New Realities
Enhancing Business Writing - Integrating Multimodal Strategies and AI Tools: Exploring the influence on Critical Thinking and Engagement in Business Writing View Digital Media
Paper Presentation in a Themed Session
Ying Huang
This study uniquely integrates a multimodal approach with AI-assisted learning strategies to detect the possible chance to activate critical thinking. It enables nearer real-world scenarios to improve students’ writing proficiency and engagement. A pilot case study involving four graduate students was conducted over three hours, including a pre-test, post-test, reflection reports that detailed their observations, viewpoints, and AI-related feedback analysis. The multimodal methods, such as video clips, PowerPoint demonstrations, and deliberate text interpretation, mainly focus on writing tone, style, and tackling methods. AI tools—Grammarly for grammar accuracy, ProWritingAid for clarity, style, and Voyant Tools for vocabulary density—were used to measure progress in these areas. The results show that multimodal teaching significantly improves engagement by 5%, fosters critical thinking essentially, enhances readability by 52.9%, upgrades reader comprehension, and decreases sentence length by 15% to make content easier to read. However, some participants reflected that too much reliance on AI tools drags their attention and hinders the development of text structure. Therefore, balancing usage is recommended. This study highlights the synergy between multimodality and AI to meet the demands of fast-paced technology and business-related knowledge. The most important thing is to guide students to self-directed learning, which catalyzes the customs to think, plan the plot, design the scheme, and face the setbacks alone. The findings also provide practical insights for more educators to adopt and develop writing skills more professionally.
Empowering Learning Through AI - Transforming Student Support in Business Education: Insights from a Customised GPT-Driven Learning Assistant View Digital Media
Paper Presentation in a Themed Session
Shirley Tan
In the evolving landscape of digital pedagogies, educators are increasingly exploring technological innovations to enhance teaching and learning experiences. This paper discusses the development and early implementation of a customised AI-driven tutor, created using ChatGPT, to support Business Psychology Management students. The initiative emerged as a response to the growing demand for continuous student support, addressing challenges associated with time constraints and the need for instant, context-specific assistance. While quantitative data collection is ongoing, this paper draws on initial feedback, and anecdotal evidence to explore the AI assistant's potential to foster student self-reliance and enhance engagement. This study contributes to the discourse on digital pedagogies by highlighting practical applications and early lessons from integrating AI into higher education. It emphasises the value of iterative improvement in technology adoption and the transformative potential of AI tools in reshaping the educator’s role and enriching the student experience. We share actionable insights into developing and refining AI solutions, regardless of data constraints, and the implications for teaching and learning in the digital age.
AI and the Future of Education: The New Normal in Education
Paper Presentation in a Themed Session
Greg Evans
This paper explores the findings of a survey on attitudes toward Artificial Intelligence (AI) and its transformative impact on education, student recruitment, and retention. Leveraging a convenience sample of LinkedIn.com members, the study utilized SurveyMonkey.com for data collection and analysis. A literature review of Theories of Digital Learning reveals a lack of consensus on the optimal theoretical framework for this emerging educational modality. The paper further examines the intersection of AI and academic integrity, offering actionable strategies for educators to navigate this evolving landscape. By bridging empirical insights with theoretical considerations, this work provides a critical foundation for understanding and shaping the role of AI in the future of education.
