Neural networks are a controversial subject: they bring both benefits and harm. This dilemma, which is growing into a problem, is especially relevant for teachers: school teachers have to move away from the usual homework standards in order to give students home tasks that they cannot solve with the help of AI bots. In this article, we will tell you how to understand whether a student is using neural networks and how to come up with a task that only a person can handle.
3 signs that the child did not do homework on his own
- Template formulations and copying meanings from sentence to sentence. Such errors are most noticeable in abstracts and reports, where the structure of work itself is carried out according to a template. If a similar problem crept into a creative essay, then everything becomes clear for sure.
- Unexpected additions to tasks. When children solve problems in mathematics and computer science, they usually just write examples, and when the same problems are solved by a neural network, they add explanatory text to them why such formulas or such a sequence were chosen.
- The quality of the text or solution is higher than the student's level. Everything is as simple and banal as possible here: if an inveterate C student suddenly starts doing homework at the level of second-year students, then he clearly has an AI assistant.
4 ways to make homework for children, not neural networks
- Complicate the question or the formulation of the task so that it is understandable only to the human mind. Many neural networks have not yet learned to recognize subqueries that are inside the main queries. If a student gives the bot a more complex task, then it will most likely complete only part of it.
- Create interactive tasks on online platforms. Some sites have a tab-based user tracking feature, and if a child switches sites to search for an answer online, the system will block their response or simply notify the teacher of the number of absences.
- Adapt the task to modern realities: allow students to legally use neural networks, but in compliance with the conditions. It is stupid to deny progress and fight it, but teaching schoolchildren to use an AI tool for the benefit of themselves and their development is a good idea and a competent pedagogical approach.
- Discuss the problem out loud. Talk to children about why delegating homework to neural networks can have negative consequences for them in the future, tell them how "ordinary" homework solutions are useful. Visual argumentation helps children better understand why they spend resources on a particular action.
Sometimes it is difficult to get used to innovations after many years of stagnation and uniform standards, but it is real and not as scary as it seems. First of all, it is important for teachers to accept the fact that today's schoolchildren study in new conditions that were previously difficult to imagine, and only then will they be able to find the strength to adapt to technological realities and make friends with progress.
By the way, as the experience of many teachers says, children also understand that neural networks are not yet omnipotent, and they themselves need homework for better mastery of the subject. So all is not lost for this generation!
