• Title/Summary/Keyword: Blended Model

Search Result 183, Processing Time 0.022 seconds

A Research on a Model of BL-PBL Self -Directed Mathematics Lectures at College (기반수학강좌의 자기주도형 Blended Learning-PBL 수업 모델 연구)

  • Lee Sang-Gu;Seol Han-Guk;Han Shin Il
    • Communications of Mathematical Education
    • /
    • v.19 no.4 s.24
    • /
    • pp.769-785
    • /
    • 2005
  • The affirmative feature which web based learning and problem based learning in the self directed learning having on-line and off-line study it amalgamates in connection Blended Learning method and specially in mathematics subject as a service course. We introduce a model of BL lecture of Mathematics and tried to find a new way for the quality improvement of university education.

  • PDF

Prediction of chloride binding isotherms for blended cements

  • Ye, Hailong;Jin, Xianyu;Chen, Wei;Fu, Chuanqing;Jin, Nanguo
    • Computers and Concrete
    • /
    • v.17 no.5
    • /
    • pp.655-672
    • /
    • 2016
  • A predictive model for chloride binding isotherms of blended cements with various supplementary cementitious materials (SCMs) was established in this work. Totally 560 data points regarding the chloride binding isotherms of 106 various cements were collected from literature. The total amount of bound chloride for each mixture was expressed a combinational function of the predicted phase assemblage and binding isotherms of various hydrated phases. New quantitative expressions regarding the chloride binding isotherms of calcium-silicate-hydrate (C-S-H), AFm, and hydrotalcite phases were provided. New insights about the roles of SCMs on binding capabilities of ordinary portland cements (OPC) were discussed. The proposed model was verified using separate data from different sources and was shown to be reasonably accurate.

A Study on the Development of Learning Model for Improving Collaborative Creativity Based on CPS

  • PARK, Eunsook
    • Educational Technology International
    • /
    • v.7 no.2
    • /
    • pp.23-44
    • /
    • 2006
  • As the educational paradigm has shifted from the traditional knowledge oriented instruction learning to the knowledge product oriented instructional learning, the development of student's creativity becomes one of the most important educational goals, because the ability that can produce the knowledge creatively is required in the digital information knowledge based society. The purpose of this study is to make a basic direction and strategy for the instructional design to develop an on and off line blended instructional design which will help a learning community to be a more collaborative and creative learning community. This research has investigated the concept and the characteristics of collaborative creativity and creative problem solving as the theoretical basis of the design. After that, on the basis of the theories connected with the collaborative creativity theory, the direction and the strategies for the development of collaborative creativity was designed. The design was applied into the real learning community and finally proved the effectiveness of the learning model for the development of the collaborative creativity by the quantitative evaluation.

Analysis of achievement predictive factors and predictive AI model development - Focused on blended math classes (학업성취도 예측 요인 분석 및 인공지능 예측 모델 개발 - 블렌디드 수학 수업을 중심으로)

  • Ahn, Doyeon;Lee, Kwang-Ho
    • The Mathematical Education
    • /
    • v.61 no.2
    • /
    • pp.257-271
    • /
    • 2022
  • As information and communication technologies are being developed so rapidly, education research is actively conducted to provide optimal learning for each student using big data and artificial intelligence technology. In this study, using the mathematics learning data of elementary school 5th to 6th graders conducting blended mathematics classes, we tried to find out what factors predict mathematics academic achievement and developed an artificial intelligence model that predicts mathematics academic performance using the results. Math learning propensity, LMS data, and evaluation results of 205 elementary school students had analyzed with a random forest model. Confidence, anxiety, interest, self-management, and confidence in math learning strategy were included as mathematics learning disposition. The progress rate, number of learning times, and learning time of the e-learning site were collected as LMS data. For evaluation data, results of diagnostic test and unit test were used. As a result of the analysis it was found that the mathematics learning strategy was the most important factor in predicting low-achieving students among mathematics learning propensities. The LMS training data had a negligible effect on the prediction. This study suggests that an AI model can predict low-achieving students with learning data generated in a blended math class. In addition, it is expected that the results of the analysis will provide specific information for teachers to evaluate and give feedback to students.

