Volume 8, Issue 5 (May 2021), Pages: 1-13
----------------------------------------------
Original Research Paper
Title: Challenges facing students to adopting the blackboard system: The case study of the University of Ha’il in Saudi Arabia
Author(s): Ayman N. Alkhaldi 1, *, Mouez Ali 2, Shawky Mohamed Mahmoud 2, Zeyad A. Alrefai 1, Younès Bahou 2
Affiliation(s):
1Management Information Systems Department, Community College, University of Hail, Hail, Saudi Arabia
2Computer Sciences Department, Community College, University of Hail, Hail, Saudi Arabia
Full Text - PDF XML
* Corresponding Author.
Corresponding author's ORCID profile: https://orcid.org/0000-0002-4292-6771
Digital Object Identifier:
https://doi.org/10.21833/ijaas.2021.05.001
Abstract:
This study seeks to identify the challenges facing students through the adoption of a blackboard system at the University of Ha’il in the KSA. Though the blackboard system has an effective role in the educational context, the adoption of the learning system in educational institutes is still in its infancy. However, students face various types of challenges that could affect their adoption and usage of the blackboard system. The previous researches on blackboard systems produced general rules, and studied a lot of common factors, did not consider the specific human factors. This study uses a quantitative research method. An online survey questionnaire was employed for data collection. For data analysis, SPSS was used for descriptive analysis; Structural equation modeling using AMOS software was applied. The results confirmed that the user’s LMS experience leaves a positive effect on the perception of the usefulness of the Blackboard system, but not computer anxiety. In addition, user’s LMS experience has a moderating effect on the relationship between self-efficacy and their perception of the usefulness of the Blackboard system. This moderating effect reflects that the more student’s LMS experience is the more affected their computer self-efficacy to perceive the Blackboard system more useful. This study produces theoretical and practical implications, and recommendations for the University of Ha’il should move forward with a learning platform.
© 2021 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Blackboard system, Electronic learning, Technology adoption, Challenges, Learning management system
Article History: Received 2 August 2020, Received in revised form 19 November 2020, Accepted 14 January 2021
Acknowledgment
This research has been funded by Scientific Research Deanship at the University of Ha'il–Saudi Arabia through project number RG-191341.
Compliance with ethical standards
Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Citation:
Alkhaldi AN, Ali M, and Mahmoud SM et al. (2021). Challenges facing students to adopting the blackboard system: The case study of the University of Ha’il in Saudi Arabia. International Journal of Advanced and Applied Sciences, 8(5): 1-13
Permanent Link to this page
Figures
Fig. 1
Tables
Table 1 Table 2 Table 3 Table 4 Table 5
----------------------------------------------
References (60)
- Abbad M, Morris D, and Al-Ayyoub AE (2009). Students’ decisions to use an elearning system: A structural equation modelling analysis. International Journal of Emerging Technologies in Learning, 4(4): 4-13. https://doi.org/10.3991/ijet.v4i4.928 [Google Scholar]
- Abdel-Jaber H (2017). Experimental analysis of students’ satisfaction factors in e-learning environment: A case study on Saudi Arabian university. Journal of Information and Knowledge Management, 16(02): 1750018. https://doi.org/10.1142/S0219649217500186 [Google Scholar]
- Abdullah F, Ward R, and Ahmed E (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in Human Behavior, 63: 75-90. https://doi.org/10.1016/j.chb.2016.05.014 [Google Scholar]
- Ahmed AYM (2016). Using technology acceptance model in understanding academics' behavioral intention to use blackboard learning management system. European Journal of Business and Management, 8(33): 170-178. [Google Scholar]
- Alenezi AR and Karim A (2010). An empirical investigation into the role of enjoyment, computer anxiety, computer self-efficacy and internet experience in influencing the students' intention to use e-learning: A case study from Saudi Arabian governmental universities. Turkish Online Journal of Educational Technology-TOJET, 9(4): 22-34. [Google Scholar]
