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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
Müslüm Atas; Helmut Lindner; Thomas Strametz; Fatima Jammoul; Johannes Feiner; Antonius Metry Saad – International Association for Development of the Information Society, 2024
With the rapid growth of digital education, e-learning has become essential for offering accessible and flexible learning opportunities. This paper investigates strategies to achieve long-term learning outcomes and reduce study time in e-learning. It explores various techniques, including self-testing, spaced repetition, and the serial position…
Descriptors: Electronic Learning, Time on Task, Memory, Learning Strategies
J. Pablo Rosas Baldazo; Yasmín Á. Ríos-Solís; Romeo Sánchez Nigenda – Interactive Learning Environments, 2024
Learning path generation involves the computation of learning trajectories to personalize academic instruction to prevent school problems. The Educational Planning Problem (EPP) considers generating personalized learning paths by scheduling activities that satisfy expected grades while minimizing plans makespan. In this work, we propose two…
Descriptors: Study Habits, Scheduling, Time Management, Computer Software
Robert C. Lorenz; Mirjam Jenny; Anja Jacobs; Katja Matthias – Research Synthesis Methods, 2024
Conducting high-quality overviews of reviews (OoR) is time-consuming. Because the quality of systematic reviews (SRs) varies, it is necessary to critically appraise SRs when conducting an OoR. A well-established appraisal tool is A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2, which takes about 15-32 min per application. To save time,…
Descriptors: Decision Making, Time Management, Evaluation Methods, Quality Assurance
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
Annika Manni; Håkan Löfgren – Contemporary Issues in Early Childhood, 2024
This article focuses on the methodological experiences that emerged from a study investigating how teachers valued their daily encounters with children in early childhood education. Early childhood teachers often balance the demands of documentation with time spent with children, so have little time to reflect on their practice. Furthermore,…
Descriptors: Foreign Countries, Early Childhood Education, Early Childhood Teachers, Reflection
Shadi Alawneh – Discover Education, 2024
The HCS12 microcontroller and DRAGON12-Light Trainer boards are extensively utilized in microprocessor system design education. This paper details the rationale, approach, and outcomes from implementing the DRAGON12-Light Trainer board in teaching an upper-level undergraduate microprocessors course at Oakland University. The course's primary goal…
Descriptors: Computer Science Education, Programming Languages, Computer Software, 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
Masato Nakamura; Shota Momma; Hiromu Sakai; Colin Phillips – Cognitive Science, 2024
Comprehenders generate expectations about upcoming lexical items in language processing using various types of contextual information. However, a number of studies have shown that argument roles do not impact neural and behavioral prediction measures. Despite these robust findings, some prior studies have suggested that lexical prediction might be…
Descriptors: Diagnostic Tests, Nouns, Language Processing, Verbs
Hallam, Kelly Forbes – International Journal of Social Research Methodology, 2022
The observations in this paper follow online focus group research involving mothers who play video games as a leisure pursuit. The study utilised an online focus group method within a custom online forum which split the forum into small virtual rooms, replicating small face-to-face focus groups in an online environment. The primary objective of…
Descriptors: Focus Groups, Mothers, Video Games, Leisure Time
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

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