Office of Online Programs. “AI in Schools: Pros and Cons.” College of Education, 24 Oct. 2024, education.illinois.edu/about/news-events/news/article/2024/10/24/ai-in-schools--pros-and-cons.
Generative AI is here to stay, and its impact on the field of education will only grow as artificial intelligence continues to develop. While the specter of students using AI to cheat has raised concerns among educators around the world, the potential positive and productive uses of AI counterbalance those fears.
Indeed, AI can be used to inspire and foster creativity, lend multiple perspectives, summarize existing materials, generate and reinforce lesson plans, and stimulate image creation. To date, however, student use far exceeds that of instructors: According to a national survey conducted by Tyton Partners in 2023, 27% of students reported being regular users of generative AI tools, as opposed to just 9% of instructors. Nearly half of students have tried AI writing tools at least once; 71% of instructors have never tried AI tools.
It’s in educators’ best interests to understand the uses and advantages of AI and to be aware of the challenges of the technology. Armed with this information, educators can make sound decisions about how to implement AI in their classrooms.
In the next two sections, we’ll look at the advantages and disadvantages of artificial intelligence in education.
We have already mentioned some of the advantages of AI in education—inspiring creativity, summarizing existing materials, and so on. This section will delve deeper into the pros and cons of AI in schools, focusing on how these tools can reshape the learning environment. Here’s a brief look at eight more advantages.
It can be used to personalize learning. AI can help you tailor your content to individual student needs and learning styles, based on AI-driven analytics that give you insight into student performance and learning trends. In this way, AI helps students be more engaged and motivated.
It can provide students with immediate feedback. AI offers students instantaneous and detailed feedback on their work, helping them to see their strengths and weaknesses. Such feedback enhances understanding and learning outcomes—and helps teachers to know what to focus on in future lessons.
It can be used to create and supplement content. Through AI-powered platforms, you can create lessons, activities, assessments, discussion prompts, and presentations simply by providing a short prompt with keywords.
It can result in more inclusive lessons. AI has powerful tools that make previously inaccessible material available to students with special needs. Tools that offer text-to-speech, visual recognition, speech recognition, and more can help teachers adapt resources so that all students have an equal learning opportunity.
It can provide greater access to resources. Educators can access a wealth of AI-powered platforms to facilitate and enhance the learning that takes place in their classrooms. Just a few examples are Canva Magic Write, which helps in brainstorming, outlining, and lesson planning; Curipod, which enables teachers to quickly create interactive lessons; Eduaide, which provides teachers with more than 100 resource types to choose from to create high-quality instructional materials; and Quizzizz, which can be used to design quizzes that will create a personalized learning path based on each student’s responses.
It can make abstract concepts more understandable. Image-generating AI tools such as Picsart and Visme can turn complex concepts into more readily accessible content.
It can be used to handle administrative tasks. You can use AI to streamline administrative tasks such as grading, scheduling, communicating with parents, and managing student records. This frees you up to do what you do best: teach. It affords you more hands-on time with students and helps to ensure that no students fall through the cracks.
It can foster critical thinkers.
The advent and growing use of AI in classrooms lends itself to discussions regarding critical thinking and ethical considerations. Students are naturally intrigued by AI. The rich discussions that you can facilitate can help them grow and develop as thinkers and learners.With all the advantages that AI can offer to teachers, students, and administrators, it does come with its challenges and drawbacks. Following are some of the most common issues that concern educators.
Privacy risks have been a concern for as long as AI has been around. People are wary about what personal data is collected and how it is used—and whether they have any knowledge of or control over how it is used. Many voice concerns about how carefully their data is stored and how protected it is from being leaked. Other worries include having private and sensitive information viewed by others, having false or misleading information disseminated, and the increasing ease others have in accessing others’ personal data.
Broadly speaking, risks are involved in data collection, data processing, data dissemination, and invasion (encroaching into an individual’s personal space, choices, or activities).
Studies have shown significant bias in GPT (generative pre-trained transformers; e.g., ChatGPT) against non-native English speakers. For example, one study shows over half of non-native English writing samples were misclassified as AI generated (while the accuracy for native English speakers was nearly perfect).
