IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i23p13222-d690728.html
   My bibliography  Save this article

Factors Influencing the Acceptance of Mobile Collaborative Learning for the Continuous Professional Development of Teachers

Author

Listed:
  • Nisar Ahmed Dahri

    (Faculty of Science, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah 67480, Pakistan)

  • Muhammad Saleem Vighio

    (Faculty of Science, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah 67480, Pakistan)

  • Jairam Das Bather

    (Faculty of Science, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah 67480, Pakistan)

  • Aijaz Ahmed Arain

    (Faculty of Science, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah 67480, Pakistan)

Abstract

The COVID-19 epidemic has not only triggered a worldwide health catastrophe, it has also affected learning processes all over the world. While COVID-19 was in its initial wave of transmission, educational systems around the world witnessed bitter experiences in the form of the closure of institutes or a shift to distance (or online) learning techniques. The delivery of quality education was affected the most where the educational system was already weak due to the unavailability of effective teachers’ professional development programs and the lack of the integration of technology. This study extends the conventional continuous professional development (CPD) model of in-service teachers adopted in the province of Sindh, Pakistan. The extensions are based on the integration of mobile technology and support for collaborative learning and ongoing assistance, which are missed in the current traditional model. To assess the acceptance and use of the app, an Mobile collaborative learning (MCL) based CPD acceptance framework is designed by combining chosen components from a generally recognized Unified theory of acceptance and use of technology (UTAUT2) and other well-recognized acceptance models for the acceptance and use of the technology. In the context of CPD, a total of 14 constructs have been selected which include performance expectancy; effort expectancy; facilitating conditions; hedonic motivation; mobility; knowledge acquisition; content and information quality; on-the-job support; reward; behavioral intention; engagement; interactivity with peer & experts; self-management and collaborative learning. Based on these constructs; a total of 13 hypotheses were developed with 55 measurement items. A total of 494 teachers participated in a two-week training session using the designed app. Based on the activity, a questionnaire was designed and distributed among the participants using WhatsApp groups during the academic year of 2021–2022. Out of 494 participants; 472 participants correctly filled in the questionnaires, which were selected for analysis. The data was analyzed using IBM SPSS version 21; and, for Structural Equation Modeling (SEM) analysis, IBM AMOS version 21 was used. According to the results, all thirteen hypotheses were found statistically significant showing the positive impact on the acceptance and use of the CPD app. The results of this study promote teachers’ and experts’ engagement and participation in CPD activities which not only improve the knowledge and skills of the learners but also impact their long-term professional development and success. This research may help the teachers’ training and related institutions to make better choices and develop a mobile collaborative learning system for school-based teacher support and training programs. As a basis, this study may also be used in other provinces of Pakistan and beyond to make it a CPD standard.

Suggested Citation

  • Nisar Ahmed Dahri & Muhammad Saleem Vighio & Jairam Das Bather & Aijaz Ahmed Arain, 2021. "Factors Influencing the Acceptance of Mobile Collaborative Learning for the Continuous Professional Development of Teachers," Sustainability, MDPI, vol. 13(23), pages 1-23, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13222-:d:690728
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/23/13222/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/23/13222/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Selen Balkaya & Ulas Akkucuk, 2021. "Adoption and Use of Learning Management Systems in Education: The Role of Playfulness and Self-Management," Sustainability, MDPI, vol. 13(3), pages 1-27, January.
    2. Ministry of Human Resource Development, GOI, 2020. "National Education Policy 2020," Working Papers id:13106, eSocialSciences.
    3. Wilert Puriwat & Suchart Tripopsakul, 2021. "Explaining Social Media Adoption for a Business Purpose: An Application of the UTAUT Model," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    4. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    5. Ali Mugahed Al-Rahmi & Waleed Mugahed Al-Rahmi & Uthman Alturki & Ahmed Aldraiweesh & Sultan Almutairy & Ahmad Samed Al-Adwan, 2021. "Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nisar Ahmed Dahri & Waleed Mugahed Al-Rahmi & Abeer S. Almogren & Noraffandy Yahaya & Muhammad Saleem Vighio & Qusay Al-maatuok & Ali Mugahed Al-Rahmi & Ahmad Samed Al-Adwan, 2023. "Acceptance of Mobile Learning Technology by Teachers: Influencing Mobile Self-Efficacy and 21st-Century Skills-Based Training," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    2. Fang Wang & Tommy Tanu Wijaya & Akhmad Habibi & Yixuan Liu, 2022. "Predictors Influencing Urban and Rural Area students to Use Tablet Computers as Learning Tools: Combination of UTAUT and TTF Models," Sustainability, MDPI, vol. 14(21), pages 1-22, October.
    3. Zhiqiang Yuan & Jing Liu & Xi Deng & Tianzi Ding & Tommy Tanu Wijaya, 2023. "Facilitating Conditions as the Biggest Factor Influencing Elementary School Teachers’ Usage Behavior of Dynamic Mathematics Software in China," Mathematics, MDPI, vol. 11(6), pages 1-18, March.
    4. Ahlam Mohammed Al-Abdullatif & Merfat Ayesh Alsubaie, 2022. "Using Digital Learning Platforms for Teaching Arabic Literacy: A Post-Pandemic Mobile Learning Scenario in Saudi Arabia," Sustainability, MDPI, vol. 14(19), pages 1-20, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nisar Ahmed Dahri & Waleed Mugahed Al-Rahmi & Abeer S. Almogren & Noraffandy Yahaya & Muhammad Saleem Vighio & Qusay Al-maatuok & Ali Mugahed Al-Rahmi & Ahmad Samed Al-Adwan, 2023. "Acceptance of Mobile Learning Technology by Teachers: Influencing Mobile Self-Efficacy and 21st-Century Skills-Based Training," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    2. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    3. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    4. repec:dgr:rugsom:04f04 is not listed on IDEAS
    5. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    6. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    7. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    8. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    9. McLean, Graeme & Osei-Frimpong, Kofi & Al-Nabhani, Khalid & Marriott, Hannah, 2020. "Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective," Journal of Business Research, Elsevier, vol. 106(C), pages 139-157.
    10. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.
    11. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    12. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    13. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    14. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    15. Domina, Tanya & Lee, Seung-Eun & MacGillivray, Maureen, 2012. "Understanding factors affecting consumer intention to shop in a virtual world," Journal of Retailing and Consumer Services, Elsevier, vol. 19(6), pages 613-620.
    16. Hamari, Juho & Koivisto, Jonna, 2015. "Why do people use gamification services?," International Journal of Information Management, Elsevier, vol. 35(4), pages 419-431.
    17. Damon E. Campbell & John D. Wells & Joseph S. Valacich, 2013. "Breaking the Ice in B2C Relationships: Understanding Pre-Adoption E-Commerce Attraction," Information Systems Research, INFORMS, vol. 24(2), pages 219-238, June.
    18. Samadzad, Mahdi & Nosratzadeh, Hossein & Karami, Hossein & Karami, Ali, 2023. "What are the factors affecting the adoption and use of electric scooter sharing systems from the end user's perspective?," Transport Policy, Elsevier, vol. 136(C), pages 70-82.
    19. Khalil Moghaddam, B. & Khatoon-Abadi, A., 2013. "Factors affecting ICT adoption among rural users: A case study of ICT Center in Iran," Telecommunications Policy, Elsevier, vol. 37(11), pages 1083-1094.
    20. Mariani, Marcello M. & Ek Styven, Maria & Teulon, Fréderic, 2021. "Explaining the intention to use digital personal data stores: An empirical study," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    21. Arif Hasan & S. K. Gupta, 2020. "Exploring Tourists’ Behavioural Intentions Towards Use of Select Mobile Wallets for Digital Payments," Paradigm, , vol. 24(2), pages 177-194, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13222-:d:690728. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.