India: Future engineers use AI everywhere, except where their degrees and recruitments are held
A study of 23 Indian students and young graduates describes a large gap: AI-oriented companies, but exams and campus hiring tests that exclude it.
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A study of 23 Indian students and young graduates describes a large gap: AI-oriented companies, but exams and campus hiring tests that exclude it.
Tested on 153 students, both models do not identify "intuitive" and "global" profiles, which weakens dialogue-based personalization.
117 adults solved exercises on paper with three types of help. Seeing the live draft and intervening without waiting for the question makes the tutor more useful, and 255,984 images are published.
A survey of Indonesian primary and secondary school teachers reveals a high level of acceptance of AI; whilst they are aware of the risks to learning, they harbour numerous misconceptions.
In response to the protests, stakeholders in the sector are stepping up site visits, distributing educational packs in classrooms and even producing a children’s picture book. An education policy researcher sees this as corporate propaganda.
Skipped steps, unclear instructions, pupils overwhelmed by questions: bots often undermine the teacher’s intentions. A ‘harness’ of prompts reduces these failures by 65 per cent.
Questions asked in Mandarin, answers in both languages and a technical glossary generated on the fly: a multi-source RAG pipeline tested on 91 Piazza messages.
A biology-based reasoning game compares three types of AI agent. When presented as a partner, the agent encourages children to ask it questions; when presented as a tool, it encourages them to look for evidence.
With one month to go until the CSAT, the Department for Education is requiring a visual inspection of glasses before each exam; simply being in possession of smart glasses will result in the exam being cancelled and a one-year ban.
By representing the question bank as a knowledge graph, MARS streamlines level updates and maximises scores under time constraints, reducing time-overruns from 50 per cent to 5.6 per cent.
Researchers at UMass Amherst and Eedi are placing exercise questions and dialogue sub-tasks on the same difficulty scale, to better track the progress of pupils’ skills.
The students simulated through role-play are too good and too similar. By explicitly modelling the learner’s state, HACHIMI-II reproduces their actual mistakes up to five times more often.
Developed in collaboration with six educational experts, the system breaks down problem-solving into four stages and eight sub-skills, and then generates diagnostic materials for any given problem.
The AERO warns against ‘cognitive offloading’ and advises a sparing use of AI thereafter, employing tools that guide reasoning rather than providing the answers.
The three models tested all tend to produce average marks, over-rating weaker papers and under-rating the best ones – a common error that the aggregation process does not correct.
According to the Institute of Student Employers, 92 per cent of employers have suspected or detected fraud when recruiting graduates, with the undeclared use of AI topping the list.
Identifying the problem, linking it to a requirement, selecting measures, and resolving conflicts: Alexandra Prégent and Alexei Grinbaum set out exercises and guides for trainers.
A gamified workshop involves students writing prompts to plan robot paths: 81.5 per cent of students say they learnt a great deal, and the way they phrase their prompts varies depending on the model.
A survey of 443 American students links imposter syndrome to a stricter perception of what constitutes cheating when an AI tool is involved.
Out of 3,041 responses from computer science students, the feedback on three business LLMs remains consistently positive and their sub-ratings are virtually identical, despite the appearance of a detailed analysis.