What are some of the major limitations of GenAI?
- Lack of Knowledge : GenAI is taught a certain level of knowledge. It may not have up to date information on specific events or topics.
- Biased Responses : With the knowledge that GenAI has, it may have biases present in the data. Typical biases could include stereotypes, cultural biases or environmental biases.
- Limited Creativity : GenAI may appear creative although there is no original thought behind it due to it being trained on how to respond.
- Lack of Reasoning : GenAI does not have the ability to reasons like a human can, therefore its responses can not apply common sense or make inferences.
- Dependency Risk : people may become overly dependent on GenAI, which can take away their ability to think critically or independently.
- Academic Integrity : Using GenAI in either assessments or assignments, may cause others to question the originality or creativity in ones work.
Possible uses for GenAI in school settings at the grade 2
- School Work
- GenAI can help students with their homework as it can guide the students through the necessary steps instead of giving them the answers right away.
- GenAI can simplify the explanations of concepts to a student who may not be understanding it right away.
- GenAI can help teachers by suggesting books that focus on students reading levels and interests.
- GenAI can aide students with their learning languages (new or native), it can create worksheets to expand their vocabulary or create simple conversations which allow students to practice their speaking and listening.
2. Classroom Management
- GenAI can provide teachers with strategies to positivity reinforce behaviour within the classroom.
- GenAI can create automated reminders about upcoming events or homework to help kids stay organized.
- GenAI can help teachers with relaxation activities that can help students regulate their emotions during chaotic times.
- GenAI can give prompts for journaling within the classroom that focus on reflections and feelings.
Not Appropriate uses for GenAI in school settings at the grade 2
- School Work
- Students may become dependant on GenAI to help them with their homework. This means the children may not be grasping the concepts of learning and start to lack their skills of thinking critically and problem solving.
- There is a lack of hands on learning, students at this age need lots of activities that have physical interactions. GenAI is not able to produce that.
- GenAI can be very complex and use words that are too complicated for this grade level.
- By using GenAI in the terms of homework may cause issues for students as they may not have the ability to access the internet let alone generative AI websites etc.
2. Classroom Management
- Children do not have a long attention span, therefore using GenAI to keep the students engaged will likely be difficult.
- Teachers will not have control over what the children are using AI for, this could lead to children seeing things they should not see or should be learning about just yet.
- Relying on GenAI can hinder experiences for students, like creating in person connections with their classmates and learning how to fluctuate in friendships.
How you’ve found GenAI useful or not for educational purposes.
GenAI has many different forms of being useful for educational purposes. In university I found it to be useful when analyzing or simplifying large texts. I find there are many times where the wording of assignments are complex or I do not understand it, therefore, generative AI is able to simplify that question so I can understand it.Things like voice to text is incredibly useful for students when it comes to writing assignments, many find it easier to voice their ideas and turn it into text rather than taking the time to write out all their thoughts. It is also useful when coming up with prompts for projects or assignments.
Although it can not be useful as I do not want to become reliant on it. I find it can be an easy way out and it is something that takes away from some of my learning. As we know sometimes generative AI can give us wrong answers or incorrect information, which can result in the wrong simplification or analysis of a text.