Title IX Determination Hearing Panels 2021 Training
Understanding the process and standards involved in Title IX determination hearing panels is crucial for a fair and impartial outcome. The training covers key aspects such as grievance policy review, standard of proof, evidence consideration, questioning witnesses, relevancy, and more. It emphasizes
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Using Subject Specificity to Encourage Good Academic Practice
Academic integrity is emphasized through subject-specific approaches to learning, connecting with professional standards in different disciplines. Examples from foundation programs in Fashion and Graphic Design, and Pre-Sessional courses for Accounting and Finance postgraduates demonstrate how ethic
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Challenges in Big Data Computation: Insights from ASU Panel Discussion
Exploring fundamental challenges in computation within the big data era, this content delves into the complexities of handling social media data, emphasizing the importance of scalability, data relevancy, quality assurance, and data integration. Presented during a panel discussion at Arizona State U
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Developing WHO Guideline for ITN Prequalification
WHO is developing a guideline for the prequalification of Insecticide Treated Nets (ITNs) to address stakeholders' needs. The consultation session aims to inform stakeholders, share challenges, seek input, and develop the next draft. Guideline principles focus on WHO's mandate, product use, flexibil
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Structuring an Explain Question for Maximum Marks
Learn how to structure and approach an "Explain" type question, such as the reasons why people defended the slave trade. Understand the importance of providing accurate and relevant reasons, developing them with examples, and potentially using the PEE (Point, Explain, Evaluate) technique for a compr
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Evaluation of Information Retrieval Systems and User Satisfaction
Information Retrieval Systems are evaluated based on aspects like query assistance, speed, resources, and relevancy. Measuring user satisfaction often relies on the relevance of search results, which requires benchmark collections, query suites, and binary relevance assessments. Human-labeled corpor
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