Conference Agenda

The rapid expansion of distance education has significantly broadened access to higher education, particularly for working adults and students located in geographically diverse regions. Despite these advances, online programs are frequently criticized for offering limited opportunities for experiential learning and sustained community engagement. In parallel, a substantial portion of the Service-Learning literature has historically centered on face-to-face contexts, which raises critical questions regarding the adaptation and effectiveness of this pedagogical approach in fully online environments.

This presentation analyzes the implementation of a Service-Learning experience within an Integrative Project course offered in the online undergraduate programs in Human Resource Management and Logistics at the Catholic University of Pernambuco, Brazil. In this course, Service-Learning is adopted as the core pedagogical framework and operationalized through four structured stages: identification of a community partner and assessment of local needs; development of context-sensitive and feasible intervention proposals; implementation of actions in collaboration with the partner organization; and dissemination of results through a final academic seminar.

Given the geographically dispersed nature of the student body, distributed across multiple regions of Brazil, particularly in the Northeast, the course design intentionally decentralizes community engagement. Rather than focusing on a single site, students are encouraged to establish partnerships within their own local contexts, including small enterprises, non-governmental organizations, and community-based initiatives. This configuration enables the application of academic knowledge in real-world settings while fostering the development of competencies such as communication, leadership, and problem-solving.

Anchored in the theoretical and empirical literature on Service-Learning and community engagement in higher education, this experience provides evidence that carefully designed online learning environments can support meaningful forms of community engagement. Moreover, it suggests that such approaches can contribute to strengthening relationships of trust and solidarity between higher education institutions and local communities, particularly in contexts marked by rapid social and technological transformations.

The rapid advancement of generative artificial intelligence (AI) and digital technologies is transforming higher education, calling for pedagogical approaches that emphasize adaptability and real-world impact (Chan, 2023; He et al., 2025; Qin, 2026). At Lingnan University, Service-Learning is one of graduation requirements that fosters whole-person development by connecting academic knowledge with meaningful community engagement (Chan et al., 2022). This paper explores how the integration of generative AI and accessible digital tools into Service-Learning enhances student learning outcomes and amplifies community impact, particularly for students from non-technology disciplines.

Situated within a liberal arts framework, this interdisciplinary approach prioritizes critical thinking, creativity, and social responsibility (Lau et al., 2023). It draws on concepts such as humanitarian technology, inclusive business, generative AI, and design thinking. Rather than emphasizing technical expertise, students engage with generative AI as a practical tool for problem identification, idea generation, and effective communication (Yeung et al., 2025). This inclusive model empowers students from diverse academic backgrounds to confidently apply emerging technologies in socially relevant contexts, both in local and international Service-Learning programmes.

Through selected case studies, students employ AI-assisted tools to co-create solutions with community partners. These projects include digital storytelling for marginalized groups, AI-supported outreach strategies and prototype development for non-profit organizations, and data-informed planning for social enterprises. Additional initiatives involve AI knowledge-transfer workshops designed for elderly participants and children. Collectively, these experiences enhance students’ ability to analyze complex social issues, adapt to dynamic environments, and collaborate effectively across disciplines.

Structured reflection and AI-focused problem-solving training are embedded throughout the learning process, encouraging students to critically examine ethical issues such as bias, inclusivity, and accountability (Weng et al., 2025). This reflective practice strengthens their sense of responsibility as digital citizens while enhancing competencies in knowledge application, creative problem-solving, teamwork, and critical thinking.

Overall, the integration of generative AI into Service-Learning strengthens students’ confidence, problem-solving capabilities, and commitment to social innovation, thereby promoting holistic development and enabling meaningful, community-centered impact.

Reflective practice is ‘the active, persistent and careful consideration of any belief or supposed form of knowledge in the light of the grounds that support it” (1910, 6). However, how we reflect and the mechanism for reflection can result in different pedagogical acquisition.

This paper will therefore propose reflection of experiences in the context of a service-learning module through a specific lens and framework, considering both micro and macro levels of understanding. This type of reflection not only entails considering what is happening at the level of experience but also what external social, economic and political structures may be influencing the experience and consequent action or inaction.

The paper will draw upon the ontological and epistemological conceptual foundations of critical realism (Bhaskar,1978). Whilst this has commonly been used for methodological underpinnings in research, it may equally be used as a method of critical interpretation, reflection and practice. It acknowledges that whilst agency is causal in what happens, structures condition how people live (Danermark et al. 2005). As confirmed by Roy Bhaskar:

“… people in their conscious human activity, for the most part unconsciously reproduce (or occasionally, transform) the structures that govern their substantive activities of production. Thus people do not marry to reproduce the nuclear family, or work to reproduce the capitalist economy. But it is nevertheless the unintended consequence (and inexorable result) of, as it is also the necessary condition for their activity (Bhaskar 1989).

These macro level reflective considerations conceptually mediated through theory, can provide different explanations for individual action. For example, sociological theory such as the value spheres propounded by Max Weber (1978) and Pierre Bourdieu’s concepts of habitus, capital and field (Bourdieu 1977) can help elicit influences on action/inaction. In legal education, theory provides explanation why a formalistic doctrinal approach takes precedent over more experiential approaches. It helps understand why legal education can result in an egress over time from an interest in people and emotions (Daicoff 2004), the norms and conventions of general society (Mertz 2007) and a focus on rationality to the exclusion of emotion (Poole 2011).

Adopting this philosophical lens to service-learning therefore deepens reflection to not only consider the observable world constructed through our perspectives, experiences and reflections but also the structures which cause these observable events. In legal education, this allows for consideration of not only what the law is and what it does but also what influences it and why?