Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study
暂无分享,去创建一个
Sanjay Misra | Sheshadri Chatterjee | Robertas Damaševičius | Dipasree Majumdar | Sheshadri Chatterjee | Robertas Damaševičius | S. Misra | Dipasree Majumdar
[1] William H. Ross,et al. MULTIPLE MEANINGS OF TRUST IN NEGOTIATION THEORY AND RESEARCH: A LITERATURE REVIEW AND INTEGRATIVE MODEL , 1996 .
[2] L. Krabbendam,et al. Girls-Boys: An Investigation of Gender Differences in the Behavioral and Neural Mechanisms of Trust and Reciprocity in Adolescence , 2019, Front. Hum. Neurosci..
[3] R. Kline. Principles and practice of structural equation modeling, 4th ed. , 2016 .
[4] N. Santoro,et al. ‘Sensible girls’ and ‘silly boys’: what do teachers need to know about gender? , 2014 .
[5] Yogesh Kumar Dwivedi,et al. An empirical validation of a unified model of electronic government adoption (UMEGA) , 2017, Gov. Inf. Q..
[6] Robertas Damasevicius,et al. Characteristics of Domain Ontologies for Web Based Learning and their Application for Quality Evaluation , 2009, Informatics Educ..
[7] E. Pramana. Determinants of the Adoption of Mobile Learning Systems among University Students in Indonesia , 2018, J. Inf. Technol. Educ. Res..
[8] Wouter Duyck,et al. Predicting secondary school teachers' acceptance and use of a digital learning environment: A cross-sectional study , 2011, Comput. Hum. Behav..
[9] Michail Kalogiannakis,et al. Designing and creating an educational app rubric for preschool teachers , 2017, Education and Information Technologies.
[10] Albert H. Segars,et al. Re-examining perceived ease of use and usefulness , 1993 .
[11] R. Maskeliunas,et al. Designing an educational music game for digital game based learning: A Lithuanian case study , 2018, 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).
[12] Younghee Noh,et al. A study on the effect of digital literacy on information use behavior , 2017, J. Libr. Inf. Sci..
[13] F. Ihmeideh,et al. The use of touch-screen tablets in early childhood: Children's knowledge, skills, and attitudes towards tablet technology , 2018 .
[14] Shin-Yuan Hung,et al. Determinants of user acceptance of the e-Government services: The case of online tax filing and payment system , 2006, Gov. Inf. Q..
[15] Anurag Tiwari,et al. Study on the Higher Education in India and the Need for a Paradigm Shift , 2014 .
[16] Ahmad Abu-Al-Aish,et al. International of Research in Open and Distributed Learning Factors Influencing Students’ Acceptance of M-Learning: An Investigation in Higher Education , 2022 .
[17] Julia Metag,et al. Technophobia towards emerging technologies? A comparative analysis of the media coverage of nanotechnology in Austria, Switzerland and Germany , 2014 .
[18] Alain Yee-Loong Chong,et al. Structural equation modeling for multi-stage analysis on Radio Frequency Identification (RFID) diffusion in the health care industry , 2012, Expert Syst. Appl..
[19] Vytautas Štuikys,et al. Context-Aware Generative Learning Objects for Teaching Computer Science* , 2014 .
[20] Jeffrey Mervis,et al. Plenty of Challenges for All , 2013 .
[21] Richard Badger,et al. Introducing tablet computers to a rural primary school: An Activity Theory case study , 2020, Comput. Educ..
[22] Wynne W. Chin,et al. Handbook of Partial Least Squares , 2010 .
[23] James H. Steiger,et al. Understanding the limitations of global fit assessment in structural equation modeling , 2007 .
[24] Mari Karm,et al. Novice university teachers' professional learning: to follow traditions or change them? , 2012 .
[25] Dong-Hee Shin,et al. An acceptance model for smart watches: Implications for the adoption of future wearable technology , 2015, Internet Res..
