33 Matching Annotations
  1. Jul 2026
    1. Peer reviewer use of AI is unethical because confi-dentiality of the manuscript cannot be maintained.When accepting the review invitation, reviewers areinstructed not to share the manuscript

      Can still be leaked either way.

    2. offer them an encouraging word and affirm somestrengths of their work.

      Shows slight bias in the author as if AI gave peer review that showed weakness and where to improve the call for encouraging words would be nonexistent.

    3. When we let AI do that work for us, we’renot saving time; we’re outsourcing our thinking. Evenworse, we’re diluting the voice of nursing itself.”

      In a way this can support my idea that if AI is used to assist writing to a certain point, it is truly still human words and work that end up being published?

    4. but I will point out dangers of using AI: (1)to search scholarly literature, i2) to write manuscripts report-ing one’s own research or scholarly projects, and (3) to con-duct peer reviews of journal manuscript submissions.

      Main idea that the text is based around.

    5. Artificial intelligence has become a plague in higher educa-tion, with professors bemoaning AI-generated student essays,

      This supports my earlier claim in the real world AI usage has no real way of being restricted besides running work through an AI detector which can still be fooled.

    6. AI tools can only pro-duce information based on their training (which caninclude racial or gender bias)

      This helps to further the claim that AI only knows what it has been taught by people, that is why bias and in many cases this inability to detect sham papers can exist

    7. (one that exists to profit from large fees paidby authors, providing little or no peer review of arti-cle content)

      Would additional guidelines to a prompt not prevent this?

    8. I argue that Artificial Intelligence tools cannotbe trusted and should not be used for scholarly literaturesearches, for the following reasons:

      This article directly disagrees with "AI Is Like 50% Good and 50% Bad": Exploring the Strengths and Challenges of AI in the Elementary Writing Classroom.” And its claim that AI can effectively be used in the classroom and in its specific case to review writings created by students.

    1. students did not have directaccess to GenAI without teacher support during this unit, as wefelt teacher supervision was beneficial and also allowed for in-structional modeling and scaffolding

      50% good 50% bad decision, would this not skewer results to be more in favor of the use of AI? There is no way to properly restrict AI as of now, as such, in a normal classroom students would be able to use AI for whatever purpose they want.

    2. including planning,translating, and reviewing. Planning was central in studentswriting work with GenAI,

      The problem is that when students use AI they ask for the chatbot to do all the work for themselves. Few students would ask AI to review their work when the AI could just do it for them at a potentially higher level of proficiency.

    3. Yet challenges of integrat-ing GenAI into writing instruction exist, including difficultyrealizing student vision, bias and stereotyping, and unreliableinformation.

      These issues aren't even the half of it.

    4. it prompts students to engage more deeply withtheir own work, fostering a critical look at their prompts andrevisions.

      A great thing about AI is its constant ability for one on one work especially in something like writing when used properly.

    5. Lastly, stu-dents were expected to do the majority of the writing. In additionto writing their stories, they were expected to write and respondto GenAI prompts which supported the writing process

      proper use

    6. “Sometimes AI gets stuffwrong, because it's not taught everything yet. So, you can't al-ways trust it. It got taught by people, so it only knows what peo-ple know. And people … aren't always trustworthy, so you don'tknow if what it tells you is true.”

      The problem with AI learning from people is that many do not have good intentions and this creates bias inside of the AI, such as the aforementioned doctor being an old white man or the video game being about a boy. AI learns bias from the people it interacts with.

    7. and it isvaluable for teachers to develop protocols for intentional GenAIusage in the classroom.

      From personal experience even with protocols in place to try to limit the use of AI, nothing is 100% most students completely ignore warnings against the use of AI in the classroom.

    8. “biased” and “thinks boys should be in images of video gamesbecause people told it boys play more games than girls.

      AI only knows what its told, when people feed it the same things over and over again it takes that into stride and they become the norm when asked a certaIn question or prompt.

    9. we felt there is a great opportunityfor elementary teachers and students to explore writing withGenAI

      While this is true this experiment was not conducted under realistic pretenses. In a real classroom there would be no control over AI as it can be used from almost any device.

    10. dditionally, students found GenAI did not un-derstand their vision even when they reworked their prompts forclarity.

      AI is still new and is not bound to be perfect in any way thats why use of it in the classroom can be unpredictable there are many ways to get around restrictions as seen with the Snapchat AI.

    11. helping him bring his project to a satis-fying close

      I feel as though the biggest problem in the use of AI would be can this still be seen as the students work?

    12. making … a cookie story. We gave AI … a tiny hint about whatthe cookie story is. And then we tell it to make it better.”

      The difference between asking for feedback on how to improve and telling AI to improve the writing itself is massive.

    13. Throughout the project, studentsturned to GenAI to brainstorm ideas, develop plot points, andexplore suggestions for adjusting story length, genre, and tone.

      This would be considered proper use of AI, asking things that are beneficial to their learning. Its equivalent to asking ones teacher questions without having to wait your turn.

    14. These lessons boosted student interest and motiva-tion, as students became eager to utilize GenAI. We explainedthe procedures and expectations for utilizing GenAI. Studentswere expected to write a beginning draft of their story, thenwrite some tasks and potential prompts to ask GenAI.

      Intriguing how to use of AI boosted motivation, was it because this was a new tool capable of producing virtually anything that was asked of it?

    15. GenAI would be facilitated by a teacher, whichaimed to promote responsible use and privacy.

      This could be seen as non-realistic as in a real classroom there would be not authority over the use of AI. Students would be able to ask the AI to do whatever they want without being restricted by a teacher.

    16. images from textual descriptions, abilities that clearly haveimplications for literacy teaching and learning.

      How would the images have implications for learning? Visual learners?

    17. A prominentaffordance of digital technologies is that they can support chil-dren's ability to create, modify, and disseminate multimodal sto-ries that couple written text with images, narrations, and othermodalities that showcase students' stories, interests, and talent

      programs such as canva, ones that give ready to go templates and prefabs that students are able to change its shape, size, and color.

    18. AI is like … 50% good and 50% badbecause it like never gives you exactly what you want.It always gives you like, something close enough.

      A third grader made this statement?

    1. the burden ofdiscourse assimilation invariably falls on African American students

      The attempt to assimilate African American students into using only standard English?