Episode 33

How big will the AI in Education revolution get?

Brief description of the episode

Are you prepared to explore the limitless potential of artificial intelligence (AI) in education and workforce readiness? Josh Jarrett, VP of Strategy, Wiley, discusses the captivating promises of AI in learning and highlights the uncertainties surrounding its use. Tune into some great insights on the adoption of AI in businesses and educational institutions, reshaping a future where education and workforce readiness reach new heights.

Key Takeaways:

- AI has the potential to address the challenge of affordability when it comes to enhancing student learning by two standard deviations; individual tutoring and mastery-based learning.
- AI can create structured and individualized tutored experiences, allowing students to receive tailored explanations, ask questions, and deepen their understanding of various subjects.
- AI can also play a vital role in talent discovery. By analyzing patterns and utilizing soft skills assessments, AI engines can predict the suitability of individuals for specific job roles or career opportunities.
- The predictive capability has shown promising results in early career talent hiring, surpassing human interviewers’ accuracy by 20 to 50 percent.
- AI-driven systems can help connect individuals with better career opportunities by identifying their strengths, skills, and potential, and matching them with relevant opportunities. This ability to bridge the gap between talent and available positions can lead to more efficient and effective talent allocation.
- Students may rely on AI-generated outlines, summaries, or even complete papers, potentially hindering their own learning and understanding of the subject matter to seek shortcuts in the learning process.
- The ease of using Generative AI can make it tempting for students to engage in outright cheating or plagiarism, compromising academic integrity.
- Generative AI models aim to please their users’ requests and can generate inaccurate information or “hallucinations” that lack factual basis or proper citations may mislead learners and confuse their understanding of the subject.
- These tools to an extent are not free and aren’t universally accessible. The uneven access can be disadvantageous to students who can’t leverage these tools, further worsening educational inequality.
- Educators have traditionally been slow in adopting new technology, with some classrooms still using outdated equipment like VCRs. However, there is a growing need for educators to embrace new technology quickly and establish guidelines for its appropriate use.
- There may be a shift away from graded homework, as technology can better track and assess student progress, eliminating the need for traditional homework.
- With a greater focus on frequent formative assessments, educators can provide continuous feedback, and improve the learning experience for students.
- High-stakes assessments, such as closed book tests or oral presentations, may regain importance as they isolate the learner’s abilities from the machine’s.

How big will the AI in Education revolution get?

Brief description of the episode

Key Takeaways:

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