• Title/Summary/Keyword: Learning Elements

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The Effects of Artificial Intelligence Convergence Education using Machine Learning Platform on STEAM Literacy and Learning Flow

  • Min, Seol-Ah;Jeon, In-Seong;Song, Ki-Sang
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.10
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    • pp.199-208
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    • 2021
  • In this paper, the effect of artificial intelligence convergence education program that provides STEAM education using machine learning platform on elementary school students' STEAM literacy and learning flow was analyzed. A homogeneous group of 44 elementary school 6th graders was divided into an experimental group and a control group. The control group received 10 lessons of general subject convergence class, and the experimental group received 10 lessons of STEAM-based artificial intelligence convergence education using Machine learning for Kids. To develop the artificial intelligence convergence education program, the goals, achievement standards, and content elements of the 2015 revised curriculum to select subjects and class contents is analyzed. As a result of the STEAM literacy test and the learning flow test, there was a significant difference between the experimental group and the control group. In particular, it can be confirmed that the coding environment in which the artificial intelligence function is expanded has a positive effect on learners' learning flow and STEAM literacy. Among the sub-elements of convergence talent literacy, significant differences were found in the areas of personal competence such as convergence and creativity. Among the sub-elements of learning flow, significant differences were found in the areas such as harmony of challenge and ability, clear goals, focus on tasks, and self-purposed experiences. If further expanded research is conducted in the future, it will be a basic research for more effective education for the future.

Modeling Element Relations as Structured Graphs Via Neural Structured Learning to Improve BIM Element Classification (Neural Structured Learning 기반 그래프 합성을 활용한 BIM 부재 자동분류 모델 성능 향상 방안에 관한 연구)

  • Yu, Youngsu;Lee, Koeun;Koo, Bonsang;Lee, Kwanhoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.3
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    • pp.277-288
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    • 2021
  • Building information modeling (BIM) element to industry foundation classes (IFC) entity mappings need to be checked to ensure the semantic integrity of BIM models. Existing studies have demonstrated that machine learning algorithms trained on geometric features are able to classify BIM elements, thereby enabling the checking of these mappings. However, reliance on geometry is limited, especially for elements with similar geometric features. This study investigated the employment of relational data between elements, with the assumption that such additions provide higher classification performance. Neural structured learning, a novel approach for combining structured graph data as features to machine learning input, was used to realize the experiment. Results demonstrated that a significant improvement was attained when trained and tested on eight BIM element types with their relational semantics explicitly represented.

Machine Learning-based Data Analysis for Designing High-strength Nb-based Superalloys (고강도 Nb기 초내열 합금 설계를 위한 기계학습 기반 데이터 분석)

  • Eunho Ma;Suwon Park;Hyunjoo Choi;Byoungchul Hwang;Jongmin Byun
    • Journal of Powder Materials
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    • v.30 no.3
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    • pp.217-222
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    • 2023
  • Machine learning-based data analysis approaches have been employed to overcome the limitations in accurately analyzing data and to predict the results of the design of Nb-based superalloys. In this study, a database containing the composition of the alloying elements and their room-temperature tensile strengths was prepared based on a previous study. After computing the correlation between the tensile strength at room temperature and the composition, a material science analysis was conducted on the elements with high correlation coefficients. These alloying elements were found to have a significant effect on the variation in the tensile strength of Nb-based alloys at room temperature. Through this process, a model was derived to predict the properties using four machine learning algorithms. The Bayesian ridge regression algorithm proved to be the optimal model when Y, Sc, W, Cr, Mo, Sn, and Ti were used as input features. This study demonstrates the successful application of machine learning techniques to effectively analyze data and predict outcomes, thereby providing valuable insights into the design of Nb-based superalloys.

An Exploration of Learning Environmental Factors Affecting Student Cognitive Engagement: Implications for Instructional Design Research

  • LEE, Sunghye
    • Educational Technology International
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    • v.15 no.2
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    • pp.143-170
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    • 2014
  • As it was argued that students' cognitive engagement can be, at least in part, modified by individual or learning environmental factors, prior studies have attempted to identify the factors explaining the variability of students' cognitive engagement. This literature review has shown that students' cognitive engagement can be altered by various elements in the learning environment design such as factors related students' perceptions of teaching quality, characteristics of tasks and learning activities, teachers' behaviors during instruction, classroom goal structures, the integration of student oriented learning, action learning, problem-based learning, and constructivist learning, and academic disciplines. Based on the review, this study suggests that more studies are required to focus on understandings how the integration of instructional design principles into courses and the levels of student cognitive engagement in these courses are related. Also, an investigation of direct and indirect effect of learning environments taking into account students' personal factors would provide a more accurate picture of the relationship between learning environmental factors and students' cognitive engagement.

