Rethinking Learning in Higher Education Through AI-Driven Gamification: A Meta-Synthesis
John Mark N. Saldivar
Discipline: Education
Abstract:
This meta-synthesis examined educators' roles and experiences in
AI-enhanced, gamified learning environments in higher education,
emphasizing how integrating artificial intelligence (AI) and gamification
enhances engagement, motivation, and educational outcomes. From 3671
academic publications gathered via the Publish or Perish software, 22
qualitative studies from three open-access repositories passed the inclusion
and exclusion criteria. Utilizing Braun and Clarke's six-phase thematic
analysis alongside the PRISMA 2020 framework, the synthesis yielded ten
themes organized into three meta-themes: (1) the evolving responsibilities of
educators, (2) the advantages of gamification, and (3) the challenges faced
during implementation of AI-driven gamification. The findings revealed that
educators are increasingly taking on the roles of designers, collaborators, and
evaluators, employing AI tools and gamified approaches to customize
instruction, boost engagement, and promote learner autonomy. The
incorporation of adaptive algorithms, intelligent feedback, and learning
analytics bolsters data-informed pedagogy and ongoing formative
assessment. Nevertheless, ethical dilemmas, inadequate digital literacy, and
infrastructural deficiencies remain significant barriers. The study concludes
that the sustainable integration of AI-driven gamification requires ethical
oversight, ongoing faculty training, and institutional preparedness to ensure
inclusivity and effectiveness. In alignment with Sustainable Development
Goal 4 (SDG 4), the findings advocate for higher education institutions to
establish comprehensive AI policies, invest in digital infrastructure, and
develop professional expertise to promote equitable, innovative, and lifelong
learning environments. Ultimately, AI-enhanced gamification offers a
transformative trajectory towards dynamic, student-centric education.
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