- Al-Gahtani SS (2016). Empirical investigation of e-learning acceptance and assimilation: A structural equation model. Applied Computing and Informatics, 12(1): 27-50. https://doi.org/10.1016/j.aci.2014.09.001 [Google Scholar]
- Alharbi S and Drew S (2014). Using the technology acceptance model in understanding academics’ behavioural intention to use learning management systems. International Journal of Advanced Computer Science and Applications, 5(1): 143-155. https://doi.org/10.14569/IJACSA.2014.050120 [Google Scholar]
- Al-Hujran O, Al-Lozi E, and Al-Debei MM (2014). Get ready to mobile learning: Examining factors affecting college students' behavioral intentions to use m-learning in Saudi Arabia. Jordan Journal of Business Administration, 10(1): 111-128. https://doi.org/10.12816/0026186 [Google Scholar]
- Alia A (2017). An investigation of the application of the technology acceptance model (TAM) to evaluate instructors’ perspectives on e-learning at Kuwait University. Ph.D. Dissertation, Dublin City University, Dublin, Ireland. [Google Scholar]
- Alkhaldi AN and Abualkishik AM (2019). The mobile blackboard system in higher education: Discovering benefits and challenges facing students. International Journal of Advanced and Applied Sciences, 6(6): 6-14. https://doi.org/10.21833/ijaas.2019.06.002 [Google Scholar]
- AlKurdi B, Alshurideh M, Salloum S, Obeidat Z, and Al-dweeri R (2020). An empirical investigation into examination of factors influencing university students’ behavior towards e-learning acceptance using SEM approach. International Journal of Interactive Mobile Technologies, 14(2): 19-41. https://doi.org/10.3991/ijim.v14i02.11115 [Google Scholar]
- AlMeajel TM and Sharadgah TA (2018). Barriers to using the blackboard system in teaching and learning: Faculty perceptions. Technology, Knowledge and Learning, 23(2): 351-366. https://doi.org/10.1007/s10758-017-9323-2 [Google Scholar]
- Alokluk JA (2018). The effectiveness of blackboard system, uses and limitations in information management. Intelligent Information Management, 10(6): 133-149. https://doi.org/10.4236/iim.2018.106012 [Google Scholar]
- Alshammari SH, Ali MB, and Rosli MS (2016). The influences of technical support, self-efficacy and instructional design on the usage and acceptance of LMS: A comprehensive review. Turkish Online Journal of Educational Technology-TOJET, 15(2): 116-125. [Google Scholar]
- Alsuwailem RI (2018). Factors affecting faculty's intent to use e-learning systems at a university in the Kingdom of Saudi Arabia. Ph.D. Dissertation, Eastern Michigan University, Ypsilanti, USA. [Google Scholar]
- Asiimwe E and Gronlund A (2015). MLCMS actual use, perceived use, and experiences of use. International Journal of Education and Development Using ICT, 11(1): 101-121. [Google Scholar]
- Badwelan A, Drew S, and Bahaddad AA (2016). Towards acceptance m-learning approach in higher education in Saudi Arabia. International Journal of Business and Management, 11(8): 12-30. https://doi.org/10.5539/ijbm.v11n8p12 [Google Scholar]
- Bagozzi P and Yi Y (1991). Multitrait-multimethod matrices in consumer research. Journal of Consumer Research, 17(4): 426-439. https://doi.org/10.1086/208568 [Google Scholar]
- Binyamin S, Rutter M, and Smith S (2017). Factors influencing the students' use of learning management systems: A case study of King Abdulaziz University. In the International Conference on e-Learning, Academic Conferences International Limited, Orlando, USA: 289-297. https://doi.org/10.21125/inted.2017.2205 [Google Scholar]
- Binyamin SS, Rutter M, and Smith S (2019). Extending the technology acceptance model to understand students’ use of learning management systems in Saudi higher education. International Journal of Emerging Technologies in Learning (IJET), 14(03): 4-21. https://doi.org/10.3991/ijet.v14i03.9732 [Google Scholar]
- Binyamin SS, Rutter MJ, and Smith S (2018). The influence of computer self-efficacy and subjective norms on the students’ use of learning management systems at King Abdulaziz University. International Journal of Information and Education Technology, 8(10): 693-699. https://doi.org/10.18178/ijiet.2018.8.10.1124 [Google Scholar]
- Boateng R, Mbrokoh AS, Boateng L, Senyo PK, and Ansong E (2016). Determinants of e-learning adoption among students of developing countries. The International Journal of Information and Learning Technology, 33(4): 248-262. https://doi.org/10.1108/IJILT-02-2016-0008 [Google Scholar]