Exploration of the Impact of Blended Learning's External Classroom Formats and Internal Teaching Strategies on Academic Achievement and Learners' Perception (블렌디드러닝의 외적 수업형태 및 내적 수업전략이 학업성취도와 학습자 인식에 미치는 영향 탐색)

  • Ye-Yoon Hong;Yeon-Wook Im
    • Journal of Industrial Convergence
    • /
    • v.21 no.8
    • /
    • pp.1-12
    • /
    • 2023
  • The purpose of the study is to analyze the impact of blended learning's external classroom formats and internal teaching strategies, which has been implemented in university classes due to COVID-19, on students' academic achievement and learners' perceptions, as well as to provide insights into the desirable direction of online education. The study was conducted during the 1st semester of 2022 at G University, targeting students taking Calculus I. The experimental group consisted of 117 students, while the control group consisted of 707 students. Blended learning, involving a combination of face-to-face classes, online classes, and mixed teaching methods, was implemented, and academic achievement and learner perceptions were assessed. The research findings indicate that compared to solely online classes, adopting a blended learning approach with online classes before the midterm and face-to-face classes afterwards resulted in a decline in academic achievement. The unprepared and simplistic external format of blended learning was found to be ineffective, however, a blended learning model consisting solely of online classes, incorporating a mix of asynchronous and synchronous instruction, demonstrated positive learner perceptions. Additionally, utilizing technology in the teaching strategies yielded positive outcome.

Application Methods and Development Assessment Tools for Creative Convergence Education Programs for Elementary and Secondary Schools based on Hyper Blended Practical Model (하이퍼 블렌디드 실천모델 기반 초·중등 창의 융합 교육 프로그램 평가도구 개발 및 적용 방안)

  • Choi, Eunsun;Park, Namje
    • The Journal of the Convergence on Culture Technology
    • /
    • v.8 no.2
    • /
    • pp.117-129
    • /
    • 2022
  • The ability to creatively pursue new knowledge and perspectives across various disciplines has established itself as a basic literacy for living in the 21st-century convergence era. With the development of various creative education programs, assessment tools that can objectively and systematically evaluate learners' academic achievement are also required. Therefore, this paper proposed the self assessment, peer assessment, creativity assessment, and reflection tool based on the hyper blended practical model as assessment tools for creative convergence education programs for elementary and secondary school students. The developed assessment tools attempted to develop more completed evaluation methods by modifying two items and deleting four items through validity tests. In addition, the evaluation tool was applied to 596 elementary and secondary school students nationwide, and the application results were analyzed through one-way ANOVA and Wordcloud system. As a result of the analysis, it was found that the self assessment and the reflection tool need to develop questions according to the grade group. In addition, we proposed to use these assessment tools in blended classes or various educational activities in the changing classroom environment. We hope that this paper provides implications for developing evaluation systems and tools for creative convergence education.

Development and Effects of a Sex Education Program with Blended Learning for University Students (대학생을 위한 블렌디드 러닝 기법의 성 교육 프로그램 개발 및 효과)

  • Kim, Il-Ok;Yeom, Gye Jeong;Kim, Mi Jeong
    • Child Health Nursing Research
    • /
    • v.24 no.4
    • /
    • pp.443-453
    • /
    • 2018
  • Purpose: This study was describes the development and implementation a sex education program with a blended learning method for university students. Methods: Sixty-eight university students were recruited either to the experimental group (n=35) or the control group (n=33). This program was developed based on the analysis, design, development, implementation, and evaluation model. The analysis phase consisted of a literature review, focus group interview, expert consultations, and target group survey. In addition, learning objectives and structure were designed, and a printed text-book, presentation slides, cross-word puzzle, and debate topics were developed. In the implementation phase, the program was conducted 3 times over the course of 3 weeks. The evaluation phase involved verification of the effects of the program on sex-related knowledge, sexual autonomy, and justification of violence, as well as an assessment of satisfaction with the program. Results: The experimental group had significantly higher scores on sex-related knowledge (t=5.47, p<.001), sexual autonomy (t=2.40, p=.019), and justification of violence (t=2.52, p=.015) than the control group. Conclusion: The results indicate that this sex education program with blended learning was effective in meeting the needs of university students and can be widely used in this context.

