TY - GEN
T1 - Effectiveness of Story-based Visual and Agile Teaching Method for Non-technical Adult Learners Who Want to Understand Artificial Intelligence
AU - Seya, Keisuke
AU - Kobayashi, Nobuyuki
AU - Shirasaka, Seiko
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - This study proposes and evaluates an effective teaching method for non-technical adults who want to understand artificial intelligence (AI). As the number of non-technical business professionals who want to improve their participation in technical discussions is increasing, it becomes important to find effective teaching methods for non-technical adults who need to understand core technical concepts in which they are involved reasonably. The proposed teaching method utilizes the active use of visual feedback and agile practices to overcome the challenges the adult learners face. In this study, we evaluated the effectiveness of the proposed teaching method by the open coding method to analyze the free-form responses and by the paired t-test over the responses to the questions asked to the participants before and after the lecture. We found that this teaching method effectively supported the learners to understand the basic technical concepts of AI within one or two-day time frame. We also confirmed the non-technical adult learners had significantly changed their attitude toward understanding AI from initially negative to positive with a good expectation of success in understanding AI, which is one of the important outcomes for the learners as the expectancy-value theory predicts their future performance on understanding AI.
AB - This study proposes and evaluates an effective teaching method for non-technical adults who want to understand artificial intelligence (AI). As the number of non-technical business professionals who want to improve their participation in technical discussions is increasing, it becomes important to find effective teaching methods for non-technical adults who need to understand core technical concepts in which they are involved reasonably. The proposed teaching method utilizes the active use of visual feedback and agile practices to overcome the challenges the adult learners face. In this study, we evaluated the effectiveness of the proposed teaching method by the open coding method to analyze the free-form responses and by the paired t-test over the responses to the questions asked to the participants before and after the lecture. We found that this teaching method effectively supported the learners to understand the basic technical concepts of AI within one or two-day time frame. We also confirmed the non-technical adult learners had significantly changed their attitude toward understanding AI from initially negative to positive with a good expectation of success in understanding AI, which is one of the important outcomes for the learners as the expectancy-value theory predicts their future performance on understanding AI.
KW - adult learners
KW - agile method
KW - artificial intelligence
KW - programming
KW - storytelling
KW - technology education
KW - visual method
UR - http://www.scopus.com/inward/record.url?scp=85080929494&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85080929494&partnerID=8YFLogxK
U2 - 10.1109/IIAI-AAI.2019.00157
DO - 10.1109/IIAI-AAI.2019.00157
M3 - Conference contribution
AN - SCOPUS:85080929494
T3 - Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
SP - 768
EP - 774
BT - Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
Y2 - 7 July 2019 through 11 July 2019
ER -