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Strategies to Disarm Fears Over Implementing AI

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More than two and a half years after the launch of ChatGPT, many school districts have passed the discovery phase of generative artificial intelligence, learning what it is and what it might be able to do, and their implementation phase is in full swing. For those looking to demystify the technology and get buy-in from teachers and parents while they do this, school and technology leaders from Allen-Stevenson School in New York City have some advice: Emphasize professional development, participation and communication.

Co-leading a session Monday at the International Society for Technology in Education (ISTE) conference in San Antonio, the school’s Upper Division Technology Integrator Sam Carcamo opened with a summary of the hurdles that people in his position face. What continues to make AI scary to teachers and parents, he said, are fears about its apparent potential for bias, hallucinations, eroding critical thinking, devaluing expertise, dehumanization and cheating, cheating, cheating.

His colleague Sarah Kresberg, director of library services and educational technology, said even at a well-funded private K-8 boys’ school like Allen-Stevenson, teachers weren’t sure what to do with ChatGPT at first. Hoping to find who the early adopters were, they started an AI club for teachers and administrators, which eventually became an AI council. For the 2023 school year, members ran trials of seven different AI tools, and eventually, “after a lot of hand-wringing,” Kresberg said, they settled on SchoolAI for two main reasons: They wanted something that K-8 students could interface with directly at their age, and they liked SchoolAI’s privacy policy.


The school’s Technology Integrator Ainsley Messina said they then developed an eight- to 10-hour professional development course.

“Our goal was to establish a shared vocabulary among our faculty no matter their comfort level with AI, whether they’d used it before or had not,” she said. “Throughout this PD course, we talked about AI literacy, AI ethics, we talked about bias that exists in AI, and we were talking about, ‘What should some of our concerns as educators be with AI coming our way? How do we need to change the way we teach in order for our students to be successful when they go on to our next schools?’”

Carcamo said the training involved having teachers fill out forms on what they were interested in, for future reference — report-card writing, unit planning, lesson planning or gamification. By fall 2024, Kresberg said, they convened again for roundtable discussions by topic. Each teacher had done a deep dive into a particular topic, so those who participated got together and discussed their thoughts and findings on it in depth, which were then shared with the larger group.

Carcamo, Kresberg and Messina said what came out of those discussions was a rough outline of what to do, or what they did, with AI in each grade:

  • Kindergarten to first grade: Teach students to recognize the difference between artificial and natural creations, and understand that AI is when people make machines act smartly.
  • Second grade: Start introducing the concept of generative AI and using SchoolAI.
  • Third grade: Have students chat with historical figures about their greatest achievements and what challenges they overcame, and gather information to write a three-paragraph essay about their historical figure.
  • Fourth grade: Go deeper into AI literacy. Use Common Sense Media, talk about bias in AI, how it can impact lives, how AI is trained and how it works. Use Google Teachable Machine, which uploads data to an AI to train it to do certain tasks.
  • Fifth grade: Using a giant one-paragraph mega-prompt crafted by a teacher, students were able to ask questions of an AI version of Marcus Aurelius. They were then assigned to use Canva to create comic books based on historical stories.
  • Sixth grade: Have students talk with an AI chatbot about the various rocks and minerals they were assigned, then use Adobe Express and generative AI to create geology trading cards. As other examples, sixth-grade English students were asked to describe locations and then fed those descriptions to an image generator to see what it would come up with. If students didn’t like what they saw, they would refine their description to get the AI closer to what they intended. Sixth-grade Spanish students were asked to write a story of an angel and a devil trying to convince a character to be naughty or nice, use Adobe Express to make an animated book, record their own audio for it and sync it to an animated mouth.
  • Seventh grade: Use ChatGPT to get detailed feedback on essays, and use Newsela to get writing feedback on pre-test assignments. They started a practice of allowing students to use Newsela to get feedback on every essay before turning it in. According to Kresberg, most students used it and said they found its labeling of paragraph parts very helpful, but she emphasized that students need a lot of practice writing.

