Welcome to GenAI in Ed

Dive into the intriguing world of Generative AI in education. Our blog offers a platform for respectful and professional discussions about the transformative effects of GenAI, addressing both its opportunities and challenges. Join us as we explore how this technology is reshaping learning experiences across the globe.

BLOGS

Rethinking Education In Response to AI

With the rise of GenAI tools in education, are the traditional pedagogies and philosophies of education in need of a refresh? Tim Evans states "AI is rapidly transforming education, and as this shift continues, I've been reflecting on how we manage change in such a dynamic environment. While much of the conversation focuses on the technology itself, we don't always discuss its impact on people and our practices." "The question is no longer whether AI will play a significant role in education; it’s how teachers, learners, and administrators can adapt their strategies and reimagine traditional practices to fully harness its potential" (Cooper, 2025). Ultimately, “are the teachers of today ready to develop the leaders we will need tomorrow?” (Allen, 2019)

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ResearchRabbit, Consensus, Elicit, & ConnectedPapers AI

A huge part of Information Literacy Skills (ILS) is the collection of reliable and relevant evidence that support your research topic and question. For student who struggle with ILS, especially neurodiverse students, sifting through the vast amounts of available sources can be difficult and daunting (Streatfield, 2021). However, there is positive research being conducted which indicates students gain self-efficacy, reduced anxiety, improved writing skills, and language learning benefits using generative AI chatbots (Lo & Hew, 2023; Mageira et al., 2022; Mollick & Mollick, 2023; Wang et al., 2021). AI tools can provide practical strategies—like tutoring, coaching, mentoring, and simulating—that promote and enhance learning outcomes (Mollick & Mollick, 2023; Lo & Hew, 2023; U.S. Department of Education, 2023). The U.S. Department of Education (2023) and Hiristiani (2019) found that AI systems enable new forms of personalized interactions and adaptivity that can strengthen and support learning. Generative AI chatbots can benefit learning by helping struggling students feel more relaxed through valuable practice and helpful feedback as they write with greater ease and efficiency (Leos, 2023). The merger of education and technology can provide a framework where students use AI tools to filter through vast amounts of information in order to find evidence that supports their topic.

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HI/AI Together: Human Intelligence (HI) & Artificial Intelligence (AI) Working in Tandem

The tandem use of HI and AI can develop aspects of creativity, critical thinking, academic and emotional intelligence, innovation, adaptability, teacher-student relationships, and clear communication in the learning process. While AI provides potential benefits, human intelligence (HI) should not be replaced or ignored. Human intelligence involves creativity, critical thinking, emotional intelligence, innovation, and adaptability (Human Intelligence Movement, 2024) that allows humans the ability to imagine, anticipate, feel, judge changing situation, and shift from short-term to long-term concerns without external databases (De Cremer & Kasparov, 2021). The premise is that AI will complement rather than substitute HI. 

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Academic Dishonesty With GenAI in Writing

AI has the opportunity to do good as well as harm, so students are not only facing learning academic content but also learning about their character as they wrestle with moral and ethical implications of plagiarism, biases, and privacy risks (Chamberlain, 2023; Mollick & Mollick, 2023; Paige, 2023; Schuurman, 2023). Teachers and students can use AI technology through responsible use and norms that teach how to maneuver and discern through distortions, biases, and pitfalls (Schuurman, 2023). Guidance by teachers can help regulate student use of generative AI chatbots and ensure academic integrity against the improper use of AI technology that can lead to misconduct or moral issues (Yu, 2023).

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Neurodiverse Students and GenAI

Neurodiversity includes the different ways people’s brains process information and interact with the world around them. The idea is that there is no "correct" way for the brain to work and that differences should be embraced and encouraged. Eckel provides a different perspective about neurodiversity in that it identifies someone who is “differently abled” (Eckel, 2020). Another perspective shifts viewing neurodiversity as an impairment or deficit in brain function to recognizing the natural variations as unique strengths and challenges of individuals (Christner, 2024). Within the neurodiverse world, some common neurological differences among students can include autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), dyslexia, dysgraphia, dyscalculia, obsessive compulsive disorder (OCD), auditory processing disorder, sensory processing disorder, nonverbal learning disorder, language processing disorder, and visual perceptual or visual motor deficit. The overarching goal is to enhance the educational experience by providing educational strategies that can meet the unique needs of neurodiverse students. Often these practical strategies that are implemented in the classroom prove beneficial to other students’ learning as well. 

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GenAI As a Supplemental Tool to Learning

AI has the potential to support neurodiverse learners who access, process, and interact in different ways, by providing different learning paths that fit their strengths (Mollick & Mollick, 2023; U.S. Department of Education, 2023). Mollick and Mollick (2023) proposed seven approaches for utilizing artificial intelligence (AI) in the classroom describing AI as: tutor, coach, mentor, teammate, tool, simulator, and student. 

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Embracing & Guiding Student AI Use

We should not let GenAI chatbot concerns "stop us from embracing possibilities and fall behind schools and countries who use it to supercharge creativity, solve increasingly tough problems, and accelerate growth" (Coxon, 2023). According to the AI Index Report 2023, eleven countries, including China and South Korea, have responded by officially endorsing and implementing AI curricula across part or all the primary, middle, and high school levels (Maslej et al., 2023). Korean 5th grade students performed significantly better using chatbots for writing practice over a 15-week period than learners who did not. Improved writing with generative AI chatbots resulted from more hands-on writing practice and a less threatening method that reduced the fear of making mistakes or being judged by others (Kwon et al, 2023). Similarly, student writing skills were improved when asked to assess generative AI chatbot responses for misinformation. Learning was also enhanced through practice and retrieval triggering deep engagement, understanding, organized knowledge, and clarified thinking (Mollick & Mollick, 2022). With generative AI, educators have a tool to teach and guide students how to use technology responsibly as they maneuver and discern through distortions, biases, and pitfalls. Teacher guidance and perception are key in student learning and effective use of generative AI chatbots.

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GenAI Prompt Building & Iteration

When considering GenAI in the writing process, prompt engineering and iteration provides critical thinking opportunities for students as they participate in the process of editing and revising to gain the best response possible. From a pedagogical perspective, using Bloom's Taxonomy Verbs in AI prompts connects teacher instruction and student learning by producing better responses that meet both teacher expectations and student needs. Peeler (2024) shares that "prompt engineering is definitely a skill that has to be developed! Lazy use of AI is a hindrance to learning even in the college classroom." Templeton (2024) posted Oregon State University's example of how GenAI can supplement learning with Bloom's Taxonomy Revisited. The revised tool can be used for course evaluation and consideration as learning outcomes are aligned with specific learning needs of students and implementation of GenAI tools.

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