• Title/Summary/Keyword: learning tendency

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Psychological Distance between Students and Professors in Asynchronous Online Learning, and Its Relationship to Student Achievement & Preference for Online Courses

  • LEE, Jieun
    • Educational Technology International
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    • v.11 no.2
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    • pp.123-148
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    • 2010
  • Relationships between students' perception of psychological distance with online professors and their academic learning achievement and their intention to continue online learning were examined. The courses selected for this study are two online courses: 1) 'English Grammar' and 2) 'TOEIC (Test of English for International Communication) Preparation' offered by a campus-based, medium-sized university. This study employed a mixed-methods approach by conducting a survey as well as one-on-one interviews with students. Students who feel psychologically distant with the online professors show significantly lower degree of perceived learning achievement, and higher tendency not to take online courses any more. All the three scales measuring the psychological distance -mutual awareness, connectedness, and availability- with professors turned out to be significantly related with students' perceived learning achievement. According to the result of the interview data analysis, the student interviewees unanimously said that the university should limit the number of online courses that students can register in a semester to one or two courses. Most students regard low interactivity of online learning as inevitable phenomenon. There is a statistically significant difference in perceived learning achievement between the online preferred group and the offline preferred group. Also, there is a significant difference in connectedness and availability and no significant difference in the degree of mutual awareness between the online and the offline preferred group.

The Impact of Applying Technical Equipment on the Quality of e-Learning at Northern Border University

  • Alenezi, Dr. Ahmed Maajoon
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.261-271
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    • 2022
  • The study aimed to identify the impact of the application of technical equipment for infrastructure to achieve the quality of e-learning for students in the faculties at Northern Border University, in Arar city. The study applied the analytical survey study method. To achieve the study purpose, the researcher prepared a study tool which is a questionnaire to measure the impact o of applying technical instrument for the infrastructure to achieve the quality of e-learning for students. The study sample size reached (218) students from both groups from the university faculties in Arar city. The results of the study revealed a tendency in the study sample's responses to the availability of the majority of the questionnaire criteria significantly. This indicates the positive impact of the application of technical equipment on the infrastructure to achieve the application quality of e-learning at Northern Border University, the study recommended the following: The need to pay attention to measuring the quality of electronic courses every two years in addition to the need to adjust the quality standards of e-content provided through e-learning platforms. Also, there is the gradual application of e-learning at the university in addition to spreading the culture of e-learning quality among all groups of the university community. Also, it is necessary to direct them towards benefiting from the advantages of e-learning that observes quality standards.

A Study of Developing the Practical work Integrated the Course of Study in Upper Grades

  • Tsukamoto, K.;Ohbuchi, Y.;Sakamoto, H.
    • Journal of Engineering Education Research
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    • v.17 no.4
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    • pp.48-53
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    • 2014
  • Recently, the tendency for young people losing interest in science has accelerated. This tendency is remarkable for not only Japan but also some countries of Asia. It is thought that this tendency was brought from the decrease of the chance to watch the actual manufacturing activities, and the decrease of the real experience which children makes something in their childhood. In order to bring up the capable engineers on such a social background, making a product practice which promotes the understanding of the application of theory for manufacturing products is important in addition to study by the text book. In this study, some practical work materials for the lower grades in the college were developed. Integration of the developed materials and the course of study becomes an effective teaching method of the of subjects on a special field. Arranging this practical work on the learning process makes a high effect of the integrated practical work on the curriculum.

The Changes of Learning Attitude in Mathematics for Underachiever of Learning Mathematics Using Mentoring (멘토링을 통한 수학학습부진아의 수학학습태도 변화에 대한 사례연구)

  • Kwon, Su Jin;Lim, Daekeun;Ryu, Hyunah
    • East Asian mathematical journal
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    • v.30 no.2
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    • pp.123-148
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    • 2014
  • The purpose of this article described the effects of mentoring program to the underachiever's attitude in learning Mathematics. In order to do this research, a mentoring class had been carried out for 30 weeks, with two students who was underachievers in mathematics. It was carried out contrastive analysis on the student's learning attitude in the math class before and after the mentoring, using a questionnaire of learning attitude in math with 40 questions, filling the blanks in sentence, recording files of class, and mentoring journals. As a result, before taking the mentoring class, students who were participated in the mentoring program were negative and low in five subordinate concepts(learning attitude, such as their tendency, interest, desire, confidence, attitude, and studying habits in math). However, after the mentoring class, the two students were remarkably changed in positive way on the five concepts in learning mathematics. Therefore, it is helpful to underachievers in mathematics if the mentoring program is used since it yields a positive impact on the learning attitude.

