Educators Punya Mishra, Chris Dede, & Curt Bonk join hosts to reflect on their break from the podcast and discuss the impact of conflict on education. They also explore the challenges of language translation using AI technology and the pervasive presence of implicit bias in teachers' judgments. The chapter concludes with a discussion on the future of AI in education, including certificates, partnerships, and concerns about the potential undermining of education by AI.
AI-powered tutor systems may undermine broader educational goals of fostering citizenship and critical thinking.
Educators need to be critical thinkers and address implicit biases present in AI systems.
Education departments should hire individuals with a broader technological skill set to pioneer innovation.
Deep dives
AI hype in education
This year is predicted to be the year of AI hype in education, with a focus on AI-powered tutor systems. These systems will be positioned as the solution to educational problems and offer personalized learning experiences. However, concerns arise around the narrowness of these systems and the risk-averse approach in education. The push for AI systems in schools may undermine the broader goals of education, such as fostering citizenship and critical thinking. The year 2024 is expected to be characterized by an overwhelming emphasis on efficiency rather than transformation, with AI hype overshadowing important educational considerations.
Implicit bias in AI
There is growing awareness of implicit bias in AI systems and their impact on education. Research has shown that these systems, trained on human-generated materials, reflect the bias present in society. The challenge lies in recognizing and addressing these biases, rather than assuming that AI systems are unbiased. Educators need to be critical thinkers and build internal guardrails to prevent these biases from influencing decision-making in the classroom.
Rise of AI-focused positions
AI-focused positions are becoming more prevalent in education, with universities and organizations hiring experts in the field. However, there is a concern that these positions may be too narrow in focus. Building a broad understanding of technology in education is crucial, as AI experts alone cannot transform educational systems. Education departments should hire individuals with a broader technological skill set to pioneer innovation.
The challenge of publishing controversial topics
There is a need to address controversial topics in education, including the implicit bias in AI systems. However, the publishing process poses challenges, as journal editors may be reluctant to address these topics. The lengthy publishing cycle, coupled with the rapidly changing nature of technology, often delays relevant research. This highlights the need for alternative venues, such as preprint repositories, to disseminate timely and impactful research.
Prediction: Educators' risk-averse approach
Educators are predicted to become more risk-averse in the face of increased scrutiny and potential backlash. This may lead to a conservative approach to teaching, focusing on traditional methods and avoiding controversial topics. The fear of negative repercussions may hinder innovative practices and impede the transformative potential of education.
Hosts reflect and look forward to the new year with Punya Mishra, Chris Dede, & Curt Bonk
Silver Lining for Learning is an ongoing conversation on the future of learning with educators and education leaders from across the globe. Hosted by Chris Dede, Curt Bonk, Punya Mishra & Yong Zhao, these conversations began under the “dark cloud” of the COVID19 crisis and continue today. We see these conversations as space to discuss the creation of equitable, humanistic and sustainable learning ecosystems that meet the needs of all learners. These conversations are hosted live on YouTube every Saturday and are archived on https://silverliningforlearning.org
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