Peng, H., Chuang, P.-Y., Hwang, G.-J., Chu, H.-C., Wu, T.-T., & Huang, S.-X. (2009). Ubiquitous Performance-support System
as Mindtool: A Case Study of Instructional Decision Making and Learning Assistant. Educational Technology & Society, 12 (1),
107–120.
107
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Ubiquitous Performance-support System as Mindtool: A Case Study of
Instructional Decision Making and Learning Assistant
Hsinyi Peng and Po-Ya Chuang
Institute of Education, National Chiao Tung University, Hsinchu 300, Taiwan // hpeng@mail.nctu.edu.tw //
poya@dato.idv.tw
Gwo-Jen Hwang
*
, Hui-Chun Chu, Ting-Ting Wu and Shu-Xian Huang
Department of Information and Learning Technology, National University of Tainan, Tainan city 70005, Taiwan //
Tel: 886-915396558//Fax: 886-3017001 // gjhwang@mail.nutn.edu.tw // carolchu@mail.nutn.edu.tw //
danytingting@gmail.com // rumb-73716@yahoo.com.tw
*
Corresponding author
ABSTRACT
Researchers have conducted various studies on applying wireless communication and ubiquitous computing
technologies to education, so that the technologies can provide learners and educators with more active and
adaptive support. This study proposes a Ubiquitous Performance-support System (UPSS) that can facilitate the
seamless use of powerful new technologies in the school setting. In order to help the readers visualize these
novel technologies in practice, we present one case study of a butterfly-ecology training course facilitated by the
UPSS. The aim behind the case study is to inform the design and the development of context-aware ubiquitous
computing system and its learning materials. The research inquiry centers around three themes: (1) the critical
features to the data-driven decision making of teachers, (2) the perceptions of teachers and students to the UPSS,
and (3) implementation issues. The results of the two rounds of formative evaluation indicate positive effects of
the UPSS regarding motivation, interactivity, and effectiveness. In addition, teachers’ attitudes and teachers’
pedagogical approaches toward UPSS use are two key factors in the successful implementation of teaching with
such innovative technology. This study can be a useful reference for those who are interested in conducting
studies applying context-aware ubiquitous computing to educational contexts. Finally, this study presents
suggestions and implications for future research and system development.
Keywords
Ubiquitous learning, Context awareness, Data-driven decision making, Performance-support system, Ubiquitous
performance-support system
Introduction
In 2001, the United States government passed the No Child Left Behind Act (NCLB), which requires states to
develop annual assessments of school and student progress that, as accumulated data, are to help educators improve
the learning of all students. Similar to NCLB, policy that the government in Taiwan has established requires
administrators and teachers to use data to help improve the quality of education on the island (Hwang, 2003). The
educators are confronting complex sources of data from which the educators must make informed instructional
decisions (Cagiltay, 2006; Hwang et al., 2008). These new expectations have placed heavy responsibilities on
educators, who now are trying not so much to modify as to re-conceptualize educational decision making and who
now, also, are simultaneously extending data to these newly re-conceptualized areas, ranging from resource
allocation to instructional practices. As a result, educators need adequate performance support to facilitate this
transition so that they can become successful in this new working environment.
Recent digitalization around the world has been proceeding toward wireless sensor networks, which embed
computation and communication components into the environment. These devices detect certain aspects of the
contexts of our daily lives, and provide personal support accordingly. Such technology has been called ubiquitous
computing (u-computing). In the meanwhile, advances in these new technologies have led to a new research issue in
education, that is, the issue of developing a novel learning environment so that students can learn in any place at any
time. Moreover, with the help of context-aware (sensor) technology, learning systems can detect students’ learning
behaviors in the real world, and hence, students and educators alike can conduct more active and adaptive learning
activities (Hwang, 2006). This learning scenario has been called context-aware ubiquitous learning (context-aware u-
learning), which has gradually become a popular trend in education (Ogata & Yano, 2004; Hwang et al., In Press).