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Ana-Inés Renta-Davids; Marta Camarero-Figuerola; Mar Camacho – Review of Education, 2025
The increasing integration of Artificial Intelligence (AI) in educational settings is transforming the role of school leaders, reshaping how decisions are made, and introducing both opportunities and challenges. This paper presents the findings of a scoping review that synthesises the current literature on AI's impact on educational leadership.…
Descriptors: Artificial Intelligence, Instructional Leadership, Technology Integration, Decision Making
Yucheng Chu; Hang Li; Kaiqi Yang; Harry Shomer; Yasemin Copur-Gencturk; Leonora Kaldaras; Kevin Haudek; Joseph Krajcik; Namsoo Shin; Hui Liu; Jiliang Tang – International Educational Data Mining Society, 2025
Open-text responses provide researchers and educators with rich, nuanced insights that multiple-choice questions cannot capture. When reliably assessed, such responses have the potential to enhance teaching and learning. However, scaling and consistently capturing these nuances remain significant challenges, limiting the widespread use of…
Descriptors: Grading, Automation, Artificial Intelligence, Natural Language Processing
Mohsin Murtaza; Chi-Tsun Cheng; Mohammad Fard; John Zeleznikow – International Journal of Artificial Intelligence in Education, 2025
As modern vehicles continue to integrate increasingly sophisticated Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) functions, conventional user manuals may no longer be the most effective medium for conveying knowledge to drivers. This research analysed conventional, paper and video-based instructional methods versus a…
Descriptors: Educational Change, Driver Education, Motor Vehicles, Natural Language Processing
Sean Kelly; Gizem Guner; Nicholas Hunkins; Sidney K. D'Mello – International Journal of Artificial Intelligence in Education, 2025
We present the Teacher Talk Tool, which automatically analyzes classroom audio and provides formative feedback on key aspects of teachers' classroom discourse (e.g., use of open-ended questions). The tool was designed to promote teacher learning by focusing attention and sense-making on their discourse. We conducted a feedback-response study where…
Descriptors: High School Teachers, English Teachers, Classroom Communication, Automation
Andrea Gjorevski; Mimi Li; Troy L. Cox – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Open access to novel AI tools offers unprecedented opportunities for human-AI collaboration in writing instruction and assessment. While research on using generative AI tools like ChatGPT in these contexts is emerging, more is needed to understand their effectiveness as Automated Writing Evaluation (AWE) tools. This study explores the potential of…
Descriptors: Artificial Intelligence, Criterion Referenced Tests, Essay Tests, Automation
Perrotta, Carlo; Gulson, Kalervo N.; Williamson, Ben; Witzenberger, Kevin – Critical Studies in Education, 2021
Digital platforms have become central to interaction and participation in contemporary societies. New forms of 'platformized education' are rapidly proliferating across education systems, bringing logics of datafication, automation, surveillance, and interoperability into digitally mediated pedagogies. This article presents a conceptual framework…
Descriptors: Computer Uses in Education, Automation, Instruction, Participation
Ceylan, Hasan Can; Hardalaç, Naciye; Kara, Ali Can; Hardalaç Firat – World Journal of Education, 2021
Because the classification saves time in the learning process and enables this process to take place more easily, its contribution to music learning cannot be denied. One of the most valid and effective methods in music classification is music genre classification. Given the rapid progress of music production in the world and the significant…
Descriptors: Music, Classification, Automation, Music Education
Muhammad Afzaal; Aayesha Zia; Jalal Nouri; Uno Fors – Technology, Knowledge and Learning, 2024
Self-regulated learning is an essential skill that can help students plan, monitor, and reflect on their learning in order to achieve their learning goals. However, in situations where there is a lack of effective feedback and recommendations, it becomes challenging for students to self-regulate their learning. In this paper, we propose an…
Descriptors: Feedback (Response), Artificial Intelligence, Independent Study, Automation
Heng Zhang; Minhong Wang – Knowledge Management & E-Learning, 2024
With the fast development of artificial intelligence and emerging technologies, automatic recognition of students' facial expressions has received increased attention. Facial expressions are a kind of external manifestation of emotional states. It is important for teachers to assess students' emotional states and adjust teaching activities…
Descriptors: Artificial Intelligence, Models, Recognition (Psychology), Nonverbal Communication
Hanan Khalil; Danielle Pollock; Patricia McInerney; Catrin Evans; Erica B. Moraes; Christina M. Godfrey; Lyndsay Alexander; Andrea Tricco; Micah D. J. Peters; Dawid Pieper; Ashrita Saran; Daniel Ameen; Petek Eylul Taneri; Zachary Munn – Research Synthesis Methods, 2024
Objective: This paper describes several automation tools and software that can be considered during evidence synthesis projects and provides guidance for their integration in the conduct of scoping reviews. Study Design and Setting: The guidance presented in this work is adapted from the results of a scoping review and consultations with the JBI…
Descriptors: Automation, Computer Software, Synthesis, Protocol Analysis
UK Department for Education, 2024
Over the last year, interest in and use of generative artificial intelligence (GenAI) has rapidly increased. Although GenAI is not new, recent advances in the underlying technology and greater accessibility mean that the public can now use it more easily. This poses opportunities and challenges for the education sector. The Digital Strategy…
Descriptors: Artificial Intelligence, Technology Uses in Education, Automation, Information Technology
Gilbert Dizon; John M. Gayed – Cogent Education, 2024
The use of automated writing evaluation (AWE) in second language (L2) writing contexts has increased dramatically, as evidenced by the large body of research published on the topic over the past decade. Considering this, several systematic reviews on AWE have been published. Nevertheless, none of these review studies has exclusively focused on the…
Descriptors: Literature Reviews, Meta Analysis, Second Language Learning, Writing Evaluation
Vanda Santos; Joana Teles; Pedro Quaresma – International Journal for Technology in Mathematics Education, 2024
Using a Dynamic Geometry System (DGS) students can engage in a dynamic learning process that allows them to experiment, create strategies, make conjectures, argue, and deduce mathematical properties. A DGS enables the introduction of proofs, by providing visual aids. The proof of the conjectures made emerges as the next step towards formalising…
Descriptors: Grade 7, Mathematics Education, Geometry, Validity
Sören Rüttgers; Ulrike Kuhl; Benjamin Paaßen – International Educational Data Mining Society, 2024
To train two-versus-two sports, it is beneficial to play regularly with varying teammates and opponents of similar skill level. However, even in small classes, it is almost impossible for a human instructor to maintain an accurate overview of each student's skill development to optimize teams and pairings accordingly. Therefore, we propose an…
Descriptors: Team Sports, Athletics, Training, Skill Development
Davis, Van L. – WICHE Cooperative for Educational Technologies (WCET), 2023
This resource is a quick primer on AI, with examples of what the different programs can generate based on user prompts, challenges and opportunities, discussion of implications and our recommendations for higher education institutions.
Descriptors: Artificial Intelligence, Higher Education, Automation, Writing (Composition)

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