Materials for Download

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calendar_today Date: 16 January 2024 (Tuesday)  
schedule Time: 02:30 pm – 03:45 pm  
location_on Venue: Online via Zoom
record_voice_over Speaker:

Dr FU Hong
Assistant Professor,
Department of Mathematics and Information Technology (MIT),
The Education University of Hong Kong

Dr Vincent HUANG
Research Assistant Professor,
Department of Interactive Media,
Hong Kong Baptist University

person Target: Staff  
language Language: English

Abstract

This seminar covers the integration of technology in facilitating authentic assessment in higher education.  

The first segment explores the application of a multimodal intelligent learning environment, an innovation designed to aid students grappling with writing difficulties. The Intelligent Intervention System with authentic assessment practices aims to provide comprehensive support for students’ writing development.  

The second segment delves into the utilization of podcasting as a transformative tool in a theory-based course on communication and technology. This segment underscores the potential of podcasting in enhancing constructivist learning and its role in enabling authentic, real-world assessments of students’ comprehension and proficiency.   

Speaker from EdUHK

Dr FU Hong

Dr FU Hong's Topic & Abstract

Topic: An Approach for Multimodal Information Fusion in Addressing College Students’ Writing Difficulties: Towards an Intelligent Intervention System

Abstract: The utilization of learning environments that employ multimodal information processing techniques has proven effective in facilitating intelligent learning. Extensive research has revealed a close association between college students’ writing quality, personality, and academic performance. However, the glaring lack of effective intervention methods for college students with writing difficulties necessitates further exploration to improve this critical element of academic development. This project aims to establish a new multimodal intelligent learning environment that facilitates intervention training for college students facing writing difficulties by leveraging advanced computer vision technology. The proposed system will not only focus on recognizing and integrating multimodal signals such as body posture, attention, and pen pressure but also incorporate authentic assessment methods to assess students’ performance. These assessment methods may include case studies, student self-assessment, and peer assessment. Through the creation of specialized interventions tailored specifically for students confronted with writing difficulties, writing activities will be adjusted to accommodate individual learners’ behavior, cognition, and psychological states, thereby addressing their unique needs and adopting a learner-centered approach. By creating a rational intelligent adjustment model and establishing an effective intervention mechanism, this project will introduce a new multimodal intelligent learning approach for college students struggling with writing difficulties. The successful implementation of this project has significant implications for interdisciplinary research in cognitive science, computer science, and artificial intelligence, as it seeks to blend multimodal information fusion with authentic assessment practices to provide comprehensive support for students’ writing development. 

Speaker from HKBU

Dr Vincent HUANG

Dr Vincent HUANG's Topic & Abstract

Topic: Studying Real-life Issues with a Voice: Student Creative Podcasting in a Theory Course

Abstract: This presentation will share an academic-industry collaboration on creative podcasting as a major assignment for a theory-based course on communication and technology. It will provide a suggested workflow to achieve authentic assessment and learning, based on the presenter’s three-year experience in instructing podcast production both inside and outside the classroom. It will also highlight the transformational potential of podcasting in traditional lectures, its role in enhancing constructivist learning, and its positive impact on the relationship between learners and teachers.