September 29 ~ 30, 2026, Virtual Conference
Edward Gerald Mwalabu, Malawi University of Sciences and Technology, Malawi
Five public universities of Malawi adopted Open Distance and e-Learning (ODeL) system for delivery of academic programmes to learners. This was a strategy of increasing access of higher education to many Malawians in view of space and infrastructure limitations under the regular face-to-face intake of learners. This research study was undertaken to develop an institutional framework for adoption of Open Distance and e-Learning (ODeL) programmes at Malawi School of Government (MSG) in line with set standards of education. MSG is a newly established public institution that was established by Malawi Government to provide training, research, consultancy and advisory services to the public. The study deployed three key theoretical models in line with the concepts of e-learning and innovation adoptions comprising of TPACK, SAMR and Diffusion of Innovation Models respectively. The research study adopted mixed methods comprising of qualitative and quantitative techniques. These methods influenced the choice of data collection tools which comprised of survey questionnaires, key in-depth interviews and documentary analysis of existing literature sources. The research data were analysed using relevant software packages such as Microsoft Excel and SPSS in order to derive useful information for the final report. The findings for this study revealed useful elements for inclusion in the proposed e-learning framework to be adopted by Malawi School of Government (MSG). These elements include internet connectivity, appropriate devices, self-instructional materials, delivery time, online skills and good interactions between lecturers and learners.
Institutional Framework, Open Distance and e-Learning, Malawi School of Government.
Brandon Toliver and Sh’Voda Gregory, Tuskegee University, USA
Aerospace research competitiveness depends on reliable, digitally connected, adaptable, and resilient infrastructure as well as faculty expertise and instrumentation. This paper introduces the Facilities-Engineering Integration Model (FEIM), a systems framework linking research strategy, capital planning, facilities engineering, digital engineering, and workforce development. FEIM integrates BIM, GIS, Internet of Things sensing, maintenance and asset-management systems, and digital twins into a common decision environment. It also proposes five performance tools: the Facilities Research Readiness Index, Research Infrastructure Return on Investment, Infrastructure Resilience Index, Laboratory Utilization Efficiency, and Research Infrastructure Optimization Model. Tuskegee University serves as an applied case environment. The framework includes a five-year implementation roadmap, governance model, federal funding strategy, and modified Delphi validation protocol, positioning facilities engineering as an active contributor to aerospace research, student development, institutional resilience, and sponsored innovation.
Aerospace Infrastructure, Digital Twin, Facilities Engineering, Research Infrastructure, Systems Engineering.
Kofi Ofori-Mensah, NeuroDigital Support, United Kingdom
Social media platforms have become central to social participation, identity formation, and community belonging. However, algorithmic systems that underpin recommendation engines, content moderation tools, and engagement optimisation functions are predominantly designed around neurotypical patterns of behaviour and social interaction. This conceptual review examines algorithmic exclusion as it relates to neurodivergent users, with emphasis on autistic adults and individuals with ADHD in the United Kingdom. Drawing on critical algorithm studies, the neurodiversity paradigm, person–environment fit theory, and the social model of disability, this paper develops the Neurodivergent Algorithmic Misfit (NAM) framework. The NAM framework identifies four dimensions of algorithmic exclusion: attentional exploitation, social ambiguity amplification, identity suppression, and community fragmentation. The paper concludes by advocating for neurodiversity-inclusive platform design grounded in co-production with neurodivergent communities, and outlines implications for platform governance, digital inclusion policy, and future empirical research.
Algorithmic exclusion, Neurodiversity, Autism, ADHD, Platform design.