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Phillips, Andrea; Pane, John F.; Reumann-Moore, Rebecca; Shenbanjo, Oluwatosin – Grantee Submission, 2020
Evidence is emerging that technology-based curricula and adaptive learning systems can personalize students' learning experiences and facilitate development of mathematical skills. Yet, evidence of efficacy in rigorous studies for these blended instructional models is mixed. These studies highlight challenges implementing the systems in…
Descriptors: Intelligent Tutoring Systems, Program Implementation, Computer Software, Mathematics Skills
Ju, Song; Zhou, Guojing; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2020
Identifying critical decisions is one of the most challenging decision-making problems in real-world applications. In this work, we propose a novel Reinforcement Learning (RL) based Long-Short Term Rewards (LSTR) framework for critical decisions identification. RL is a machine learning area concerning with inducing effective decision-making…
Descriptors: Decision Making, Reinforcement, Artificial Intelligence, Man Machine Systems
Yao Wang; Sara Ganassin – Educational Review, 2025
This paper examines the experiences of 23 teachers who work in privately-run migrant schools (PMSs) in South-West China. Such schools cater for the needs of internal migrant children who do not often have access to free state education provision because of their lack of status in their new cities. We draw data from an ethnographic-informed…
Descriptors: Foreign Countries, Private Schools, Migrant Education, Teaching Experience
Li, Xiao; Xu, Hanchen; Zhang, Jinming; Chang, Hua-hua – Journal of Educational and Behavioral Statistics, 2023
The adaptive learning problem concerns how to create an individualized learning plan (also referred to as a learning policy) that chooses the most appropriate learning materials based on a learner's latent traits. In this article, we study an important yet less-addressed adaptive learning problem--one that assumes continuous latent traits.…
Descriptors: Learning Processes, Models, Algorithms, Individualized Instruction
Serra, Ramiro; Martinez, Cecilia; Vertegaal, Cornelis J. C.; Sundaramoorthy, Prem; Bentum, Mark J. – IEEE Transactions on Education, 2023
Contribution: This article describes how a peer learning strategy called student-led tutorials (SLTs) can improve student performance in an electromagnetism course (EM). This study provides empirical evidence on how promoting student active participation in collaborative problem-solving activities improves performance rates. Background: In 2019,…
Descriptors: College Students, Difficulty Level, Advanced Courses, Tutorial Programs
Wang, Tingting; Zheng, Juan; Tan, Chengyi; Lajoie, Susanne P. – Journal of Computer Assisted Learning, 2023
Background: Computer-based scaffolding has been intensively used to facilitate students' self-regulated learning (SRL). However, most previous studies investigated how computer-based scaffoldings affected the cognitive aspect of SRL, such as knowledge gains and understanding levels. In contrast, more evidence is needed to examine the effects of…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Computer Assisted Instruction, Intelligent Tutoring Systems
Lu, Jijian; Tao, Yan; Xu, Jinghao; Stephens, Max – Interactive Learning Environments, 2023
This study is the extension of our previous visualizing study on the commognition processes in computer-supported one-to-one tutoring. With the help of the scale of commognitive responsibility score, we found that the main triggers of the commognition process shift are the positive transfer of knowledge and cognitive conflict. On the basis of…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Tutoring, Artificial Intelligence
Okamoto, Tyler – ProQuest LLC, 2023
Purpose: What are the best strategies for teaching Generation 1.5 community college students in transfer-level English courses? Why are some students successful and others not? The purpose of this study was to determine through a phenomenological design how Generation 1.5 students describe the experience of receiving validation or invalidation…
Descriptors: Community College Students, English (Second Language), Program Effectiveness, Student Attitudes
National Comprehensive Center, 2023
The Summer and Afterschool Needs Assessment helps youth serving programs and organizations learn best practices and identify areas where they might benefit from guidance or support. The Needs Assessment draws from the best available evidence on what constitutes high-quality afterschool and summer learning programs and organizes these Success…
Descriptors: Summer Programs, After School Programs, Needs Assessment, Best Practices
Ayse Sezer – Online Submission, 2023
In order to keep up with the speed of science and technology in today's conditions, it is important for human beings to constantly renew themselves and adapt to the changing world and living conditions. In this content, education plays a significant role, and art education, in particular, hold a pioneering role in nurturing civilized individuals.…
Descriptors: Artificial Intelligence, Teaching Methods, Freehand Drawing, Child Development
Jane O'Toole – Irish Educational Studies, 2023
This paper argues that the combination of (i) creative language pedagogy informed by sociocultural theory (SCT), and (ii) a participatory, democratic approach to language learning inclusive of learner voice, supports language (re-) engagement for Irish language learners and educators in English-medium education, and in society at large. Firstly,…
Descriptors: Foreign Countries, Second Language Learning, Irish, Student Empowerment
Emily Morton; Ayesha Hashim – EdResearch for Action, 2023
Three years after the onset of the pandemic, there is little evidence of academic recovery in the U.S. The latest data reveal a sobering reality: In spite of many school districts' efforts to accelerate learning, students remain far behind pre-pandemic levels of achievement. Even more troubling, many students did not accelerate their progress at…
Descriptors: Retention (Psychology), Intervention, Student Improvement, At Risk Students
Priti Oli; Rabin Banjade; Arun Balajiee Lekshmi Narayanan; Peter Brusilovsky; Vasile Rus – Grantee Submission, 2023
Self-efficacy, or the belief in one's ability to accomplish a task or achieve a goal, can significantly influence the effectiveness of various instructional methods to induce learning gains. The importance of self-efficacy is particularly pronounced in complex subjects like Computer Science, where students with high self-efficacy are more likely…
Descriptors: Computer Science Education, College Students, Self Efficacy, Programming
Wesley Morris; Scott Crossley; Langdon Holmes; Chaohua Ou; Danielle McNamara; Mihai Dascalu – Grantee Submission, 2023
As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need arises to automatically provide formative feedback to written responses provided by students in response to readings. This study develops models to automatically provide feedback to student summaries written at the end of intelligent textbook sections.…
Descriptors: Textbooks, Electronic Publishing, Feedback (Response), Formative Evaluation
Fang Xu – ProQuest LLC, 2023
Measuring reading engagement is critical for monitoring student involvement in academic tasks, as it predicts student reading achievement and further academic success (Anderson et al., 2021; Guthrie et al., 2012). As a multidimensional construct, researchers have employed various methods to assess reading engagement (Gill & Remedios, 2013; Lee…
Descriptors: Learner Engagement, Reading Achievement, College Students, Tutoring

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