Evaluating a Mobile and Online System for Apprentices' Learning Documentation in Vocational Education: Usability, Effectiveness and Satisfaction

In Switzerland, 99% of teenagers own a mobile phone and use it as their primary spare-time activity. Exploiting the affordances that mobile devices have for fostering learning across contexts is therefore imperative for the educational community. This is especially true in the case of dual vocational education and training VET-a field under-investigated with respect to mobile learning-where apprentices alternate between a company and vocational school. After introducing the major issues characterising mobile learning and their relevance to the VET context, the paper presents a project involving apprentice chefs and their teacher, with the aim of exemplifying and exploring VET learning between workplace and classroom, as a conversation between the learner, the teacher and the in-company trainer, and to evaluate the results of its implementation in terms of usability, effectiveness, and satisfaction.

[1]  Minjuan Wang,et al.  The impact of mobile learning on students' learning behaviours and performance: Report from a large blended classroom , 2009, Br. J. Educ. Technol..

[2]  Mohammad M. Alnabhan Ubiquity and Context-Aware M-Learning Model: A Mobile Virtual Community Approach , 2014, Int. J. Handheld Comput. Res..

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

[4]  Judith Ramsay,et al.  The five central psychological challenges facing effective mobile learning , 2012, Br. J. Educ. Technol..

[5]  D. Parsons International Journal of Mobile and Blended Learning , 2010 .

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

[7]  Heinz Ulrich Hoppe,et al.  One-to-One Technology-Enhanced Learning: an Opportunity for Global Research Collaboration , 2006, Res. Pract. Technol. Enhanc. Learn..

[8]  Francisco V. Cipolla-Ficarra,et al.  Technology-Enhanced Human Interaction in Modern Society , 2017 .

[9]  Gregory Schraw,et al.  Assessing metacognitive awareness , 1994 .

[10]  Francisco Vicente Cipolla-Ficarra Advanced Research and Trends in New Technologies, Software, Human-Computer Interaction, and Communicability , 2013 .

[11]  Tzu-Chien Liu,et al.  Split-attention and redundancy effects on mobile learning in physical environments , 2012, Comput. Educ..

[12]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[13]  Luigi Barazzetti,et al.  Reality-Based 3D Modelling from Images and Laser Scans: Combining Accuracy and Automation , 2014 .

[14]  Yanjie Song Investigating Undergraduate Student Mobile Device Use in Context , 2011 .

[15]  Alberto Cattaneo,et al.  Mobile Devices to Bridge the Gap in VET: Ease of Use and Usefulness as Indicators for Their Acceptance , 2013 .

[16]  Mark McMahon,et al.  The SUPL Approach: A Conceptual Framework for the Design of 3D E-Simulations Based on Gaming Technology within a Problem-Based Learning Pedagogy , 2012 .

[17]  Jennifer Courduff,et al.  Teacher Education and Principles of Effective Assistive Technology Implementation , 2014 .

[18]  Johannes C. Cronjé,et al.  Defining Mobile Learning in the Higher Education Landscape , 2010, J. Educ. Technol. Soc..

[19]  Yueh-Min Huang,et al.  The Add-on Impact of Mobile Applications in Learning Strategies: A Review Study , 2010, J. Educ. Technol. Soc..

[20]  Yen-Chun Jim Wu,et al.  Review of trends from mobile learning studies: A meta-analysis , 2012, Comput. Educ..

[21]  Yeonjeong Park,et al.  A Pedagogical Framework for Mobile Learning: Categorizing Educational Applications of Mobile Technologies into Four Types. , 2011 .

[22]  Guy Merchant,et al.  Mobile practices in everyday life: Popular digital technologies and schooling revisited , 2012, Br. J. Educ. Technol..

[23]  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..

[24]  Jeremy Roschelle,et al.  Keynote paper: Unlocking the learning value of wireless mobile devices , 2003, J. Comput. Assist. Learn..

[25]  Norbert Pachler,et al.  Towards Work-Based Mobile Learning: What We Can Learn from the Fields of Work-Based Learning and Mobile Learning , 2010, Int. J. Mob. Blended Learn..

[26]  Mika Luimula,et al.  Players’ Experience in a Sport Geocaching Game , 2014 .

[27]  Don Passey,et al.  Mobile Learning in School Contexts: Can Teachers Alone Make It Happen? , 2010, IEEE Transactions on Learning Technologies.

[28]  S. Ludvigsen,et al.  Learning Across Sites : New Tools, Infrastructures and Practices , 2010 .

[29]  Fabrizio Stasolla,et al.  Promoting Environmental Control, Social Interaction, and Leisure/Academy Engagement Among People with Severe/Profound Multiple Disabilities Through Assistive Technology , 2016 .