- Boshielo A (2014). The impact of blackboard learn as a learning management system (LMS) for University of Limpopo students. M.Sc. Thesis, University of Limpopo, Limpopo Province, South Africa. [Google Scholar]
- Byrne BM (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming. 2nd Edition, Routledge Taylor & Francis Group, New York. [Google Scholar]
- Chang CS, Liu EZF, Sung HY, Lin CH, Chen NS, and Cheng SS (2014). Effects of online college student’s Internet self-efficacy on learning motivation and performance. Innovations in education and teaching international, 51(4): 366-377. https://doi.org/10.1080/14703297.2013.771429 [Google Scholar]
- Chang CT, Hajiyev J, and Su CR (2017). Examining the students’ behavioral intention to use e-learning in Azerbaijan? The general extended technology acceptance model for e-learning approach. Computers and Education, 111: 128-143. https://doi.org/10.1016/j.compedu.2017.04.010 [Google Scholar]
- Contrado J (2016). Five potential barriers to LMS usage. M.Sc. Thesis, University of Massachusetts, Boston, USA. [Google Scholar]
- Davis FD (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3): 319-340. https://doi.org/10.2307/249008 [Google Scholar]
- Elkaseh AM, Wong KW, and Fung CC (2015). The acceptance of e-learning as a tool for teaching and learning in Libyan higher education. International Journal of Information Technology, 3(4): 1-11. [Google Scholar]
- Fathema N, Shannon D, and Ross M (2015). Expanding the technology acceptance model (TAM) to examine faculty use of learning management systems (LMSs) in higher education institutions. Journal of Online Learning and Teaching, 11(2): 210-232. [Google Scholar]
- Granić A and Marangunić N (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5): 2572-2593. https://doi.org/10.1111/bjet.12864 [Google Scholar]
- Hair JF, Black WC, Babin BJ, and Anderson RE (2010). Multivariate data analysis: A global perspective. 7th Edition, Pearson Education, Upper Saddle River, USA. [Google Scholar]
- Han I and Shin WS (2016). The use of a mobile learning management system and academic achievement of online students. Computers and Education, 102: 79-89. https://doi.org/10.1016/j.compedu.2016.07.003 [Google Scholar]
- Hanif A, Jamal FQ, and Imran M (2018). Extending the technology acceptance model for use of e-learning systems by digital learners. IEEE Access, 6: 73395-73404. https://doi.org/10.1109/ACCESS.2018.2881384 [Google Scholar]
- Haryanto H and Kultsum HU (2016). E-learning program adoption: Technology acceptance model approach. In the International Conference on Teacher Training and Education, Surakarta, Indonesia, 2(1): 616-622. [Google Scholar]
- Jawad HHM and Hassan ZB (2015). Applying UTAUT to evaluate the acceptance of mobile learning in higher education in Iraq. International Journal of Science and Research, 4(5): 952-954. [Google Scholar]
- Kaliisa R and Picard M (2017). A systematic review on mobile learning in higher education: The African perspective. TOJET: The Turkish Online Journal of Educational Technology, 16(1): 1-18. [Google Scholar]
- Kanwal F and Rehman M (2017). Factors affecting e-learning adoption in developing countries–empirical evidence from Pakistan’s higher education sector. IEEE Access, 5: 10968-10978. https://doi.org/10.1109/ACCESS.2017.2714379 [Google Scholar]
- Lin SC, Persada SF, and Nadlifatin R (2014). A study of student behavior in accepting the blackboard learning system: A technology acceptance model (TAM) approach. In the IEEE 18th International conference on computer supported cooperative work in design, IEEE, Hsinchu, Taiwan: 457-462. https://doi.org/10.1109/CSCWD.2014.6846888 [Google Scholar]
- Liu Z, Zhao G, Zheng W, and Jin J (2008). The research and exploration of mobile-learning based on web2.0. In the International Symposium on Knowledge Acquisition and Modeling, IEEE, Wuhan, China: 520-524. https://doi.org/10.1109/KAM.2008.173 [Google Scholar] PMCid:PMC2678875
- Louw J, Brown C, Muller J, and Soudien C (2009). Instructional technologies in social science instruction in South Africa. Computers and Education, 53(2): 234-242. https://doi.org/10.1016/j.compedu.2009.02.001 [Google Scholar]
- Lowenthal JN (2010). Using mobile learning: Determinates impacting behavioral intention. American Journal of Distance Education, 24(4): 195-206. https://doi.org/10.1080/08923647.2010.519947 [Google Scholar]
