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David B. Nelson; Anaelle Emma Gackiere; Samantha Elizabeth LeGrand; Daniel A. Guberman – Thresholds in Education, 2025
In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…
Descriptors: Teaching Methods, Learning Processes, Algorithms, Artificial Intelligence
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Keng-Chih Hsu; Neil E. Barrett; Gi-Zen Liu – Computer Assisted Language Learning, 2025
With the rise of augmented reality (AR) and context-aware ubiquitous learning (CAUL), pedagogical designers in computer assisted language learning are increasingly developing authentic English for Specific Purposes (ESP) learning environments. However, there has been little research regarding the development of evidence-based principles for…
Descriptors: Tourism, English for Special Purposes, Second Language Instruction, Second Language Learning
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Vesa Mollakuqe; Elissa Mollakuqe – International Electronic Journal of Mathematics Education, 2025
This study examines the impact of integrating GeoGebra software into teaching circle properties at the high school level, comparing it with traditional methods. Conducted over 8 weeks with 112 students aged 15-18, it included an experimental group using GeoGebra (56 students) and a control group with classical teaching methods (56 students). The…
Descriptors: Mathematics Education, Mathematics Instruction, Teaching Methods, Computer Assisted Instruction
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Zirong Chen; Elizabeth Chason; Noah Mladenovski; Erin Wilson; Kristin Mullen; Stephen Martini; Meiyi Ma – Grantee Submission, 2025
Emergency response services are vital for enhancing public safety by safeguarding the environment, property, and human lives. As frontline members of these services, 9-1-1 dispatchers have a direct impact on response times and the overall effectiveness of emergency operations. However, traditional dispatcher training methods, which rely on…
Descriptors: Computational Linguistics, Cues, Emergency Programs, Safety
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Jami Cotler; Eszter Kiss; Dmitry Burshteyn; Megan Hale; Amani Walker; John Slyer – Information Systems Education Journal, 2025
Developing empathy skills is crucial for software developers to create user-centric solutions and design exceptional user experiences addressing the diverse needs of customers. This paper presents the findings of a quasi-experimental study that aimed to enhance empathy among computer science students through the exposure of two interventions…
Descriptors: Computer Software, Empathy, Inclusion, Skill Development
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Hassan Saleh Mahdi; Ahmed Alkhateeb – International Journal of Computer-Assisted Language Learning and Teaching, 2025
This study aims to develop a robust rubric for evaluating artificial intelligence (AI)--assisted essay writing in English as a Foreign Language (EFL) contexts. Employing a modified Delphi technique, we conducted a comprehensive literature review and administered Likert scale questionnaires. This process yielded nine key evaluation criteria,…
Descriptors: Scoring Rubrics, Essays, Writing Evaluation, Artificial Intelligence
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Ahmet Can Uyar; Dilek Büyükahiska – International Journal of Assessment Tools in Education, 2025
This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
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Raigul Zheldibayeva – Educational Process: International Journal, 2025
Background/purpose: Despite the rapid assimilation of generative artificial intelligence (GenAI) into education, and initial evidence suggesting its potential in language learning, rigorous empirical investigations into its efficacy for cultivating specific language skills remain limited. This study aimed to address this lacuna by examining the…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Nonmajors
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Samuel Boguslawski; Rowan Deer; Mark G. Dawson – Information and Learning Sciences, 2025
Purpose: Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision. Design/methodology/approach: Twelve students and six members of faculty…
Descriptors: Programming, Computer Science Education, Personal Autonomy, Learning Motivation
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Bunyamin Celik; Yunus Yildiz; Saban Kara – Australian Journal of Applied Linguistics, 2025
Expressing thoughts and feelings efficiently is fundamental in daily, academic, and professional life. Accordingly, self-efficacy beliefs play pivotal roles in shaping learners' speaking performance through various dimensions. Higher education institutions assume responsibility for boosting students' speaking self-efficacy, thereby contributing to…
Descriptors: Self Efficacy, English (Second Language), Second Language Instruction, Second Language Learning
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Yasemin Karal; Rabia Özdemir Sarialioglu – International Journal of Technology in Education, 2025
The transformative impact of generative artificial intelligence (GenAI) on educational environments has led higher education institutions to make radical changes in their curricula and teaching approaches. By integrating GenAI technologies into the educational process, students will be able to have rich learning experiences. However, students'…
Descriptors: Metacognition, Anxiety, Student Attitudes, Rating Scales
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Abbes Sebihi; Leonie Schoelen; Berthilde Uwamwezi – Discover Education, 2025
In the wake of the COVID-19 pandemic, which hastened the digitalization of education, the imperative to harness Artificial Intelligence (AI)'s potential has never been more pressing. While studies abound on the broader impact of technology in education, there remains a conspicuous gap in understanding its specific implications for African…
Descriptors: Higher Education, Online Surveys, Educational Trends, Trend Analysis
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Mohamed Mekheimer – Discover Education, 2025
This study investigated the impact of generative AI-assisted writing feedback, specifically using Grammarly, on English as a Foreign Language (EFL) learners' writing proficiency, revision practices, and writing quality. Sixty postgraduate EFL students were randomly assigned to either an experimental group using Grammarly as an AI-enhanced feedback…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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Sabrina Belloula – International Journal of Research in Education and Science, 2025
This study explores the transformative potential of artificial intelligence (AI) in education, focusing on its integration into teaching practices in Qatar. Surveys and interviews with educators revealed that AI tools significantly reduce teacher workloads, enhance lesson quality, and increase student engagement. Teachers reported spending less…
Descriptors: Lesson Plans, Artificial Intelligence, Computer Software, Technology Integration
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Almeida, Gustavo de Oliveira; Bastos, Cesar Augusto Rangel – International Journal of Information and Communication Technology Education, 2018
The use of simulators and customized applications for educational use opens new possibilities in the teaching and learning process of the most varied disciplines through computer-mediated interactions. In this context, teachers are developing digital material considering this powerful tool. And the use of educational apps and simulators has…
Descriptors: Computer Oriented Programs, Usability, Physics, Science Instruction
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