Home Paper: Understanding student use of worked examples to support problem solving via real-time measurements of problem-solving events 9. Crawford, M. and Berger, E. (2017). Understanding student ...

To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) ...

As a newly proposed optimization algorithm based on the social hierarchy and hunting behavior of gray wolves, grey wolf algorithm (GWO) has gradually become a popular method for solving the ...

This project is not being offered for the current term. Please check back next semester for updates. UB undergraduate engineering students are learning to solve complex, open-ended engineering ...

The world of artificial intelligence (AI) is evolving at rapid speed, especially with the rise of generative AI tools. Large language models (LLMs) like ChatGPT have the potential to automate or ...

Even if you don’t work in a science or technical field, you’ve likely heard of the engineering profession. There are dozens of types of engineers, with each type applying the concepts of math, science ...

Crawford, M. UG and Berger, E. J., “Understanding student use of worked examples to support problem solving via real-time measurements of problem-solving events”, Proceedings of REES 2017, the 7 th ...