25.07.2013 Views

January 2012 Volume 15 Number 1 - Educational Technology ...

January 2012 Volume 15 Number 1 - Educational Technology ...

January 2012 Volume 15 Number 1 - Educational Technology ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Chinese poetry instruction, unlike natural science instruction, is not structural and procedural. The value of its<br />

knowledge is not to request students to memorize standard answers. Instead, the instruction of Chinese poetry<br />

emphasizes thinking and feeling. Therefore, students need in-time guidance to transform experiences into<br />

knowledge. The aims of the research have been stated as the following research questions:<br />

(1) What are students’ attitudes toward the use of this system?<br />

(2) What are teachers’ attitudes toward the use of this system?<br />

(3) What is the effectiveness of the folksonomy-based guidance mechanism?<br />

To show the effectiveness of the innovative approach a ubiquitous learning system was implemented to conduct<br />

Chinese scenic poetry appreciation activities in a fifth-grade Chinese course in Taiwan; forty-eight students<br />

participated in the learning activity. The results from the surveys and interviews that were conducted to understand<br />

the functionalities of the system and the learning effectiveness for the students show that the system had a positive<br />

impact on students’ learning, especially on the affective domain including participation, motivation and interaction.<br />

Based on the aforementioned idea a prototype has been implemented and surveys and interviews have been<br />

conducted. The results show that this proposed approach had a positive impact on students’ learning, especially on<br />

the affective domain including participation, motivation and interaction in Chinese poetry learning.<br />

Preliminaries and Related Work<br />

In this section, we review background knowledge about u-learning applications and Chinese poetry learning. Related<br />

research about this work is surveyed.<br />

U-Learning Applications<br />

The rise of u-learning results from the convergence of e-learning and ubiquitous computing (Lee, 2008; Ley, 2007).<br />

However, this topic is too new to have a widely accepted definition. Ogata et al. (Lyytinen & Yoo, 2002; Ogata &<br />

Yano, 2004) compare four learning environments according to two attributes: level of embeddedness and level of<br />

mobility. In their framework u-learning is characterized by high level of embeddedness and high level of mobility. A<br />

very broad-sense definition of ubiquitous learning is “anywhere and anytime learning”, no matter whether wireless<br />

communications or mobile devices are employed or not (Hwang, Tsai et al., 2008). According to many researches<br />

from this field (Hwang, Tsai et al., 2008; Ley, 2007; Lyytinen & Yoo, 2002; Ogata & Yano, 2004), ubiquitous<br />

learning contains mobile learning, pervasive learning and context-aware ubiquitous learning. In Si et al. (2006), ulearning<br />

applications were categorized as shown in Table 1, and a frame-based model was proposed to represent<br />

context-aware applications.<br />

Table 1. Categorization of u-learning applications<br />

Application Type Example<br />

Location-aware learning guidance Museum guide (Oppermann & Specht, 1999)<br />

Tour guide (Abowd & Atkeson, 1997)<br />

Conference assistant (Dey & Futakawa, 1999)<br />

Correlation-aware collaborative learning Japanese teaching (Ogata & Yano, 2004; Yin et al., 2005)<br />

Knowledge awareness map (El-Bishouty et al., 2006)<br />

P2P content access (Li et al., 2006)<br />

Task-aware supervised learning Requirement satisfied learning (Cheng & Han, 2006)<br />

Previous researchers have shown the benefits of mobile learning, pervasive learning and context-aware ubiquitous<br />

learning (Chiou et al., 2010; Hwang, Chu et al., 2010; Martín & Carro, 2009; Ogata & Yano, 2004; Pfeiffer et al.,<br />

2009; Wong et al., 2010; Yang, 2006). Subject learning has become popular in ubiquitous learning including natural<br />

science (Hwang, Chu et al., 2010; Pfeiffer et al., 2009; Yang, 2006), computer science (Martín & Carro, 2009) and<br />

language learning (Wong et al., 2010). Based on Bloom’s taxonomy (Bloom, 1956), the cognitive domain can be<br />

divided into six major levels: knowledge, comprehension, application, analysis, synthesis, and evaluation. Previous<br />

research is mainly focused on the bottom level, knowledge. However, this work aims to train students to be creative<br />

and imaginative and therefore extends the application of ubiquitous subject learning to the comprehension level.<br />

91

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!