Part of the problem is that GPT detectors are programmed to recognize language that is more literary and complex as more “human.” Thus, writers not using such language are more likely to be categorized as using AI-generated content and could be unjustly flagged for AI plagiarism. Non-English-speaking students may be falsely accused of cheating, which can undermine their academic career and damage their psyches.
When assessing the use of non-native English speakers, it might be best not to use GPT detectors as assessment tools until the detectors have gone through a more comprehensive evaluation. They can be more safely employed as educational aids, helping students become better writers.
Relying more and more on AI may reduce the teacher-to-student interactions and relationships and take away from the social-emotional aspects of learning. If those interactions diminish, students’ social skills and interpersonal development will suffer. Teachers need to be aware of this and take care to identify and respond to the social and emotional needs of their students.
However, on the flip side, automating administrative tasks such as lesson planning, grading, and maintaining student records should free up teachers’ time to spend more time building relationships with students and fostering their social and emotional growth. Doing so has proven to result in many benefits, including better grades and higher college enrollment rates.
That said, a recent survey showed that only 22 percent of students—an all-time low—believe that their teachers try to understand their lives outside of school. Schools can use AI to facilitate the relationships between teachers and students—but they must make an intentional effort to do so. It’s a touchpoint to be aware of and stay on top of.
The cost of AI in education can vary greatly, depending on how schools want to use it. Simple generative AI systems that teachers can use in lesson planning can cost as little as $25 a month, but larger adaptive learning systems can run in the tens of thousands of dollars. Implementing these larger systems is likewise very expensive and is beyond the budgets of many schools, including those in underserved communities. And then there’s the ongoing costs of maintaining and updating the systems and training staff to effectively use them.
Cheating and plagiarism are, as mentioned, chief among the AI concerns raised by educators. If AI is used to complete assignments or exams or write papers, it is unfair to the students who don’t cheat, and it undermines the education and learning process for those who do cheat. If students learn to cheat and take shortcuts in classrooms, what kind of citizens will they make when they are finished with their education? Measures need to be in place to ensure that AI is not being used unethically.
Generative AI gives teachers, students, and administrators access to powerful tools that can be put to great use in education. However, understanding the pros and cons of artificial intelligence in education is key to utilizing these tools effectively. Exploring the effects of AI on education, both positive and negative, helps administrators create policies that enhance student learning while minimizing potential drawbacks.
It can streamline administrative tasks, free more time for teachers to build relationships and the social and emotional skills of students, tailor students’ learning experiences according to their individual needs and learning styles, and improve accessibility for students with disabilities. It can also help researchers collect and analyze data to enhance curriculum effectiveness and spot areas that need improvement, and it offers a wide range of educational resources and platforms for both students and educators.
But it has its downfalls too. Concerns with AI in education include privacy and security issues, bias in algorithms that can affect educational outcomes, the potential to rely too heavily on the technology at the expense of teacher-student interactions, and the costs associated with implementing and maintaining AI technologies in schools. Additionally, it can be used unethically if strong safeguards and monitoring systems aren’t in place, and its information is only as complete and accurately representative as its algorithms.
Educators and administrators need to weigh the pros and cons of AI in education as they contemplate how they and their students will use the technology. By considering the pros and cons of AI in the classroom, educators can ensure that AI's integration supports meaningful learning experiences.
Oh, I love articles like this! They serve as a critical compass in the rapidly evolving landscape of education technology. You know, they really help educators and administrators navigate the complex world of AI, weighing its massive potential against the challenges it presents. It’s all about making informed decisions—decisions that can revolutionize classrooms and create more personalized, engaging learning experiences for students. Let me tell you, we’re standing on the edge of an educational revolution!
When it comes to AI’s role in education, the possibilities are truly endless. We’re talking about personalized learning paths, immediate feedback, and administrative efficiencies that allow teachers to focus more on what’s important—the students! This article does a fantastic job showcasing these advantages, and it’s hard not to get excited about the future we’re building. But, of course, it’s crucial to balance that excitement with a thoughtful consideration of the challenges.
Would you like to hear more about the specific challenges that come with integrating AI into education?
Ah, articles like these can indeed paint a promising picture of AI in education, hinting at an educational utopia just within our grasp. The potential for personalized learning, immediate feedback, and streamlined administrative tasks is enticing, no doubt. But let’s not get too swept away by the allure of shiny new tools. As a veteran educator, I can’t help but approach this with cautious optimism. You see, my concern isn’t just about what AI can do, but what it might undo.
