This chapter focuses on an innovative research project into the potential of artificial intelligence (AI) to form a conduit between theoretical knowledge and practical skill application. As we seek to improve the quality of teaching, we use AI to bridge the gap between traditional skills (e.g. curriculum outcomes) and more challenging concepts such as teamwork, adaptability and interpersonal skills. This chapter traces the development of the project and the ATLAS (Authentic Teaching and Learning Applications Simulations) AI platform as a tool for teaching and learning. This study is rooted in scholarly research and pedagogical evidence, presenting findings from the pilot testing phase of the ATLAS platform. These exploratory insights aim to inform further development rather than offer definitive conclusions. They build on Hattie’s high-impact teaching strategies (2023) and contemporary online learning pedagogies (Richardson et al. in Comput Educ 143, 2020. https://doi.org/10.24059/olj.v24i1.1629 ). This theoretical underpinning informs the platform’s unique approach to learning with, through and from artificial intelligence (AI) and charts new pedagogical territory. Initial findings suggest that when teachers engage with ATLAS, we can positively impact their abilities in situational awareness, parent-teacher interactions and teacher-to-student communications.

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The ATLAS Platform: A Research-Driven Approach to Applied Learning Through Generative AI-Enabled Scenarios

  • Joanne Blannin,
  • Joel Moore,
  • Rosemarie Herbert,
  • Guilherme Horst Duque,
  • Amna Mazeh

摘要

This chapter focuses on an innovative research project into the potential of artificial intelligence (AI) to form a conduit between theoretical knowledge and practical skill application. As we seek to improve the quality of teaching, we use AI to bridge the gap between traditional skills (e.g. curriculum outcomes) and more challenging concepts such as teamwork, adaptability and interpersonal skills. This chapter traces the development of the project and the ATLAS (Authentic Teaching and Learning Applications Simulations) AI platform as a tool for teaching and learning. This study is rooted in scholarly research and pedagogical evidence, presenting findings from the pilot testing phase of the ATLAS platform. These exploratory insights aim to inform further development rather than offer definitive conclusions. They build on Hattie’s high-impact teaching strategies (2023) and contemporary online learning pedagogies (Richardson et al. in Comput Educ 143, 2020. https://doi.org/10.24059/olj.v24i1.1629 ). This theoretical underpinning informs the platform’s unique approach to learning with, through and from artificial intelligence (AI) and charts new pedagogical territory. Initial findings suggest that when teachers engage with ATLAS, we can positively impact their abilities in situational awareness, parent-teacher interactions and teacher-to-student communications.