[26] P. Duncan,et al. Lessons from using iPads to understand young children’s creativity , 2016 .
[27] Michail Kalogiannakis,et al. Using Mobile Devices for Teaching Realistic Mathematics in Kindergarten Education , 2013 .
[28] Newlin Marongwe,et al. Teachers’ Perceptions of Adopting Information and Communication Technologies in Teaching and Learning at Rural Secondary Schools in Eastern Cape, South Africa , 2020, Africa Education Review.
[29] Luisa Mich,et al. Mobile Applications in University Education: the case of Kenya , 2018 .
[30] G. Cifuentes. Educational governance and innovation: Technology as end and means of government , 2015 .
[31] Ahmad Samed Al-Adwan,et al. Modeling Students’ Readiness to Adopt Mobile Learning in Higher Education: An Empirical Study , 2018 .
[32] Viswanath Venkatesh,et al. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..
[33] D. Sharma,et al. Factors influencing the intention to use of mobile value‐added services by women‐owned microenterprises in Fiji , 2018, Electron. J. Inf. Syst. Dev. Ctries..
[34] H. Abdi. Partial least squares regression and projection on latent structure regression (PLS Regression) , 2010 .
[35] Oscar Gutierrez,et al. Information technology acceptance in the social services sector context: an exploration. , 2007, Social work.
[36] Susan McLaren,et al. Natural Partners Project: Learning for Sustainability , 2014 .
[37] A. Terkawi,et al. Guidelines for developing, translating, and validating a questionnaire in perioperative and pain medicine , 2017, Saudi journal of anaesthesia.
[38] Ting-Yi Lu,et al. Modeling E-Coupon Proneness as a Mediator in the Extended TPB Model to Predict Consumers' Usage Intentions , 2011, Internet Res..
[39] Mark de Reuver,et al. Mobile Payment: The Hiding Impact of Learning Costs on User Intentions , 2020, J. Theor. Appl. Electron. Commer. Res..
[40] Anuja Shukla,et al. Evaluating Consumers’ Adoption of Mobile Technology for Grocery Shopping: An Application of Technology Acceptance Model , 2018 .
[41] Ai-zhen Xie. Analysis of the virtual learning community user adoption behavior based on perceived risk , 2017 .
[42] C. Evans,et al. A ‘home-international’ comparative analysis of widening participation in UK higher education , 2019 .
[43] Josivania Silva Farias,et al. Adoption of Technology for Reading Purposes: A Study of E-Books Acceptance , 2018, Brazilian Business Review.
[44] Rytis Maskeliunas,et al. Artificial Intelligence, Smart Classrooms and Online Education in the 21st Century: Implications for Human Development , 2019, J. Cases Inf. Technol..
[45] Stephen Asunka. Instructor Perceptions and Intentions to Use a Tablet PC for Mobile Learning in a Ghanaian University: An Exploratory Case Study , 2016 .
[46] Nicholas Zaranis. The use of ICT in kindergarten for teaching addition based on realistic mathematics education , 2014, Education and Information Technologies.
[47] P. Wild,et al. Education and information technologies , 1997 .
[48] Tinashe Chuchu,et al. An Examination of the Determinants of the Adoption of Mobile Applications as Learning Tools for Higher Education Students , 2019, Int. J. Interact. Mob. Technol..
[49] Khaled A. Alshare,et al. Predicting Student-Perceived Learning Outcomes and Satisfaction in ERP Courses: An Empirical Investigation , 2011, Commun. Assoc. Inf. Syst..
[50] Seng Chee Lim,et al. An Empirical Investigation on Adoption of ICT into Teaching based on Gender Differences , 2019 .
[51] Rex B. Kline,et al. Principles and Practice of Structural Equation Modeling , 1998 .
[52] Xinghua Wang,et al. Bridging Knowledge Divides Utilizing Cloud Computing Learning Resources in Underfunded Schools: Investigating the Determinants , 2019 .
