Abstract

Several emerging issues concerning the development of interactive learning environment were left unsolved although e-learning has been applied for years. With several studies indicate that more interaction between students and systems increases students’ level of interest and allows them to focus on learning support. Due to the way current interactive learning tools are designed, users have to wear or operate actual tools in order to carry out the required learning procedures. The use of tools for long durations of time results in user fatigue. Hence, this study incorporates the Microsoft Kinect as interactive tool for detecting gestures in the e-learning process. This study also uses the interaction method that we had developed on Facebook to interact with the proposed learning system. The experiments in this study are divided into five parts: system performance of the 3D web engine, gesture accuracy, system and gesture usability, system and gesture satisfaction, and learning satisfaction of the learner. Also, the gesture design was accepted by learners when they interacted with the learning system. Our research shows that our concept as well as the features of our system can fully support social learning and enhance interaction between users in learning environments.

Highlights

  • T Social networks give structure to complex relations between individuals or organizations

  • The interaction usually appears between teacher and students for questions and answers, seldom between students for problem discussions or idea brainstorming. It cannot provide an environment for fully supporting social learning

  • To enhance interaction and make the learning experience more diverse, we try to utilize the power of social networks

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Summary

Introduction

T Social networks give structure to complex relations between individuals or organizations. We build a tool for tion [6] It is a method of nonverbal communication in which information visualization, called the Interactive 3D Social Graph, based on 3D and Kinematic technologies, which makes complex data more readable and clear. (4) after performing the visualization of the Facebook data into 3D graph based user interface, user can interact and explore it by using Kinect hand gesture. In order to visualize user social networks and implement various functions from Facebook in our system, we define the types of data we need for our system below:. Node information, including user ID, name, and taken-course list, are displayed and highlighted when the node is selected Another feature is called Course Graph, which provides a course tree that contains learning history and scores for each lesson.

E Zoom out gesture
Experiment and Empirical Studies
Conclusion and Future Works
Conflict of Interests
Full Text
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