The Construction of Web-Learning System and Learning Performance Based on Online Interaction and Self-Regulation Theories-Architectural Design Curriculum

2017 ◽  
Author(s):  
Wu Yun Wu ◽  
Kuo-Hua Weng ◽  
Ming-Hui Wen ◽  
Bi-Jing You ◽  
Jun-Wei Lian
Keyword(s):  
Architectural Design ◽  
Self Regulation ◽  
Learning System ◽  
Learning Performance ◽  
Online Interaction ◽  
Web Learning

scholarly journals A Spherical Video-Based Immersive Virtual Reality Learning System to Support Landscape Architecture Students’ Learning Performance during the COVID-19 Era

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 561
Author(s):  
Wei-Long Wu ◽  
Yen Hsu ◽  
Qi-Fan Yang ◽  
Jiang-Jie Chen
Keyword(s):  
Virtual Reality ◽  
Online Education ◽  
Landscape Architecture ◽  
Self Regulation ◽  
Learning System ◽  
Learning Performance ◽  
Control Group ◽  
Immersive Virtual Reality ◽  
Architecture Education ◽  
Quasi Experimental

During the COVID-19 pandemic, campuses are closed, and many schools are forced to transition to online instruction. There are many problems in landscape architecture education during the pandemic such as students’ decreased attention, poor self-regulation, low proactivity, and difficulty in grading. In addition, situational effects are required for landscape architecture education, but online education lacks the necessary case scenarios for courses during the pandemic. In order to solve these problems, the present study adopted a more accessible, and interactive spherical video-based immersive virtual reality (SV-IVR) approach, developed a landscape architecture SV-IVR learning system, and conducted a quasi-experimental study to examine its effectiveness. The results indicated that the experimental group students showed more positive results in their learning achievements, learning attitudes, and self-regulation than the control group. Besides, it was found that students required more time to develop their self-efficacy and that this system would not have an effect on students’ cognitive load.

The Study of the Relationship among Learner-Content Interaction, Learning Performance, and Learner Satisfaction in a Blended Learning English Class in a Rural High School

2013 ◽  
pp. 1307-1323
Author(s):  
Jiyou Jia ◽  
Zhuhui Ding ◽  
Yuhao Chen ◽  
Xuemei Cui
Keyword(s):  
High School ◽  
Learning System ◽  
Learning Performance ◽  
Learner Satisfaction ◽  
Computer Assisted ◽  
Student Survey ◽  
Web Based ◽  
English Class ◽  
Content Interaction ◽  
Assisted Instruction

Learner-content interaction is one of the four interaction types in computer assisted instruction systems. “Without leaner-content interaction, little or no learning will occur” (Moore, 1993). The authors developed a web-based vocabulary and listening learning and assessment system for English instruction, which focuses on the learner-content interaction based on the behaviorisms learning theory. The authors integrated it into a normal English class weekly for a term in a high school located in a rural province in China. They analyzed the student exam scores, the student survey answers, learner-content interaction records in the learning system, and their relationship using statistical software SPSS. The research reveals that there exists almost significant positive correlation between learner-content interaction and learning performance, but there is not any correlation between the learner-content interaction and learner satisfaction. The survey results also demonstrated the learners’ satisfaction with this interactive learning system. The reasons for those findings are analyzed. Finally, limitations and further work are discussed.

End-User Quality of Experience-Aware Personalized E-Learning

2011 ◽  
pp. 281-301
Author(s):  
Cristina Hava Muntean ◽  
Gabriel-Miro Muntean
Keyword(s):  
Learning Process ◽  
User Satisfaction ◽  
Quality Of Experience ◽  
Learning System ◽  
Learning Performance ◽  
End User ◽  
Delivery Performance ◽  
E Learning ◽  
Result Analysis

Lately, user quality of experience (QoE) during their interaction with a system is a significant factor in the assessment of most systems. However, user QoE is dependent not only on the content served to the users, but also on the performance of the service provided. This chapter describes a novel QoE layer that extends the features of classic adaptive e-learning systems in order to consider delivery performance in the adaptation process and help in providing good user perceived QoE during the learning process. An experimental study compared a classic adaptive e-learning system with one enhanced with the proposed QoE layer. The result analysis compares learner outcome, learning performance, visual quality and usability of the two systems and shows how the QoE layer brings significant benefits to user satisfaction improving the overall learning process.

