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SUMMARY:Young children’s ScratchJr project scores and processes across a
  12-week coding curriculum - Apittha Unahalekhaka (Tufts University)
DTSTART:20230606T160000Z
DTEND:20230606T173000Z
UID:TALK193996@talks.cam.ac.uk
CONTACT:Matthew Patterson
DESCRIPTION:Please sign up @ https://www.raspberrypi.org/computing-educati
 on-research-online-seminars/\n\nThis seminar will present two ScratchJr st
 udies\, which were part of the Coding as Another Language (CAL) project. T
 he first study is the development and testing of the ScratchJr Project Rub
 ric\, which has been used to evaluate children’s purposeful creation on 
 the coding and project design aspects of ScratchJr. The study showed that 
 although children (ages 6–8) were able to create more complex projects o
 ver time\, there were some coding concepts that children uncommonly used. 
 The second study evaluated common processes that young children followed w
 hen creating their ScratchJr projects. The implications of this study are 
 essential to inform how teachers and parents may support young children’
 s creative and exploratory processes when learning with tablet-based codin
 g applications. \n \nIn small groups\, seminar participants will use a rub
 ric to evaluate their ScratchJr projects (or provided ScratchJr projects) 
 and discuss the key areas that can be enhanced. (Bring a tablet with Scrat
 chJr downloaded if you have one!) Furthermore\, you will brainstorm the te
 aching strategies that can support different creation processes children m
 ay use to create coding projects. \n\n\n\nSpeaker: \n\nApittha (Aim) Unaha
 lekhaka\, Ed.M.\, is a final-year doctoral candidate at Tufts University's
  Eliot-Pearson Department of Child Study and Human Development and a gradu
 ate researcher at the DevTech Research Group. Her current research focuses
  on using data science for early childhood education and learning analytic
 s applications in classroom settings\, particularly how children's engagem
 ent patterns with ScratchJr relate to their learning experiences. Her inte
 rests include socio-emotional learning\, constructionism\, adaptive instru
 ctional systems\, and machine learning. She received her B.S. at the Unive
 rsity of Toronto with a double major in Neuroscience and Economics and her
  Ed.M. at Harvard Graduate School of Education.  \n
LOCATION:https://form.raspberrypi.org/f/research-seminar-sign-up
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