TY - GEN
T1 - Exploring the Integration of AI Creation and ICT-assisted Mandarin Teaching
AU - Chen, Yi Hsuan
AU - Tu, Yun Fang
AU - Lan, Yu Ju
N1 - Publisher Copyright:
© 2023 Asia-Pacific Society for Computers in Education.
PY - 2023/12
Y1 - 2023/12
N2 - This study explores the integration of artificial intelligence (AI) creation techniques and information and communication technology (ICT) into Mandarin teaching, through students' perceptions of AI creation content and their feedback on engaging with technology in the process. In this study, a total of 21 students described their perceptions of Mandarin teaching as AI creation images and textual descriptions. These images were analyzed by 7 categories of encoding, including people, places, activities, technical media, objects, electronic technologies, and emotional attitudes. According to the analysis results, most students' conception of Mandarin teaching is still based on "teacher lecture" and "hands-on practice" in the "activities", followed by "books" and "classroom equipment" in "objects", and "electronic "computer" and "screens" in the "technologies" categories. There were some challenges in AI creation like an inaccurate prompt that would result in an image generation error such as certain details being missing, images appearing cluttered, blurring of visual depictions, and the barcodes and technological devices also lead to misalignment. However, certain facial expressions and the overall teaching atmosphere are also a challenge to generate during the creation. During the interview, students realized privacy and copyright issues are also a challenge. The results reveal that AI technology offers diverse, engaging teaching methods despite these challenges. By shedding light on how AI creation can enhance language learning, the study contributes to the evolving landscape of technology-assisted education. As AI technologies continue to shape modern education, these findings offer crucial guidance for educators aiming to leverage AI's benefits while addressing its limitations.
AB - This study explores the integration of artificial intelligence (AI) creation techniques and information and communication technology (ICT) into Mandarin teaching, through students' perceptions of AI creation content and their feedback on engaging with technology in the process. In this study, a total of 21 students described their perceptions of Mandarin teaching as AI creation images and textual descriptions. These images were analyzed by 7 categories of encoding, including people, places, activities, technical media, objects, electronic technologies, and emotional attitudes. According to the analysis results, most students' conception of Mandarin teaching is still based on "teacher lecture" and "hands-on practice" in the "activities", followed by "books" and "classroom equipment" in "objects", and "electronic "computer" and "screens" in the "technologies" categories. There were some challenges in AI creation like an inaccurate prompt that would result in an image generation error such as certain details being missing, images appearing cluttered, blurring of visual depictions, and the barcodes and technological devices also lead to misalignment. However, certain facial expressions and the overall teaching atmosphere are also a challenge to generate during the creation. During the interview, students realized privacy and copyright issues are also a challenge. The results reveal that AI technology offers diverse, engaging teaching methods despite these challenges. By shedding light on how AI creation can enhance language learning, the study contributes to the evolving landscape of technology-assisted education. As AI technologies continue to shape modern education, these findings offer crucial guidance for educators aiming to leverage AI's benefits while addressing its limitations.
KW - AI creation
KW - Drawing analysis
KW - ICT-assisted Mandarin Teaching
UR - http://www.scopus.com/inward/record.url?scp=85181762475&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85181762475&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85181762475
T3 - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
SP - 8
EP - 16
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 -