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SUMMARY:Using generative AI to create personalised Parson's Problems and e
 xplanations - Dr Barbara Ericson and Xinying Hou (University of Michigan)
DTSTART:20240109T170000Z
DTEND:20240109T183000Z
UID:TALK209794@talks.cam.ac.uk
CONTACT:Matthew Patterson
DESCRIPTION:Please sign up @ https://www.raspberrypi.org/computing-educati
 on-research-online-seminars/\n\nParson's Problems can be used to scaffold 
 students who struggle while writing code from scratch. In a Parson's Probl
 em\, learners are given mixed-up fragments that must be placed in the corr
 ect order to solve a problem. Dr. Barbara Ericson and Xinying Hou first te
 sted Parson's Problems created from the most common student solution and f
 ound that students with lower computer science self-efficacy achieved sign
 ificantly higher practice performance and in-practice problem-solving effi
 ciency than those without Parson's Problems as scaffolding. They are now t
 esting using generative AI to create a personalised Parson's Problem from 
 incorrect code\, as well as different levels of explanation.\n\nSpeakers:\
 n\nDr Barbara Ericson is a Professor in the School of Information at the U
 niversity of Michigan. She creates and studies free ebooks with innovative
  types of practice problems. She is a Distinguished Member of the ACM and 
 won the 2022 SIGCSE Award for Outstanding Contributions to Computer Scienc
 e Education.  \n\nXinying Hou is currently a third-year PhD student in Inf
 ormation at the University of Michigan\, working with Professor Barbara Er
 icson. She develops innovative learning techniques to support programming 
 learning and applies mixed methods to evaluate their effectiveness. Curren
 tly\, she is investigating the use of generative AI to provide engaging\, 
 comprehensive\, personalized\, and high-quality scaffolding for novice pro
 grammers as they write code.
LOCATION:https://form.raspberrypi.org/f/research-seminar-sign-up
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