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Frontiers of Information Technology & Electronic Engineering

ISSN 2095-9184 (print), ISSN 2095-9230 (online)

Collaborative learning via social computing

Abstract: Educational innovation is a field that has been greatly enriched by using technology in its processes, resulting in a learning model where information comes from numerous sources and collaboration takes place among multiple students. One attractive challenge within educational innovation is the design of collaborative learning activities from the social computing point of view, where collaboration is not limited to student-to-student relationships, but includes student-to-machine interactions. At the same time, there is a great lack of tools that give support to the whole learning process and are not restricted to specific aspects of the educational task. In this paper, we present and evaluate context-aware framework for collaborative learning applications (CAFCLA) as a solution to these problems. CAFCLA is a flexible framework that covers the entire process of developing collaborative learning activities, taking advantage of contextual information and social interactions. Its application in the experimental case study of a collaborative WebQuest within a museum has shown that, among other benefits, the use of social computing improves the learning process, fosters collaboration, enhances relationships, and increases engagement.

Key words: Context-awareness, Collaborative learning, Social computing, Virtual organizations, Wireless sensor networks, Real time location system

Chinese Summary  <22> ç¤¾ä¼šè®¡ç®—下的å作学习

摘è¦ï¼šæŠ€æœ¯çš„引入使得教育创新æžå¤§åœ°ä¸°å¯Œèµ·æ¥ï¼Œä»Žè€Œå½¢æˆæ–°çš„学习模型,其中,信æ¯æ¥è‡ªäºŽå¤šæºï¼Œå作在学生之间产生。教育创新中一个有å¸å¼•åŠ›çš„挑战在于从社会计算视角设计å作学习活动,这里的å作ä¸é™äºŽå­¦ç”Ÿä¹‹é—´ï¼Œä¹ŸåŒ…括学生与机器的交互。与此åŒæ—¶ï¼ŒçŽ°é˜¶æ®µæžå…¶ç¼ºå°‘工具,为学习的全过程而éžå­¦ä¹ ä»»åŠ¡çš„æŸäº›æ–¹é¢æ供支æŒã€‚为此,本文æ出并评估支æŒå作学习的上下文感知构架(CAFCLA)。CAFCLA是一个覆盖å作学习全过程活动开å‘çš„çµæ´»æž¶æž„,å¯ä»¥åˆ©ç”¨ä¸Šä¸‹æ–‡ä¿¡æ¯å’Œç¤¾äº¤äº’动。应用于æŸä¸ªåšç‰©é¦†çš„一个å作å¼WebQuest实验案例表明,使用社会计算å¯ä»¥æ”¹å–„学习过程,促进å作,增强关系,增加å‚与度。

关键è¯ç»„:上下文感知;å作学习;社会计算;虚拟组织;无线传感器网络;实时定ä½ç³»ç»Ÿ


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DOI:

10.1631/FITEE.1700840

CLC number:

G434

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On-line Access:

2019-03-11

Received:

2017-12-15

Revision Accepted:

2018-04-24

Crosschecked:

2019-02-15

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