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MOBILE LEARNING ADOPTION FROM 
INFORMAL INTO FORMAL: AN EXTENDED TAM 
MODEL TO MEASURE MOBILE ACCEPTANCE 
AMONG TEACHERS 
José Carlos Sánchez Prieto 
Susana Olmos Migueláñez 
Francisco J. García Peñalvo 
GRIAL Research Group 
Educational Research Institute 
University of Salamanca
INTRODUCTION
Introduction 
INFORMAL FORMAL 
• Contextual 
• Individualized 
• Situated 
• Autonomy 
• Communication 
• Anytime/Anywhere 
• All levels 
• PLEs, zero-paper, 
AR 
[12, 59, 64, 65]
Introduction 
SUCCESS TEACHERS TAM 
[8, 15, 56]
THE TAM MODEL 
ANTECEDENTS, EVOLUTION AND FUTURE LINES
Antecedents: TRA 
Propposed by Ajzen and Fishbane 
Attitude 
Subjective 
Norm 
Behavioral 
Intention 
Behavior 
• Behavioral intention: A person’s general feeling of favorableness 
or unfavorableness toward some stimulus object. 
• Subjective norm: The organizational or social pressure towards 
performing a determined behavior perceived by the individual 
[20]
Antecedents: TPB 
Attitude 
Subjective 
Norm 
Perceived 
Behavioral 
Control 
Behavioral 
Intention 
Behavior 
• Limitations with voluntariness 
• Perceived behavioral control: The organizational or social 
pressure towards performing a determined behavior perceived by 
the individual 
[2]
Characteristics and evolution 
Perceived 
Usefulness 
Perceived 
Ease of Use 
Attitude 
Towards Using 
Behavioral 
Intention 
Actual 
Use 
• Perceived usefulness: The degree to which a person believes that 
using a particular system would enhance his or her job 
performance. 
• Perceived ease of use: The degree to which a person believes that 
using a particular system would be free of effort. 
[15]
Characteristics and evolution 
Theoretical 
strength 
High percentage 
of the variance 
Simplicity 
No external 
variables 
Use of self-reports 
Exploratory 
studies 
[25, 34, 40]
Characteristics and evolution 
Inclusion of external precursors 
• Such as the working experience or the self-efficacy 
Incorporation of factors from other 
theories 
• In order to increment the predictive capacity 
Introduction of contextual factors 
• Such as gender, culture or features of the device. 
Measurement of final elements 
[34]
Characteristics and evolution 
TAM 2 
• Subjective 
norm 
• Previous 
experience 
• Voluntariness 
TAM 3 
• Anchor 
• Adjustment 
[67, 68]
Fields of application and future 
• Popular in the fields of commerce and ICTs 
• Also used in education and healthcare 
Individual variables 
Additional variables 
Actual use 
Elderly [44]
TAM AND EDUCATION
TAM applied to students 
Classroom-based 
formal education 
• Secondary and 
primary 
• Higher 
education 
eLearning and 
mLearning 
• Higher 
education 
• Lifelong learning
TAM applied to teachers 
Pre-service 
• Try to estimate the future acceptance 
• TAM and extended TAM 
In service 
• Becoming more important due to the 
fundamental role that they play in the 
process of the integration of IS
TAM in Spain 
• We can find some interesting research 
Higer education 
• Arteaga Sánchez 
and Duarte 
Hueros 
• Parra-Meroño and 
Carmona-Martínez 
• Padilla-Meléndez, 
Del Águila-Obra 
and Garrido- 
Moreno 
Lifelong learning 
• Roca and Cagné
AN EXTENDED TAM MODEL 
TO MEASURE MOBILE 
ACCEPTANCE
New constructs 
• Previous experience 
• One of the more efficient moderating factor 
• Previous experience of the subjects with the technologies in their 
daily life 
• Perceived enjoyment: 
• It is found within the motivational model of technology behavior 
(MM) 
• The degree in which the activity of using the technology is 
perceived as enjoyable, regardless of the consequences on the 
performance that can be anticipated 
• Subjective norm: 
• Comes from the TPB and 
• Considers the social and organizational pressure perceived by the 
teachers for the use of mobile technologies 
[34, 17, 16]
Constructs 
• Self-efficacy: 
• Comes from the social cognitive theory (Bandura) 
• Designates the assessment that a person makes 
about their own ability to adequately use the 
devices. 
• Facilitating conditions: 
• Integrated inside the unified theory of acceptance 
and use of technology (UTAUT) 
• Measures the perception of the individual of the 
resources at his disposal in order to support the 
behavior. 