Kresberg said the school initially put off talking to parents, but eventually it started a series of five parent engagement meetings throughout the year called “Tech Tuesdays,” about an hour each. In the fall, sessions were about how the school was using AI, and by spring they were covering how parents could use AI at home to help their children learn and to become better at executive functioning.

For technology integrators or anyone working with teachers, Messina recommended AI for Education’s six-week AI literacy trainer course, as well as the Women in AI and Education community on Slack.

Carcamo said that as staff started working on projects, that by itself started to raise interest among their colleagues.

The school, Kresberg said, has yet to make AI a mandate, but that hasn’t been a problem in their case.

“Obviously not everyone is using a lot of AI right now. We’re not mandating that anyone use it. We’re encouraging and facilitating people to use it. I’m not sure that we’re anywhere close to saying people have to use it for anything right now, but we don’t have any real naysayers either,” she said. “I know in some schools there are people who are making things difficult for the ones who want to use it, and luckily, we don’t have that. If people aren’t on board, they’re very quiet about it.”

Andrew Westrope is managing editor of the Center for Digital Education. Before that, he was a staff writer for Government Technology, and previously was a reporter and editor at community newspapers. He has a bachelor’s degree in physiology from Michigan State University and lives in Northern California.





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Education

Embracing complexity in writing instruction


Key points:

Early in our careers, when we were fresh-faced and idealistic (we still are!) the prepackaged curriculum and the advice of more experienced colleagues was the go-to resource. Largely, we were advised that teaching writing was a simple matter of having students walk through and complete organizers, spending about one day for each “stage” of the writing process. At the end of the writing unit, students had finished their compositions–the standardized, boring, recreated ideas that we taught them to write.

As we matured and grew as teachers of writing, we learned that teaching writing in such simplistic ways may be easier, but it was not actually teaching students to be writers. We learned with time and experience that writing instruction is a complex task within a complex system.

Complex systems and wicked problems

Complexity as it is applied to composition instruction recognizes that there is more than just a linear relationship between the student, the teacher, and the composition. It juggles the experiences of individual composers, characteristics of genre, availability of resources, assignment and individual goals, and constraints of composing environments. As with other complex systems and processes, it is non-linear, self-organizing, and unpredictable (Waltuck, 2012).

Complex systems are wicked in their complexity; therefore, wicked problems cannot be solved by simple solutions. Wicked problems are emergent and generative; they are nonlinear as they do not follow a straight path or necessarily have a clear cause-and-effect relationship. They are self-organizing, evolving and changing over time through the interactions of various elements. They are unpredictable and therefore difficult to anticipate how they will unfold or what the consequences of any intervention might be. Finally, they are often interconnected, as they are symptoms of other problems. In essence, a wicked problem is a complex issue embedded in a dynamic system (Rittel & Webber, 1973).

Writing formulas are wicked

As formulaic writing has become and remains prevalent in instruction and classroom writing activity, graphic organizers and structural guides, which were introduced as a tool to support acts of writing, have become a wicked problem of formula; the resource facilitating process has become the focus of product. High-stakes standardized assessment has led to a focus on compliance, production, and quality control, which has encouraged the use of formulas to simplify and standardize writing instruction, the student writing produced, and the process of evaluation of student work. Standardization may improve test scores in certain situations, but does not necessarily improve learning. Teachers resort to short, formulaic writing to help students get through material more quickly as well as data and assessment compliance. This serves to not only create product-oriented instruction, but a false dichotomy between process and product, ignoring the complex thinking and design that goes into writing.

As a result of such a narrow view of and limited focus on writing process and purpose, formulas have been shown to constrain thinking and limit creativity by prioritizing product over the composing process. The five-paragraph essay, specifically, is a structure that hinders authentic composing because it doesn’t allow for the “associative leaps” between ideas that come about in less constrained writing. Formulas undermine student agency by limiting writers’ abilities to express their unique voices because of over-reliance on rigid structures (Campbell, 2014; Lannin & Fox, 2010; Rico, 1988).

