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Harnessing the Power of AI in Large-Scale Assessment: Advancing Literacy and Numeracy Outcomes in LMICs

Thu, March 14, 3:15 to 4:45pm, Hyatt Regency Miami, Floor: Third Level, Foster 2

Group Submission Type: Formal Panel Session

Proposal

In alignment with the 2024 Comparative and International Education Society (CIES) theme, "The Power of Protest," this proposed panel discussion focuses on the transformative role of AI in assessments to address the global learning crisis in low- and middle-income countries (LMICs). The panel aims to explore how AI can serve as a powerful tool for protest against educational inequalities by revolutionizing assessment practices in LMICs. It highlights the importance of summative assessment, the limitations of traditional approaches, and aims to generate insights into how AI can drive systemic change and empower educators, policymakers, and researchers to advocate for equitable education.
The benefits of AI for assessment are in theory wide-ranging: AI can be used to generate test items; it’s text recognition features could also potentially in the future enable to mark low-stakes free -text tests; it could enable the automatic test assembly for adaptive tests; its voice-recognition feature could be used for administration in the early grades…
The panel discussion will present some of the latest innovation of AI for assessments in LMICS and HICs, with an emphasis on the new functionalitics enabled by the technology and considerations on how it may scale in LMICs contexts. The panel will also consider the challenges faced by LMICs in implementing traditional assessment methods, including issues related to implementation, cost, and scalability. It will critically examine how AI-powered assessment systems can overcome these challenges, with the potential to enable more cost-effective, accurate, and scalable assessments, thereby working towards addressing educational inequities.
Key focal points of the panel discussion include:
Category 1: Transformative Potential and Advantages of AI-powered Assessments
• The panel will explore the transformative potential of AI-powered assessment systems, providing tools for more accurate and comprehensive assessments.
• It will highlight the benefits of AI, such as automated scoring, real-time feedback, adaptive testing, and data-driven insights.
• How these features can facilitate targeted interventions, evidence-based decision-making, and systemic improvements in literacy and numeracy outcomes.
Category 2: Adaptive Testing, Personalized Feedback, and Enhanced Literacy Assessment
• The panel will explore the potential of AI in adaptive testing and personalized feedback.
• AI-powered systems can analyze student responses, identify strengths and weaknesses, and provide tailored feedback and learning recommendations.
• Voice recognition AI can improve large-scale literacy assessments by analyzing speech productions while reading aloud, enhancing objectivity, speed, and scalability.
Category 3: Cost-effectiveness, Scalability, and Multilingual Assessments
• The panel will emphasize how AI can address the cost challenges associated with large-scale summative assessments in LMICs.
• By automating various assessment processes, AI can reduce the need for extensive human resources, lowering assessment costs.
• Additionally, AI can support multilingual assessment items and real-time translation, ensuring linguistic inclusivity and access to native languages.
Category 4: Ethical Considerations, Inclusivity, and Bias Mitigation
• The panel will examine the ethical implications and potential biases associated with AI in large-scale assessment.
• It will discuss strategies to mitigate biases and ensure equitable access to AI-powered assessment systems.
• Emphasis will be placed on fairness, transparency, and inclusivity in the implementation of AI technologies.
Esteemed panelists will share their expertise and experiences in AI-powered assessment:
1. Sipumelele Lucwaba: He will contribute insights on AI-powered Early Grade Reading Assessment (EGRA) in South Africa, highlighting how AI can be leveraged to protest against educational inequalities and drive improvements in literacy outcomes.
2. Carmen Strigel: RTI will feature the self-administered AI Speech recognition powered Computer based reading assessment (CoBRA) that RTI developed at the request of the Philippines Department of Education (DepEd), under the USAID All Children Reading (ACR).
3. Mathias Von Davier: This talk will provide an overview of the applications of Artificial Intelligence (AI) and Natural Language Processing (NLP) in educational measurement, focusing on automated item generation, automated scoring, and test assembly with a focus on large-scale international assessments such as TIMSS, PIRLS, and others.

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