[53] Pao-Nan Chou,et al. Using a Tablet Computer Application to Advance High School Students’ Laboratory Learning Experiences: A Focus on Electrical Engineering Education , 2019, Sustainability.
[54] Cees A. W. Glas,et al. Tablet assessment in primary education: Are there performance differences between TIMSS' paper-and-pencil test and tablet test among Dutch grade-four students? , 2020, Br. J. Educ. Technol..
[55] Robertas Damaševičius,et al. Hybrid Mobile Learning Architecture for Higher Education , 2018 .
[56] I. Ajzen,et al. The Influence of Attitudes on Behavior , 2005 .
[57] Kleopatra Nikolopoulou,et al. Secondary education teachers’ perceptions of mobile phone and tablet use in classrooms: benefits, constraints and concerns , 2020 .
[58] Gary Garrison,et al. Investigating mobile wireless technology adoption: An extension of the technology acceptance model , 2009, Inf. Syst. Frontiers.
[59] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[60] Madhurima Deb,et al. An empirical examination of customers’ adoption of m-banking in India , 2014 .
[61] W. R. Dillon,et al. A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models , 2005 .
[62] Trevor Hastie,et al. An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.
[63] Renata Burbaite,et al. Model for introducing STEM1into high school computer science education , 2017 .
[64] R. Smyth,et al. Enhancing learning outcomes through group work in an internationalised undergraduate business education context , 2010 .
[65] G. Bosworth,et al. Rural development in the digital age: A systematic literature review on unequal ICT availability, adoption, and use in rural areas , 2017 .
[66] Xiaojun Zhang,et al. Household technology adoption in a global marketplace: Incorporating the role of espoused cultural values , 2008, Inf. Syst. Frontiers.
[67] Gary Tse,et al. Examining Consumers’ Adoption of Wearable Healthcare Technology: The Role of Health Attributes , 2019, International journal of environmental research and public health.
[68] Robertas Damasevicius,et al. Towards a Conceptual Model of Learning Context in E-learning , 2009, 2009 Ninth IEEE International Conference on Advanced Learning Technologies.
[69] Ciprian-Bogdan Chirila,et al. Designing E-Learning Content Using AGLOs , 2019, 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC).
[70] Ned Kock,et al. Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations , 2012, J. Assoc. Inf. Syst..
[71] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[72] Kimberly A. Patton. Teens and Technology , 2011 .
[73] M. Conner,et al. Predicting health behaviour : research and practice with social cognition models , 2005 .
[74] Nils Urbach,et al. Structural Equation Modeling in Information Systems Research Using Partial Least Squares , 2010 .
[75] S. Avsec,et al. Science and Technology Education in Slovenian Compulsory Basic School: Possibilities for Gifted Education , 2018 .
[76] Alcardo Alex Barakabitze,et al. Transforming African Education Systems in Science, Technology, Engineering, and Mathematics (STEM) Using ICTs: Challenges and Opportunities , 2019, Education Research International.
[77] B. Mahembe,et al. Factors influencing student usage of an online learning community: the case of a rural South African university , 2017 .
[78] Jianjun Tang,et al. ICT adoption and income diversification among rural households in China , 2020, Applied Economics.
[79] Su Luan Wong,et al. Factors Influencing The Behavioural Intention To Use The Internet As A Teaching-learning Tool In Home Economics , 2012 .
[80] Wally Smith,et al. Tablet computers in Philippine public schools: school-level factors that influence technology management and use , 2019, Technology, Pedagogy and Education.
[81] Michael Kremer,et al. The Challenge of Education and Learning in the Developing World , 2013, Science.
[82] James M. Ernest,et al. Preschool Children’s Exposure to Media, Technology, and Screen Time: Perspectives of Caregivers from Three Early Childcare Settings , 2016 .
[83] Shah Jahan Miah,et al. Smart education literature: A theoretical analysis , 2020, Education and Information Technologies.