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Grubišic, Ani; Žitko, Branko; Stankov, Slavomir – Journal of Technology and Science Education, 2020
In intelligent e-learning systems that adapt a learning and teaching process to student knowledge, it is important to adapt the system as quickly as possible. However, adaptation is not possible until the student model is initialized. In this paper, a new approach to student model initialization using domain knowledge representative subset is…
Descriptors: Electronic Learning, Educational Technology, Models, Intelligent Tutoring Systems
Patikorn, Thanaporn; Heffernan, Neil T. – Grantee Submission, 2020
It has been shown in multiple studies that expert-created on-demand assistance, such as hint messages, improves student learning in online learning environments. However, there are also evident that certain types of assistance may be detrimental to student learning. In addition, creating and maintaining on-demand assistance are hard and…
Descriptors: Electronic Publishing, Group Experience, Tutoring, Electronic Learning
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification
Li, Haiying; Graesser, Art C. – Grantee Submission, 2020
This study investigated how computer agents' language style affects summary writing in an Intelligent Tutoring System, called CSAL AutoTutor. Participants interacted with two computer agents in one of three language styles: (1) a "formal" language style; (2) an "informal" language style; and (3) a "mixed" language…
Descriptors: Intelligent Tutoring Systems, Language Styles, Writing (Composition), Writing Improvement
Elaine Allensworth; Nate Schwartz – EdResearch for Recovery Project, 2020
This brief is one in a series aimed at providing K-12 education decision makers and advocates with an evidence base to ground discussions about how to best serve students during and following the novel coronavirus pandemic. Learning losses are likely to show up differently across grades and subjects, with intensive recovery needs concentrated in…
Descriptors: Retention (Psychology), Intervention, COVID-19, Pandemics
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Lydia Rainey; Paul Hill; Robin Lake; Lisa Chu; Daniel Silver – Center on Reinventing Public Education, 2025
In the aftermath of the COVID-19 pandemic, student achievement levels remains low and adult approval of public schools is at its lowest point in decades. For nearly all student groups, but especially those who have been historically underserved, recovery remains unfinished business and a generation of American students is at risk of never catching…
Descriptors: Students, Teachers, Educational Development, Educational Improvement
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Robin Lake; Paul Hill – Center on Reinventing Public Education, 2025
Five years after the start of the Covid-19 pandemic, student achievement levels are in free fall. According to the National Assessment of Educational Progress (NAEP) results released in late January 2025, fewer than one-third of students nationwide scored at proficiency levels in reading and math. Achievement gaps by race, income, and other…
Descriptors: Students, Teachers, Educational Development, Educational Improvement
Afterschool Alliance, 2025
The issue brief spotlights five exemplary afterschool programs that embody these essential characteristics in their programming and strategies to re-engage students. Down in Baton Rouge, Louisiana, the Baton Rouge Youth Coalition (BRYC) connects 8th-12th grade students with a "nucleus of adult support," including mentors, counselors, and…
Descriptors: Attendance, Cooking Instruction, Physical Activities, Age Differences
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Xu Li; Wee Hoe Tan; Yu Bin; Peng Yang; Qiancheng Yang; Taukim Xu – Education and Information Technologies, 2025
Globally, physical education curricula are progressively integrating intelligent physical education systems, a breakthrough in physical technology. These systems utilise advanced data analytic and sensing technologies, significantly enhancing the interactivity and personalisation of physical activity, thus improving students' athletic performance…
Descriptors: Undergraduate Students, Intelligent Tutoring Systems, Physical Education, Curriculum
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Alexander Tobias Neumann; Yue Yin; Sulayman Sowe; Stefan Decker; Matthias Jarke – IEEE Transactions on Education, 2025
Contribution: This research explores the benefits and challenges of developing, deploying, and evaluating a large language model (LLM) chatbot, MoodleBot, in computer science classroom settings. It highlights the potential of integrating LLMs into LMSs like Moodle to support self-regulated learning (SRL) and help-seeking behavior. Background:…
Descriptors: Computer Science Education, Databases, Information Systems, Classroom Environment
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Xin Gong; Huixia Gu; Wei Gao; Siyuan Wang – School Effectiveness and School Improvement, 2025
In 2021, China issued the "Double Reduction" (DR) policy to reduce the within- and outside-school burden on students. The policy requires all compulsory education schools to provide after-school services such as homework tutoring and well-rounded development activities for willing students. Based on student survey data from 13 schools in…
Descriptors: Foreign Countries, After School Programs, Social Emotional Learning, Tutoring
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Wen-Min Hsieh; Hui-Chin Yeh; Nian-Shing Chen – Computer Assisted Language Learning, 2025
Research on how the use of social robots helps improve English as Foreign Language (EFL) young learners' pronunciation and willingness to communicate (WTC) is understudied. This study developed a robot and tangible objects (R&T) learning system and examined its impact on elementary EFL learner's English pronunciation and WTC. The R&T…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Task Analysis
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Carly Jean Colbert – Journal of Prison Education Research, 2025
The United States prison industry is the largest in the world. With the reintroduction of Second Chance Pell in 2015, more people are starting their education while incarcerated, and some attempt to finish after release. However, they are faced with numerous barriers that may prevent graduation. Drawing on Astin's theory of student involvement,…
Descriptors: Institutionalized Persons, Correctional Institutions, Access to Education, Barriers
Judith Scott-Clayton; Irwin Garfinkel; Elizabeth Ananat; Sophie Collyer; Robert Paul Hartley; Anastasia Koutavas; Buyi Wang; Christopher Wimer – Annenberg Institute for School Reform at Brown University, 2025
In 2015, the City University of New York (CUNY) launched a new program--Accelerate, Complete, and Engage (ACE)--aimed at improving college graduation rates. A randomized-control evaluation of the program found a nearly 12 percentage point increase in graduation five years after college entry. Using this impact estimate and national data on…
Descriptors: Bachelors Degrees, Graduation Rate, Intervention, Outcomes of Education
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Zhang, Wei – ECNU Review of Education, 2019
Purpose: This article examines responses from the tutoring sector to Chinese national and local government regulations on private supplementary tutoring. It adds to the literature on policy enactment, showing the importance of context and noting the diversity of tutoring providers compared with schools. Design/Approach/Methods: The article draws…
Descriptors: Foreign Countries, Private Education, Supplementary Education, Tutoring
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