Harnessing Generative AI to Enhance Learning Outcomes and Workplace Readiness

<p dir="ltr">Technological advancements in recent years have significantly transformed the higher education landscape. The emergence of AI-powered tools has introduced new possibilities for enhancing learning experiences and workplace competencies. AI learning tools such as ChatGPT, Copilot, Gemini, and DeepSeek represent a paradigm shift in education. This research examines the potential of Generative AI (GenAI) tools to transform learning experiences at the Singapore Institute of Technology (SIT), particularly among first-year undergraduates. In line with SIT's applied learning pedagogy, which focuses on developing employer-valued competencies, the study aims to gain insights into how students engage with and perceive GenAI tools, and how these tools foster critical thinking, communication, and service quality skills, ultimately supporting industry readiness. This research examines three key objectives, focusing specifically on courses in critical thinking, communication, and service quality within the Engineering and Hospitality Business programmes. First, it investigates first-year students' perceptions of GenAI tools in their learning experiences within these courses. Second, it evaluates the integration of these tools within SIT's applied learning pedagogy and their role in developing workplace-relevant competencies. Lastly, it assesses how GenAI-powered tools support personalised learning experiences, ultimately enhancing industry readiness. These objectives provide a comprehensive framework for assessing the impact of AI on students' educational journeys and career preparedness. A mixed-methods design was employed, combining surveys and focus group discussions to explore students' perceptions and experiences with GenAI tools. The study surveyed 300 first-year students in Engineering and Hospitality Business programmes. Quantitative data from the surveys were analysed using descriptive statistics, while qualitative data from five focus groups with six members in each, were coded using Quirkos, a qualitative analysis software. This approach provided a comprehensive understanding of student engagement, learning preferences, and challenges related to GenAI adoption. The study revealed that students perceive GenAI tools as both beneficial and challenging in higher education. Students reported that these tools enhance engagement through instant feedback and personalised learning, supporting SIT's applied learning approach and improving critical thinking, communication, and problem-solving skills. GenAI tools also support SIT's applied learning approach by fostering interactive and dynamic learning environments that better prepare students for diverse workplace demands. However, concerns about academic integrity and digital literacy highlight the need for ethical AI guidelines and skill development. As the job market increasingly demands digital literacy and AI collaboration, this research hopes to provide valuable insights for educators striving to balance AI integration with academic integrity while enhancing learning and workforce readiness.</p>