- Mahmodi M (2017). The analysis of the factors affecting the acceptance of E-learning in higher education. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 8(1): e11158. https://doi.org/10.5812/ijvlms.11158 [Google Scholar]
- Margaryan A, Littlejohn A, and Vojt G (2011). Are digital natives a myth or reality? University students’ use of digital technologies. Computers and Education, 56(2): 429-440. https://doi.org/10.1016/j.compedu.2010.09.004 [Google Scholar]
- Masrek MN and Samadi I (2017). Determinants of mobile learning adoption in higher education setting. Asian Journal of Scientific Research, 10(2): 60-69. https://doi.org/10.3923/ajsr.2017.60.69 [Google Scholar]
- Mohammadi H (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior, 45: 359-374. https://doi.org/10.1016/j.chb.2014.07.044 [Google Scholar]
- Moreno V, Cavazotte F, and Alves I (2017). Explaining university students’ effective use of e‐learning platforms. British Journal of Educational Technology, 48(4): 995-1009. https://doi.org/10.1111/bjet.12469 [Google Scholar]
- Mtebe J (2015). Learning management system success: Increasing learning management system usage in higher education in sub-Saharan Africa. International Journal of Education and Development Using ICT, 11(2): 51-64. [Google Scholar]
- Muniasamy VD, Eljailani IM, and Anandhavalli M (2014). Prediction of learner perception and acceptance of e-learning system for learning with TAM (technology acceptance model) in King Khalid University, Kingdom of Saudi Arabia. International Journal of Emerging Technology and Advanced Engineering, 4(9): 94-99. [Google Scholar]
- Öztürk L (2019). Functions and role of social media networks in learning a foreign language: A case study. International Journal of Advanced and Applied Sciences, 6(6): 66-69. https://doi.org/10.21833/ijaas.2019.06.010 [Google Scholar]
- Ramírez Anormaliza RI, Sabaté i Garriga F, and Llinàs Audet FJ (2016). The acceptance and use of the e-learning systems among the university teachers in Ecuador. In the International Conference on Education and New Learning Technologies, "EDULEARN16 Proceedings", Barcelona, Spain: 3666-3674. https://doi.org/10.21125/edulearn.2016.1836 [Google Scholar]
- Saadé RG and Kira D (2009). Computer anxiety in e-learning: The effect of computer self-efficacy. Journal of Information Technology Education: Research, 8(1): 177-191. https://doi.org/10.28945/166 [Google Scholar]
- Salloum SA, Alhamad AQM, Al-Emran M, Monem AA, and Shaalan K (2019). Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE Access, 7: 128445-128462. https://doi.org/10.1109/ACCESS.2019.2939467 [Google Scholar]
- Sánchez RA, Hueros AD, and Ordaz MG (2013). E‐learning and the University of Huelva: A study of WebCT and the technological acceptance model. Campus-Wide Information Systems, 30(2): 135-160. https://doi.org/10.1108/10650741311306318 [Google Scholar]
- Sarrab M, Al-Khanjari Z, Alnaeli S, and Bourdoucen H (2017). Human factors considerations in mobile learning management systems. In: Auer M and Tsiatsos T (Eds.), Interactive Mobile Communication, Technologies and Learning: 372-383. Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-319-75175-7_38 [Google Scholar]
- Sekaran U and Bougie R (2016). Research methods for business: A skill building approach. John Wiley and Sons, Hoboken, USA. [Google Scholar]
- Shin WS and Kang M (2015). The use of a mobile learning management system at an online university and its effect on learning satisfaction and achievement. International Review of Research in Open and Distributed Learning, 16(3): 110-130. https://doi.org/10.19173/irrodl.v16i3.1984 [Google Scholar]
- Tran KNN (2016). The adoption of blended e-learning technology in Vietnam using a revision of the technology acceptance model. Journal of Information Technology Education, 15: 253-282. https://doi.org/10.28945/3522 [Google Scholar]
- Turan A, Tunç AÖ, and Zehir C (2015). A theoretical model proposal: Personal innovativeness and user involvement as antecedents of unified theory of acceptance and use of technology. Procedia-Social and Behavioral Sciences, 210(2015): 43-51. https://doi.org/10.1016/j.sbspro.2015.11.327 [Google Scholar]
- Yoon HY (2016). User acceptance of mobile library applications in academic libraries: An application of the technology acceptance model. The Journal of Academic Librarianship, 42(6): 687-693. https://doi.org/10.1016/j.acalib.2016.08.003 [Google Scholar]
|