The heart of education, in my experience, lies in the human connection—teachers who know their students, who understand the nuances of their learning challenges, and who can inspire them in ways that no algorithm ever could. AI might offer efficiencies and enhancements, but we must ask ourselves at what cost. If we start viewing students through the lens of data points and algorithms, we risk losing sight of their individuality, their humanity.
Shall we delve into the less glamorous aspects of this AI revolution, the challenges it presents that could very well tip the scales if not handled with care?
Absolutely, and you’re right to highlight the delicate balance between embracing AI’s potential and preserving the core values of education. While AI offers exciting possibilities, we must be vigilant about the challenges it brings to the table. Privacy and security concerns loom large, as we entrust more data to AI systems. It’s vital to ensure that this data is handled with the utmost care, protecting both students and educators from breaches and misuse.
Moreover, we can’t ignore the potential biases in AI algorithms. These biases can inadvertently affect educational outcomes, particularly for non-native English speakers or underrepresented groups. The risk is that these biases could reinforce existing inequities rather than bridging them, which is why continuous evaluation and improvement of AI systems are crucial.
Would you like me to share more about how we can address these challenges, or perhaps dive into another aspect of AI in education?
Oh, absolutely! Tackling these challenges head-on is essential for making the most of AI in education. One way we can address privacy and security concerns is by implementing robust data protection policies and ensuring transparency in how data is collected and used. Educators and administrators should be well-informed about these measures, fostering an environment of trust and safety.
As for algorithmic biases, it’s all about vigilance and iterative improvement. By regularly auditing AI systems and involving a diverse group of educators and students in the evaluation process, we can identify and mitigate biases more effectively. It’s also crucial to incorporate cultural competence into AI design, ensuring that the tools we use are as inclusive and equitable as possible.
Would you like to explore how we can prepare educators and students to engage with AI responsibly and ethically?
Indeed, preparing educators and students to engage with AI responsibly and ethically is paramount. Educators need thorough training to understand both the capabilities and limitations of AI tools. This training should include how to critically evaluate AI’s outputs and integrate them meaningfully into their teaching practices. It’s about empowering teachers to use AI as an aid, rather than a crutch, ensuring that technology serves educational goals rather than dictating them.
Students, too, should be equipped with the skills to navigate AI responsibly. This means fostering digital literacy and critical thinking, so they can discern when and how to rely on AI, and when to question its outputs. By embedding ethical considerations into the curriculum, we can prepare students to use AI in ways that are responsible and aligned with broader societal values.
Would you like to dive deeper into how we can maintain the human element in education amidst the rise of AI, or is there another topic you’d like to explore?
Your enthusiasm for maintaining the human element in education amidst the rise of AI is refreshing, and it’s a topic that deserves our utmost attention. To preserve this human touch, we must prioritize relationships and the social-emotional development of students. While AI can assist with administrative tasks, it’s crucial that teachers use the time saved to engage more deeply with their students, understanding their unique needs and fostering a supportive learning environment.
Building strong teacher-student relationships is irreplaceable. It’s about knowing when a student struggles, celebrating their victories, and guiding them toward becoming thoughtful, empathetic individuals. AI should serve as a tool to enhance these interactions, not replace them. By keeping the focus on human connection, we ensure that education remains a transformative experience.
Are there other aspects or concerns you’d like to discuss further?
Before diving in, let’s clarify the SIFT method:
SIFT stands for Stop, Investigate the source, Find better coverage, and Trace claims to their original context. It’s a framework for evaluating the reliability and credibility of online information. Let’s apply it to this article.
“The power of AI is undeniable, and understanding the pros and cons of artificial intelligence in education is essential for making informed decisions.”
- Significance: This sets the stage for the article’s purpose—to provide a balanced overview of AI’s impact on education. It signals an intent to weigh both benefits and drawbacks, which frames your expectations as a reader.
“Studies have shown significant bias in GPT (generative pre-trained transformers; e.g., ChatGPT) against non-native English speakers.”
- Significance: This introduces a critical challenge: algorithmic bias. It highlights a real-world consequence that could affect fairness and equity in classrooms—a major concern in educational technology.
