Personalised context-aware ubiquitous learning system for supporting effective English vocabulary learning

2010 ◽  
Vol 18 (4) ◽  
pp. 341-364 ◽  
Author(s):  
Chih-Ming Chen ◽  
Yi-Lun Li
2020 ◽  
Vol 18 (3) ◽  
pp. 78-98
Author(s):  
Mohammad Nehal Hasnine ◽  
Hiroaki Ogata ◽  
Gökhan Akçapınar ◽  
Kousuke Mouri ◽  
Keiichi Kaneko

In ubiquitous learning, authentic experiences are captured and later reused as those are rich resources for foreign vocabulary development. This article presents an experiential theory-oriented approach to the design of learning analytics support for sharing and reusing authentic experiences. In this regard, first, a conceptual framework to support vocabulary learning using learners' authentic experiences is proposed. Next, learning experiences are captured using a context-aware ubiquitous learning system. Finally, grounded in the theoretical framework, the development of a web-based tool called learn from others (LFO) panel is presented. The LFO panel analyzes various learning logs (authentic, partially-authentic, and words) using the profiling method while determining the top-five learning partners inside a seamless learning analytics platform. This article contributes to the research in the area of theory-oriented design of learning analytics for vocabulary learning through authentic activities and focuses on closing the loops of experiential learning using learning analytics cycles.


Author(s):  
Gwo-Jen Hwang ◽  
Chin-Chung Tsai ◽  
Hui-Chun Chu ◽  
Kinshuk Kinshuk ◽  
Chieh-Yuan Chen

<span>Fostering students' scientific inquiry competence has been recognised as being an important and challenging objective of science education. To strengthen the understanding of science theories or notations, researchers have suggested conducting some learning activities in the field via operating relevant devices. In a traditional in-field scientific inquiry activity, the teacher usually lets the students operate the devices on their own after demonstrating the operational procedure. With such an approach, the students are likely to suspend the practice when they encounter problems; moreover, it is difficult for the students to connect what they have learned from the textbooks with the field practice. To deal with this problem, this study presents a context-aware ubiquitous learning system with sensing technology to detect and examine the real-world learning behaviours of students, such that personalised learning guidance and feedback can be provided; moreover, the students' experiences of operating those scientific devices, such as solar power equipment or the constellation simulators, can be conjunct to the knowledge learned from the textbooks. The experimental results from a science course of an elementary school show that this innovative approach is able to improve the learning achievements of students as well as enhance their learning motivation.</span>


2014 ◽  
Vol 670-671 ◽  
pp. 1659-1662
Author(s):  
Jing Zhang ◽  
Li Wei Zhang ◽  
Guang Yu Wang

Ubiquitous learning in pervasive computing is the future way of learning environment. This paper briefly introduces the pervasive learning and its characteristics, through the analysis of a typical ubiquitous learning system, on how to implement context aware technology research, and proposed a general pervasive learning context aware model.


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