Analysis of Visual Art Elements of Game Characters Illustrated by the Case of Glory of Kings

  • He, Yangyang;Choi, Chulyoung
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.213-219
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    • 2020
  • Visual art elements can most intuitively express the information expressed by a game character and play an important role in shaping a successful game character. We compares and analyzes the role design in the skins of the "Five Tiger-like Generals" series in Glory of Kings in terms of color, line, graphic and other visual elements. Different visual elements form different visual impacts and influences, which brings people different psychological feelings and presents different emotional colors. The reasonable use of visual elements gives people a refined visual experience and a comfortable psychological feeling, adding more influencing factors to the "immersion" of the game. It not only can strongly attract the attention and love of players, but also spreads traditional culture of the nation and the country. Therefore, whether the visual art elements of a game character can be appropriately used is an important part of the success of the game work. The analysis of visual art elements of game characters has important learning and research value.

A Study on the Effect of Cooperative Learning Blended with the TAI and STAD Models on the Students' Ability of Problem Solving in Mathematics (TAI 모델과 STAD 모델을 혼합한 협동학습이 수학과의 문제 해결 능력에 미치는 효과)

  • Kim, Hee-Jeong;Kim, Yung-Hwan
    • Journal of the Korean School Mathematics Society
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    • v.9 no.1
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    • pp.1-17
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    • 2006
  • This thesis analyzed the effects of cooperative learning blended with TAI(Team Assisted Individualization) and STAD(Student Team Achievement Division) models on the students' ability of problem solving in mathematics in order to discover what kind of effects would give to their ability of that, and would promote their disposition and attitude to learn mathematics. The results of this study were as follows : First, the learning method blended with TAI and STAD models was more effective in the students' ability of problem solving in mathematics than traditional learning method because of the blended model's characteristics; positive interdependence, individual accountability, team recognition, curriculum materials. Second, the learning method blended with TAI and STAD models was more effective in sub-elements - self-confidence, adaptability, will, curiosity and value - of mathematical disposition than traditional learning method. And the learning method blended with TAI and STAD models was more effective in sub-elements - self-consciousness of mathematics and interests - of mathematical attitude than traditional learning method. In conclusion, the learning method blended with TAI and STAD models could affect to not only the students' ability of problem solving in mathematics but also the students' several affective factors.

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A Study on the Exploration of English Learning Design Elements Applying Immersive Virtual Reality (몰입형 가상현실을 적용한 영어학습 설계요소 탐색에 관한 연구)

  • Choi, Dong-Yeon
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.209-217
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    • 2022
  • Virtual reality entered a new phase with the introduction of wearable devices represented by Oculus. This study proposes an immersive virtual reality based on Oculus Rift that enables direct immersion in virtual reality from a first-person perspective for English learning. At this point, it is meaningful to provide considerations when designing instruction for language learning through a comprehensive and integrated review of immersive virtual reality. Therefore, the main purpose of this study is to find a way to maximize the application of language education in the immersive virtual world. And for the design elements for English learning through immersive virtual reality, the setting of learning theory, consideration of differences in learning, selection of learning tasks, regulation of teachers' influence, determination of types of applied senses, flexibility of design, and usage environment were suggested. By integrating the results, various discussions and directions for instructional design were presented.

Practical Study on Learning Effects of University e-Learning (대학 e-러닝 학습효과에 관한 실증연구)

