The paper argues that over-engineered university cybersecurity protocols, while necessary, create significant accessibility barriers that disproportionately harm remote international students, particu…

This study surveyed higher education practitioners to map their beliefs and behaviors regarding AI integration, finding that while they view AI favorably, institutional barriers and gaps in design-ori…

This paper assesses HPC education at 102 academic institutions in Germany, identifying 178 HPC-related courses and evaluating their competency coverage and curricular placement, as well as examining l…

This paper presents a large-scale analysis of AI-based learning assistant (Syntea) usage in higher education using log data from 77,543 students.

This paper reports the first classroom deployment of LEA, an adaptive AI tutoring agent, with real students across three courses and evaluates its cross-course scalability.

This paper analyzes the shift in student adoption and accountability practices of GenAI tools in a graduate-level HCI prototyping course across three cohorts using GitHub data.

This paper examines how ChatGPT is framed in educational YouTube videos and investigates the relationship between framings and audience response, using multimodal metadata and Epistemic Network Analys…

The paper introduces EduMPI, a learning support tool for simplifying cluster usage and performance analysis of MPI parallel programs for students.

The paper proposes a comprehensive benchmark to systematically audit how varying persona prompts and model choices affect the technical quality and social representativeness of scholar recommendations…

The paper proposes a multimodal data analytics framework combining knowledge graphs and temporal modeling to accurately predict advanced mathematics learning difficulties and provide early academic wa…

The paper introduces a Cognitive Taxonomy and a rigorous evaluation protocol to provide an objective, multi-faceted framework for measuring system capabilities and tracking progress toward Artificial…

The paper proposes an interpretable, AI-driven decision layer that ranks course topics needing attention using multiple student and teacher signals, successfully identifying learning gaps before forma…

ParikkhaChain proposes a novel blockchain framework to manage the entire lifecycle of onsite academic examinations, ensuring transparency, eliminating bias, and preserving student privacy.

This paper introduces a framework to audit source-dependence in multi-source RAG systems, demonstrating that disagreement across institutional sources is a common and critical failure mode that curren…

The paper introduces BusinessCaseBench, a benchmark for measuring AI performance on analytical knowledge work using business cases and grading rubrics.

The paper introduces an ontology-driven framework, From Prompts to Context, to explicitly model and structure the often-opaque context of human-Generative AI collaborations, thereby improving traceabi…

This paper evaluates the effectiveness of cluster-based semantic chunking compared to fixed-size and recursive chunking in Retrieval-Augmented Generation systems using the Retrieval Augmented Generati…

The paper introduces a robust four-stage NLP framework that uses schema-constrained LLMs and ESCO vocabulary to accurately extract and align educational competencies with labor market demands, quantif…

This paper analyzes the use of generative AI for feedback in higher education based on 2988 instances from Estonian bachelor students, finding that students generally find it helpful but not a self-co…