TY - GEN
T1 - Describing elementary students' interactions in K-5 puzzle-based computer science environments using the collaborative computing observation instrument (C-COI)
AU - Israel, Maya
AU - Wherfel, Quentin M.
AU - Shehab, Saadeddine
AU - Melvin, Oliver
AU - Lash, Todd
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/8/14
Y1 - 2017/8/14
N2 - Despite efforts to integrate computer science (CS) into K-12 education, there are numerous unanswered questions about how students learn CS, how to provide positive computing experiences, and how students interact with each other during CS instruction. To begin to deconstruct these complexities for a diverse range of students, it is important to not only study the outcomes and products of students' computational experiences, but also the processes they take in creating those products. In recognizing the necessity for targeted, narrow research questions, this paper focused on how elementary students interacted with each other during puzzle-based CS instruction. Future work will focus on comparing these findings to students' collaborative interactions in more open-ended computing situations. Data analysis made use of the Collaborative Computing Observation Instrument (C-COI) [6] to analyze video screen captures of nine students as they engaged in CS activities within Code.org's Code Studio. Findings confirmed three predominant types of collaborative interactions: Collaborative problem solving, excitement and accomplishment related to CS activities, and general socialization.
AB - Despite efforts to integrate computer science (CS) into K-12 education, there are numerous unanswered questions about how students learn CS, how to provide positive computing experiences, and how students interact with each other during CS instruction. To begin to deconstruct these complexities for a diverse range of students, it is important to not only study the outcomes and products of students' computational experiences, but also the processes they take in creating those products. In recognizing the necessity for targeted, narrow research questions, this paper focused on how elementary students interacted with each other during puzzle-based CS instruction. Future work will focus on comparing these findings to students' collaborative interactions in more open-ended computing situations. Data analysis made use of the Collaborative Computing Observation Instrument (C-COI) [6] to analyze video screen captures of nine students as they engaged in CS activities within Code.org's Code Studio. Findings confirmed three predominant types of collaborative interactions: Collaborative problem solving, excitement and accomplishment related to CS activities, and general socialization.
KW - Assessing computational behaviors
KW - Collaborative computing
KW - Collaborative computing observation instrument (C-COI)
KW - K-12 computer science education
UR - http://www.scopus.com/inward/record.url?scp=85030169592&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030169592&partnerID=8YFLogxK
U2 - 10.1145/3105726.3106167
DO - 10.1145/3105726.3106167
M3 - Conference contribution
AN - SCOPUS:85030169592
T3 - ICER 2017 - Proceedings of the 2017 ACM Conference on International Computing Education Research
SP - 110
EP - 117
BT - ICER 2017 - Proceedings of the 2017 ACM Conference on International Computing Education Research
PB - Association for Computing Machinery
T2 - 13th ACM Conference on International Computing Education Research, ICER 2017
Y2 - 18 August 2017 through 20 August 2017
ER -