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    Perspectives on the challenges of generalizability, transparency and ethics in predictive learning analytics
    (Elsevier Ltd, 2021-11-20) Mathrani A; Susnjak T; Ramaswami G; Barczak A
    Educational institutions need to formulate a well-established data-driven plan to get long-term value from their learning analytics (LA) strategy. By tracking learners’ digital traces and measuring learners’ performance, institutions can discern consequential learning trends via use of predictive models to enhance their instructional services. However, questions remain on how the proposed LA system is suitable, meaningful, and justifiable. In this concept paper, we examine generalizability and transparency of the internals of predictive models, alongside the ethical challenges in using learners’ data for building predictive capabilities. Model generalizability or transferability is hindered by inadequate feature representation, small and imbalanced datasets, concept drift, and contextually un-related domains. Additional challenges relate to trustworthiness and social acceptance of these models since algorithmic-driven models are difficult to interpret by themselves. Further, ethical dilemmas are faced in engaging with learners’ data while developing and deploying LA systems at an institutional level. We propose methodologies for apprehending these challenges by establishing efforts for managing transferability and transparency, and further assessing the ethical standing on justifiable use of the LA strategy. This study showcases underlying relationships that exist between constructs pertaining to learners’ data and the predictive model. We suggest the use of appropriate evaluation techniques and setting up research ethics protocols, since without proper controls in place, the model outcome would not be portable, transferable, trustworthy, or admissible as a responsible outcome. This concept paper has theoretical and practical implications for future inquiry in the burgeoning field of learning analytics.
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    Reconfiguring the Relationship Between Intelligence Professionals and the Public: A First Step Towards Democratising New Zealand’s National Security?
    (Centre for Defence and Security Studies, Massey University, 2021-09-29) Rogers D; Mawdsley S
    The secrecy surrounding intelligence work has meant the relationship between New Zealand intelligence professionals and the public they serve has always been somewhat problematic. Over the past decade, leaks, scandals and a deadly act of terrorism have certainly not improved the public’s trust and confidence in the New Zealand Security Intelligence Service and the Government Communications Security Bureau. While the Government has undertaken several measures to strengthen the credibility of those agencies, including initiating public inqui-ries and bolstering governance arrangements, its current approach is rather limited, has reached those limits and could now be counterproductive. In light of the recommendations made by the Royal Commission of Inquiry into the Terrorist Attack on Christchurch Mosques on 15 March 2019 to increase public involvement in New Zealand’s counterterrorism effort, we argue that it is time for this problematic relationship between intelligence professionals and the public to be rethought and reconfigured. To that end, we identify several concrete actions that parliamentarians and university leaders could consider taking to actively support intelligence professionals as they foster a society of informed citizens and create new opportunities to bring national security matters into the heart of democracy’s deliberative processes.