[4, 25, 67]
Relationships 
Perceived 
Usefulness 
Previous 
Experience 
Preceived 
Enjoyment 
Self-efficacy 
Facilitating 
Conditions 
Subjective 
Norm 
Perceived 
Ease of Use 
Attitude Towards 
Using 
Behavioral 
Intention
Relationships 
Perceived 
Usefulness 
Previous 
Experience 
Preceived 
Enjoyment 
Self-efficacy 
Facilitating 
Conditions 
Subjective 
Norm 
Perceived 
Ease of Use 
Behavioral 
Intention
Instrument 
Divided in two sections 
• Identification data and a Likert-type scale 
Currently on validation 
Study on the acceptance of 
mobile technologies 
• By the primary education teachers of 
Castilla y León
C 
O 
N 
C 
L 
U 
S 
I 
O 
N 
S 
• MLearning is a methodological alternative, traditionally 
situated within the field of informal education, which is 
starting to be integrated in environments of formal 
education. 
• We consider that the knowledge of the attitudes of the 
teachers towards the mobile technologies is a key 
element to successfully guide the process of change 
• The TAM model is an efficient tool to evaluate the 
technological adoption, and it has been used in 
educational contexts, both with teachers and students, 
obtaining good results. 
• Our proposal consists in a theoretical model, elaborated 
after an extensive literature review that serves to explain 
the teachers’ adoption of mobile technologies.
THANK YOU FOR YOUR ATTENTION
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Mobile Learning Adoption from Informal into Formal: An Extended TAM Model to Measure Mobile Acceptance among Teachers

  • 1. MOBILE LEARNING ADOPTION FROM INFORMAL INTO FORMAL: AN EXTENDED TAM MODEL TO MEASURE MOBILE ACCEPTANCE AMONG TEACHERS José Carlos Sánchez Prieto Susana Olmos Migueláñez Francisco J. García Peñalvo GRIAL Research Group Educational Research Institute University of Salamanca
  • 3. Introduction INFORMAL FORMAL • Contextual • Individualized • Situated • Autonomy • Communication • Anytime/Anywhere • All levels • PLEs, zero-paper, AR [12, 59, 64, 65]
  • 5. THE TAM MODEL ANTECEDENTS, EVOLUTION AND FUTURE LINES
  • 6. Antecedents: TRA Propposed by Ajzen and Fishbane Attitude Subjective Norm Behavioral Intention Behavior • Behavioral intention: A person’s general feeling of favorableness or unfavorableness toward some stimulus object. • Subjective norm: The organizational or social pressure towards performing a determined behavior perceived by the individual [20]
  • 7. Antecedents: TPB Attitude Subjective Norm Perceived Behavioral Control Behavioral Intention Behavior • Limitations with voluntariness • Perceived behavioral control: The organizational or social pressure towards performing a determined behavior perceived by the individual [2]
  • 8. Characteristics and evolution Perceived Usefulness Perceived Ease of Use Attitude Towards Using Behavioral Intention Actual Use • Perceived usefulness: The degree to which a person believes that using a particular system would enhance his or her job performance. • Perceived ease of use: The degree to which a person believes that using a particular system would be free of effort. [15]
  • 9. Characteristics and evolution Theoretical strength High percentage of the variance Simplicity No external variables Use of self-reports Exploratory studies [25, 34, 40]
  • 10. Characteristics and evolution Inclusion of external precursors • Such as the working experience or the self-efficacy Incorporation of factors from other theories • In order to increment the predictive capacity Introduction of contextual factors • Such as gender, culture or features of the device. Measurement of final elements [34]
  • 11. Characteristics and evolution TAM 2 • Subjective norm • Previous experience • Voluntariness TAM 3 • Anchor • Adjustment [67, 68]
  • 12. Fields of application and future • Popular in the fields of commerce and ICTs • Also used in education and healthcare Individual variables Additional variables Actual use Elderly [44]
  • 14. TAM applied to students Classroom-based formal education • Secondary and primary • Higher education eLearning and mLearning • Higher education • Lifelong learning
  • 15. TAM applied to teachers Pre-service • Try to estimate the future acceptance • TAM and extended TAM In service • Becoming more important due to the fundamental role that they play in the process of the integration of IS
  • 16. TAM in Spain • We can find some interesting research Higer education • Arteaga Sánchez and Duarte Hueros • Parra-Meroño and Carmona-Martínez • Padilla-Meléndez, Del Águila-Obra and Garrido- Moreno Lifelong learning • Roca and Cagné
  • 17. AN EXTENDED TAM MODEL TO MEASURE MOBILE ACCEPTANCE
  • 18. New constructs • Previous experience • One of the more efficient moderating factor • Previous experience of the subjects with the technologies in their daily life • Perceived enjoyment: • It is found within the motivational model of technology behavior (MM) • The degree in which the activity of using the technology is perceived as enjoyable, regardless of the consequences on the performance that can be anticipated • Subjective norm: • Comes from the TPB and • Considers the social and organizational pressure perceived by the teachers for the use of mobile technologies [34, 17, 16]
  • 19. Constructs • Self-efficacy: • Comes from the social cognitive theory (Bandura) • Designates the assessment that a person makes about their own ability to adequately use the devices. • Facilitating conditions: • Integrated inside the unified theory of acceptance and use of technology (UTAUT) • Measures the perception of the individual of the resources at his disposal in order to support the behavior. [4, 25, 67]
  • 20. Relationships Perceived Usefulness Previous Experience Preceived Enjoyment Self-efficacy Facilitating Conditions Subjective Norm Perceived Ease of Use Attitude Towards Using Behavioral Intention
  • 21. Relationships Perceived Usefulness Previous Experience Preceived Enjoyment Self-efficacy Facilitating Conditions Subjective Norm Perceived Ease of Use Behavioral Intention
  • 22. Instrument Divided in two sections • Identification data and a Likert-type scale Currently on validation Study on the acceptance of mobile technologies • By the primary education teachers of Castilla y León
  • 23. C O N C L U S I O N S • MLearning is a methodological alternative, traditionally situated within the field of informal education, which is starting to be integrated in environments of formal education. • We consider that the knowledge of the attitudes of the teachers towards the mobile technologies is a key element to successfully guide the process of change • The TAM model is an efficient tool to evaluate the technological adoption, and it has been used in educational contexts, both with teachers and students, obtaining good results. • Our proposal consists in a theoretical model, elaborated after an extensive literature review that serves to explain the teachers’ adoption of mobile technologies.
