The field of educational technology is undergoing significant transformations with the integration of artificial intelligence (AI). Recent developments indicate a shift towards more personalized, interactive, and adaptive learning experiences. AI-driven systems are being designed to support students, teachers, and educators in various aspects of learning, including assessment, feedback, and content creation. Noteworthy advancements include the development of AI-powered tutoring systems, intelligent tools for evaluating student performance, and innovative approaches to teaching programming concepts. These technologies have the potential to enhance student engagement, improve learning outcomes, and increase access to quality education. Key areas of innovation include the use of generative AI for content creation, AI-assisted grading and feedback, and the development of more sophisticated natural language processing tools for educational applications. Overall, the field is moving towards a more integrated and holistic approach to education, leveraging AI to support human teaching and learning.
Advancements in AI-Driven Educational Technologies
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Closing the Block-to-Text Gap: A Domain-Specific JavaScript Editor for Early Computational Thinking
Tracing Mathematical Proficiency Through Problem-Solving Processes
CogEvo-Edu: Cognitive Evolution Educational Multi-Agent Collaborative System
Teaching an Online Multi-Institutional Research Level Software Engineering Course with Industry - an Experience Report
ACM COMPUTE 2025 Best Practices Track Proceedings
The Invisible Hand: Characterizing Generative AI Adoption and its Effects on An Online Freelancing Market
"Can you feel the vibes?": An exploration of novice programmer engagement with vibe coding
Teacher, But Also Student: Challenges and Tech Needs of Adult Braille Learners with Sight
Functional Python Programming in Introductory Computer Science Courses
SocraticAI: Transforming LLMs into Guided CS Tutors Through Scaffolded Interaction
Ancient Algorithms for a Modern Curriculum
Generative AI Practices, Literacy, and Divides: An Empirical Analysis in the Italian Context
AITutor-EvalKit: Exploring the Capabilities of AI Tutors
Eval Factsheets: A Structured Framework for Documenting AI Evaluations
Rethinking AI Evaluation in Education: The TEACH-AI Framework and Benchmark for Generative AI Assistants
ChatGPT-5 in Secondary Education: A Mixed-Methods Analysis of Student Attitudes, AI Anxiety, and Hallucination-Aware Use
The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All
Artificial Intelligence Competence of K-12 Students Shapes Their AI Risk Perception: A Co-occurrence Network Analysis
On the Role and Impact of GenAI Tools in Software Engineering Education
TaskEval: Synthesised Evaluation for Foundation-Model Tasks
The Ethics of Generative AI
Reflection-Satisfaction Tradeoff: Investigating Impact of Reflection on Student Engagement with AI-Generated Programming Hints
SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
Developing a General Personal Tutor for Education