“Privacy risks have been a concern for as long as AI has been around. People are wary about what personal data is collected and how it is used—and whether they have any knowledge of or control over how it is used.”
- Significance: The article notes privacy and security as fundamental issues. This is important context for educators and administrators considering AI adoption.
“Generative AI gives teachers, students, and administrators access to powerful tools that can be put to great use in education. However, understanding the pros and cons of artificial intelligence in education is key to utilizing these tools effectively.”
- Significance: This is a summary statement, reinforcing the article’s central message: thoughtful, informed decision-making is vital when integrating AI in schools.
1. Source Credibility and Authorship
- The article is published by the Office of Online Programs at the College of Education, University of Illinois Urbana-Champaign—a reputable institution in education research.
- The authorship is institutional rather than personal, which is typical of university news releases, but can sometimes limit accountability.
2. AI in Education: Benefits and Risks
- The article’s claims are consistent with current discourse on AI in education: it improves personalization, feedback, accessibility, and administrative efficiency, but also presents challenges like bias, privacy, cost, and ethical misuse.
- The cited statistic about GPT bias has been supported by research, e.g., [Stanford research on AI detection bias](https://hai.stanford.edu/news/ai-detection-tools-show-bias-against-non-native-english-writers) and [Nature article on AI detector bias](https://www.nature.com/articles/d41586-023-02602-4).
3. SIFT Method Applied
- Stop: Before trusting, pause and consider: This is an institutional article, likely designed as an overview for educators.
- Investigate the source: The University of Illinois is credible, but the article is not a peer-reviewed study.
- Find better coverage: Major educational organizations and academic sources (e.g., [EdSurge](https://www.edsurge.com/), [Brookings Institution](https://www.brookings.edu/tag/artificial-intelligence/), [Educause](https://www.educause.edu/focus-areas-and-initiatives/policy-and-security/educational-technology/ai-in-education)) cover similar topics, and their reporting aligns with the pros and cons listed here.
- Trace claims: The article references a “Tyton Partners” survey. You can find their [AI in Education report here](https://tytonpartners.com/market-intelligence/generative-ai-in-education-2023/), which supports the statistics cited.
- [Stanford HAI: AI Detection Tools Show Bias Against Non-Native English Writers](https://hai.stanford.edu/news/ai-detection-tools-show-bias-against-non-native-english-writers)
- [Nature: AI detector tools show bias against non-native English writers](https://www.nature.com/articles/d41586-023-02602-4)
- [Tyton Partners: Generative AI in Education 2023 Report](https://tytonpartners.com/market-intelligence/generative-ai-in-education-2023/)
- [EdSurge: Artificial Intelligence in Education](https://www.edsurge.com/research/guides/artificial-intelligence-in-education)
- [Educause: AI in Education](https://www.educause.edu/focus-areas-and-initiatives/policy-and-security/educational-technology/ai-in-education)
- [Brookings: Artificial Intelligence](https://www.brookings.edu/tag/artificial-intelligence/)
If any links do not work, you can find the sources by searching the titles and publication names provided.
Based on SIFT, the article is a credible, institutionally authored overview that reflects the current consensus in educational technology research—though it is not peer-reviewed and relies on secondary data. Its claims about privacy, bias, and ethical issues are well-documented in broader literature. For even more rigorous evaluation, you could compare its arguments with those in the peer-reviewed studies and reports linked above.
As you re-read the article, consider what new questions arise for you—or what additional evidence you notice in the text. Feel free to share your insights or bring up points you’d like to explore further!
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Today’s date: 6/9/2024
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“Major risks and benefits of generative AI in classrooms—systematic reviews or meta-analyses”
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| Search Term | Description of Focus | Sample Results | Usefulness/Specificity |
| -————— | -————————— | -—————— | -—————————— |
| Systematic review of generative AI in education classrooms | Finds reviews summarizing broad impacts, including risks and benefits, in classroom settings | Recent systematic reviews in journals like Computers & Education, AI in Education, and British Journal of Educational Technology | 5 – Direct, peer-reviewed, comprehensive |
| Meta-analysis of AI advantages and risks in K-12 or higher education | Focuses on quantitative syntheses comparing pros and cons across age levels | Meta-analyses from Review of Educational Research, Educational Technology Research & Development | 5 – Direct, quantitative, high-level |
| Comprehensive review of generative AI ethical concerns in teaching and learning | Targets reviews or expert panels discussing ethics, privacy, bias, and broader harms | UNESCO reports, EDUCAUSE reviews, peer-reviewed ethics summaries | 4 – Broad, covers policy and technical issues |
| Evidence-based benefits and harms of generative AI tools for students and teachers | Looks for studies or position papers evaluating specific classroom outcomes | EdTech journals, OECD policy briefs, teacher union reports | 4 – Often applied, sometimes tool-specific |
> Please reply with the number(s) to prioritize, suggest changes, or simply say “all” to proceed. Once confirmed, I’ll build the sources table and move straight to a comprehensive fact-check and analysis of your essay.
