Artificial Intelligence in Education Unpacked: Broken Promises, Plentiful Perils and Incredible Opportunities
Listen and learn : Lecture
Wednesday, June 26, 10:00–11:00 am
Discover the forces that promote and inhibit the usefulness of artificial intelligence in education, covering topics such as creativity, meaning, fairness, social good, personalized learning and intelligent automation. In an increasingly digitally isolating and automated world, where do teachers, schools and organized education stand?
|Audience:||Chief technology officers/superintendents/school board members, Teachers, Principals/head teachers|
|Attendee devices:||Devices not needed|
|Focus:||Digital age teaching & learning|
|Topic:||Innovative learning environments|
|ISTE Standards:||For Administrators:
Digital Age Learning Culture
The main objective of this presentation is to help educators, education leaders, and administrators make decisions about the use of AI in their schools and classrooms now and in the future. The number of AI offerings is overwhelming and it is challenging to separate the wheat from the chaff.
We will first provide a frame for what AI in Education does, doesn't do, can, and cannot do. With that foundation, we will provide the core questions that can help get a better sense of the fidelity and sensibility of a particular AI application or promise. Even more, we aim to arm the audience to be able to hold every offering to standards that promote efficacy and inclusion.
Throughout the presentation, we will offer many examples of where AI in Education has and has not worked. We will also ask the audience to offer examples, which we will then take through our core questions to find out whether the offering is sensible or not and for whom.
The first 5 minutes will be spent on introducing the general topic of AI in Education following by 10 minutes delving into setting up the frame of what AI can and cannot do. The next 10 minutes will be spend on introducing the core questions that anyone should ask about an AI offering. We will provide several examples that we will hold against those questions and analyze for fidelity and sensibility. The next 15 minutes will be more interactive, where we ask the audience to give us examples of AI offerings. We will analyze them on the spot, based on our framing questions. The next 5 minutes will be a 'closing argument' to reinforce the key principles for AI in education and to review the core questions once more. This will leave 15 minutes for audience Q&A.
Under presenter background, there are a number of articles and presentations that provide some background to the topic and the importance of this topic. In addition, outlets such as EdSurge, TechCrunch, and Medium have a consistent stream about AI in Education (and more generally).
Andreas Oranje (PhD, MA cum laude, University of Amsterdam) is a general manager in ETS' Research Division responsible for the assessment and learning technology innovation portfolio including automated evaluation and scoring (spoken and written natural language processing), virtual performance assessments (game, conversation, scenario, and simulation based assessments) and assistive technology. He frequently presents on topics related to AI in education at venues such as SXSWedu, LearnLaunch, and NewSchools Venture Fund. A psychometrician by training, Andreas has published both on methodological topics as well as game-based assessment.