12 Matching Annotations
  1. Nov 2025
    1. Cognitive offloading refers to the use of external tools to reduce strain on working memory.

      this is again the question that needs to be asked about the negative effects of the use of AI in the classroom. will the reliance of using AI have a negative effect on the critical thinking of the people using it?

    2. Leaving aside the question of how many student users of ChatGPT are using it to cheat, we must ask how can educators best encourage students' ongoing commitment to the friction that is productive learning? How do we harness students' intrinsic motivation to develop the knowledge and skills like critical thinking that will confer agency in an AI-fueled world?

      this is a very good question to ask. to me this is the question that needs to be answered will it be used as a tool to help a student learn or will it be a crutch? will students be tempted to cheat using ChatGPT?

    3. the tools must be well designed, effectively used, and carefully governed (Loble & Hawcroft, [ 8 ]; Loble & Stephens, [ 9 ]). We have also found that of these three broad criteria for edtech efficacy, good governance—encompassing data privacy, security, and ethical use—gets the most attention. This is understandable, especially as some tools move into uncharted territory of psychosocial assessment and even counseling. But by focusing primarily on governance, we can leave the questions of good design and use comparatively underserved. These articles help fill one of those gaps.

      "the tools must be well designed, effectively used and carefully governed" part is nice it shows that educating teachers in using AI is a high priority so they will be able to fully and effectively use the tool to make their jobs easier and the government needs to set up a system so AI isn't abused or misused.

    4. Using the educational theory of cognitive apprenticeship, they provide a framework for educators to help students engage with AI tools in a transparent and supportive way, "to optimize their learning and writing without undermining their creative potential," including strategies to fade out support as student expertise grows.

      "to optimize their learning and writing without undermining their creative potential" is a pretty great line. I like how it connects with the AI study in Nigeria with early childhood development. AI needs to be looked at as a tool to help optimize the students experience.

    5. unless it fails to fix its inherent reliability issues, stops "hallucinating" and the hype bubble bursts (Marcus, [11]), making it another example of technology's failure to realize educational potential for students and teachers in classrooms.

      I don't understand the stops "hallucinating" thing as a negative i might have to research more about this negative part of AI and its unreliability at times.

    6. In April, as we write the introduction to this issue on Artificial Intelligence and Education, ChatGPT reportedly has 400 million weekly users worldwide, the majority of whom are students (Barnum & Seetharaman, [ 3 ]). It's been one of the fastest ever technology take ups and this month's White House Executive Order aims to substantially expand the skills, use, and understanding of AI in education (Exec Order No. 3 C.F.R. 14277, [ 4 ]).

      excellent quote to use for the 400 million new weekly users a majority of which are students. I can use this during the introduction when explaining AI.

    1. Educators expressed concerns about data privacy and the ethical implications of using AI tools inearly childhood classrooms. Many were unsure about how student data was being collected,stored, and used, and there were no clear guidelines on obtaining parental consent

      some good negative concerns with how the students information will be stored and used. wouldn't want any one to be turning a profit from the children's information without their permission.

    2. 78 IJEDICTEthical considerations are also paramount in the successful integration of AI in education.Developing comprehensive data protection policies that are specific to educational settings willsafeguard student privacy and ensure responsible AI use. Policies must mandate parental consentfor data collection, and AI developers should be required to ensure algorithm transparency andconduct regular audits to identify and mitigate biases. Educator training should include modules ondata privacy and ethical AI use, while parental engagement initiatives can build trust and fosterbroader acceptance of AI tools.

      a good answer to the question i annotated before.

    3. Similar results have been observed in countries like Finland, where AI-powered learningenvironments were linked to enhanced executive functioning skills such as working memory andcognitive flexibility (Holmes et al., 2021). AI tools that incorporate interactive problem-solvingactivities and puzzle-based challenges foster critical thinking and cognitive growth in younglearners.

      i like the global comparisons in this study. it helps to have different information to work with. the bit about it helping kids with their executive functioning skills like working memory and cognitive flexibility.

    4. AI-driven tools, particularly those offering personalized phonics exercises and interactive readingcomprehension activities, contributed to faster literacy development. The adaptive learningalgorithms identified individual student weaknesses and adjusted content accordingly, allowing fortargeted interventions

      more great evidence showing that AI tools help with childhood literacy development. again it feels like the biggest strength is having a teacher be able to identify student weaknesses faster. it feels like it gives the instructors more reach in the amount of students they can handle and not only helping but improve student literacy development.

    5. The analysis revealed significant improvements in literacy skills among students in AI-enhancedclassrooms compared to those in traditional classrooms.• Pre-Test Results (Literacy):o Experimental Group (AI-enhanced): Mean score = 45%o Control Group (Traditional): Mean score = 44%• Post-Test Results (Literacy):o Experimental Group (AI-enhanced): Mean score = 78%o Control Group (Traditional): Mean score = 61%• Statistical Analysis

      this study did find a 33% increase in the literacy increase showing that AI used in early childhood writing can be more effective than the 17% increase of the 100 students that used traditional methods. this is a good part to use in my research paper.

    6. AI technologies enable personalized learning by adapting educational content to the specific needs,pace, and learning styles of individual students. Through machine learning algorithms and data-driven insights, AI can identify each child’s strengths and weaknesses, providing customizedinstructional paths that promote effective learning.

      I think being able to tailer a child's specific needs in their writing plan is a very useful tool as a teacher. sometimes children feel left behind and discouraged because a teacher is truly only one person.