Immediate Feedback in Computational Thinking: Generating hints using a Knowledge Graph

被引：0
|
作者：
Jha, Nitesh Kumar [1 ]
Bhowmik, Plaban Kumar [2 ]
Bhagat, Kaushal Kumar [1 ]
机构：
[1] Indian Inst Technol Kharagpur, Adv Technol & Dev Ctr, Kharagpur, India
[2] Indian Inst Technol Kharagpur, GS Sanyal Sch Telecommun, Kharagpur, India
来源：
31ST INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION, ICCE 2023, VOL I | 2023年
关键词：
Computational Thinking; Immediate feedback; Knowledge Graph; Inquiry-based learning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, we present an Online Inquiry-based Learning Platform for Computational Thinking (CT-ONLINQ) to develop the CT skills of students. The platform provides immediate feedback with hints to support students during problem-solving activities and encourages them to explore multiple solutions for a problem. The hints are generated using a Knowledge Graph that stores information about the solution details of a problem. A six-week study was conducted on 79 high school students to determine the effectiveness of the platform with hints on students' CT skills. The results showed that the students improved their CT skills significantly after the intervention. Findings suggest that the CT-ONLINQ platform consisting of IBL-based CT activities with immediate feedback could help school students improve their CT skills.
引用
收藏
页码：55 / 57
页数：3
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