SameView: A Large-Scale Real-Time Interactive E-learning System Based on TORM and AMTP

Educational benefits of collaborative learning have been demonstrated in several studies and various systems have been developed to date. Numerous efforts have been made to enhance these benefits by supporting collaborative learning with information and communications technology. These efforts have primarily involved support for constructing collaborative learning groups, for collaborative learning in e-learning environments, and for collaborative learning analysis. This study aims to develop a computer-supported collaborative learning system that supports instructors in real time to facilitate collaborative learning in a face-to-face environment with multiple learners at the same time to provide enhanced support. Both the learner and instructor have one tablet terminal and conduct collaborative learning in a single classroom. Herein, the learner can use the tablet to save an educational log and freely browse the educational log of another learner. By referencing the educational logs, learners can learn through face-to-face communication. Additionally, the instructor can determine (1) who is viewing whose educational log and to what extent and (2) which learner is struggling to achieve targets. Herein, an overview of the proposed system is provided and the results obtained using the proposed system are reported to evaluate its effectiveness.

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Real Time e-Learning System using Cloud Computing

International Journal of Computer Applications ◽

10.5120/ijca2015905271 ◽

2015 ◽

Vol 123 (3) ◽

pp. 19-23

Author(s):

Saurabh Malgaonkar ◽

Paulami Shah ◽

Rishabh Jhaveri ◽

Tejas Hirave

Keyword(s):

Cloud Computing ◽

Real Time ◽

Learning System ◽

E Learning

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Hybrid Camera Based Real-Time Human Body Segmentation for Virtual Reality E-learning System

2011 First ACIS/JNU International Conference on Computers, Networks, Systems and Industrial Engineering ◽

10.1109/cnsi.2011.50 ◽

2011 ◽

Cited By ~ 1

Author(s):

JongGook Ko ◽

SuWoo Lee ◽

Seokbin Kang ◽

Junsuk Lee

Keyword(s):

Virtual Reality ◽

Real Time ◽

Human Body ◽

Learning System ◽

E Learning ◽

Body Segmentation ◽

Human Body Segmentation

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Augmented Reality

Emerging Tools and Applications of Virtual Reality in Education - Advances in Educational Technologies and Instructional Design ◽

10.4018/978-1-4666-9837-6.ch011 ◽

2016 ◽

pp. 239-257 ◽

Cited By ~ 5

Author(s):

Çelebi Uluyol ◽

Sami Şahin

Keyword(s):

Augmented Reality ◽

Real Time ◽

Experimental Studies ◽

Emerging Technology ◽

Learning System ◽

Digital Information ◽

Educational Settings ◽

Advantages And Disadvantages ◽

The Future ◽

E Learning

Augmented Reality (AR) is an emerging technology that bridges the gap between the computer-generated digital information and the reality in real time. Despite the use of AR in numerous disciplines such as architecture, e-learning system, entertainment, medicine, engineering, and e-commerce, it has also potential implications in education. Therefore, in this study, augmented reality use in education is considered in all aspects. After the advantages and disadvantages of AR use in education is explained detailed, the phases of augmented reality book development are discussed. As a result, researchers should work on experimental studies to investigate how AR applications can be applied in educational settings in the future.

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Supporting System for Quiz in Large Class – Automatic Keyword Extraction and Browsing Interface –

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2015.p0152 ◽

2015 ◽

Vol 19 (1) ◽

pp. 152-157 ◽

Cited By ~ 6

Author(s):

Haruhiko Takase ◽

◽

Hiroharu Kawanaka ◽

Shinji Tsuruoka ◽

Keyword(s):

Large Class ◽

Real Time ◽

Learning System ◽

Keyword Extraction ◽

Supporting System ◽

Extra Information ◽

E Learning

We focus on developing an e-learning system that supports the grasping of misunderstanding from descriptive answers. We propose real-time keyword extraction and an interface for grasping misunderstanding based on extracted keywords. The system extracts keywords without extra information. Teachers find majormisunderstandings by using the proposed interface, which consists of two views – keyword and description. Using these views, teachers browse answers in three steps – finding keywords, reading around keywords, and reading full answers. We use experiments to demonstrate the effectiveness of our system, this proposed keyword extraction extracts expected words. Subjects evaluate the proposed interface for its effectiveness in grasping misunderstandings. Using our proposed, teachers found major misunderstandings quickly and easily.

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e-Learning System That Provides Personalized Adaptive Contents in Real-Time

Advanced Science Letters ◽

10.1166/asl.2013.5009 ◽

2013 ◽

Vol 19 (9) ◽

pp. 2581-2584

Author(s):

Junghyun Kim ◽

Sung Wook Baik ◽

Chuleui Hong ◽

Hanku Lee ◽

Changhee Han ◽

...

Keyword(s):

Real Time ◽

Learning System ◽

E Learning

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Real-time learning analytics system for improvement of on-site lectures

Interactive Technology and Smart Education ◽

10.1108/itse-05-2018-0026 ◽

2018 ◽

Vol 15 (4) ◽

pp. 314-331 ◽

Cited By ~ 6

Author(s):

Atsushi Shimada ◽

Shin’ichi Konomi ◽

Hiroaki Ogata

Keyword(s):

Real Time ◽

Learning Analytics ◽

Teaching And Learning ◽

Large Scale ◽

Feedback System ◽

Learning System ◽

Content Type ◽

New Strategy ◽

Teachers And Students ◽

Scale Experiment

Purpose The purpose of this study is to propose a real-time lecture supporting system. The target of this study is on-site classrooms where teachers give lectures and a lot of students listen to teachers’ explanations, conduct exercises, etc. Design/methodology/approach The proposed system uses an e-learning system and an e-book system to collect teaching and learning activities from a teacher and students in real time. The collected data are immediately analyzed to provide feedback to the teacher just before the lecture starts and during the lecture. For example, the teacher can check which pages were well previewed and which pages were not previewed by students using the preview achievement graph. During the lecture, real-time analytics graphs are shown on the teacher’s PC. The teacher can easily grasp students’ status and whether or not students are following the teacher’s explanation. Findings Through the case study, the authors first confirmed the effectiveness of each tool developed in this study. Then, the authors conducted a large-scale experiment using a real-time analytics graph and investigated whether the proposed system could improve the teaching and learning in on-site classrooms. The results indicated that teachers could adjust the speed of their lecture based on the real-time feedback system, which also resulted in encouraging students to put bookmarks and highlights on keywords and sentences. Originality/value Real-time learning analytics enables teachers and students to enhance their teaching and learning during lectures. Teachers should start considering this new strategy to improve their lectures immediately.

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