Browsing by Author "Nakatumba, Joyce"
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Item Envisioning Life-Long Learning Skills Report Review On Artificial Intelligence And Machine Learning (AI/ML)(Artificial Life and Robotics, 2020) Boogere, James; Eilu, Emmanuel; Nakatumba, JoyceArtificial intelligence and machine learning (AI/ML) are running almost all aspects of our daily lives. However, there is little impact of these recent advancements in AI/ML on the education sector. We highlight issues why education is lagging behind while bearing in mind that education is highly structured and processoriented compared to most of other sectors that are either service or product-oriented. We explore this challenge courtesy of numerous reports such as “The Envisioning Report for Empowering Universities, 2nd edition, April 2018” from two folds: What are the expected benefits? What are the risks and opportunities for public education actors? This desk research recommends natural language processing and/or learning analytics (LA) as a vital technique in fostering individualised visualisation of life-long learning skill.Item Towards Web-based Productivity Analysis and Reporting(2020) Mwebaza, Michael; Mnzava, Emmanuel; Nakatumba, Joyce; Nabende, PeterIn this paper, we propose a Web-based Productivity Analysis and Reporting Tool (W-PART) for applications that necessitate gathering productivity data from remote sites for a given business entity. W-PART is aimed at reducing on productivity data entry and analysis workload from a central input point. Other beneits that we expect to realize from the tool include reduction of data loss and time taken entering productivity data. The tool is generally aimed for utilization by any given organization in a ‘developing area’, but relies on availability of the Internet in any form. We report on the current status in the development of the tool and discuss its software implementation prospects. For the purpose of discussing different aspects concerning the tool, we use banks as a case study. We avail general implementation requirements for the tool which we expect should lead to a variety of options for implemention.