The Mini Tracks for ECSM
- Social Media Data Storytelling Through Data Visualisation & Visual Analytics
- Enhancing Higher Education through Generative AI and Social Media Integration
Social Media Data Storytelling Through Data Visualisation & Visual Analytics
Mini track Chair: Dr Violetta Wilk, Edith Cowan University, Perth, Australia
“Data visualisation and visual analytics has been identified as a key tool in big data analysis because they draw on the human visual and cognitive capabilities to analyse data quickly, intuitively and interactively.” (Lowe & Matthee, 2020, p.469).
Despite the fast-changing nature of social media and the myriad of types of content produced by users, academic methodology for exploring has not evolved as promptly. Researchers often lack appropriate tools, knowledge and exemplars in data visualisation and visual analytics for social media, big data analysis. Big data offers valuable insights for brands and users alike. Researchers agree that data visualisation through data storytelling enhances efficiency and effectiveness of information retrieval and insights. This track aims to explore and provide insights into social media data visualisation and visual analytics options for researchers. Specifically, it seeks to offer an avenue for demonstration and knowledge exchange about social media qualitative data analysis techniques and suitable tools, platforms and dashboards for data visualisation and visual analytics. Discussion about social media qualitative visual data analysis, visual output, methodology challenges and opportunities, industry collaboration opportunities and case studies, is intended.
The topics of interest include, but are not limited to:
- Social media data visualisation
- Visual analytics
- Data visualisation software, platforms and tools
- Social media content analysis
- Qualitative data analysis challenges and opportunities
Enhancing Higher Education through Generative AI and Social Media Integration
Mini track Chair:Joao Batista,Gonçalo Carnaz University of Aveiro, Portugal and Anabela Mesquita, ISCAP, Porto, Portugal
In the rapidly evolving landscape of higher education, leveraging advanced technologies like Generative AI and social media integration presents transformative opportunities. This mini-track explores how these innovations can enrich teaching, learning, and administrative processes in higher educational institutions. Generative AI, with its capability to create personalized learning experiences, automate administrative tasks, and facilitate research, is revolutionizing education. Simultaneously, the strategic use of social media enhances communication, collaboration, and engagement among students, educators, and stakeholders. This mini-track invites researchers, educators, and practitioners to discuss and share research results on integrating Generative AI and social media into higher education. We aim to uncover the potential benefits, address challenges, and showcase successful implementations to provide a comprehensive understanding of these technologies' impact.
The topics of interest include, but are not limited to:
- Student Engagement
- Collaboration and communication
- Innovative teaching methods
- Academic integrity and assessment
- Case studies and best practices