Reading Assignment for Section 8.3
Read the following subsection in our online textbook:
What You Will Learn
This section delves into the use of data analytics and risk assessment tools within the juvenile justice system, exploring how these technologies assist in decision-making processes. You will learn about the applications of data analytics for risk assessment, case management, and resource allocation. Additionally, this section discusses the benefits of these technologies in enhancing decision accuracy, providing predictive insights, and improving efficiency and cost-effectiveness.
Student Learning Outcomes for Section 8.3
- SLO 1: Describe the role of data analytics in juvenile justice, including how it helps in assessing risks and tailoring interventions for individual juveniles.
- SLO 2: Explain the applications of various risk assessment tools such as SAVRY, YLS/CMI, CANS, and PACT, and how they aid in effective case management and intervention planning.
- SLO 3: Analyze the benefits of using data analytics and risk assessment in juvenile justice, particularly in enhancing decision accuracy, providing predictive insights, and improving efficiency.
- SLO 4: Evaluate the challenges and limitations associated with data analytics, including issues related to data quality, potential biases, and the risk of over-reliance on automated tools.
- SLO 5: Reflect on the ethical considerations and future directions for data analytics in juvenile justice, focusing on ethical frameworks, regulatory needs, and the potential impacts of emerging technologies.
Modification History File Created: 04/26/2024 Last Modified: 11/20/2024
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