TY - GEN
T1 - A Comparative Analysis on the Effects of Cognitive Tools in Data Inquiry Cultivation
AU - Zhang, Hui
AU - Wu, Bian
AU - Hu, Yi Ling
AU - Xu, Yu Jie
N1 - Publisher Copyright:
© 2023 Asia-Pacific Society for Computers in Education.
PY - 2023/12
Y1 - 2023/12
N2 - The advent of the big data era has elevated the importance of understanding, analyzing, and mining data, necessitating data science education with cognitive tools aiding data inquiry. However, limited appraisals exist, especially regarding diverse tools' impact on data inquiry cognitive aspects. This study addresses this void by examining cognitive tool impact on data inquiry. The study collected discourse and questionnaire data generated during online collaborative tasks. Epistemic network analysis and difference testing unveiled cognitive pattern disparities, learning motivation, cognitive load, and self-efficacy variations between groups. Blockbased group displayed robust cognitive connections in data understanding and preparation. Text-based group focused on modeling and optimization iterations. Motivation and load didn't differ significantly, yet block-based group showed higher selfefficacy. Study concludes by acknowledging limitations and suggesting future research directions.
AB - The advent of the big data era has elevated the importance of understanding, analyzing, and mining data, necessitating data science education with cognitive tools aiding data inquiry. However, limited appraisals exist, especially regarding diverse tools' impact on data inquiry cognitive aspects. This study addresses this void by examining cognitive tool impact on data inquiry. The study collected discourse and questionnaire data generated during online collaborative tasks. Epistemic network analysis and difference testing unveiled cognitive pattern disparities, learning motivation, cognitive load, and self-efficacy variations between groups. Blockbased group displayed robust cognitive connections in data understanding and preparation. Text-based group focused on modeling and optimization iterations. Motivation and load didn't differ significantly, yet block-based group showed higher selfefficacy. Study concludes by acknowledging limitations and suggesting future research directions.
KW - CSCL
KW - Data inquiry
KW - cognitive tools
KW - human-computer interaction
UR - https://www.scopus.com/pages/publications/85181538928
M3 - 会议稿件
AN - SCOPUS:85181538928
T3 - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
SP - 295
EP - 300
BT - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
A2 - Shih, Ju-Ling
A2 - Kashihara, Akihiro
A2 - Chen, Weiqin
A2 - Chen, Weiqin
A2 - Ogata, Hiroaki
A2 - Baker, Ryan
A2 - Chang, Ben
A2 - Dianati, Seb
A2 - Madathil, Jayakrishnan
A2 - Yousef, Ahmed Mohamed Fahmy
A2 - Yang, Yuqin
A2 - Zarzour, Hafed
PB - Asia-Pacific Society for Computers in Education
T2 - 31st International Conference on Computers in Education, ICCE 2023
Y2 - 4 December 2023 through 8 December 2023
ER -