The scientific week is an annually organized conference on a given topic where researchers from different discipline present their research findings. The topic of this year focuses on generative Artificial Intelligence (AI).
1. Background and Context Specification
The ubiquity of generative
Artificial Intelligence (AI) such as ChatGPT, Claude, Gemini, and others has
reshaped how knowledge is produced, accessed, and evaluated. These tools are
increasingly being integrated into classrooms, research environments, and
policy frameworks, offering unprecedented opportunities for enhancing
educational delivery, personalizing learning, accelerating research, and
automating assessments. Arguably, generative AI holds immense potential to
reshape traditional paradigms of teaching, learning, assessment, and research.
It offers unprecedented opportunities for personalized learning experiences,
automated content creation, intelligent tutoring systems, enhanced research
methodologies, and streamlined administrative tasks.
However, these advancements also raise critical concerns related to academic integrity, data privacy, equity, teacher roles, and ethical governance. Questions arise regarding the quality and integrity of educational processes and outcomes. As generative AI tools become embedded in the educational ecosystem, it is urgent and necessary to rethink what “quality” means in teaching, learning, assessment, and research. What values guide the integration of these tools? How can educational institutions and educators harness innovation without compromising educational ethics or deep learning? What policies are needed to balance innovation and accountability? Consequently, this conference seeks to foster a comprehensive reflection on both the immense
opportunities and the significant challenges presented by generative AI in education, with a particular emphasis on rethinking and ensuring quality across all its facets.
2. Objectives
The purpose of this conference is
to critically reflect on the current opportunities and challenges presented by
Generative AI in the process of rethinking quality in teaching, learning,
assessment, and research within a rapidly evolving educational ecosystem.
Specifically, the conference intends to achieve the following objectives:
3. Conference Sub-Topics
The sub-topics of the conference include, but
are not limited to:
· Generative AI and pedagogical innovation in
teaching practices.
· Rethinking assessment strategies in the age
of Generative AI.
· Ethical implications and responsible use of
Generative AI in education.
· Development of policy frameworks and
guidelines for Generative AI in educational institutions.
· The role of Generative AI in enhancing
research methodologies and academic writing.
· Addressing academic integrity, plagiarism,
and authenticity with Generative AI tools.
· Teacher professional development and
competencies for the AI-integrated classroom.
· Ensuring equity, access, and inclusion in the
deployment of Generative AI in diverse educational contexts.
· Curriculum redesign and development in
response to Generative AI advancements.
· Student perceptions, adoption, and critical
engagement with Generative AI tools.
· Data privacy, security, and intellectual
property concerns in AI-driven educational systems.
· Using Generative AI in faith-related practices.
4. Submission of Abstracts
Abstracts should be submitted in a Word document, with a maximum of 300 words, and must clearly indicate the topic, the problem being addressed, the research question(s), the methodology, and the relevance to the conference theme. Submissions should be emailed to [email protected] no later than 30th August 2025 (midnight Rwandan time). Selected abstracts will be announced within 10 days, and successful authors will receive detailed guidelines for submitting full papers.
5. Important Dates
· Abstracts Submission Deadline: 30th August 2025
· Assessment of Abstracts and Feedback Release: 15th September 2025
· Full Articles Submission Deadline: 31st November 2025
· Conference Dates: 12th – 14th December
2025
Done at Huye on 07th August 2025
Prof. Olu
Ojedokun
The PUR Vice Chancellor