AIMC Topic: School Teachers
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A Multi-Modal Dataset for Teacher Behavior Analysis in Offline Classrooms.
Scientific data
Jul 1, 2025
Teacher behavior analysis is essential for enhancing teaching quality and advancing educational development. However, publicly available datasets specifically focused on teacher behavior are scarce, hindering research in this domain. Existing dataset...
Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.
PloS one
Jun 23, 2025
This study intends to empower English as a Foreign Language (EFL) teachers' perceptions of generative artificial intelligence (AI)-mediated self-professionalism in engagement, attitudes, constraints, and solutions. Employing the mixed methods researc...
Awareness, acceptance, and adoption of Gen-AI by K-12 mathematics teachers: an empirical study integrating TAM and TPB.
BMC psychology
May 6, 2025
In the 21st century, the variety of instructional media for mathematics has significantly diversified. Generative AI (Gen-AI) is one technology that K-12 teachers can utilize for teaching mathematics. However, as a new instructional medium, Gen-AI pr...
Assessing english Language teachers' pedagogical effectiveness using convolutional neural networks optimized by modified virus colony search algorithm.
Scientific reports
May 1, 2025
Effective teacher performance evaluation is important for enhancing the quality of educational systems. This study presents a novel approach that integrates deep learning and metaheuristics to assess the pedagogical quality of English as a foreign la...
Leveraging artificial intelligence to assess the impact of COVID-19 on the teacher-student relationship in higher education.
PloS one
Mar 24, 2025
The teacher-student relationship has far-reaching implications for educational outcomes at the tertiary level. Teachers contribute to students' success in various ways, including academic support, career counseling, personal mentoring, etc., that hel...
Attributional patterns toward students with and without learning disabilities: Artificial intelligence models vs. trainee teachers.
Research in developmental disabilities
Mar 15, 2025
This study explored differences in the attributional patterns of four advanced artificial intelligence (AI) Large Language Models (LLMs): ChatGPT3.5, ChatGPT4, Claude, and Gemini) by focusing on feedback, frustration, sympathy, and expectations of fu...
The role of STEM teachers' emotional intelligence and psychological well-being in predicting their artificial intelligence literacy.
Acta psychologica
Jan 14, 2025
This study explores the role of emotional intelligence and psychological well-being in predicting artificial intelligence literacy among STEM teachers. A total of 383 Chinese STEM teachers from Henan, Zhejiang, and Yunnan provinces participated. The ...
Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis.
BMC public health
Aug 27, 2024
BACKGROUND: Burnout is usually defined as a state of emotional, physical, and mental exhaustion that affects people in various professions (e.g. physicians, nurses, teachers). The consequences of burnout involve decreased motivation, productivity, an...
Socially-Assistive Robots to Support Learning in Students on the Autism Spectrum: Investigating Educator Perspectives and a Pilot Trial of a Mobile Platform to Remove Barriers to Implementation.
Sensors (Basel, Switzerland)
Aug 16, 2022
Technology offers educators tools that can tailor learning to students' learning styles and interests. Research into the use of socially-assistive robots as a learning support for children on the autism spectrum are showing promising results. However...
Robot teachers for children? Young children trust robots depending on their perceived accuracy and agency.
Developmental psychology
May 28, 2020
Children acquire extensive knowledge from others. Today, children receive information from not only people but also technological devices, like social robots. Two studies assessed whether young children appropriately trust technological informants. O...
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