Ubiquitous Computing in Learning: Toward a Conceptual Framework of Ubiquitous Learning Environment

Luyi Li, Yanlin Zheng, Hiroaki Ogata, Yoneo Yano

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


The impact of Ubiquitous Computing on Learning is not confined within technical dimension. Besides its technical facilitation, this new computing paradigm also challenges human's belief on learning, and compels us to rethink on the design of learning resources and environments. The paper explores the concept of Ubiquitous Learning, and proposes a conceptual framework for a Ubiquitous Learning Environment (ULE) design and implementation. A ULE is established on the combination between Real World and Virtual Space, Personal Space and Shared Space. Learning in a ULE is conducted in the interactions among three essential communicative elements: Social Human, Object in real world, and Artifact in virtual space. A learning process is a social transfer process between tacit and explicit knowledge. Context-Awareness is indispensable to all kinds of interactions in a ULE. In particular, this paper gives a discussion to context-awareness supported Interoperability and Adaptability in a ULE, and suggests a five-dimensional (Who, What, How, When, Where) representation approach for modeling context and providing context-awareness information. In the practical dimension, this paper presents a design framework for a ULE implementation by integrating the applications of present affordable learning devices, such as networked PCs (Personal Computer), PDAs (Personal Digital Assistant), mobile phones, sensors, and RFIDs. A basic learning system architecture in a ULE and a prototype ubiquitous language learning system are also addressed in this paper.

Original languageEnglish
Pages (from-to)207-215
Number of pages9
JournalInternational Journal of Pervasive Computing and Communications
Issue number3
Publication statusPublished - Aug 2005
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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