[30]  Carmela Aprea,et al.  Using Technologies to Integrate Vocational Learning in Multiple Contexts , 2014 .

[31]  Steven Wright,et al.  Technologies for learning? An actor-network theory critique of ‘affordances’ in research on mobile learning , 2011 .

[32]  Ana Grasielle Dionísio Corrêa Interactive Books in Augmented Reality for Mobile Devices: A Case Study in the Learning of Geometric Figures , 2016 .

[33]  Fredrik Rutz Recording Mobile Learning: An Evaluation of the Number of Audio Recorders Needed in an M-Tel Study , 2012, Int. J. Mob. Blended Learn..

[34]  J. Merriënboer,et al.  The effects of portfolio-based advice on the development of self-directed learning skills in secondary vocational education , 2009 .

[35]  Ann Jones,et al.  PDAs as lifelong learning tools: an activity theory based analysis , 2005 .

[36]  Mike Sharples,et al.  The design of personal mobile technologies for lifelong learning , 2000, Comput. Educ..

[37]  Alberto Cattaneo,et al.  Writing Reflective Learning Journals: Promoting the Use of Learning Strategies and Supporting the Development of Professional Skills , 2016 .

[38]  Jacob L. Cybulski,et al.  Professional Education Using E-Simulations: Benefits of Blended Learning Design , 2011 .

[39]  T. Cochrane Exploring mobile learning success factors , 2010 .

[40]  Gregg Orr A Review of Literature in Mobile Learning: Affordances and Constraints , 2010, 2010 6th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education.

[41]  U. Margiotta Educazione e formazione nella società della conoscenza , 2005 .

[42]  Pedro Isaias,et al.  Emerging Research and Trends in Interactivity and the Human-Computer Interface , 2013 .

[43]  Daniel Wagner,et al.  Post-Web 2.0 Pedagogy: From Student-Generated Content to International Co-Production Enabled by Mobile Social Media , 2013, Int. J. Mob. Blended Learn..

[44]  Carmela Aprea,et al.  Digitale Technologien als Tools zur Förderung der Konnektivität des Lernens in Schule und Betrieb , 2012 .

[45]  Marcelo Milrad,et al.  The Genesis and Development of Mobile Learning in Europe , 2011 .

[46]  Rafael A. Gonzalez,et al.  A System for the Semi-Automatic Evaluation of Clinical Practice Guideline Indicators , 2015 .

[47]  Gemma Tur Ferrer,et al.  Exploring Learners’ Practices and Perceptions on the Use of Mobile Portfolios as Methodological Tool to Assess Learning in Both Formal and Informal Contexts , 2012 .

[48]  N. Pachler Research Methods in Mobile and Informal Learning: Some Issues , 2009 .

[49]  Gemma Tur Ferrer,et al.  M-portfolios: Using Mobile Technology to Document Learning in Student Teachers’ E-portfolios , 2012 .

[50]  V. Midoro For a new teacher , 2005 .

[51]  N. Pachler,et al.  Mobile Learning: Structures, Agency, Practices , 2009 .

[52]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[53]  Paul A. Kirschner,et al.  Can we support CSCL? Educational, social and technological affordances for learning , 2002 .

[54]  Norbert Pachler,et al.  Ubiquitous Mobility with Mobile Phones: A Cultural Ecology for Mobile Learning , 2011 .

[55]  Andrew Kitchenham,et al.  Models for Interdisciplinary Mobile Learning: Delivering Information to Students , 2011 .

[56]  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..

[57]  Valentina Nisi,et al.  Experience Prototyping: Gathering Rich Understandings to Guide Design , 2012 .

[58]  Panayiotis Zaphiris,et al.  Human computer interaction : concepts, methodologies, tools, and applications , 2009 .

[59]  P. Tynjälä Perspectives into learning at the workplace , 2008 .

[60]  Päivi Tynjälä,et al.  Connectivity and Transformation in Work-Related Learning – Theoretical Foundations , 2009 .

[61]  Kurt Squire,et al.  Environmental Detectives—the development of an augmented reality platform for environmental simulations , 2008 .

[62]  Roy D. Pea,et al.  WILD for learning: Interacting through new computing devices anytime, anywhere , 2006 .

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

[64]  B. K. Tripathy,et al.  Image Enhancement Techniques Using Particle Swarm Optimization Technique , 2016 .

[65]  Kim Nee Goh,et al.  Location-Based Data Visualisation Tool for Tuberculosis and Dengue: A Case Study in Malaysia , 2014 .

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

[67]  J. Traxler Defining, Discussing and Evaluating Mobile Learning: The moving finger writes and having writ . . . . , 2007 .