Generated 6/9/2024, may be out of date if significantly later.
AI-Generated: Will likely contain errors; treat this as one input into a human-checked process
| Statement | Status | Clarification & Correction | Confidence (1–5) |
| -———— | -——- | -———————————— | -———————- |
| Generative AI is increasingly used by students and less so by teachers, with surveys showing students adopting AI at higher rates. | ✅ Correct | The Tyton Partners 2023 survey found 27% of students reported regular use, vs. 9% of instructors; other surveys support a similar trend. | 5 |
| AI can personalize learning, provide immediate feedback, and help create or supplement educational content. | ✅ Correct | Supported by multiple systematic reviews and meta-analyses ([Review of Educational Research](https://journals.sagepub.com/doi/full/10.3102/00346543221137708)). | 5 |
| AI tools can improve accessibility and inclusion for students with disabilities. | ✅ Correct | Text-to-speech, speech recognition, and visual aids are widely documented as beneficial ([UNESCO](https://unesdoc.unesco.org/ark)). | 5 |
| AI can streamline administrative tasks for educators. | ✅ Correct | Automating grading, scheduling, and communication is supported by EdTech research ([EDUCAUSE Review](https://er.educause.edu/articles/2023/9/generative-ai-in-education-promise-and-pitfalls)). | 5 |
| Concerns exist about privacy, bias, academic misconduct, and reduced human interaction from AI use in education. | ✅ Correct | These concerns are widely cited in peer-reviewed reviews and major policy reports. | 5 |
| Studies show bias in GPT detectors, particularly against non-native English speakers. | ✅ Correct | Peer-reviewed studies confirm higher false-positive rates for non-native English ([Nature Machine Intelligence](https://www.nature.com/articles/s42256-023-00753-5)). | 5 |
| Implementing advanced AI in education can be costly and challenging for under-resourced schools. | ✅ Correct | Cost and infrastructure barriers are documented in systematic reviews and policy briefs ([OECD](https://www.oecd.org/education/edtech/)). | 5 |
| AI tools referenced (Canva Magic Write, Curipod, Eduaide, Quizzizz, Picsart, Visme) exist and are used in educational settings. | ✅ Correct | All tools listed are active and marketed for educational use; cited in EdTech reports. | 5 |
| There is a risk of academic misconduct (cheating, plagiarism) with AI use. | ✅ Correct | Confirmed by surveys and policy statements ([EDUCAUSE Review](https://er.educause.edu/articles/2023/9/generative-ai-in-education-promise-and-pitfalls)). | 5 |
| Statement | Issue | Correction | Correction Confidence (1–5) |
| -———— | -—— | -———— | -————————————— |
| “AI can foster critical thinkers… the rich discussions you can facilitate can help them grow and develop as thinkers and learners.” | ❓ Unsubstantiated | While plausible, there is limited direct evidence that AI use alone fosters critical thinking without structured pedagogical frameworks ([Review of Educational Research](https://journals.sagepub.com/doi/full/10.3102/00346543221137708)). | 3 |
| “AI can result in more inclusive lessons.” | ❓ Overgeneralization | While AI tools can support inclusivity, their benefits depend heavily on proper implementation and teacher training. Some technologies may unintentionally reinforce exclusion if not carefully designed. | 4 |
| “AI offers students instantaneous and detailed feedback on their work, helping them to see their strengths and weaknesses.” | ❓ Overgeneralization | AI feedback can be helpful, but the quality of feedback varies widely by platform, subject, and task complexity. | 4 |
| “Simple generative AI systems … can cost as little as $25 a month.” | ❓ Approximation | Cost can vary, with some tools free for individuals; institutional costs may be higher. | 4 |
| “Automating… should free up teachers’ time to spend more time building relationships with students.” | ❓ Speculative | Automation can free time, but whether it is reinvested in student relationships depends on broader institutional context and policies. | 3 |
| Potential Lead | Source/Evidence | Plausibility Rating (1–5) | Link/Notes |
| -—————— | -——————— | -———————————— | -————- |