A Model for an Adaptive Hypermedia Learning System Based on Data Mining Technique

2017 ◽  
pp. 65-85
Author(s):  
Mahnane Lamia ◽  
Mohamed Hafidi
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Personal Characteristics ◽  
Learning Objects ◽  
Learning System ◽  
Learning Performance ◽  
Adaptive Hypermedia ◽  
Data Mining Technique ◽  
Pedagogical Strategies ◽  
Hypermedia Learning

Since the learning style of each learner is different. Adaptive hypermedia learning system (AHLS) must fit different learner's needs. A number of AHLS have been developed to support learning styles as a source for adaptation. However, these systems suffer from several problems, namely: less attention was paid to the relationship between learning styles and learning performance. This paper proposes an AHLS model based on learning styles and learning performance. On one hand, the developed prototype will assist a learner in accessing and using learning resources which are adapted according to his/her personal characteristics (in this case his/her learning style and level of knowledge). On the other hand, it will facilitate the learning content teacher in the creation of appropriate learning objects and their application to suitable pedagogical strategies.

Applying Augmented Reality to a Mobile-Assisted Learning System for Martial Arts using Kinect Motion Capture

2016 ◽  
Vol 14 (3) ◽  
pp. 91-106
Author(s):  
Wen-Chun Hsu ◽  
Ju-Ling Shih
Keyword(s):  
Augmented Reality ◽  
Technology Acceptance ◽  
Martial Arts ◽  
Dimensional Space ◽  
Cognitive Learning ◽  
Learning System ◽  
Learning Performance ◽  
Control Group ◽  
Viewing Angle ◽  
Free Viewing

In this study, to learn the routine of Tantui, a branch of martial arts was taken as an object of research. Fitts' stages of motor learning and augmented reality (AR) were applied to a 3D mobile-assisted learning system for martial arts, which was characterized by free viewing angles. With the new system, learners could rotate the viewing angle of an image freely in a three-dimensional space, zoom in or zoom out the image, and adjust its playback speed. The experimental participants were divided into two groups, i.e., the experimental group (EG) and the control group (CG). The same coach instructed the EG through the 3D mobile-assisted learning system with AR capability while the CG was taught through a 2D video-based learning system on common mobile devices. Finally, a one-way ANOVA was performed to investigate the differences in learning performance between the two groups. Also, questionnaire surveys and interviews were conducted to understand whether the 3D free viewing angle of AR was helpful to cognitive learning of motor skills, learning motivation, learning satisfaction, and conditions of technology acceptance. It is expected that this findings herein will contribute to mobile-assisted learning and martial arts teaching in the future.

scholarly journals Enhancing L2 Learners’ Critical Thinking Skills Through a Connectivism-Based Intelligent Learning System

2018 ◽  
Vol 8 (6) ◽  
pp. 12 ◽  
Author(s):  
Jiangping Chen ◽  
Jie Hu
Keyword(s):  
Critical Thinking ◽  
Self Regulation ◽  
Mainland China ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Learning System ◽  
Teacher Student ◽  
Dual Channel ◽  
L2 Learners ◽  
Quasi Experimental

The Rain Classroom, grounded in the theory of connectivism in the digital era, is a mobile-supported tool for blended learning. This tool renders synchronous and asynchronous teacher-student interactions through dual-channel teaching in and out of class. In the study, the Critical Thinking Skills Survey (CTSS) was adopted to measure the critical thinking skills (CTS) of 112 first-year undergraduates majoring in English in mainland China. A pretest-posttest non-equivalent two-group quasi-experimental design was applied to compare the CTS of those learners of English as a second language (L2) instructed under the Rain-Classroom-based intelligent learning system with those taught by the traditional lecture approach. The mixed results indicated that the intelligent learning system had a positive effect on students’ overall CTS development with significant improvement in the interpretation subscale but had almost no influence on the evaluation and self-regulation subscales. The intelligent learning approach in this study is empirically meaningful in students’ CTS enhancement, but further research is warranted to make this system more efficacious in facilitating L2 learners’ CTS.

Sign in / Sign up

Export Citation Format

Share Document