Mindtool-Assisted In-Field Learning (MAIL): An Advanced Ubiquitous Learning Project in Taiwan

Scholars have identified that learning in an authentic environment with quality contextual and procedural supports can engage students in thorough observations and knowledge construction. Moreover, the target is that students are able to experience and make sense of all of the learning activities in the real-world environment with meaningful supports, such that their learning motivation can be promoted, knowledge can be sensibly constructed, and skills can be fully developed. To develop potential tutoring strategies and learning activity models using mobile, wireless, and sensing information and communication technologies (ICT) in a real-world learning environment, a four-year national e-learning research project entitled "Mindtool-Assisted In-field Learning (MAIL)" has been funded by the National Science Council of Taiwan since 2008 in an effort to lead the development and innovation of Learning Technology. The integrated project aimed to develop Mindtool- assisted knowledge construction models, assessment models, guidance models, and reflection strategies for cutting-edge context-aware ubiquitous learning. Moreover, a series of learning activities has been conducted to examine the effectiveness of the proposed learning strategies and models. Each year, more than 1,500 students have participated in the in-field learning activities with the designed approaches. Based on the results of a series of experiments, it was found that the students' learning performance as well as their in-field inquiry ability was significantly improved, showing the effectiveness of the Mindtool-assisted ubiquitous learning approach and the success of the MAIL project. In this paper, the background, objectives, theoretical foundations, systems, research issues, applications, and findings of the MAIL project are presented. Finally, the scaling-up plan for applying these research-proven learning models to all levels of educational settings in Taiwan is also addressed.

[1]  F. Fischer,et al.  Fostering collaborative knowledge construction with visualization tools , 2002 .

[2]  David H. Jonassen,et al.  Handbook of Research for educational Communications and Technology , 1997 .

[3]  Gwo-Jen Hwang,et al.  The Development of a Computerized Ecology Observation Competence Assessment , 2010 .

[4]  A. L. Woods,et al.  An investigation of the effectiveness of concept mapping as an instructional tool , 1993 .

[5]  David H. Jonassen,et al.  Computers as mindtools for engaging learners in critical thinking , 1998 .

[6]  A. Collins,et al.  Situated Cognition and the Culture of Learning , 1989 .

[7]  F. Paas Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. , 1992 .

[8]  Chun-Hsiung Lee,et al.  Application of automatically constructed concept map of learning to conceptual diagnosis of e-learning , 2009, Expert Syst. Appl..

[9]  Alberto J. Cañas,et al.  The Origins of the Concept Mapping Tool and the Continuing Evolution of the Tool* , 2006, Inf. Vis..

[10]  Chien Chou,et al.  Ubiquitous knowledge construction: mobile learning re‐defined and a conceptual framework , 2009 .

[11]  Edward A. Feigenbaum,et al.  The Art of Artificial Intelligence: Themes and Case Studies of Knowledge Engineering , 1977, IJCAI.

[12]  Edward A. Felgenbaum The art of artificial intelligence: themes and case studies of knowledge engineering , 1977, IJCAI 1977.

[13]  Robert Chimedza,et al.  Using Concept Maps to Measure Conceptual Change in Preservice Teachers Enrolled in a Multicultural Education/ Special Education Course , 1998 .

[14]  Hiroaki Ogata,et al.  Context-aware support for computer-supported ubiquitous learning , 2004, The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings..

[15]  F. Paas,et al.  Cognitive Architecture and Instructional Design , 1998 .

[16]  H. Sollervall,et al.  Outdoor Activities for the Learning of Mathematics: Designing with Mobile Technologies for Transitions across Learning Contexts , 2012, 2012 IEEE Seventh International Conference on Wireless, Mobile and Ubiquitous Technology in Education.

[17]  André Tricot,et al.  Interaction between prior knowledge and concept-map structure on hypertext comprehension, coherence of reading orders and disorientation , 2010, Interact. Comput..

[18]  David H. Jonassen,et al.  Mindtools: Affording Multiple Knowledge Representations for Learning , 2020 .

[19]  Gwo-Jen Hwang,et al.  Ubiquitous Performance-support System as Mindtool: A Case Study of Instructional Decision Making and Learning Assistant , 2009, J. Educ. Technol. Soc..

