ICITL 2024, the International Conference of Innovative Technologies and Learning, ICITL is opened to the public for organizing tracks to achieve diversity of the symposium.
In this speech, we’ll introduce an innovative AI-based system for recognizing facial emotions in an academic context and studying feedback effects. Professor Lin found that students with adaptive motivation profiles displayed distinct facial emotions during math problem-solving, learning programming languages, and reading science texts, compared to those with less adaptive profiles. Positive facial emotions were less Likely to be observed in the academic learning. Delivering feedback based on facial emotion analytics significantly improved students’ epistemic awareness and positive motivation during knowledge construction. Teachers showed keen interest in understanding critical emotion changes in knowledge construction aligned with instructional design.
Dr. Sunny Lin is a Chair Professor at the National Yang Ming Chiao Tung University, Taiwan. She holds a doctoral degree in Educational Psychology and was previously the Convener for the Discipline of Information and Computer Education at the Ministry of Science and Technology, Taiwan. Her research focuses on integrating advanced technologies into future classrooms to promote highly engaged self-regulated learning. Dr. Lin and her team have built advanced machine learning models with an emphasis on identifying complex academic emotions and their subsequent motivational effects. They have created a dynamic facial emotion dataset based on discrete and dimensional emotion theories, tested recognition accuracies of various models, and developed feedback modules to inform teachers and self-directed learners. Dr. Lin and her students have received best paper awards and nominations from conferences such as ICCE and TWELF, related to teacher effects in digital self-regulated learning and eye movement studies on self-directed reading.
In this speech, we will explore the transformative role of emerging technologies, specifically 360-degree video, virtual reality (VR), and artificial intelligence (AI), in reshaping the way students engage in cross-cultural learning, learn languages, and develop intercultural competence. Central to this exploration is the examination of how 360-degree video and VR environments enhance language learning outcomes and create authentic learning contexts. This includes an emphasis on the effects of evaluation and feedback in these immersive settings. We will delve into how these technologies aid in developing cross-cultural knowledge and attitudes, supported by research involving VR-supported learning activities and tele-collaborative projects. Additionally, we will discuss the impact of these technologies on fostering creativity, innovation, and entrepreneurship among students, linking these essential skills to the demands of a globally connected world. We will also explore the role of VR in advancing emotional intelligence and creating a sense of presence, both critical in understanding diverse cultural contexts. The speech will conclude with a discussion on future trends in educational technology, potential challenges, and the emerging role of AI in further enhancing these learning experiences, setting the stage for a new era in global education.
Dr. Rustam Shadiev, currently a tenured professor in the College of Education at Zhejiang University, China, has an illustrious academic career marked by significant achievements. He completed his Ph.D. at National Central University in 2012, followed by a postdoctoral fellowship at National Cheng Kung University. Subsequently, he served as a professor in the School of Education Science at Nanjing Normal University until 2022. Recognized for his academic excellence, Dr. Shadiev was named a Distinguished Professor of Jiangsu Province in 2019. He holds memberships as a Fellow of the British Computer Society and a Senior Member of the Institute of Electrical and Electronics Engineers. His notable contributions to education are evidenced by his inclusion as one of the Most Cited Chinese Researchers by Elsevier, SCOPUS, and Shanghai Ranking for three consecutive years (2020-2022). Dr. Shadiev is a prolific author with over 200 publications in various academic journals and conferences. His research primarily explores advanced learning technologies, focusing on language learning and cross-cultural education. His work continues to make a profound impact on educational practices and research worldwide.