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@@ -97,7 +97,7 @@ <h2>References</h2>
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<ol>
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<li id="ref1">Grafanaki, S. (2016). <a href="https://heinonline.org/HOL/Page?handle=hein.journals/frdipm27&div=28&g_sent=1&casa_token=&collection=journals">Autonomy challenges in the age of big data.</a> Fordham Intellectual Property, Media and Entertainment Law Journal, 27, 803.</li>
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<li id="ref2">Jimerson, J. B. (2016). <a href="https://doi.org/10.1007/s11092-015-9222-9">How are we approaching data-informed practice? Development of the survey of data use and professional learning.</a> Educational Assessment, Evaluation and Accountability, 28, 61-87.</li>
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<li id="ref3">Lund, B., Orhan, Z., Mannuru, N. R., Bevara, R. V. K., Porter, B., Vinaih, M. K., & Bhaskara, P. (2025). <a href="https://doi.org/10.1007/s43681-025-00661-4">Standards, frameworks, and legislation for artificial intelligence (AI) transparency.</a> AI and Ethics, early view.</li>
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<li id="ref3">Lund, B., Orhan, Z., Mannuru, N. R., Bevara, R. V. K., Porter, B., Vinaih, M. K., & Bhaskara, P. (2025). <a href="https://doi.org/10.1007/s43681-025-00661-4">Standards, frameworks, and legislation for artificial intelligence (AI) transparency.</a> AI and Ethics, 5, 3639-3655.</li>
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<li id="ref4">Floridi, L., & Taddeo, M. (2016). <a href="https://doi.org/10.1098/rsta.2016.0360">What is data ethics?</a> Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2083), 20160360.</li>
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<li id="ref5">Kim, J., Hong, L., & Evans, S. (2024). <a href="https://doi.org/10.1002/asi.24934">Toward measuring data literacy for higher education: Developing and validating a data literacy self-efficacy scale.</a> Journal of the Association for Information Science and Technology, 75(8), 916-931.</li>
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</ol>

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