A Study on Analyzing the Plan of the Elementary Schools in Japan - focusing on the learning spaces of schools that were prized as excellent facilities - (일본 초등학교의 평면구성에 관한 건축 계획적 연구 - 우량시설 표창 학교의 학습 공간을 중심으로 -)

  • Rieu, Ho-Seop
    • Journal of the Korean Institute of Educational Facilities
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    • v.14 no.2
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    • pp.25-34
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    • 2007
  • This study analyzed the type of the teaming space of 84 elementary schools which were prized as excellent schools on architectural planning and design in Japan from 1985 to 2005. As a result of the study, more types of learning space appeared at different elementary schools, and there was a tendency to plan as one unit space which include class room, multipurpose space, and others, on the planning of learning space. They intended to be uses for the teaming and living activity as a group of a school year.

A Study on the Estimation Method of Concrete Compressive Strength Based on Machine Learning Algorithm Considering Mixture Factor (배합 인자를 고려한 Machine Learning Algorithm 기반 콘크리트 압축강도 추정 기법에 관한 연구)

  • Lee, Seung-Jun;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2017.05a
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    • pp.152-153
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    • 2017
  • In the construction site, it is necessary to estimate the compressive strength of concrete in order to adjust the demolding time of the form, and establish and adjust the construction schedule. The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, six influential factors (Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know the various correlations among data and the tendency of data. After using algorithm of various methods of machine learning techniques, we selected the most suitable regression analysis model for estimating the compressive strength.

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ICT 활용과 구체적 조작물을 통한 수학 체험 교수.학습 프로그램 개발 - 정다면체와 지오데식 돔 -

  • 김기원;김경희
    • Journal for History of Mathematics
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    • v.16 no.4
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    • pp.91-106
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    • 2003
  • We seek the possibility of application of ICT(Information & Communication Technology) to the experience learning in mathematics. Especially we focused on regular polyhedron in the middle school mathematics and on geodesic dome. We investigate related historical tales about the subjects which seem quite helpful of motivating to understand them. Then by using them and by ICT we develop an experience learning program for geodesic dome as an application of regular polyhedron. Through the program we expect that students show positive attitude in mathematical tendency and curiosity about mathematics and that the application of ICT to the experience learning in mathematics is very effective to improve their learning skill in mathematics.

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A Basic Study on the Effect of Number of Hidden Layers on Performance of Estimation Model of Compressive Strength of Concrete Using Deep Learning Algorithms (Hidden Layer의 개수가 Deep Learning Algorithm을 이용한 콘크리트 압축강도 추정 모델의 성능에 미치는 영향에 관한 기초적 연구)

  • Lee, Seung-Jun;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.130-131
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    • 2018
  • The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, nine influential factors (W/B ratio, Water, Cement, Aggregate(Coarse, Fine), Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at 4 conferences in order to know the various correlations among data and the tendency of data. The selected mixture and compressive strength data were learned using the Deep Learning Algorithm to derive an estimated function model. The purpose of this study is to investigate the effect of the number of hidden layers on the prediction performance in the process of estimating the compressive strength for an arbitrary combination.

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An Analysis of Students' Learning Trend Depending on the Achievement Levels of Programming Learning (프로그래밍 학습 성취 수준에 따른 학습자들의 학습 성향 분석)

  • Ahn, You Jung;Kim, Kyong Ah;Kim, Ji Sim;Oh, Suk;Jin, Myung Sook
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.489-490
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    • 2018
  • 본 연구에서는 프로그래밍 학습의 성취 수준별 학습자들의 학습 성향을 분석해보고자 한다. 특히 프로그래밍 학습 성취도가 높은 학생들의 복습 패턴을 통해 프로그래밍 학습 이해도를 높이기 위한 학습 방법에 대해 연구해보고자 한다.

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A Basic Study on Estimation Method of Concrete Compressive Strength Based on Deep Learning Algorithm Considering Mixture Factor (배합 인자를 고려한 Deep Learning Algorithm을 이용한 콘크리트 압축강도 추정 기법에 관한 기초적 연구)

  • Lee, Seung-Jun;Kim, In-Soo;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2017.11a
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    • pp.83-84
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    • 2017
  • In the construction site, it is necessary to estimate the compressive strength of concrete in order to adjust the demolding time of the form, and establish and adjust the construction schedule. The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, seven influential factors (W/B ratio, Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know the various correlations among data and the tendency of data. The purpose of this paper is to estimate compressive strength more accurately by applying it to algorithm of the Deep learning.

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