An objective process lens: A wicked solution

The use of writing formulas grew from a well-intentioned desire to improve student writing, but ultimately creates a system that is out of balance, lacking the flexibility to respond to a system that is constantly evolving. To address this, we advocate for shifting away from rigid formulas and towards a design framework that emphasizes the individual needs and strategies of student composers, which allows for a more differentiated approach to teaching acts of writing.

The proposed framework is an objective process lens that is informed by design principles. It focuses on the needs and strategies that drive the composing process (Sharples, 1999). This approach includes two types of needs and two types of strategies:

  • Formal needs: The assigned task itself
  • Informal needs: How a composer wishes to execute the task
  • “What” strategies: The concrete resources and available tools
  • “How” strategies: The ability to use the tools

An objective process lens acknowledges that composing is influenced by the unique experiences composers bring to the task. It allows teachers to view the funds of knowledge composers bring to a task and create entry points for support.

The objective process lens encourages teachers to ask key questions when designing instruction:

  • Do students have a clear idea of how to execute the formal need?
  • Do they have access to the tools necessary to be successful?
  • What instruction and/or supports do they need to make shifts in ideas when strategies are not available?
  • What instruction in strategies is necessary to help students communicate their desired message effectively?

Now how do we do that?

Working within a design framework that balances needs and strategies starts with understanding the type of composers you are working with. Composers bring different needs and strategies to each new composing task, and it is important for instructors to be aware of those differences. While individual composers are, of course, individuals with individual proclivities and approaches, we propose that there are (at least) four common types of student composers who bring certain combinations of strategies and needs to the composition process: the experience-limited, the irresolute, the flexible, and the perfectionist composers. By recognizing these common composer types, composition instructors can develop a flexible design for their instruction.

An experience-limited composer lacks experience in applying both needs and strategies to a composition, so they are entirely reliant on the formal needs of the assigned task and any what-strategies that are assigned by the instructor. These students gravitate towards formulaic writing because of their lack of experience with other types of writing. Relatedly, an irresolute composer may have a better understanding of the formal and informal needs, but they struggle with the application of what and how strategies for the composition. They can become overwhelmed with options of what without a clear how and become stalled during the composing process. Where the irresolute composer becomes stalled, the flexible composer is more comfortable adapting their composition. This type of composer has a solid grasp on both the formal and informal needs and is willing to adapt the informal needs as necessary to meet the formal needs of the task. As with the flexible composer, the perfectionist composer is also needs-driven, with clear expectations for the formal task and their own goals for the informal tasks. Rather than adjusting the informal needs as the composition develops, a perfectionist composer will focus intensely on ensuring that their final product exactly meets their formal and informal needs.

Teaching writing requires embracing its complexity and moving beyond formulaic approaches prioritizing product over process. Writing is a dynamic and individualized task that takes place within a complex system, where composers bring diverse needs, strategies, and experiences. By adopting a design framework, teachers of writing and composing can support students in navigating this complexity, fostering creativity, agency, and authentic expression. It is an approach that values funds of knowledge students bring to the writing process, recognizing the interplay of formal and informal needs, as well as their “what” and “how” strategies; those they have and those that need growth via instruction and experience. Through thoughtful design, we can grow flexible, reflective, and skilled communicators who are prepared to navigate the wicked challenges of composing in all its various forms.

These ideas and more can be found in When Teaching Writing Gets Tough: Challenges and Possibilities in Secondary Writing Instruction.

References

Campbell, K. H. (2014). Beyond the five-paragraph essay. Educational Leadership, 71(7), 60-65.

Lannin, A. A., & Fox, R. F. (2010). Chained and confused: Teacher perceptions of formulaic writing. Writing & Pedagogy, 2(1), 39-64.

Rico, G. L. (1988). Against formulaic writing. The English Journal, 77(6), 57-58.

Rittel, H. W. J., & Webber, M. M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4(2), 155–169.

Sharples, M. (1999). How we write : writing as creative design (1st ed.). Routledge. https://doi.org/10.4324/9780203019900

Waltuck, B. A. (2012). Characteristics of complex systems. The Journal for Quality & Participation, 34(4), 13–15.

