TY - GEN
T1 - LipMOOC
T2 - 26th International Conference on Artificial Intelligence in Education, AIED 2025
AU - Agarwal, Snigdha
AU - Namboodiri, Vinay
AU - Jawahar, C. V.
PY - 2025/7/21
Y1 - 2025/7/21
N2 - For people with hearing impairments, lipreading is a crucial skill, as it bridges the gap between spoken language and understanding, improving the ability to communicate effectively. However, the creation of lipreading resources is pervasive and labor-intensive, leading to a scarcity of high-quality, structured, and widely accessible educational materials. To address this, we developed LipMOOC, a Massive Open Online Course (MOOC) tailored for lipreading education. Our approach leverages synthetically generated content, reducing the dependence on human-recorded videos and building an accessible and effective learning option. Using the state-of-the-art models, we created a comprehensive lipreading course and conducted a study to evaluate its effectiveness. We statistically proved that (1) Synthetic videos can replace human-recorded videos without affecting the learning outcomes, and (2) Learner performance on a structured course, i.e., LipMOOC, is much better than a standard course. A total of 120 participants with hearing impairment and no prior lipreading experience volunteered. These results highlight the potential of AI-driven content generation and scientific instructional design.
AB - For people with hearing impairments, lipreading is a crucial skill, as it bridges the gap between spoken language and understanding, improving the ability to communicate effectively. However, the creation of lipreading resources is pervasive and labor-intensive, leading to a scarcity of high-quality, structured, and widely accessible educational materials. To address this, we developed LipMOOC, a Massive Open Online Course (MOOC) tailored for lipreading education. Our approach leverages synthetically generated content, reducing the dependence on human-recorded videos and building an accessible and effective learning option. Using the state-of-the-art models, we created a comprehensive lipreading course and conducted a study to evaluate its effectiveness. We statistically proved that (1) Synthetic videos can replace human-recorded videos without affecting the learning outcomes, and (2) Learner performance on a structured course, i.e., LipMOOC, is much better than a standard course. A total of 120 participants with hearing impairment and no prior lipreading experience volunteered. These results highlight the potential of AI-driven content generation and scientific instructional design.
KW - AI Teaching
KW - Inclusion
KW - Learning Pedagogy
KW - MOOC
UR - https://www.scopus.com/pages/publications/105012029428
U2 - 10.1007/978-3-031-98462-4_23
DO - 10.1007/978-3-031-98462-4_23
M3 - Chapter in a published conference proceeding
AN - SCOPUS:105012029428
SN - 9783031984617
T3 - Lecture Notes in Computer Science
SP - 179
EP - 186
BT - Artificial Intelligence in Education - 26th International Conference, AIED 2025, Proceedings
A2 - Cristea, Alexandra I.
A2 - Walker, Erin
A2 - Lu, Yu
A2 - Santos, Olga C.
A2 - Isotani, Seiji
PB - Springer
CY - Cham, Switzerland
Y2 - 22 July 2025 through 26 July 2025
ER -