Investigating a visual interface for elementary students to formulate AI planning tasks

被引:10
作者
Park, Kyungjin [1 ]
Mott, Bradford [1 ]
Lee, Seung [1 ]
Gupta, Anisha [1 ]
Jantaraweragul, Katie [2 ]
Glazewski, Krista [2 ]
Scribner, J. Adam [2 ]
Ottenbreit-Leftwich, Anne [2 ]
Hmelo-Silver, Cindy E. [2 ]
Lester, James [1 ]
机构
[1] North Carolina State Univ, Raleigh, NC 27695 USA
[2] Indiana Univ, Bloomington, IN 47405 USA
来源
JOURNAL OF COMPUTER LANGUAGES | 2022年 / 73卷
基金
美国国家科学基金会;
关键词
Artificial intelligence education for K-12; Visual interface; Game-based learning;
D O I
10.1016/j.cola.2022.101157
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Recent years have seen the rapid adoption of artificial intelligence (AI) in every facet of society. The ubiquity of AI has led to an increasing demand to integrate AI learning experiences into K-12 education. Early learning experiences incorporating AI concepts and practices are critical for students to better understand, evaluate, and utilize AI technologies. AI planning is an important class of AI technologies in which an AI-driven agent utilizes the structure of a problem to construct plans of actions to perform a task. Although a growing number of efforts have explored promoting AI education for K-12 learners, limited work has investigated effective and engaging approaches for delivering AI learning experiences to elementary students. In this article, we propose a visual interface to enable upper elementary students (grades 3-5, ages 8-11) to formulate AI planning tasks within a game-based learning environment. We present our approach to designing the visual interface as well as how the AI planning tasks are embedded within narrative-centered gameplay structured around a Use-Modify-Create scaffolding progression. Further, we present results from a study of upper elementary students using the visual interface. We discuss how the Use-Modify-Create approach supported student learning as well as discuss the misconceptions and usability issues students encountered while using the visual interface to formulate AI planning tasks.
引用
收藏
页数:13
相关论文
共 54 条
[1]  
Ali S, 2019, INT WORKSHOP ED ARTI
[2]   Staging Reflections on Ethical Dilemmas in Machine Learning: A Card-Based Design Workshop for High School Students [J].
Bilstrup, Karl-Emil Kjaer ;
Kaspersen, Magnus H. ;
Petersen, Marianne Graves .
PROCEEDINGS OF THE 2020 ACM DESIGNING INTERACTIVE SYSTEMS CONFERENCE (DIS 2020), 2020, :1211-1222
[3]  
Blandford Ann, 2016, Synthesis Lectures on HumanCentered Informatics, V9, P1, DOI [DOI 10.1007/978-3-031-02217-3, DOI 10.2200/S00706ED1V01Y201602HCI034]
[4]  
Broll B, 2017, 2017 IEEE BLOCKS AND BEYOND WORKSHOP (B&B), P91, DOI 10.1109/BLOCKS.2017.8120419
[5]   Profound change is coming, but roles for humans remain [J].
Brynjolfsson, Erik ;
Mitchell, Tom .
SCIENCE, 2017, 358 (6370) :1530-1534
[6]   Teachable Machine: Approachable Web-Based Tool for Exploring Machine Learning Classification [J].
Carney, Michelle ;
Webster, Barron ;
Alvarado, Irene ;
Phillips, Kyle ;
Howell, Noura ;
Griffith, Jordan ;
Jongejan, Jonas ;
Pitaru, Amit ;
Chen, Alexander .
CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2020,
[7]   Digital Games, Design, and Learning: A Systematic Review and Meta-Analysis [J].
Clark, Douglas B. ;
Tanner-Smith, Emily E. ;
Killingsworth, Stephen S. .
REVIEW OF EDUCATIONAL RESEARCH, 2016, 86 (01) :79-122
[8]   Decoding Design Agendas: An Ethical Design Activity for Middle School Students [J].
DiPaola, Daniella ;
Payne, Blakeley H. ;
Breazeal, Cynthia .
PROCEEDINGS OF IDC 2020, 2020, :1-10
[9]  
Druga S., 2018, Growing up with AI: Cognimates: from coding to teaching machines
[10]  
Fraser N, 2015, 2015 IEEE BLOCKS AND BEYOND WORKSHOP (BLOCKS AND BEYOND), P49, DOI 10.1109/BLOCKS.2015.7369000