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Computers and Education: Artificial Intelligence
Scopus
ISSN 2666-920X · Elsevier · 600 artikel di indeks
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Artikel Jurnal
Less stress, better scores, same learning: The dissociation of performance and learning in AI-supported programming education
Introduction: Generative AI is reshaping programming education, yet its effects on conceptual learning, intrinsic motivation, and cognitive load remain unclear. This study tests whether assistance deepens understanding or primarily boosts task completion, and how scaffolded versus answer-giving…
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Artikel Jurnal
Large language models for education: An open-source paradigm for automated Q&A in the graduate classroom
Large Language Models (LLMs) offer scalable educational support, but face barriers regarding accuracy, cost, and learning depth. To interrogate these limitations, we developed the Teaching Assistant for Specialized Knowledge (TAsk), a retrieval-augmented generation enabled and educator curated…
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Artificial intelligence literacy at school: A systematic review with a focus on psychological foundations
Artificial Intelligence (AI) is significantly changing school education. The increasing prevalence of AI calls for a framework of AI-related literacy specifically tailored to the educational context. A growing body of research has attempted to conceptualise AI literacy (AIL) from different…
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Enhancing AI literacy for educators: Where to start and to what end?
As AI has become an integral part in current teaching and learning practices, educators' capacities to use AI technologies effectively and responsibly are closely tied to the quality of instruction and student learning outcomes. To provide a comprehensive examination for cultivating the relevant…
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Predicting student performance: A comprehensive review of machine learning, deep learning, and explainable AI approaches
The application of Machine Learning (ML) and Deep Learning (DL) in Educational Data Mining (EDM) is revolutionizing the educational field. Researchers have been particularly interested in predicting student performance at an early stage. These early predictions can significantly benefit students’…
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Artikel Jurnal
Stretching AI's reach: Assessing an AI-driven feedback system for extended academic writing
Advances in large language models (LLMs) enable timely and scalable writing evaluation. Previous research has shown that LLM-driven conversational systems, such as ChatGPT, can provide feedback on short essays. However, it is unclear whether AI can effectively evaluate more demanding genres. This…
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Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system
This paper introduces the design and development of a framework that integrates a large language model (LLM) with a retrieval-augmented generation (RAG) approach leveraging both a knowledge graph and user interaction history. The framework is incorporated into a previously developed adaptive…
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Artikel Jurnal
Play with AI (PL-AI): A play-centered, design-based curriculum for AI literacy in pre-K and kindergarten
This paper reports on the design, implementation, and refinement of Play with AI (PL-AI), a developmentally appropriate curriculum designed to introduce foundational artificial intelligence (AI) concepts to pre-kindergarten and kindergarten children. Using a design-based research (DBR) approach…
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Scaffolding critical thinking with generative AI: Design principles for integrating large language models in higher education
The rapid adoption of Large Language Models (LLMs) such as GPT-4 and DeepSeek R1 is transforming learning in higher education, yet unstructured use can weaken critical thinking by encouraging cognitive offloading, metacognitive disengagement, and reduced epistemic agency. This paper presents a…
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Pedagogy first, technology second: Cross-level relationships between teacher professional knowledge and student learning in artificial intelligence (AI) education
For current K-12 AI education, understanding how teacher professional knowledge influences student learning is essential. This study employed social cognitive theory to conceptualize teachers' instructional practice and conducted a multilevel structural equation model analysis to examine the…
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A framework for evaluation of large language models in essay assessment: Reliability, alignment, and causal reasoning
Recent advances in large language models have revitalized research on automated essay evaluation, yet critical concerns remain regarding their reliability, validity, and interpretability. This study presents a comparative analysis of five LLMs (GPT-4.1, Llama 4 Maverick, Gemini 2.5 Flash, Claude…
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Artikel Jurnal
Unleashing human potential: An artificial intelligence competency framework for K–12 education
This study explores strategic approaches for integrating artificial intelligence (AI) into K–12 education to prepare learners for the AI era. It addresses two critical questions: 1) What are the key components of AI competency frameworks identified in current research? 2) What framework can guide…
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Optimizing automated scoring in ILSAs with prompt compression
Automated scoring (AS) has become increasingly prevalent in educational measurement. However, applying it to international reading assessments remains challenging, particularly due to the length and complexity of the required prompting, driven by the need to include lengthy reading passages and…
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What undergraduate students need to know and actually know about generative AI
In November 2022, the release of ChatGPT sparked widespread adoption of generative AI chatbots among students, yet little is known about what undergraduate students actually understand about these tools or how accurately they perceive their capabilities. To address this gap, we propose a…
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Exploring the relationship between empowerment in using artificial intelligence for problem-solving and artificial intelligence ethical awareness: Multi-group structural equation modelling
While increasing attention has been given to cultivating students' artificial intelligence (AI) ethical awareness, the factors that contribute to its development remain underexplored. Psychological empowerment is a crucial motivational factor influencing students' intentions to incorporate ethical…
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A hybrid collaborative filtering and knowledge graph-based cross-domain recommendation method for multimodal teaching resources
This paper proposes a hybrid recommendation system that integrates collaborative filtering with a pedagogically structured knowledge graph for personalized multimodal English learning resource recommendation. Resources, concepts, and learner attributes are organized into four instructional…
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Artikel Jurnal
Reconceptualizing digital literacy in the AI era: A systematic review of validated frameworks from an ecological perspective
Advances in artificial intelligence (AI) have raised debate regarding whether the existing digital literacy frameworks are outdated and have called for developing new frameworks to keep pace with the growing adoption of AI technologies. Drawing on an ecological perspective and analyzing 80…
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Artikel Jurnal
Generative AI-assisted workflows in architectural conceptual design: Performance, creative self-efficacy, and cognitive load
Generative AI (GenAI) is increasingly adopted in design education, yet evaluating its educational value through final outcomes provides an incomplete picture. This study compares two ecologically plausible workflows in an architectural conceptual design task: GenAI-assisted image generation and…
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A mixed-methods analysis of AI scaffolding patterns and student inquiry profiles in a middle-school agriculture-STEM classroom
This study examines how generative AI can support middle school scientific inquiry in a rural agriculture-STEM classroom. Using a mixed-methods design with concurrent data collection and sequential analytic integration, we analyzed 42 eighth-grade students, organized into 12 groups, as they used…
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Agentivism: a learning theory for the age of artificial intelligence
Learning theories have historically changed when the conditions of learning evolved. Generative and agentic AI create a new condition by allowing learners to delegate explanation, writing, problem solving, and other cognitive work to systems that can generate, recommend, and sometimes act on the…