Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration DOI Creative Commons
Lucas Kohnke, Di Zou, Amy Wanyu Ou

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100398 - 100398

Опубликована: Март 1, 2025

Язык: Английский

Professional Development Analytics: A Smart Model for Industry 5.0 DOI Creative Commons
Natalia Tusquellas, Raúl Santiago Campión, Ramón Palau

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(4), С. 2057 - 2057

Опубликована: Фев. 16, 2025

This paper presents a novel AI-driven conceptual smart model designed to help organizations enhance workforce professional development by upskilling and reskilling employees while fostering job satisfaction staying competitive in their markets; this is called Professional Development Analytics (PDA). The model’s main focus provide new design that concentrates on how artificial intelligence (AI) can optimize personalized training it improve employees’ technical soft skills, enabling companies create talent map at the same time. By compiling personnel data roles within company, AI able detailed profiles. In next stage, information classified, analyzed, used current skills also predicting future needs. These processes result creation of learning paths, where recommends customized courses tailored each employee’s unique system will be automatically fed adjusted means gathered continuous feedback from supervisors. proposed tools are powered machine learning, deep natural language processing, generative analytics. Our aims support departments delivering precise, solutions address needs, skill growth through an automated process.

Язык: Английский

Процитировано

0

The Use of AI by Undergraduate Students of Social Education in Spain and Portugal: A Case Study DOI Creative Commons
Sara Martínez-Carrera, Cristina Sánchez-Martı́nez, Sandra Fernandes

и другие.

Education Sciences, Год журнала: 2025, Номер 15(3), С. 390 - 390

Опубликована: Март 20, 2025

Artificial Intelligence (AI) is currently transforming many areas of society, including education. AI offers innovative tools and methods that personalise learning, automate processes improve the educational experience. Social education seeks to foster integral human development collective well-being, can be a powerful tool achieve these goals. For this reason, main objective study learn about use by future social educators. This research approached from qualitative methodology. A total 69 undergraduate students Education two universities in Spain Portugal participated study. As results conclusions, it worth highlighting educators define with key words such as tools, technology or help-solution. Most had used throughout their academic life. In fact, they academically, at work personally search for information generate images, mainly through ChatGPT (version 4.0). They highlighted an advantage speed information, time-saving feature. The limitation was reduction activities. general, considered has positive impact would like continue using it.

Язык: Английский

Процитировано

0

How Can (A)I Research This? An Autoethnographic Exploration of Generative AI in Research, Teaching and Instructional Design DOI Creative Commons
Stefanie Panke

Journal of Teacher Education, Год журнала: 2025, Номер unknown

Опубликована: Март 29, 2025

The autoethnographic study investigates the transformative impact of generative AI on educational research, instructional design, and teaching practices over a 5-month period (May–October 2024). By integrating tools into every phase research process, examines AI’s role as both partner subject inquiry. Field notes, queries, AI-generated outputs were systematically collected, creating corpus for analysis. Grounded in activity theory, this offers reflective narrative evolving work routines designers educators, emphasizing orchestration technology rather than prescriptive best practices. contributes to by documenting use at specific point time, providing foundation future inquiry practical implications education.

Язык: Английский

Процитировано

0

The More Anxious, the More Dependent? The Impact of Math Anxiety on AI‐Assisted Problem‐Solving DOI
Feng Chen, Jihe Chen,

Yanying Xu

и другие.

Psychology in the Schools, Год журнала: 2025, Номер unknown

Опубликована: Апрель 4, 2025

ABSTRACT Although the use of AI technology driven by anxiety has become increasingly common, research on relationship between high school students' math and their intention to for problem‐solving remains limited. This study, grounded in Stimulus‐Organism‐Response (SOR) model, aims explore solving problems among students. Using Math Anxiety Scale (AMAS), Perceived Social Support (PSSS), Problem‐Solving Behavior (AIPS), data from 391 students were collected. The analysis revealed following: (1) Students report levels a strong inclination tools problems; (2) support plays significant role alleviating anxiety, with family being most effective, followed friends teachers; (3) High are effective means reducing anxiety. study suggests that should be addressed, focus regulating application education promote its scientific use. Additionally, improving relationships providing mental health recommended alleviate an emotional social perspective. provides valuable insights educators policymakers, offering important references designing more human‐centered educational interventions, thereby promoting artificial intelligence mathematics education.

Язык: Английский

Процитировано

0

AI Translation Tools in Language Learning DOI
Shazia Ayyaz

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 43 - 72

Опубликована: Март 14, 2025

The chapter highlights the impact of AI for teaching translation skills focusing on usage tools by investigates English language learning. It how these technologies bridge gaps in acquisition and enhance various examining studies contexts learning translation. covers aspects unveiling ways facilitate vocabulary expansion, grammar understanding, pronunciation improvement while providing real-time contextual support. also addresses challenges using tools, such as over-reliance, inaccuracies, need critical engagement, offering strategies educators learners to integrate effectively taking into consideration ethical issues. a wide range context present comprehensive picture readers' insight artificial intelligence contexts. concludes that has transformed field completely most influence is positive but issues fake translations are be addressed more efficiently.

Язык: Английский

Процитировано

0

Attitude Towards Teacher-AI Collaboration in Academic Writing Instruction DOI
Shawana Fazal

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 15 - 42

Опубликована: Март 14, 2025

This chapter investigates teachers' attitude towards collaborative AI in academic writing instruction. Fifteen teachers were selected from three public sector universities the Khyber Pakhtunkhwa province of Pakistan. Semi-structured interviews explored for teacher-AI collaboration, apprehensions, ethical considerations using GenAI tools and measures to address these concerns. Thematic analysis revealed five key themes: i) acceptance willingness use AI, ii) perceived value relevance writing, iii) iv) challenges regarding v) suggestions enhance collaboration. Findings a positive instruction readily accessible, precise, structured information. However, are concerned about unethical GenAI. They advocated responsible verifying data accuracy through alternative original sources. Teacher training professional development recommended tailored instructional practices.

Язык: Английский

Процитировано

0

Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration DOI Creative Commons
Lucas Kohnke, Di Zou, Amy Wanyu Ou

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100398 - 100398

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0