• Title/Summary/Keyword: structured learning

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Re-engineering Adult Education Programme-an Online Learning Curricular Perspective

  • Mathai, K.J.;Karaulia, D.S.
    • Journal of Korea Multimedia Society
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    • v.6 no.4
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    • pp.685-697
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    • 2003
  • The Web based multimedia programmes/courses are becoming widely available in recent years. Most of these courses focus on Behaviorist way of learning, which does not promote deep learning in any way. For Adults this approach further incapacitated, as it does not satisfy Andragogical needs. The search for Constructivist way of learning through the web applied to Indian conditions led to need for developing a curriculum development approach that would promote construction of knowledge through web based collaboration. This paper attempts to reengineer existing curriculum development processes and lays out a framework of‘Problem Based Online Learning (PBOL)’curriculum design. In this context, entire curriculum development life cycle is evolved and explained. This is a part of doctoral work (Ph.D), which is in progress and being undertaken by K.James Mathai, and guided of Dr.D.S.Karaulia.

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Hierarchical Associative Frame with Learning and Episode memory for the intelligent Knowledge Retrieval

  • Shim, Jeon-Yon
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.694-698
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    • 2004
  • In this paper, as one of these efforts for making the intelligent data mining system we propose the Associative frame of the memory according to the following three steps. First,the structured frame for performing the main brain function should be made. In this frame, the concepts of learning memory and episode memory are considered. Second,the learning mechanism for data acquisition and storing mechanism in the memory frame are provided. The obtained data are arranged and stored in the memory following the rules of the structured memory frame. Third, it is the last step of processing the inference and knowledge retrieval function using the stored knowledge in the associative memory frame. This system is applied to the area for estimating the purchasing degree from the type of customer's tastes, the pattern of commodities and the evaluation of a company.

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Impact of Direct Structured Instruction for Students with Learning Disabilities on Engineering Physics Concepts (공대 물리학 교육에서 학습장애자에 대한 직접교수법의 효과)

  • Hwang, Un-Hak
    • Journal of Practical Engineering Education
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    • v.14 no.1
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    • pp.19-25
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    • 2022
  • This study examined the impact of direct structured approach of students who demonstrate little or no sense of basic engineer concepts in physics courses. This direct structured instruction is one of the methodologies that focuses on explicit and systematic practices in which an instructor set clear learning outcomes and clarifies the direction of the instruction. 90 participants were randomly selected and tested on the areas of problem-solving skills, reasoning, working memory, and processing speed. 20% of the participants were found to be students with basic engineering disabilities. On the other hand, in the direct structured group, 51.7% and 58.0% of the sample group (90 students) showed a 6.3% increase from the mid-term to final examinations, respectively. The subgroups with 50% or lower grades were decreased from 26.7% to 24.5%. However, five students with the lowest grade of 20% were selected as students with learning disabilities in the study and the average scores of mid-term and final exams were increased by 8.6%, which was 17.9% and 26.5%, respectively at the end of the study. As a result, it showed that direct structured approach for students with learning disabilities in the engineer concepts was effective.

Development and Application of Teaching-Learning Strategy for PBL-based Programming Education Using Reflection Journal in Elementary School (성찰일지를 활용한 PBL 기반 초등학교 프로그래밍 교육 교수·학습 전략 개발 및 적용)

  • Seo, Jeonghyun;Kim, Yungsik
    • Journal of The Korean Association of Information Education
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    • v.20 no.5
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    • pp.465-474
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    • 2016
  • The present study is aimed to find the effect of the activity of writing a structured reflection journal in the learning process of PBL-based programming on the logical thinking of elementary school students. To achieve the objective, this study carried out an experiment with 59 elementary school students in the 5th grade. They were divided into an experimental group and a control group. The experimental group was applied with PBL-based programming classes by learning step, including learning of the contents, its procedure, and the activities of writing a critical reflection journal while the control group received learning of PBL-based programming including unstructured reflection journal. And then the difference in their logical thinking was compared and analyzed before and after th experiment. The results demonstrated that the experimental group showed a significant difference in logical thinking before and after writing structured reflection journal (ANCOVA) at the significance level of .05, which evidenced writing a structured reflection journal has learning effect. Intergroup comparison of logical thinking also showed that there was learning effect. Those findings suggest that writing a structured reflection journal in the PBL-based programming learning for 5th grade elementary school students has a positive effect on the learners' logical thinking.

Prediction of Agricultural Purchases Using Structured and Unstructured Data: Focusing on Paprika (정형 및 비정형 데이터를 이용한 농산물 구매량 예측: 파프리카를 중심으로)

  • Somakhamixay Oui;Kyung-Hee Lee;HyungChul Rah;Eun-Seon Choi;Wan-Sup Cho
    • The Journal of Bigdata
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    • v.6 no.2
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    • pp.169-179
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    • 2021
  • Consumers' food consumption behavior is likely to be affected not only by structured data such as consumer panel data but also by unstructured data such as mass media and social media. In this study, a deep learning-based consumption prediction model is generated and verified for the fusion data set linking structured data and unstructured data related to food consumption. The results of the study showed that model accuracy was improved when combining structured data and unstructured data. In addition, unstructured data were found to improve model predictability. As a result of using the SHAP technique to identify the importance of variables, it was found that variables related to blog and video data were on the top list and had a positive correlation with the amount of paprika purchased. In addition, according to the experimental results, it was confirmed that the machine learning model showed higher accuracy than the deep learning model and could be an efficient alternative to the existing time series analysis modeling.

