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Grant: Alliance Grants

University of British Columbia

$114,667.00

AI-Driven personalized support to foster computational thinking skills in early K12 education

FY 2022-23

Summary
Both research and industry in the field of educational technology has recently focused on using game design (GD) to support the acquisition of computational thinking (CT) skills. The learning environments that support these GD activities have been proven to be valuable for foster CT skills, however, they can be challenging to some students due to their open-ended and exploratory nature. Furthermore, due to the fact that CT skills are a rather recent concepts in the K12 curriculum, teachers and after-school instructors may not have yet the required skillset to alleviate these students' difficulties. Our goal is to address this challenge by designing AI-driven adaptive support to detect in real-time those students that may encounter difficulties, and provide them with relevant adaptive support. This support can include the delivery of cues, the design of virtual companion, and the promotion of collaboration among students with compatible skillsets. We will also provide support to the teachers by providing them with visual indicators on the state of the class and of their individual students. Our project aims to advance the current practice and technology to support CT teaching at schools in early K-12 education, which ultimately will be highly valuable to the Canadian educational community, including STEM teachers who wish to leverage GD environments as part of their curriculum, and industry that offers dedicated programs to schools, after-schools and camps related to STEM education. As part of our research we will also tackle the issue of the underrepresentation of female students in CS and CT education, by examining their specific needs and how to meet them via dedicated interaction and support.
Program
Alliance Grants
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
567500-2021
Name nom
Conati, Cristina C
Department département
Computer Science
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2021
Award amount
114667
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
inst:2
Partie
1
Nb partie
2
Application title
AI-Driven personalized support to foster computational thinking skills in early K12 education
Application summary
Both research and industry in the field of educational technology has recently focused on using game design (GD) to support the acquisition of computational thinking (CT) skills. The learning environments that support these GD activities have been proven to be valuable for foster CT skills, however, they can be challenging to some students due to their open-ended and exploratory nature. Furthermore, due to the fact that CT skills are a rather recent concepts in the K12 curriculum, teachers and after-school instructors may not have yet the required skillset to alleviate these students' difficulties. Our goal is to address this challenge by designing AI-driven adaptive support to detect in real-time those students that may encounter difficulties, and provide them with relevant adaptive support. This support can include the delivery of cues, the design of virtual companion, and the promotion of collaboration among students with compatible skillsets. We will also provide support to the teachers by providing them with visual indicators on the state of the class and of their individual students. Our project aims to advance the current practice and technology to support CT teaching at schools in early K-12 education, which ultimately will be highly valuable to the Canadian educational community, including STEM teachers who wish to leverage GD environments as part of their curriculum, and industry that offers dedicated programs to schools, after-schools and camps related to STEM education. As part of our research we will also tackle the issue of the underrepresentation of female students in CS and CT education, by examining their specific needs and how to meet them via dedicated interaction and support.