Visit by Nehal Hasnine to a Swiss University

On November 7, Nehal Hasnine from Hosei University in Tokyo visited Oliver Bendel at the FHNW Brugg-Windisch campus. Oliver Bendel wrote his doctoral thesis on pedagogical agents – chatbots, voice assistants, and early social robots in learning environments – at the University of St. Gallen at the turn of the millennium. In recent years, he and his students have developed chatbots and language assistants that support the learning and practicing of endangered languages. Nehal Hasnine is investigating the possibility of recommending appropriate images for vocabulary learning, geolocation-based word recommendation, clickstream analysis, ubiquitous log analysis, personalized learning path optimization, text mining for word concurrence information discovery, and topic modeling from life logs. According to his website, his expertise lies at the intersection of computer-aided language learning, foreign vocabulary learning, machine learning, image recommendation, data visualization, image analytics, and learning analytics. At the FHNW Brugg-Windisch campus, the two scientists presented their projects and discussed opportunities for collaboration.

Fig.: Oliver Bendel and Nehal Hasnine at the Swiss campus

GenAI for Well-being in Self-regulated Learning

At the AAAI 2024 Spring Symposium „Impact of GenAI on Social and Individual Well-being“ the paper „How Can GenAI Foster Well-being in Self-regulated Learning?“ by Stefanie Hauske and Oliver Bendel was accepted. It explores how generative AI (GenAI) can improve the well-being of learners within self-regulated learning (SRL) frameworks and presents three customized GPTs that can support learners – one of them is a virtual learning companion (VLC) in the narrower sense. They demonstrate the potential of GenAI in actively supporting learners in SRL and positively influencing their well-being. The two authors from ZHAW and FHNW then provide a balanced overview of the opportunities and risks associated with generative AI in the field of learning, and highlight directions for future research. The results indicate that GenAI can significantly improve the well-being of learners in SRL through providing personalized guidance, reducing feelings of stress, and increasing motivation and self-efficacy. The paper will be presented March 25-27 at Stanford University. Learn more about the AAAI 2024 Spring Symposia at aaai.org/conference/spring-symposia/sss24/#ss01.

Fig.: Young woman with a VLC at Stanford University (Image: DALL-E 3)