Metacognitive laziness and AI: researchers propose a scale to measure a growing educational concern
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Oct-2026 20:15 ET (31-Oct-2026 00:15 GMT/UTC)
A new study in ECNU Review of Education describes the initial development and preliminary validation of the Metacognitive Laziness Scale (MLS), a six-item instrument designed to measure students’ tendency to offload metacognitive tasks to generative AI rather than engaging in self-regulated learning. In a sample of 144 health professions students in Hong Kong SAR, early findings suggest the MLS may help identify AI-dependent learning patterns.
Researchers have developed a new way to generate realistic synthetic training data for agricultural robots by recreating tomato cultivation environments in a virtual world. The approach could help overcome one of the biggest barriers in agricultural robotics: the time and labor required to collect and manually label real-world data under challenging greenhouse conditions such as changing lighting, dense foliage, and fruit occlusion.
A new technology created by Heriot-Watt University is poised to upend one of the most stubborn bottlenecks in modern manufacturing.
FreeForm Photonics is set to commercialise a laser-based process that builds alignment directly into optical glass components, removing the painstaking manual calibration that currently accounts for more than half of all photonics production costs.
The result is a manufacturing pathway that is faster, cheaper and precise to sub-micron tolerances, a scale far smaller than the width of a human hair. It also removes the complexity that has long made photonic systems prohibitively expensive to scale.
The implications stretch across some of the most consequential technologies of the coming decade. Sectors like Quantum computing systems, next-generation medical diagnostics and the optical communications infrastructure underpinning the modern internet. These all depend on photonic components that are currently largely assembled by hand.
The latest production from the “molecular movie” imaging technology developed at Oregon State University is a new, inexpensive way of dealing with a common environmental pollutant.