Results 131 to 140 of about 3,082,730 (293)
This study investigates how university students’ flow experience influences their engagement in AI-assisted English writing, with particular attention to the mediating role of writing self-efficacy. Accordingly, the following hypotheses are proposed: H1:
Wang, Zihui
core +1 more source
Three-wave cross-lagged model on the correlations between critical thinking skills, self-directed learning competency and AI-assisted writing [PDF]
The impact of Artificial Intelligence (AI) on English writing is gaining prominence. This study aimed to examine the interplay between critical thinking skills, self-directed learning competency, and Artificial Intelligence writing by cross-lagged model,
Teng, Mark Feng, Shen, Xiaolei
core +1 more source
The Benefits and Risks of AI-Assisted Academic Writing: Insights from Current Research
This paper explores the transformative role of Artificial Intelligence (AI) tools, specifically ChatGPT, in the acquisition of English as a foreign language. With the rapid evolution of educational technology, AI-driven chatbots like ChatGPT offer innovative methodologies to augment language teaching and learning.
openaire +3 more sources
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Gallium microalloying redirects interfacial reactions in low‐temperature Bi–Sn solders from Cu–Sn toward Cu–Ga intermetallic formation. The resulting Cu–Ga layer suppresses intermetallic growth during thermal aging, alters fracture pathways, and improves interfacial stability.
Iva Králová +6 more
wiley +1 more source
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan +4 more
wiley +1 more source
Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen +14 more
wiley +1 more source
Challenges In Ai-Assisted Academic Writing: A Case Study
Artificial Intelligence (AI) has become a widespread tool in various academic fields, offering capabilities that range from machine translation to automated content generation. However, the application of AI in composing academic papers is subjected to inaccuracies, particularly in adhering to the conventional demands of academic writing.
openaire +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source

