2010
  • In this paper, we propose a recommendation system for supporting self-directed programming language education. The system is a recommendation system using collaborative filtering based on learners' level and stage. In this study, we design a recommendation system which uses collaborative filtering based on learners' profile of their level and correlation profile between learning topics in order to increase self-directed learning effects when students plan their learning process in e-learning environment. This system provides a way for solving a difficult problem, that is providing programming problems based on problem solving ability, in the programming language education system. As a result, it will contribute to improve the quality of education by providing appropriate programming problems in learner"s level and e-learning environment based on teaching and learning method to encourage self-directed learning.

Identification and Analysis of Author's Institution in Korean Journal Papers for the Decision Support in Disaster Situations

  • Kim, Byungkyu;You, Beom-Jong;Shim, Hyoung-Seop
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.12
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    • pp.85-97
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    • 2021
  • In this paper, in order to support rapid and effective decision-making and response in disaster situations, we identified the author's organization of academic research papers and conducted a collaborative relationship analysis study based on this. For this purpose, 2,308 papers in 69 Korean academic journals classified by disaster and safety type were selected for analysis and experimental data were constructed based on the Korea Science Citation Database (KSCD) and institutional identification data provided by KISTI. Collaborative relationship analysis was conducted for each of the four units (Institution, Institution type, Institution region and University department type). First, statistical status such as frequency of appearance was compared, and basic properties and main centrality index of each co-occurrence network were calculated and analyzed using Social Network Analysis Method. In addition, a visualization map was created and presented for each network so that the collaborative relationship could be viewed and understood as a whole. The results of this study are expected to contribute to the search activities of institutions and cooperative groups that support effective disaster response and to lay the foundation for the information service system.