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"In a Copenhagen suburb, a fifth-grade classroom is having its weekly cake-eating session, a common tradition in Danish public schools. While the children are eating chocolate cake, the teacher pulls up an infographic on a whiteboard: a bar chart generated by a digital platform that collects data on how they've been feeling. Organized to display the classroom's weekly "mood landscape," the data shows that the class averaged a mood of 4.4 out of 5, and the children rated their family life highly. "That's great!" the teacher exclaims, raising two thumbs up in the air. She then moves to an infographic on sleep hygiene. Here the data shows the students struggling, and the teacher invites them to think of ways to improve their sleeping habits. After briefly talking among themselves, the children suggest "less screen time at night," "meditation before sleep," and "having a hot bath." They collectively make a commitment to implement these strategies. At next week's cake time, they will be asked whether or not they followed through."

"In this future, teachers assisted in marking and lesson planning by LLMs would be left with more much-needed time to focus on other elements of their work. However, in a bid to cut costs, the "teaching" of lessons could also be delegated to machines, robbing teachers and students of human interaction. "Of course, that will be for the less well-off students," Luckin says. "The more well-off students will still have lots of lovely one-to-one human interactions, alongside some very smartly integrated AI." Luckin instead advocates a future in which technology eases teachers' workloads but does not disrupt their pastoral care - or disproportionately affect students in poorer areas. "That human interaction is something to be cherished, not thrown out," she says."

"In October, American teachers prevailed in a lawsuit with their school district over a computer program that assessed their performance. The system rated teachers in Houston by comparing their students' test scores against state averages. Those with high ratings won praise and even bonuses. Those who fared poorly faced the sack. The program did not please everyone. Some teachers felt that the system marked them down without good reason. But they had no way of checking if the program was fair or faulty: the company that built the software, the SAS Institute, regards its algorithm a trade secret and would not disclose its workings."

"It is also self-improving. The 10-year-old grading software leverages deep learning algorithms to "compare notes" with human teachers' scores, suggestions, and comments. An engineer involved in the project compared its capabilities to those of AlphaGo, the record-breaking AI Go player developed by Google subsidiary DeepMind."

"Robots will begin replacing teachers in the classroom within the next 10 years as part of a revolution in one-to-one learning, a leading educationist has predicted. Sir Anthony Seldon, vice-chancellor of the University of Buckingham, said intelligent machines that adapt to suit the learning styles of individual children would soon render traditional academic teaching all but redundant."

"Students on online courses report insufficient interaction and familiarity with their instructors and a lack of motivation. Feedback in one study included: "I want a real teacher", "I prefer a course taught by a human" and "There is no instructor personality interjected into the course". So, how do instructors overcome this perception and ensure students view them as "present" in online courses? "

"However, executives at anti-cheating software maker Turnitin say they've cracked the code. The company, which works with thousands of universities and high schools to help teachers identify plagiarism, said it plans to roll out a service this year that can accurately tell whether ChatGPT has done a student's assignment for them. "