In the new PyrEval-CR, the assessment model, or computable rubric, is created semi-automatically before students even receive an essay prompt. One of PyrEval’s modules automatically creates the assessment model, called a pyramid, from four to five reference texts written to the same prompt as the student essays. According to Passonneau, most software is designed as a set of modules, or building blocks, each of which has a different function. In the AIED paper, researchers relay the technical details on how they adapted the PyrEval software to create PyrEval-CR. “We did a lot of experiments to fine-tune the software, then confirmed that the software’s assessment correlated very highly with an assessment from a manual rubric developed and applied by Puntambekar’s lab.” “In PyrEval-CR, we created the same kind of model that PyrEval would create from a few passages by expert writers but extended it to align with whatever rubric makes sense for a particular essay prompt,” Passonneau said. ![]() She also provided historical student essay data that was needed to develop PyrEval-CR before deploying it in classrooms. Sadhana Puntambekar, professor of educational psychology at the University of Wisconsin-Madison and a collaborator on both papers, recruited the science teachers and developed the science curriculum. The researchers tested the functionality and reliability of PyrEval-CR on hundreds of real middle school science essays from public schools in Wisconsin. Starting in 2012, Passonneau and her graduate students worked to automate Pyramid, which led to the creation of the fully automated PyrEval, the precursor of PyrEval-CR. The beginnings of PyrEval-CR date back to 2004, when Passonneau worked with collaborators to develop the Pyramid method, where researchers annotate source documents manually to reliably rank written ideas by their importance. “Simultaneously, the software generates a summary report on topics or ideas present in the essays from one or more classrooms, so teachers can quickly determine if students have genuinely understood a science lesson.” “PyrEval-CR can provide middle school students immediate feedback on their science essays, which offloads much of the burden of assessment from the teacher, so that more writing assignments can be integrated into middle school science curricula,” Passonneau said. Led by Passonneau, the researchers who worked on the ISLS paper extended the abilities of an existing natural language processing tool called PyrEval to assess ideas in student writing based on predetermined, computable rubrics. Natural language processing is a subfield of computer science where researchers convert the written or spoken word into computable data, according to principal investigator Rebecca Passonneau, Penn State professor of computer science and engineering. They detailed their results in the publishing arm of the International Society for the Learning Sciences Conference (ISLS) and in the Proceedings of the International Conference on Artificial Intelligence in Education (AIED). In two recent papers, computer scientists at Penn State vetted the effectiveness of a form of AI known as natural language processing for assessing and providing feedback on students’ science essays. The Learning Factory provides a unique opportunity for industry sponsors to partner with Penn State to help educate the next generation of World Class Engineers using state-of-the-art facilities for design, prototyping, and fabrication.Students may soon have another teacher in the classroom, but from an unlikely source: artificial intelligence (AI). Teams of engineering students tackle real-world problems sponsored by clients, challenging students to apply the knowledge and tools acquired during their undergraduate education to help solve engineering problems. Since its inception, the Learning Factory has completed more than 2,752 projects for more than 620 different sponsors, and nearly 13,000 engineering students at Penn State University Park participated in such a project. The Learning Factory provides a University-Industry partnership where student design projects benefit clients and industrial sponsors interact with students and faculty to help us create world-class engineers and make a significant difference in engineering education at Penn State. The Learning Factory provides modern design, prototyping, and manufacturing facilities, including machining (CNC and manual), 3D printing, welding, metrology, and CAD/CAM. Gordon Learning Factory is a hands-on facility for engineering students to use in conjunction with capstone design and other courses, as well as research projects and student organizations. ![]() Gordon Learning Factory Location, Hours, and Access
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |