Using mobile phones in college classroom settings: Effects of presentation mode and interest on concentration and achievement

How to trigger and maintain the concentration of learners in their learning activities through mobile devices has become an important issue. Research on learning concentration and information presentation mode can provide new insights into the design and selection of m-learning materials and activities. This study used a quasi-experimental design to investigate the interaction effects of interest and presentation mode on the concentration and achievement of learning conceptual knowledge through mobile phones in the classroom setting. A total of 258 Chinese education majors participated in this study. Through correlation analysis, regression analysis, and ANOVA (one-way, two-way, and three-way), the three following major results were obtained: 1) significant correlations existed between interest and concentration as well as between concentration and achievement, 2) no interaction effects on concentration existed between presentation mode and interest while interest alone had a significant effect on concentration, and 3) interaction effects on learning achievement existed between presentation mode and interest as well as between concentration and presentation mode. The research findings imply that visual presentation (e.g., video) is not always the best choice for m-learning, and the factors of concentration, interest, and presentation modes must be fully taken into consideration when selecting m-learning materials. The limitations and directions for future research were also presented. The interaction effects of interest and presentation mode on concentration and achievement of m-learning were investigated.Significant correlations existed between interest and concentration as well as between concentration and achievement.No interaction effects on concentration existed between presentation mode and interest.Interaction effects were identified between presentation mode and interest on learning achievement.Interaction effects were identified between concentration and presentation mode on learning achievement.

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

[2]  Stephan Schwan,et al.  Learning with videos vs. learning with print: The role of interactive features , 2011 .

[3]  Lili Zhang,et al.  Mobile Phone Technology Engagement in EFL Classroom , 2013, ICSE 2013.

[4]  Katharina Scheiter,et al.  Eye tracking as a tool to study and enhance multimedia learning , 2010 .

[5]  Jie-Chi Yang,et al.  Wireless and mobile technologies to enhance teaching and learning , 2003, J. Comput. Assist. Learn..

[6]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[7]  Sungho Kim,et al.  The educational use of home robots for children , 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..

[8]  Maomi Ueno Animated agent to maintain learner’s attention in e-learning , 2004 .

[9]  Maria Caterina Tornatora,et al.  An Eye-Tracking Study of Learning From Science Text With Concrete and Abstract Illustrations , 2013 .

[10]  Blanche W. O'Bannon,et al.  Cell Phones in the Classroom: Teachers’ Perspectives of Inclusion, Benefits, and Barriers , 2013 .

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

[12]  S. Davis Observations in classrooms using a network of handheld devices , 2003, J. Comput. Assist. Learn..

[13]  Wilfried Admiraal,et al.  Mobile game-based learning in secondary education: engagement, motivation and learning in a mobile city game , 2009, J. Comput. Assist. Learn..

[14]  Pei-Lin Liu,et al.  Using eye tracking to understand the responses of learners to vocabulary learning strategy instruction and use , 2014 .

[15]  William G. Griswold,et al.  Exploring the potential of mobile phones for active learning in the classroom , 2007, SIGCSE.

[16]  Tan-Hsu Tan,et al.  The mobile-based interactive learning environment (MOBILE) and a case study for assisting elementary school English learning , 2004, IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings..

[17]  Michael Tomasello,et al.  The Effect of Video Context on Foreign Language Learning , 1992 .

[18]  Ann C. Jones,et al.  Museum learning via social and mobile technologies: (How) can online interactions enhance the visitor experience? , 2012, Br. J. Educ. Technol..

[19]  Agnes Kukulska-Hulme and John Traxler Mobile teaching and learning , 2007 .

[20]  Kenny Smith,et al.  Cross-Situational Learning: An Experimental Study of Word-Learning Mechanisms , 2011, Cogn. Sci..

[21]  Michael Weber,et al.  Mobile learning - challenges and potentials , 2007, Int. J. Mob. Learn. Organisation.

[22]  P. Conrod,et al.  Structural, concurrent, and predictive validity of the Substance Use Risk Profile Scale in early adolescence. , 2011, Addictive behaviors.

[23]  LindquistDavid,et al.  Exploring the potential of mobile phones for active learning in the classroom , 2007 .

[24]  Tsung-Hsien Kuo,et al.  How can one amplify the effect of e-learning? An examination of high-tech employees' computer attitude and flow experience , 2010, Comput. Hum. Behav..

[25]  D. Altman,et al.  Statistics notes: Cronbach's alpha , 1997 .

[26]  Agnes Kukulska-Hulme,et al.  Mobile learning: a handbook for educators and trainers , 2005 .

[27]  Chi-Cheng Chang,et al.  Effects of presentation mode on mobile language learning: A performance efficiency perspective , 2012 .

[28]  Henry C. Lucas,et al.  The Impact of the Mode of Information Presentation on Learning and Performance , 1980 .

[29]  Norman W. Bray,et al.  Effects of instructions and retention interval on memory of presentation mode , 1972 .

[30]  R. Riding,et al.  The effect of cognitive style and mode of presentation on learning performance. , 1993, The British journal of educational psychology.

[31]  Marco Ronchetti,et al.  Where is Mobile Learning Going , 2003 .

