Developing the AI Learning Experience Measure (ALEM): Enhancing Assessment of AI Education Initiatives Worldwide (81658)
Session Chair: Reyhaneh Bastani
Sunday, 16 June 2024 14:10
Session: Session 3
Room: Salle 233
Presentation Type:Oral Presentation
In light of the increasing integration of artificial intelligence (AI) education in school curricula worldwide, adequately gauging the efficacy of education initiatives demands robust measurement instruments that can capture the multifaceted nature of learning experiences. Recognizing this necessity, developing an AI Learning Experience Measure (ALEM) has become crucial. This study presents an ALEM instrument to fulfill this pressing need, offering insights into the effectiveness and inclusivity of educational activities outlined in both UNESCO design considerations and the AI4K12 initiative. Guided by the 15 specific design considerations provided by UNESCO and the comprehensive framework established by the AI4K12 initiative, this study systematically constructed the tool through iterative expert consultations using the Delphi method. The proposed measure is a valuable tool for assessing the implementation of AI education initiatives, providing insights into the alignment between educational activities and desired learning outcomes. By incorporating AI concepts and principles into education through the AI-learning experience measure, students can acquire the necessary knowledge and skills to navigate the increasingly AI-driven world. Through a systematic evaluation of these practices, refinement and improvement of AI education curricula can be achieved.
Authors:
Nitha Siby, Qatar University, Qatar
Almas Sultana, Qatar University, Qatar
Mohammad Ammar, Qatar University, Qatar
Zubair Ahmad, Qatar University, Qatar
About the Presenter(s)
Dr Zubair Ahmad is a University Assistant Professor/Lecturer at Qatar University in Qatar
See this presentation on the full schedule – Sunday Schedule
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