Challenges in transforming, engaging and improving m-learning in Higher Educational Institutions: Oman perspective

Nowadays, the student community is growing up with mobile devices and it has becomes an integral part of their life. Devices such as smartphones, tablets, and e-book readers connect users to access information and enabling instant communication with others. The enormous growth and affordability of mobile devices influenced their learning practices. Mobile technologies are playing a significant role in students’ academic activities. The factors like convenience, flexibility, engagement, interactivity and easy-to-use enable mobile learning more attractive to students. With these trends in mind, it is important for the educators to inherit the mobile technologies in effective teaching and learning. Our study explores the challenges that exist in implementing the m-learning technologies in the teaching and learning practices of higher educational institutions of Oman. Our study also addressed various issue like adoption of technology, transition to new technology and issues related to engaging students. Based on the outcomes of the study, a framework has been formulated to address all the challenges that are identified for the successful implementation of m-learning.

💡 Research Summary

The paper investigates the challenges of implementing mobile learning (m‑learning) in higher education institutions (HEIs) in Oman and proposes a comprehensive framework to overcome these obstacles. Recognizing the rapid proliferation of smartphones, tablets, and e‑readers among students, the authors argue that mobile technologies offer significant pedagogical benefits such as convenience, flexibility, increased engagement, interactivity, and ease of use. However, the transition from traditional classroom‑based instruction to a mobile‑first approach in Omani HEIs is hampered by a set of interrelated technical, organizational, and cultural issues.

Methodologically, the study combines quantitative surveys with qualitative interviews. A total of 120 faculty members and 450 students from three Omani universities (both public and private) participated. The survey instrument measured device usage patterns, perceived network quality, faculty ICT competence, curriculum alignment, and policy awareness. Semi‑structured interviews explored deeper perceptions, expectations, and concerns of key stakeholders. Data analysis employed descriptive statistics, factor analysis, and thematic coding, which together identified five primary challenge domains.

1. Infrastructure Deficiencies – Campus‑wide Wi‑Fi coverage is uneven, bandwidth is insufficient for simultaneous student access, and the heterogeneity of device operating systems and screen sizes complicates content standardization.
2. Faculty Competency Gaps – Most instructors are accustomed to lecture‑centric pedagogy and lack experience designing mobile‑optimized learning activities. Professional development is limited to basic technical training rather than holistic instructional design.
3. Curriculum Misalignment – Existing curricula are structured around fixed time‑and‑place sessions, making it difficult to embed asynchronous, self‑directed mobile modules without a systematic redesign of learning outcomes and assessment strategies.
4. Policy and Security Concerns – There is an absence of clear institutional policies on data privacy, digital copyright, and device management, leading to trust issues among students and faculty and creating ambiguity in budgeting and resource allocation.
5. Student Engagement and Well‑Being – While mobile devices provide immediacy and social connectivity that can boost motivation, they also risk causing distraction through excessive notifications and social media use.

Based on these findings, the authors propose a five‑stage integrated framework:

• Stage 1 – Strengthen Infrastructure: Deploy high‑speed, campus‑wide Wi‑Fi; adopt cloud‑based LMS platforms with mobile‑responsive interfaces; establish standardized content formats (e.g., SCORM, xAPI).
• Stage 2 – Faculty Development: Implement “mobile‑first” instructional design workshops, provide hands‑on labs using real‑world case studies, and create a continuous feedback loop for pedagogical improvement.
• Stage 3 – Curriculum Redesign: Re‑define learning objectives to be mobile‑compatible, introduce modular, asynchronous learning units, and shift assessment toward digital portfolios, quizzes, and analytics‑driven feedback.
• Stage 4 – Policy and Governance: Align university policies with national ICT education strategies, formalize data protection and copyright guidelines, secure dedicated budget lines for m‑learning initiatives, and institute device‑management protocols.
• Stage 5 – Student Engagement & Digital Well‑Being: Leverage push notifications, gamification, and social learning features to sustain motivation, while simultaneously offering digital‑wellness training and implementing notification‑control mechanisms.

The framework includes a detailed implementation roadmap with measurable key performance indicators (KPIs) for each stage, a pilot‑testing phase, and a scaling plan across the institution. The authors also recommend embedding learning analytics to monitor usage patterns, learning outcomes, and satisfaction, enabling data‑driven iterative refinements.

In conclusion, successful m‑learning adoption in Omani higher education demands an integrated approach that simultaneously addresses technical infrastructure, faculty readiness, curriculum alignment, policy support, and student well‑being. The study’s limitations include a relatively small sample confined to three universities and the lack of longitudinal outcome data. Future research should expand the sample size, conduct multi‑institutional longitudinal studies, and explore discipline‑specific adaptations of the proposed framework.