[32]  Hsin-Chih Lai,et al.  The implementation of mobile learning in outdoor education: Application of QR codes , 2013, Br. J. Educ. Technol..

[33]  J. Jolles,et al.  Learning and retrieval rate of words presented auditorily and visually. , 1985, The Journal of general psychology.

[34]  Koula Charitonos Doctoral Student Museum learning via social and mobile technologies: (How) can online interactions enhance the visitor experience? , 2012 .

[35]  T. Brown Towards a model for m-learning in Africa , 2005 .

[36]  Hsiu-Li Liao,et al.  Impact of media richness and flow on e-learning technology acceptance , 2009, Comput. Educ..

[37]  Inmaculada Arnedillo-Sánchez,et al.  Mobile Learning [Guest editor's introduction] , 2007 .

[38]  Shengquan Yu,et al.  Effects of cooperative translation on Chinese EFL student levels of interest and self-efficacy in specialized English translation , 2016 .

[39]  Nadire Cavus,et al.  Improving critical thinking skills in mobile learning , 2009 .

[40]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[41]  B. Tversky,et al.  Effects of visual and verbal presentation on cognitive load in vigilance, memory, and arithmetic tasks. , 2011, Psychophysiology.

[42]  Ming-Chi Lee,et al.  Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model , 2010, Comput. Educ..

[43]  Daniel Churchill,et al.  Presentation design for "conceptual model" learning objects , 2014, Br. J. Educ. Technol..

[44]  Arianne M. Dantas,et al.  Promoting student-centered active learning in lectures with a personal response system. , 2009, Advances in physiology education.

[45]  Eric E. Smith,et al.  Interactive video: An examination of use and effectiveness , 1987 .

[46]  Radakovich Kristy Bradley,et al.  The Effects Of Presentation Mode And Pace On Learning Immunology With Computer Simulation A Cognitive Evaluation Of A Multimedia Learning Resource , 2011 .

[47]  Amarolinda Zanela Klein,et al.  Mobile Learning: Definition, Uses and Challenges , 2013 .

[48]  Gwo-Jen Hwang,et al.  Applications, impacts and trends of mobile technology-enhanced learning: a review of 2008-2012 publications in selected SSCI journals , 2014, Int. J. Mob. Learn. Organisation.

[49]  Christine T. Kydd,et al.  Managerial use of video conferencing , 1994, Inf. Manag..

[50]  Su-Houn Liu,et al.  APPLYING THE TECHNOLOGY ACCEPTANCE MODEL AND FLOW THEORY TO ONLINE E-LEARNING USERS' ACCEPTANCE BEHAVIOR , 2005 .

[51]  Mary T. Moser,et al.  Electronic reading and digital library technologies: understanding learner expectation and usage intent for mobile learning , 2014, Educational Technology Research and Development.

[52]  Peter Lonsdale,et al.  Mobile technologies and learning , 2004 .

[53]  Miguel Nussbaum,et al.  Face to face collaborative learning supported by mobile phones , 2009 .

[54]  J. Wine Test anxiety and direction of attention. , 1971, Psychological bulletin.

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

[56]  Luvai Motiwalla,et al.  Mobile learning: A framework and evaluation , 2007, Comput. Educ..

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

[58]  Chia-Chen Chen,et al.  Learning in a u-Museum: Developing a context-aware ubiquitous learning environment , 2012, Comput. Educ..

[59]  Joan Lu,et al.  User Centred Mobile Aided Learning System: Student Response System (SRS) , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

[60]  Yen-Ting Lin,et al.  An automatic group composition system for composing collaborative learning groups using enhanced particle swarm optimization , 2010, Comput. Educ..

[61]  J. Sweller COGNITIVE LOAD THEORY, LEARNING DIFFICULTY, AND INSTRUCTIONAL DESIGN , 1994 .

[62]  Jay F. Nunamaker,et al.  Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness , 2006, Inf. Manag..

[63]  Nian-Shing Chen,et al.  EFFECTS OF SHORT-TERM MEMORY AND CONTENT REPRESENTATION TYPE ON MOBILE LANGUAGE LEARNING , 2008 .

[64]  Derick M. Kiger,et al.  Mobile Technology , 2013 .

[65]  Richard E. Mayer,et al.  Unique Contributions of Eye-Tracking Research to the Study of Learning with Graphics , 2010 .

[66]  Cheryl A. Moredich,et al.  Engaging Students Through the Use of Classroom Response Systems , 2007, Nurse educator.

[67]  Sebastian Thomas The impact of Feedback Tone, Grammatical Person and Presentation Mode on Performance and Preference in a Computer-based Learning Task. , 2013 .

[68]  Kellah M. Edens The Interaction of Pedagogical Approach, Gender, Self-Regulation, and Goal Orientation Using Student Response System Technology , 2008 .

[69]  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..

[70]  Harry E. Pence,et al.  Smart Phones, a Powerful Tool in the Chemistry Classroom. , 2011 .

[71]  Y. Yang,et al.  Development and Evaluation of a Concentration Questionnaire for Students in Classroom , 2013 .

[72]  Sung Youl Park,et al.  An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning , 2009, J. Educ. Technol. Soc..

[73]  Gerhard Schwabe,et al.  Mobile learning with a mobile game: design and motivational effects , 2005, J. Comput. Assist. Learn..