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Billur Aksoy; Lester R. Lusher; Scott E. Carrell – National Bureau of Economic Research, 2025
Phone usage in the classroom has been linked to worsened academic outcomes. We present findings from a field experiment conducted at a large public university in partnership with an app marketed as a soft commitment device that provides incentives to reduce phone use in the classroom. We find that app usage led to improvements in classroom focus,…
Descriptors: Attention Control, Telecommunications, Handheld Devices, Universities
Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan S. Baker; Vincent Aleven; Kenneth R. Koedinger – International Educational Data Mining Society, 2025
Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend this line of research to an underexplored aspect of self-regulation: students' decisions about when to…
Descriptors: Decision Making, Computer Software, Tutoring, Electronic Learning
Jonathan W. Camp; Heather Johnson – Communication Teacher, 2025
This paper introduces generative AI for the graphic design of student presentation aids in a university public-speaking classroom. Students learn to use generative AI as an efficient enhancement to the creative process while preserving the integrity of the content. Students' slide presentations show improvement resulting from the activity, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Public Speaking, Computer Software
Bryan R. Drost; Char Shryock – Phi Delta Kappan, 2025
Creating assessment questions aligned to standards is a time-consuming task for teachers, but large language models such as ChatGPT can help. Bryan Drost & Char Shryock describe a three-step process for using ChatGPT to create assessments: 1) Ask ChatGPT to break standards into measurable targets. 2) Determine how much time to spend on each…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Cleon Xavier; Luiz Rodrigues; Newarney Costa; Rodrigues Neto; Gabriel Alves; Taciana Pontual Falcao; Dragan Gasevic; Rafael Ferreira Mello – IEEE Transactions on Learning Technologies, 2025
Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…
Descriptors: Teacher Empowerment, Learning Analytics, Artificial Intelligence, Computer Software
Maria Tsiani; Ioannis Lefkos; Nikolaos Fachantidis – Journal of Pedagogical Research, 2025
As AI continues to transform educational practices, understanding its potential benefits, limitations, and ethical implications is critical. This study explores future educators' perceptions of generative ?? in higher education. Through a mixed-methods approach, this research gathered insights from undergraduate and master's level students on…
Descriptors: Graduate Students, Undergraduate Students, Student Attitudes, Technology Integration
Tina Jaber Rafidi; Nabiha El Khatib – Discover Education, 2025
As generative AI tools like ChatGPT become increasingly integrated into academic settings, understanding students' perspectives is critical--particularly in underrepresented regions such as Lebanon and Palestine. A mixed-methods approach using survey data and thematic analysis of in-depth interviews was employed to analyze students' perceived…
Descriptors: Cross Cultural Studies, Artificial Intelligence, Technology Integration, Teaching Methods
Nesrin Hark Söylemez – SAGE Open, 2025
The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…
Descriptors: Preservice Teachers, Teacher Education Programs, Cultural Awareness, Gender Differences
Jung Won Hur; Jay Bhuyan; Fan Wu – Journal of STEM Education: Innovations and Research, 2025
To address disparity issues in STEM fields, this study implemented a culturally relevant, hands-on learning program tailored for African American high school students from low-income areas in America's Deep South. The program included a one-month summer academy followed by a four-month collaborative app design project using MIT App Inventor. A…
Descriptors: STEM Education, Student Interests, African American Students, High School Students
Melanie W. Jensen; Peter J. Rich – International Journal of Designs for Learning, 2025
In the teaching of math-fact automaticity, most classroom teachers are unaware of research-based practices such as the use of a controlled response time, the scaffolded teaching of individual math facts, the limiting of exposure to new math facts, the separation of math facts with common operands, and even the definition of automaticity. As a…
Descriptors: Computer Software, Mathematics Instruction, Evidence Based Practice, Scaffolding (Teaching Technique)
Peer reviewedZirong 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
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
Patrick R. Lowenthal; Christopher Prokes; Amy Lomellini; Crystal Gasell – Open Praxis, 2025
As online education grows, ensuring accessibility for diverse and marginalized learners has become increasingly critical. This study investigated faculty perceptions of Anthology Ally, a tool designed to enhance the accessibility of online course materials by identifying and resolving accessibility issues. Using survey data from 78 educators at…
Descriptors: Online Courses, Instructional Design, College Faculty, Teacher Attitudes
Louis Alexiz C. Urbina – Online Submission, 2025
This research investigated how collaborative e-learning strategies affected the understanding of DNA Replication among the 9th-grade Biology CC class. The study involved 24 diverse students (ages 15-17), including regular education students, English Language Learners (ELLs), and students with IEPs selected through proportional stratified random…
Descriptors: Cooperative Learning, Science Instruction, Teaching Methods, Outcomes of Education
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