[20]  Gwo-Jen Hwang,et al.  Effects of the inquiry-based mobile learning model on the cognitive load and learning achievement of students , 2013, Interact. Learn. Environ..

[21]  Lung-Hsiang Wong,et al.  What seams do we remove in mobile-assisted seamless learning? A critical review of the literature , 2011, Comput. Educ..

[22]  David H. Jonassen,et al.  Computers as Mindtools for Schools: Engaging Critical Thinking , 1999 .

[23]  Gwo-Jen Hwang,et al.  Effects of Touch Technology-based Concept Mapping on Students' Learning Attitudes and Perceptions , 2013, J. Educ. Technol. Soc..

[24]  Gi-Zen Liu,et al.  Innovating research topics in learning technology: Where are the new blue oceans? , 2008, Br. J. Educ. Technol..

[25]  J. Michael Spector,et al.  Handbook of Research on Educational Communications and Technology, 3rd Edition , 2012 .

[26]  Ton de Jong,et al.  Technology-Enhanced Learning: Principles and Products , 2009 .

[27]  Chei-Chang Chiou,et al.  The effect of concept mapping on students’ learning achievements and interests , 2008 .

[28]  M. G. Jones,et al.  The concept map as a research and evaluation tool: Further evidence of validity , 1994 .

[29]  Guillermo Aranda-Mena,et al.  An alignment model for the research higher degree supervision process using repertory grids - reflections on application in practice in built environment research , 2012 .

[30]  Chin-Chung Tsai,et al.  A context-aware ubiquitous learning approach to conducting scientific inquiry activities in a science park , 2012 .

[31]  Peter Lonsdale,et al.  Supporting pervasive learning environments: adaptability and context awareness in mobile learning , 2005, IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'05).

[32]  Gwo-Jen Hwang,et al.  A knowledge acquisition approach to developing Mindtools for organizing and sharing differentiating knowledge in a ubiquitous learning environment , 2011, Comput. Educ..

[33]  Gwo-Jen Hwang,et al.  Criteria, Strategies and Research Issues of Context-Aware Ubiquitous Learning , 2008, J. Educ. Technol. Soc..

[34]  Lung-Hsiang Wong,et al.  A learner-centric view of mobile seamless learning , 2012, Br. J. Educ. Technol..

[35]  Marcelo Milrad,et al.  Mobile learning: small devices, big issues , 2009 .

[36]  Jean Lave,et al.  Situating learning in communities of practice , 1991, Perspectives on socially shared cognition.

[37]  Tzu-Chien Liu,et al.  The Effects of Mobile Natural-science Learning Based on the 5E Learning Cycle: A Case Study , 2009, J. Educ. Technol. Soc..

[38]  Gwo-Jen Hwang,et al.  The characteristics of gifted students' ecology inquiries in ubiquitous learning activities , 2012, Int. J. Mob. Learn. Organisation.

[39]  Gwo-Jen Hwang,et al.  A knowledge engineering approach to developing mindtools for context-aware ubiquitous learning , 2010, Comput. Educ..

[40]  Elliot Soloway,et al.  Anatomy of a mobilized lesson: Learning my way , 2009, Comput. Educ..

[41]  Chee-Kit Looi,et al.  Location matters: leveraging knowledge building with mobile devices and Web 2.0 technology , 2009, Interact. Learn. Environ..

[42]  Ju-Ling Shih,et al.  An investigation-based learning model for using digital libraries to support mobile learning activities , 2011, Electron. Libr..

[43]  Chih-Ming Chen,et al.  Personalised context-aware ubiquitous learning system for supporting effective English vocabulary learning , 2010, Interact. Learn. Environ..

[44]  Fred Paas,et al.  Cognitive load in interactive knowledge construction , 2009 .

[45]  Chen-Chung Liu,et al.  Assessment Based on Linkage patterns in Concept Maps , 2005, J. Inf. Sci. Eng..

[46]  Kirsten Holmes,et al.  Community Consultation in Developing Museum Projects: A Case Study Using the Repertory Grid Technique , 2006 .

[47]  Haya Shamir,et al.  Variability in reading ability gains as a function of computer-assisted instruction method of presentation , 2010, Comput. Educ..

[48]  S. K. Ingeç,et al.  Analysing Concept Maps as an Assessment Tool in Teaching Physics and Comparison with the Achievement Tests , 2009 .