  • 24. THANK YOU FOR YOUR ATTENTION
  • 25. References 1. Abbad, M. M., Morris, D. and de Nahlik, C. 2009. Looking under the Bonnet: Factors Affecting Student Adoption of E-Learning Systems in Jordan. International Review of Research in Open and Distance Learning, 10, 2 (Apr. 2009), 6-30. 2. Ajzen, I. 1985. From Intentions to Actions: A Theory of Planned Behavior. In Action Control From Cognition to Behavior, Kuhl, J. and Beckmann, J. eds.Springer Berlin Heidelberg, 11-39. 3. Al-Debei, M. M. 2014. The quality and acceptance of websites: An empirical investigation in the context of higher education. International Journal of Business Information Systems, 15, 2 (Feb. 2014), 170-188. 4. Bandura, A. 1978. Self-Efficacy: Toward a Unifying Theory of Behavior Change. Psychol. Rev. 84, 2, 191-215. 5. Beschorner, B. and Hutchison, A. 2013. iPads as a Literacy Teaching Tool in Early Childhood. International Journal of Education in Mathematics, Science and Technology, 1, 1 (Jan. 2013), 16-24. 6. Bourgonjon, J., De Grove, F., De Smet, C., Van Looy, J., Soetaert, R. and Valcke, M. 2013. Acceptance of game-based learning by secondary school teachers. Comput. Educ., 67, 0 (Sep. 2013), 21-35. DOI=http://dx.doi.org/10.1016/j.compedu.2013.02.010. 7. Buchanan, T., Sainter, P. and Saunders, G. 2013. Factors affecting faculty use of learning technologies: Implications for models of technology adoption. Journal of Computing in Higher Education, 25, 1 (Apr. 2013), 1-11. 8. Chen, F., Looi, C. and Chen, W. 2009 Integrating technology in the classroom: a visual conceptualization of teachers' knowledge, goals and beliefs. J. Comput. Assisted Learn., 25, 5 (Jul. 2009), 470-488. DOI=10.1111/j.1365-2729.2009.00323.x 9. Chen, H. and Tseng, H. 2012. Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan. Eval. Program Plann., 35, 3 (Aug. 2012), 398-406. 10. Chen, L., Gillenson, M. L. and Sherrell, D. L. 2002. Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39, 8 (Sep. 2002), 705-719. DOI=http://dx.doi.org/10.1016/S0378-7206(01)00127-6. 11. Chen, Y., Lin, Y., Yeh, R. C. and Lou, S. 2013. Examining factors affecting college students' intention to use web-based instruction systems: Towards an integrated model. Turkish Online Journal of Educational Technology, 12, 2 (Apr. 2013), 111-121. 12. Cochrane, T. D. 2011. Beyond the Yellow Brick Road: Mobile Web 2.0 Informing a New Institutional E-Learning Strategy. Journal of Asynchronous Learning Networks, 15, 4 (Nov. 2011), 60-68. 13. Conde González, M. Á, García Peñalvo, F. J., Alier, M. and Piguillem, J. 2013. The Implementation, Deployment and Evaluation of a Mobile Personal Learning Environment. Journal of Universal Computer Science, 19, 7 (Jan 2013), 854-872. 14. Davis, F. D. 1986. A technology acceptance model for empirically testing new end-user information systems : theory and results. Doctoral Thesis. Massachusetts Institute of Technology. 15. Davis, F. D. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 3 (Sep. 1989), 319-340
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