  • Kim, Joon-Ho
    • Information Systems Review
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    • v.12 no.3
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    • pp.19-48
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    • 2010
  • This study focused on characterizing various factors in order for learners to maintain their interests in learning and to maximize learning effects as the top priority purpose of university e-Learning, on the basis of results of conceptual studies on existing e-Learning and practical studies, and then on examining them practically. It also analyzed which factors would have greater influence on learning effects of e-Learning in general. Moreover, in comparison with existing numerous studies which examined only factor such as learning effects of e-Learning, it analyzed such things in detail according to division into three items such as learning satisfaction, learning transfer and learning recommendation. To achieve such purposes of the study, it characterized and set 3 factors such as learning contents, instructional design and user convenience on the assumption that such factors have a significant influence on learning effects of e-Learning. Moreover, the factor of learning contents includes 3 detailed elements, i.e., learning issue and objective, knowledge information, and consistency and propriety, and the factor of instructional design includes 4 detailed elements, i.e., interest and sympathy, interaction, contents presentation and explanatory strategy. Lastly, the factor of user convenience includes 2 detailed elements such as screen configuration, and check-up of contents and teaching schedule. According to analytical results, it showed all 3 factors such as learning contents, instructional design and user convenience have a significant influence on learning effects of e-Learning(i.e., learning satisfaction, learning transfer and learning recommendation). In more detail, it showed the learning issue and objective from the factor of learning contents have the greatest influence on learning satisfaction of e-Learning. Then, it is the most important to set the learning issue and objective with given priority to learners and set the learning objective estimable, in order to raise the learning satisfaction. It showed the contents presentation from the factor of instructional design on the learning transfer. Therefore, it is the most important to structuralize mutual relation and presentation orders to promote learning systematically and to let learners access to such things, for the purpose of raising the learning transfer. Moreover, it showed the interest and sympathy from the factor of instructional design has the greatest influence on the learning recommendation. Thus, it is the most important to promote learners' interests to the maximum using well-timed media, and to give a lecture enough to arouse learners' sympathy.

Effects of Self-Directed Learning Readiness on Academic Performance and Perceived Usefulness for Each Element of Flipped Learning

  • KIM, Minjeong;CHOI, Dongyeon
    • Educational Technology International
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    • v.19 no.1
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    • pp.123-151
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    • 2018
  • This study aims to examine the effects of self-directed learning readiness (SDLR) on academic performance and the perceived usefulness for each elements of flipped learning. Based on their SDLR scores, 69 students were assigned to a high SDLR group and a low SDLR group. Academic performance was measured by the completion rate of a pre-class online learning and the final exam score, and perceived usefulness for each element of flipped learning was measured by a survey designed by the researcher. For academic performance, the high SDLR group showed a significantly higher completion rate than the low SDLR group, but no significant difference was observed in their final exam scores. Students in the high SDLR group perceived in-class student-centered activities as more useful than those in the low SDLR group. Additional qualitative analyses indicated that students needed more support from instructors and well-prepared peers. Finally, this study suggested that more examination on the various learning characteristics that may influence the effectiveness of flipped learning should be done.

A group counsel ing program to improve the learning habits of elementary school children with learning difficulties (초등학생의 학습습관 향상을 위한 집단상담 프로그램 개발과 효과)

  • Kim, Ji-Ha
    • The Korean Journal of Elementary Counseling
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    • v.5 no.1
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    • pp.119-137
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    • 2006
  • The purpose of this study is to develop a group counseling program to improve the learning habits of the elementary school children who experience difficulties learning, because of their wrong learning habits. To achieve it, the sub-elements of learning habits are set by "learning motive & attitude" and "learning technique" A group counseling program composed of the essential factors suitable for each element are srhseqrently, devised to pursue the improvement of learning habits. The study propositions are set as follows: Can the group counseling program improve the learning habits of elementary school children? 1. Can the group counseling program improve the learning motive and attitude of elementary school children? 2. Can the group counseling program improve the learning technique of elementary school children? The subject of this study is the 4th graders of W elementary school located in Gwangju Metropolitan City. After selecting 12 pupils from low scorers after a learning habits test, Each 6 of those are randomly assigned to an experimental group and a control group, respectively. In this way, they are pcrticipate in the group counseling program. The group counseling program is consisted of 10 sessions. The program is implemented for six weeks with a 50 min duration per session. As a measuring tool, a restructured test with only motive variables and technique variables, excluding remaining variables, from the Learning Habits Test by Choi Jong-Ryul (1992) is used for pre and post tests. The results of the study is acquired by integrating the statistics from the test tool. Observation of the counselor and testees' thoughts are as follows: The group counseling program affects the sub-elements of learning habits positively, namely learning motive & attitude and learning technique. The program applied in this study is effective in improving the learning habits of the pupils with lower learning habits. Accordingly, this program can be one of the methods to develop effective learning habits, set efficient strategies and exert abilities maximally for the learners, who did not adequately exert their abilities, due to wrong learning habits, while ineffectively learning without knowing effective learning habits. To improve and maintain the learning habits of the elementary school pupils, overall understanding should be backed in order to precisely analyze and identify the learning habits of the pupils. Besides, an association between schools and homes is also needed along with parents' concerns over their children's learning habits at home.

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