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SUNY Orange to lead the way in AI healthcare education – Mid Hudson News

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SUNY Orange to lead the way in AI healthcare education  Mid Hudson News



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Educators lack clarity on how to deal with AI in classrooms

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An artificial intelligence furore that’s consuming Singapore’s academic community reveals how we’ve lost the plot over the role the hyped-up technology should play in higher education. 

A student at Nanyang Technological University said in a Reddit post that she used a digital tool to alphabetize her citations for a term paper. When it was flagged for typos, she was then accused of breaking the rules over the use of Generative AI for the assignment. It snowballed when two more students came forward with similar complaints, one alleging that she was penalized for using ChatGPT to help with initial research, even though she says she did not use the bot to draft the essay.

The school, which publicly states it embraces AI for learning, initially defended its zero-tolerance stance in this case in statements to local media. But internet users rallied around the original Reddit poster and rejoiced at an update that she won an appeal to rid her transcript of the ‘academic fraud’ label.

Also Read: Rahul Matthan: AI models aren’t copycats but learners just like us

It may sound like a run-of-the-mill university dispute. But there’s a reason the saga went so viral, garnering thousands of upvotes and heated opinions from online commentators. It has laid bare the strange new world we’ve found ourselves in, as students and faculty are rushing to keep pace with how AI should or shouldn’t be used in universities.

It’s a global conundrum, but the debate has especially roiled Asia. Stereotypes of math nerds and tiger moms aside, a rigorous focus on tertiary studies is often credited for the region’s dramatic economic rise. The importance of education—and long hours of studying—is instilled from the earliest age. So how does this change in the AI era? The reality is that nobody has the answer yet. 

Despite promises from ed-tech leaders that we’re on the cusp of ‘the biggest positive transformation that education has ever seen,’ the data on academic outcomes hasn’t kept pace with the technology’s adoption. There are no long-term studies on how AI tools impact learning and cognitive functions—and viral headlines that it could make us lazy and dumb only add to the anxiety. Meanwhile, the race to not be left behind in implementing the technology risks turning an entire generation of developing minds into guinea pigs. 

For educators navigating this moment, the answer is not to turn a blind eye. Even if some teachers discourage the use of AI, it has become all but unavoidable for many scholars doing research in the internet age. 

Also Read: You’re absolutely right, as the AI chatbot says

Most Google searches now lead with automated summaries. Scrolling through these should not count as academic dishonesty. An informal survey of 500 Singaporean students from secondary school through university conducted by a local news outlet this year found that 84% were using products like ChatGPT for homework on a weekly basis. 

In China, many universities are turning to AI cheating detectors, even though the technology is imperfect. Some students are reporting on social media that they have to dumb down their writing to pass these tests or shell out cash for such detection tools themselves to ensure they beat them before submitting their papers.

It doesn’t have to be this way. The chaotic moment of transition has put new onus on educators to adapt and shift the focus on the learning process as much as the final results, Yeow Meng Chee, the provost and chief academic and innovation officer at the Singapore University of Technology and Design, tells me. This does not mean villainizing AI, but treating it as a tool and ensuring a student understands how they arrived at their final conclusion even if they used technology. This process also helps ensure the AI outputs, which remain imperfect and prone to hallucinations (or typos), are checked and understood.

Also Read: Technobabble: We need a whole new vocabulary to keep up with the evolution of AI

Ultimately, professors who make the biggest difference aren’t those who improve exam scores but who build trust, teach empathy and instil confidence in students to solve complex problems. The most important parts of learning still can’t be optimized by a machine.

The Singapore saga shows how everyone is on edge and whether a reference-sorting website even counts as a generative AI tool isn’t clear. It also exposed another irony: Saving time on a tedious task would likely be welcomed when the student enters the workforce—if the technology hasn’t already taken her entry-level job. 

Demand for AI literacy in the labour market is becoming a must-have and universities ignoring it would do a disservice to student cohorts entering the real world.

We’re still a few years away from understanding the full impact of AI on teaching and how it can best be used in higher education. But let’s not miss the forest for the trees as we figure it out.  ©Bloomberg

The author is a Bloomberg Opinion columnist covering Asia tech.



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