Seamless Connection between Learning and Assessment- Applying Progressive Learning Tasks in Mobile Ecology Inquiry

Mobile learning has been recommended for motivating students on field trips; nevertheless, owing to the complexity and the richness of the learning resources from both the real-world and the digital-world environments, information overload remains one of the major concerns. Most mobile learning designs provide feedback only for multiple choice items to guide students' learning. The aim of this study was to develop a series of worksheets as scaffolding to support inquiry-based ecology observations in a mobile learning environment. Based on a three-layer worksheet framework, a mobile learning system with in-field scoring rubrics was developed to guide the students to sequentially focus on guided observations, independent observations, and extended inquiries. Well-designed worksheets, instant feedback and supplementary materials were provided to balance the students' learning pressure and task challenge in the species-rich field. The automated scoring data for constructed response tasks were analyzed to investigate the learning growth and students' learning characteristics. The results showed that the proposed approach was effective in improving the field observation performance of the students. Furthermore, nearly 70% of the students who learned with the proposed approach could pursue their own inquiries in the mobile learning environment, showing that the approach is promising.

[1]  Kurt Squire,et al.  Environmental Detectives: PDAs as a window into a virtual simulated world , 2002, Proceedings. IEEE International Workshop on Wireless and Mobile Technologies in Education.

[2]  Susana Juniu,et al.  Implementing Handheld Computing Technology in Physical Education , 2002 .

[3]  C. Hmelo‐Silver,et al.  Scaffolding and Achievement in Problem-Based and Inquiry Learning: A Response to Kirschner, Sweller, and Clark (2006) , 2007 .

[4]  Gwo-Jen Hwang,et al.  Development of a ubiquitous learning platform based on a real-time help-seeking mechanism , 2011, Br. J. Educ. Technol..

[5]  Slava Kalyuga,et al.  Managing Cognitive Load in Adaptive Multimedia Learning , 2008 .

[6]  B. Rogoff,et al.  Everyday Cognition: Development in Social Context , 1999 .

[7]  J. Sweller Implications of Cognitive Load Theory for Multimedia Learning , 2005, The Cambridge Handbook of Multimedia Learning.

[8]  J. Bruner,et al.  The role of tutoring in problem solving. , 1976, Journal of child psychology and psychiatry, and allied disciplines.

[9]  Richard E. Clark,et al.  Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching , 2006 .

[10]  Marcelo Milrad,et al.  Integrating Mobile, Web and Sensory Technologies to Support Inquiry-Based Science Learning , 2010, 2010 6th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education.

[11]  D. Perkins,et al.  Partners in Cognition: Extending Human Intelligence with Intelligent Technologies , 1991 .

[12]  Yvonne Rogers,et al.  Ubi-learning: Integrating outdoor and indoor learning experiences , 2005 .

[13]  Gwo-Jen Hwang,et al.  A concept map approach to developing collaborative Mindtools for context-aware ubiquitous learning , 2011, Br. J. Educ. Technol..

[14]  R. Sawyer The Cambridge Handbook of the Learning Sciences: Introduction , 2014 .

[15]  Heinz Ulrich Hoppe,et al.  Proceedings IEEE International Workshop on Wireless and Mobile Technologies in Education , 2002 .

[16]  Annemarie S. Palincsar,et al.  Social constructivist perspectives on teaching and learning. , 1998, Annual review of psychology.

[17]  Gwo-Jen Hwang,et al.  A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students , 2011, Comput. Educ..

[18]  F. Paas,et al.  Cognitive Load Theory and Instructional Design: Recent Developments , 2003 .

[19]  Joanna S. Gorin Test Design with Cognition in Mind , 2007 .

[20]  Gwo-Jen Hwang,et al.  A Heuristic Algorithm for planning personalized learning paths for context-aware ubiquitous learning , 2010, Comput. Educ..

[21]  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..

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

[23]  Gwo-Jen Hwang,et al.  Research trends in mobile and ubiquitous learning: a review of publications in selected journals from 2001 to 2010 , 2011, Br. J. Educ. Technol..

[24]  J. Bruner Child's Talk: Learning to Use Language , 1985 .

[25]  Joseph Krajcik,et al.  A Scaffolding Design Framework for Software to Support Science Inquiry , 2004, The Journal of the Learning Sciences.

[26]  Roy D. Pea,et al.  The Social and Technological Dimensions of Scaffolding and Related Theoretical Concepts for Learning, Education, and Human Activity , 2004, The Journal of the Learning Sciences.

[27]  Gwo-Jen Hwang,et al.  An interactive concept map approach to supporting mobile learning activities for natural science courses , 2011, Comput. Educ..

[28]  Yuh-Shyan Chen,et al.  A mobile learning system for scaffolding bird watching learning , 2003, J. Comput. Assist. Learn..

[29]  Gwo-Jen Hwang,et al.  A two-tier test approach to developing location-aware mobile learning systems for natural science courses , 2010, Comput. Educ..

[30]  Hyo-Jeong So,et al.  Seamless Mobile Learning: Possibilities and Challenges Arising from the Singapore Experience , 2008 .

[31]  P. Greenfield A theory of the teacher in the learning activities of everyday life. , 1984 .

[32]  John Sweller,et al.  Instructional Design in Technical Areas , 1999 .

[33]  Lung-Hsiang Wong,et al.  Students' Personal and Social Meaning Making in a Chinese Idiom Mobile Learning Environment , 2010, J. Educ. Technol. Soc..

[34]  Richard Mayer,et al.  Multimedia Learning , 2001, Visible Learning Guide to Student Achievement.

[35]  Lori L. Scarlatos Tangible math , 2006, Interact. Technol. Smart Educ..

[36]  Gwo-Jen Hwang,et al.  A Decision-Tree-Oriented Guidance Mechanism for Conducting Nature Science Observation Activities in a Context-Aware Ubiquitous Learning Environment , 2010, J. Educ. Technol. Soc..

[37]  John B. Black,et al.  The Development of Cognitive Skills To Support Inquiry Learning , 2000 .

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

[39]  R. Mayer Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. , 2004, The American psychologist.

[40]  M. Sinclair,et al.  Project-based learning. , 1998, NT learning curve.

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

[42]  Courtney B. Cazden,et al.  Classroom Discourse: The Language of Teaching and Learning. Second Edition. , 2001 .

[43]  Gwo-Jen Hwang,et al.  An adaptive navigation support system for conducting context-aware ubiquitous learning in museums , 2010, Comput. Educ..

[44]  Tzu-Chi Yang,et al.  Analysis of a ubiquitous performance support system for teachers , 2009 .

[45]  David S. Kirk,et al.  Savannah: mobile gaming and learning? , 2004, J. Comput. Assist. Learn..

[46]  Jie-Chi Yang,et al.  Affordances of mobile technologies for experiential learning: the interplay of technology and pedagogical practices , 2007, J. Comput. Assist. Learn..

[47]  Dogan Ibrahim,et al.  m-Learning: An experiment in using SMS to support learning new English language words , 2009, Br. J. Educ. Technol..

[48]  Yvonne Rogers,et al.  How Mobile Technologies Are Changing the Way Children Learn , 2009 .

[49]  Tan-Hsu Tan,et al.  RFID-based Ubiquitous Learning Environment for Outdoor Learning , 2007, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007).