Publish at May 22 2024 Updated May 22 2024
A teacher's experience enables him to know fairly quickly which students will succeed easily, which will succeed with more work, which will need help and which will not be able to keep up with the pace of the group. He knows the threshold where requirements and possibilities meet.
Virtually anyone who can make it to the classroom on their own is smart enough to understand what's being taught; but some don't make it fast enough to fit into the flow; they need individualized teaching and also to give up for a while the idea of following the group. The important thing is to get there.
To establish his or her judgment, the teacher uses fairly simple indicators:
... elements which usually confirm the student's reputation and previous grades.
The cocktail of secondary indicators can be quite varied, with some well-organized or well-supported students succeeding even though they appear to be at a disadvantage, while others who seem perfectly capable of succeeding struggle with problems that have nothing to do with their studies.
The teacher can intervene in a limited way on several of these factors through his pedagogy, his follow-up, the teaching of work methods, support on certain essential elements, but it will be more difficult for him to intervene when family, social or physical problems interfere, and the more students he has, the more rigid the administration and the less support he has, the less he will be able to intervene.
A teacher is very good at making the connection between what's going on and the results he's getting; he knows what he has to do and what he has to ask of the students. Where it stops working is when students don't or can't collaborate. There are as many reasons for their difficulties as there are students, ranging from missing prerequisites to the person's beliefs, environment or ethics to parents and so on. And sometimes, the teacher knows he or she can do no more...
Faced with millions of situations, thousands of teachers have developed solutions that, for the most effective, are passed on in teacher training courses, but when new situations arise, everyone tries to cope as best they can. Many share their problems with their management, their union or on self-help websites, and slowly the education system changes its ways, without systematically improving teaching conditions over the long term. Intervention solutions remain individual, ad hoc and local.
But now that artificial intelligence makes it possible to compile millions of pieces of data and extract correlations across contexts - something no human can do on this scale - companies are beginning to offer reliable educational data analysis systems on a larger scale.
This began with some tutoring systems that learn from the data of those who attend them and adapt their recommendations accordingly, then followed LMSs (Learning Management Systems) and LRSs (Learming Record Systems) that go so far as to design training paths tailored to each individual. This is followed by institutional or governmental predictive systems, which track students' progress and flag up interventions to be made at various levels.
Where all these solutions converge is in the personalization of teaching. What's the point of teaching the advanced level to someone who hasn't mastered the basics of the subject? The right thing to do is to take care of the basics, not insist on advanced content! This is what personalized teaching makes possible, and what standard school organization makes difficult.
What's the point of trying to teach someone who's hungry, bullied, systematically cheats or has spent hours playing video games? The intervention to be made goes beyond the strictly pedagogical framework, and if we don't deal with it, we lose out all round. But how do you identify and respond to them? No one is going to brag about being in difficulty, least of all if they don't even recognize it. Data and A.I. make it possible to identify and report them without stigmatizing them.
The desire to implement the use of artificial intelligence in education, without modifying the way schools operate, promises mediocre results, far from expectations. Already, systems are recommending the grouping of different types of students according to their characteristics, which calls for a review of our inclusion and diversity practices. This is just one example. A.I. recommends personalized interventions, for both students and teachers; it's essential that the education system facilitates this.
We've all noticed that when someone frowns, something catches their eye. It may simply be an expression of surprise, astonishment or, more seriously, skepticism or incomprehension. What if he skips a line while reading, adds or subtracts a word while reading aloud, can't do what he used to do well? These are all observable signs. We don't need a person to tell us they're tired to see it in their features or perceive it in their voice: these are biomarkers, and they're being integrated into real-time artificial intelligence systems.
They can even be extended to an entire group. You don't need an A.I. to know when the majority of the class is falling asleep, but A.I. can be very useful in reminding the teacher what to do in this situation.
An A.I. can indicate intervention at the earliest precursors of a problem. If it seems neutral and reliable, it may be able to engage the individual where others cannot.
Illustration: stockbusters - DepositPhotos
References
Using artificial intelligence to analyze education data in Quebec
https://ici.radio-canada.ca/nouvelle/1868944/reseau-education-numerisation-donnees-roberge-caire-intelligence-artifielle
"the use of digital intelligence has made it possible to prevent academic failure by detecting, with a rate of over 90%, the students most at risk of dropping out as soon as they enter Secondary 1."
Artificial intelligence and education: new GRICS products
https://grics.ca/intelligence-artificielle-et-education-nouveaux-produits-grics/
"Allows - to see the state of academic success within the institution - to easily identify at-risk students."
Optania - Active Watch
https://www.optania.com/active-monitoring
"Active Monitoring provides the various school players involved with students with a fully automated, real-time analysis of school profiles. It highlights changes that merit special attention and enables preventive action to be taken with a student or group."
Vitafluence - Biomarkers
https://www.vitafluence.ai/
Your voice, your gaze, your expression as predictors
Century
https://www.century.tech/
"Intelligent personalisation improves student engagement and understanding
Century is helping teachers make effective interventions and saving them time on marking and data analysis."
How artificial intelligence is revolutionizing the personalization of learning - Académie CHUM
https://www.chumontreal.qc.ca/sites/default/files/2023-12/Personnalisation%20de%20l%27apprentissage.pdf
Online tutoring - All levels - Over 75 sites.
https://cursus.edu/fr/10953/soutien-scolaire-en-ligne-tutorat-tous-les-niveaux-plus-de-75-sites
Many are starting to integrate A.I. recommendations.
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