An investigation on the mortars containing blended cement subjected to elevated temperatures using Artificial Neural Network (ANN) models

  • Ramezanianpour, A.A.;Kamel, M.E.;Kazemian, A.;Ghiasvand, E.;Shokrani, H.;Bakhshi, N.
    • Computers and Concrete
    • /
    • v.10 no.6
    • /
    • pp.649-662
    • /
    • 2012
  • This paper presents the results of an investigation on the compressive strength and weight loss of mortars containing three types of fillers as cement replacements; Limestone Filler (LF), Silica Fume (SF) and Trass (TR), subjected to elevated temperatures including $400^{\circ}C$, $600^{\circ}C$, $800^{\circ}C$ and $1000^{\circ}C$. Results indicate that addition of TR to blended cements, compared to SF addition, leads to higher compressive strength and lower weight loss at elevated temperatures. In order to model the influence of the different parameters on the compressive strength and the weight loss of specimens, artificial neural networks (ANNs) were adopted. Different diagrams were plotted based on the predictions of the most accurate networks to study the effects of temperature, different fillers and cement content on the target properties. In addition to the impressive RMSE and $R^2$ values of the best networks, the data used as the input for the prediction plots were chosen within the range of the data introduced to the networks in the training phase. Therefore, the prediction plots could be considered reliable to perform the parametric study.

Modeling and Autopilot Design of Blended Wing-Body UAV

  • Min, Byoung-Mun;Shin, Sung-Sik;Shim, Hyun-Chul;Tahk, Min-Jea
    • International Journal of Aeronautical and Space Sciences
    • /
    • v.9 no.1
    • /
    • pp.121-128
    • /
    • 2008
  • This paper describes the modeling and autopilot design procedure of a Blended Wing-Body(BWB) UAV. The BWB UAV is a tailless design that integrates the wing and the fuselage. This configuration shows some aerodynamic advantages of lower wetted area to volume ratio and lower interference drag as compared to conventional type UAV. Also, BWB UAV may be increase payload capacity and flight range. However, despite of these benefits, this type of UAV presents several problems related to flying qualities, stability, and control. In this paper, the detailed modeling procedure of BWB UAV and stability analysis results using the linearized model at trim condition are represented. Finally, we designed the autopilot of BWB UAV based on a simple control allocation scheme and evaluated its performance through nonlinear simulation.

A Study on the Physical Characteristics of Concrete using Multi-Component Blended Binder According to Warter Reduction Efficiency of Warter Reduction Agent (감수제의 감수 효율에 따른 다성분계 결합재를 사용한 콘크리트의 물리적 특성에 관한 기초적 연구)

  • Kim, Kyung-Hwan;Oh, Sung-Rok;Choi, Byung-Keol;Choi, Yun-Wang
    • Journal of the Korea Concrete Institute
    • /
    • v.27 no.5
    • /
    • pp.559-568
    • /
    • 2015
  • In this study, multi-component blended concrete mix with fly ash and ground granulated blast furnace slag according to 3 level of type of warter reduction agent (type of 0%, 8% and 16%) and 3 level of water-binder ratio (40%, 45% and 50%) was prepared for evaluation of effect of physical characteristics of concrete using multi-component blended binder according to warter reduction efficiency of warter reduction agent. In addition, concrete mix was carried out repetition test of three times in order to secure the reliability. As a result, compressive strength according to type of warter reduction agent was found that difference of strength was about 20% occurred, warter reduction efficiency of warter reduction agent was showed that a great influence on qualities of concrete. Therefore, reflected the effect of warter reduction efficiency of warter reduction agent, prediction model equations of compressive strength for multi-component blended concrete was proposed, it was found that more than 90% of the high correlation.