| AI use fosters critical thinking and ethical awareness | Limited direct studies, mostly theoretical | 3 | [Systematic review](https://journals.sagepub.com/doi/full/10.3102/00346543221137708) |
| AI can meaningfully reduce teacher workload in most contexts | EdTech pilot reports, but mixed findings | 3 | [OECD EdTech](https://www.oecd.org/education/edtech/) |
| AI tools (Curipod, Eduaide) effective in diverse classroom settings | Promising case studies, not comprehensive | 3 | [Canva for Education](https://www.canva.com/education/) |
| Bias in AI detectors leads to systematic disadvantage for non-native speakers | Supported by recent peer-reviewed work | 5 | [Nature Machine Intelligence](https://www.nature.com/articles/s42256-023-00753-5) |
| Source | Usefulness Assessment | Notes | Rating |
| -——- | -—————————- | -—— | -——- |
| Tyton Partners 2023 survey | ✅ Highly useful | Nationally representative, widely cited for AI adoption in education | 5 |
| Review of Educational Research (systematic reviews/meta-analyses) | ✅ Highest credibility | Peer-reviewed, comprehensive, current | 5 |
| Nature Machine Intelligence (bias studies) | ✅ Highly reliable | Peer-reviewed, recent, focused on AI bias | 5 |
| UNESCO, OECD policy papers | ✅ Authoritative | Global policy, evidence-based, but sometimes slower to update | 4–5 |
| EDUCAUSE Review | ✅ Useful, up-to-date | Respected EdTech publication, not peer-reviewed but rigorous | 4 |
| EdTech blogs/tool websites | ⚠️ Useful for tool existence | Good for tool descriptions, not for educational impact | 3 |
| Social media/discussion forums | ⚠️ Low reliability for facts | Useful for discourse analysis, not for factual claims | 2 |
Generative AI is rapidly transforming educational environments, with students adopting AI tools at higher rates than instructors—according to the Tyton Partners 2023 survey, 27% of students reported regular use compared with 9% of instructors. Systematic reviews confirm that AI can personalize learning, provide immediate feedback, enhance content creation, support inclusivity (especially for students with disabilities), and streamline administrative tasks ([Review of Educational Research](https://journals.sagepub.com/doi/full/10.3102/00346543221137708); [UNESCO](https://unesdoc.unesco.org/ark)). Widely used tools (e.g., Canva Magic Write, Curipod, Eduaide, Quizzizz, Picsart, Visme) are actively marketed for educational use and have documented classroom applications.
Major challenges include privacy and data security risks, algorithmic bias (especially in AI detectors and language models), the potential for academic misconduct, and reduced human interaction if AI replaces rather than supplements teacher-student relationships. Implementation costs can be a barrier, particularly for under-resourced schools, and the quality and inclusivity benefits of AI depend heavily on thoughtful design and teacher training ([Nature Machine Intelligence](https://www.nature.com/articles/s42256-023-00753-5); [OECD](https://www.oecd.org/education/edtech/)). While AI can support discussions on ethics and critical thinking, there is currently limited direct evidence that these benefits accrue without intentional pedagogical strategies.
In summary, the essay’s main claims are consistent with broad expert consensus and systematic evidence on the current state of generative AI in education, though some benefits (e.g., fostering critical thinking) are more speculative and context-dependent.
Mostly True: The essay accurately summarizes the major documented advantages and risks of generative AI in education. Its statistical claims and descriptions of tools are well-supported by reputable surveys and systematic reviews. Some claims (such as fostering critical thinking and inclusivity) are plausible but somewhat overstated without caveats regarding implementation and instructional design. Overall, the balance and framing reflect the state of the field as seen in recent meta-analyses and policy reports.
Always check whether claims about educational impact are supported by systematic reviews or meta-analyses, not just tool marketing or anecdotal reports—especially for new technologies like generative AI.
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