Case study of VR experience studying for smart education support (스마트 교육 지원을 위한 VR 체험학습 사례 연구)

  • Kim, Moon Seok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.2
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    • pp.131-141
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    • 2014
  • UX design e-learning systems in order to establish the reasonable structured modules that are based on interdisciplinary research. E-learning by focusing on technology-related education, information technology and psychology, business administration, etc. has been studied in the field. However, an important part of smart education, one of the students in the field of self-directed research is lacking UX design. UX Design the User Interface and Visual Identity is central to the success of the content of the important research areas in modern smart society. This case study is for smart education digital textbooks considered the characteristics of the study. Presented by the Ministry of Education on the basis of the standard of digital textbook content of the e-learning features, including multi-disciplinary analysis of UX design requires a structured model is proposed. Research data on the smart education and virtual education in UX design being used as the basis for studies forward.

Development of a Structured Debriefing for Business Simulation Games and Its Effect on College Students' Business Knowledge and Entrepreneurship Competencies

  • Jieun LEE;Yugyeong KIM;Hyunwoo HWANG
    • Educational Technology International
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    • v.25 no.1
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    • pp.93-127
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    • 2024
  • This study evaluates the effect of structured debriefing for a business simulation game for university students. The program provides an authentic learning experience of real-world business management by allowing learners to make decisions related to R&D, marketing, production, and finance through a business simulation game, and check the results in real time. In 2022, University A and B each ran a business simulation game-based program as an extra-curricular activity. University A conducted a traditional instructor-led debriefing where the instructor explained the summarized process and results, while University B implemented a structured debriefing which had been developed based on Gibbs' and 3D models. To assess the effect of the structured debriefing compared to the traditional instructor-led debriefing, business knowledge and entrepreneurship competencies were measured three times. Repeated measures ANOVA was used to test for the differences between the two groups and to examine interaction effects between group and time. The structured debriefing group achieved statistically significantly higher academic scores than the traditional instructor-led debriefing group at the post-test and in 2 weeks. There was no statistically significant difference between the groups in terms of entrepreneurship competencies. There was no interaction effect between group and time, both in academic achievement and in entrepreneurship competencies. In conclusion, the simulation game-based program integrated with the structured debriefing session is more likely to have a stronger impact on academic achievement and its retention.

Effect of Cognitive Style on Collaborative Problem Solving Ability in Programming Learning

  • Kwon, Boseob
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.9
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    • pp.163-169
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    • 2018
  • Problem solving by programming has a lot of influence on computational thinking improvement. Programming learning has been self-directed based on the individual's thoughts and principles. However, the revised informatics curriculum in 2015 puts importance on collaborative learning. Collaborative learning emphasizes results differently from cooperative learning, which emphasizes problem-solving processes. And cooperative learning leads to structured learning, such as role sharing and activity stages, within a small group, while collaborative learning leads to unstructured learning. Therefore, it is becoming more in collaborative learning that peer interaction can be affected by learners' cognitive style. In this paper, we propose the effect of cognitive style on problem solving ability in collaborative learning for problem solving by programming. As a result, collaborative learning was effective in improving problem solving ability and there was no significant difference in cognitive style.

Security tendency analysis techniques through machine learning algorithms applications in big data environments (빅데이터 환경에서 기계학습 알고리즘 응용을 통한 보안 성향 분석 기법)

  • Choi, Do-Hyeon;Park, Jung-Oh
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.269-276
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    • 2015
  • Recently, with the activation of the industry related to the big data, the global security companies have expanded their scopes from structured to unstructured data for the intelligent security threat monitoring and prevention, and they show the trend to utilize the technique of user's tendency analysis for security prevention. This is because the information scope that can be deducted from the existing structured data(Quantify existing available data) analysis is limited. This study is to utilize the analysis of security tendency(Items classified purpose distinction, positive, negative judgment, key analysis of keyword relevance) applying the machine learning algorithm($Na{\ddot{i}}ve$ Bayes, Decision Tree, K-nearest neighbor, Apriori) in the big data environment. Upon the capability analysis, it was confirmed that the security items and specific indexes for the decision of security tendency could be extracted from structured and unstructured data.

The Study of an Analysis on Early Childhood Teachers' Awareness about R-learning (R-learning 수업에 대한 유치원 교사들의 인식 분석 연구)

  • Han, Soo-Jeong
    • The Journal of Korea Robotics Society
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    • v.7 no.2
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    • pp.129-141
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    • 2012
  • The purpose of this study was to analyze Early Childhood Teachers' awareness of R-Learning. The Subjects were 6 Early Childhood Teachers who experienced to use Robot in their teaching and learning. The data was analyzed through semi-structured in-depth interview and teachers' journals. The results showed possibilities and limitations of R-learning. As possibilities of R-learning, it was found that robot is am attractive teaching materials. In addition, it was found that robot might be an assistant teacher. Third, robot helps children improving their social development. Fourth, teachers might get confident while using robots in their teaching and learning. However, there were limitations of R-learning. First, teachers need to understand what R-learning means. Second, there are some functional problems of R-learning. Third, there are lack of qualitative contents of R-learning. Finally, robots need to be general to every children.