Using software as a service to support the academic activities of students in higher education institutions with a relative lack of resources

The contribution of Software as a Service (SaaS) towards improved access to software, cost reduction, better quality of learning and enhanced communication and collaboration in higher education institutions (HEIs) cannot be over emphasised. Some HEIs are faced with issues such as tight budget, lack of needed software, inadequate human resources and lack of adequate infrastructure. This research refers to such HEIs as those with a relative lack of resources because the resources intended for a single student are often shared among ten or more students. Hence many students are unable to cope with their academic activities and some end up failing or even dropping out. Finding alternative ways to provide the necessary software for students is therefore a priority for HEIs with a relative lack of resources. SaaS offers a possible alternative for them and it is gaining their attention. The goal of this research was to empower HEIs, their students, lecturers and Information Technology (IT) staff by providing them with a better understanding of SaaS and to provide them with a tool to manage the adoption and implementation of SaaS. Also, the intention was to make practical, theoretical and methodological contributions to the scientific body of knowledge in the area of Software as a Service. To achieve the goals, this research investigated the use of SaaS in HEIs with a relative lack of resources and found SaaS to be effective in providing wider access to software for students in HEIs with a relative lack of resources. This research also identified benefits and limitations of SaaS and how SaaS can help in addressing the barriers to learning and contribute towards the creation of a conducive learning environment for students. The different SaaS offerings available for education and the issues and contradictions associated with the use of SaaS in HEIs were also identified. Furthermore, a set of propositions and an integrated framework were developed using the data from the literature, books, institutional documents and interview data. Although HEIs are continuously introducing SaaS offerings into their academic activities and SaaS promises to improve the learning experience of students in HEIs by improving access to software, improving the sharing of documents and files, improving collaboration as well as communication, this research found that the use of SaaS by students in HEIs is still relatively low and uncovered the reasons for this. The HEIs in Nigeria and South Africa were used as exemplars and the problems they face with regards to resource availability were identified using the activity theory (AT) as a theoretical lens. The Astin’s IEO model and the Students involvement theory were also used to explain some issues relating to the importance of student participation in academic activities involving the use of SaaS. Although the study was focused on students, data from lecturers and IT staff was used for triangulation to increase the credibility and validity of the data obtained from the students. This research found that students believe that SaaS can improve their learning experience and there is an unwavering support for the campus wide implementation of SaaS among students. In the Nigerian HEIs, software piracy was found to be a major problem as students cannot afford to buy the original software needed for academic activities. Another major finding from the Nigerian HEIs is the rampant claims that corruption affects the implementation of SaaS and other ICT initiatives as funds meant for implementation are often diverted for personal gains. In both Nigeria and South Africa, this research found that there is limited or no internet access in some areas and the students who come from such areas are unable to access SaaS from home. This limits their ability to enjoy the anytime, anywhere access advantage of SaaS. This research concluded by suggesting the need for the government and education institutions to provide training for learners and encourage them to be computer literate from an early stage as this could improve their confidence in using technologies such as SaaS when they get to higher education level

Towards a Digital Capability Maturity Framework for Tertiary Institutions

Background: The Digital Capability (DC) of an Institution is the extent to which the institution's culture, policies, and infrastructure enable and support digital practices (Killen et al., 2017), and maturity is the continuous improvement of those capabilities. As technology continues to evolve, it is likely to give rise to constant changes in teaching and learning, potentially disrupting Tertiary Education Institutions (TEIs) and making existing organisational models less effective. An institution’s ability to adapt to continuously changing technology depends on the change in culture and leadership decisions within the individual institutions. Change without structure leads to inefficiencies, evident across the Nigerian TEI landscape. These inefficiencies can be attributed mainly to a lack of clarity and agreement on a development structure. Objectives: This research aims to design a structure with a pathway to maturity, to support the continuous improvement of DC in TEIs in Nigeria and consequently improve the success of digital education programmes. Methods: I started by conducting a Systematic Literature Review (SLR) investigating the body of knowledge on DC, its composition, the relationship between its elements and their respective impact on the Maturity of TEIs. Findings from the review led me to investigate further the key roles instrumental in developing Digital Capability Maturity in Tertiary Institutions (DCMiTI). The results of these investigations formed the initial ideas and constructs upon which the proposed structure was built. I then explored a combination of quantitative and qualitative methods to substantiate the initial constructs and gain a deeper understanding of the relationships between elements/sub-elements. Next, I used triangulation as a vehicle to expand the validity of the findings by replicating the methods in a case study of TEIs in Nigeria. Finally, after using the validated constructs and knowledge base to propose a structure based on CMMI concepts, I conducted an expert panel workshop to test the model’s validity. Results: I consolidated the body of knowledge from the SLR into a universal classification of 10 elements, each comprising sub-elements. I also went on to propose a classification for DCMiTI. The elements/sub-elements in the classification indicate the success factors for digital maturity, which were also found to positively impact the ability to design, deploy and sustain digital education. These findings were confirmed in a UK University and triangulated in a case study of Northwest Nigeria. The case study confirmed the literature findings on the status of DCMiTI in Nigeria and provided sufficient evidence to suggest that a maturity structure would be a well-suited solution to supporting DCM in the region. I thus scoped, designed, and populated a domain-specific framework for DCMiTI, configured to support the educational landscape in Northwest Nigeria. Conclusion: The proposed DCMiTI framework enables TEIs to assess their maturity level across the various capability elements and reports on DCM as a whole. It provides guidance on the criteria that must be satisfied to achieve higher levels of digital maturity. The framework received expert validation, as domain experts agreed that the proposed Framework was well applicable to developing DCMiTI and would be a valuable tool to support TEIs in delivering successful digital education. Recommendations were made to engage in further iterations of testing by deploying the proposed framework for use in TEI to confirm the extent of its generalisability and acceptability