Research, shared.
Questions, continued.

CARE: A Framework for Cultural Assessment of Responsive AI through an Ethical Lens

Mahajan, R. & Beaton, C.

Oral presentation · Valencia, Spain

Proposes a framework for ethical and culturally responsive AI-mediated assessment in higher education. The paper establishes the conceptual foundations and a three-phase mixed-methods research design for examining cultural inclusivity, pedagogical alignment, and institutional readiness.

About the conference: The International Technology, Education and Development Conference brings together educators and researchers working on teaching and technology. Topics include curriculum design, teacher training, and digital learning.

Barriers and Bridges: Generative AI for Multiple Language Learners

Beaton, C. & Mahajan, R.

Oral presentation · Valencia, Spain

Combines qualitative interviews with independent and AI-supported tasks to examine multiple language learners’ use of generative AI. The work considers literacy, reliance on AI, and the challenges educators face when interpreting AI-supported student submissions.

Multiple Language Learners in an Artificial Intelligence World: Faculty Perceptions and Pedagogical Challenges in Education

Beaton, C. & Mahajan, R.

Published in EDULEARN26 Proceedings · Palma, Spain conference

Examines computing faculty perspectives on multiple language learners’ use of generative AI. Concerns include students’ critical evaluation of AI-generated content, language-model bias, unequal access, and ethical use. This work informs a socially responsible AI taxonomy for inclusive education.

About the conference: The International Conference on Education and New Learning Technologies connects educators, researchers, and technology professionals. Participants share research and practical approaches to teaching and learning through presentations and workshops.

NORMAN: A Retrieval Artificial Intelligence Augmented Teaching Assistant for Higher Education

Donovan, M., Shadangi, S., Ganskop, D., Beaton, C. & Mahajan, R.

Published in EDULEARN26 Proceedings · Palma, Spain conference

Introduces a human-centered retrieval-augmented generation teaching assistant grounded in faculty-provided course materials. Traceable source attribution, role-based access, and on-premise AI infrastructure support the design goals of transparency, security, and usability while addressing hallucination risks.

Importance of Diverse Role Models in Education to Support Equal Education Opportunity and Inclusivity

Iwamoto, Y., Roberts, A., Mahajan, R. & Beaton, C.

Princeton University, New Jersey · IEEE Xplore

Examines underrepresentation of people of color, individuals with disabilities, and LGBTQIA+ communities among higher education faculty. The paper argues that faculty diversity is essential to equity, belonging, and the retention of underrepresented students in STEM.

About the conference: The IEEE Integrated STEM Education Conference explores how science, technology, engineering, and mathematics can be taught together. It emphasizes hands-on learning through engineering and design projects.