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Graf von Malotky, Nikolaj Troels; Martens, Alke – International Association for Development of the Information Society, 2021
ITSs have the requirement to be adaptive to the student with AI. The classical ITS architecture defines three components to split the data and to keep it flexible and thus adaptive. However, there is a lack of abstract descriptions how to put adaptive behavior into practice. This paper defines how you can structure your data for case based systems…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Development, Instructional Improvement
Ayesha K. Hashim; Miles Davison; Sofia Postell; Jazmin Isaacs – NWEA, 2024
The share of at-risk students has increased post pandemic requiring a response that matches the magnitude of the impact. High dosage tutoring has been one strategy to address the needs. If implemented effectively and at the proper scale, accelerated academic growth is possible. This brief reviews the collection of research on high dosage tutoring,…
Descriptors: At Risk Students, Tutoring, Pandemics, COVID-19
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Soumya Ranjan Das; Madhusudan J. V. – International Journal of Technology in Education, 2024
In the context of contemporary technological advancements, Artificial Intelligence (AI) has gained considerable significance in the field of education. In light of ChatGPT's growing popularity, this research aims to explore how higher education students perceive the use of ChatGPT in academics, examining factors influencing its acceptance, as well…
Descriptors: Technology Uses in Education, Artificial Intelligence, Intelligent Tutoring Systems, Student Attitudes
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Minkyoung Kim; Lauren Adlof – TechTrends: Linking Research and Practice to Improve Learning, 2024
ChatGPT, an artificial intelligence (AI) language model, holds significant promise for improving the quality and efficiency of teaching and learning. However, its potential challenges and disruptions in education systems require further investigation for a deeper understanding and mitigation. Given that ChatGPT is already being utilized and…
Descriptors: Computer Software, Computational Linguistics, Intelligent Tutoring Systems, Teaching Methods
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Jules Buendgens-Kosten – Technology in Language Teaching & Learning, 2024
This paper approaches AI in TEFL teacher education from a perspective of digital text sovereignty (digitale Textsouveränität). Digital sovereignty (digitale Souveränität) is a concept that goes beyond media literacy and data literacy as a set of skills, to include personal competences in a more Humboldtian vision of education. Digital text…
Descriptors: Foreign Countries, Teacher Education, Language Teachers, English (Second Language)
Holly S. Kidder – ProQuest LLC, 2024
The purpose of this qualitative study is to determine how four rural school districts in East Tennessee worked to implement the third-grade retention law within their understanding and interpretation of the law to the benefit of the students and overall communities they serve. The study used a semi-structured questionnaire format conducted with a…
Descriptors: Grade Repetition, Grade 3, Rural Schools, Elementary School Students
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Trisha H. Borman; Geoffrey D. Borman; So Jung Park; Bo Zhu; Scott Houghton – Journal of Research on Educational Effectiveness, 2024
We present findings across three randomized trials of "Descubriendo la Lectura" (DLL), an intervention designed to improve literacy skills of Spanish-speaking first graders struggling with reading. DLL is a one-to-one Spanish-language literacy program lasting 12-20 weeks offered to a school's lowest performing emerging bilingual first…
Descriptors: Literacy, Elementary School Students, Grade 1, Spanish
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Ruohao Chen – New Directions for Adult and Continuing Education, 2024
Chinese leaders in the tutoring industry encountered a crisis brought about by the Pandemic and the Double Reduction Policy. This exploratory multi-case study applied a conceptual framework that combines informal learning, strategic thinking, and experiential learning theory to explore how those leaders learned to think strategically in this…
Descriptors: Tutoring, Industry, COVID-19, Pandemics
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Anas Hajar; Mehmet Karakus – Language Learning Journal, 2024
Unequal access to language learning resources has been exacerbated by the global expansion of English private tutoring (EPT). Despite its popularity, no study has examined the implications of EPT during the COVID-19 pandemic. Therefore, this mixed-methods study explored the nature and effectiveness of EPT that first-year Kazakhstani undergraduate…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
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Kromminga, Kourtney R.; Codding, Robin S. – Psychology in the Schools, 2024
While an abundance of evidence-based mathematics interventions are available to support students' mathematics fluency, research suggests that they are not often implemented within schools. Moreover, national data suggests that most students in the United States are not meeting grade level expectations in mathematics. This underperformance coupled…
Descriptors: Intervention, Instructional Effectiveness, Teaching Methods, Multiplication
Mark Duffy; Kri Burkander – Annenberg Institute for School Reform at Brown University, 2024
Drawing on qualitative data collected in a sample of colleges as part of a larger study on the implementation and impact of Assembly Bill 705 in California, this paper explores the rollout of corequisite reforms, focusing on the use of embedded tutors in introductory math and English courses as a strategy to meet to the needs of students. This…
Descriptors: Community Colleges, Community College Students, Tutoring, Mathematics Instruction
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Luiz Rodrigues; Filipe Dwan Pereira; Marcelo Marinho; Valmir Macario; Ig Ibert Bittencourt; Seiji Isotani; Diego Dermeval; Rafael Mello – Education and Information Technologies, 2024
Intelligent Tutoring Systems (ITS) have been widely used to enhance math learning, wherein teacher's involvement is prominent to achieve their full potential. Usually, ITSs depend on direct interaction between the students and a computer. Recently, researchers started exploring handwritten input (e.g., from paper sheets) aiming to provide…
Descriptors: Intelligent Tutoring Systems, Handwriting, Equal Education, Access to Education
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Andres Neyem; Luis A. Gonzalez; Marcelo Mendoza; Juan Pablo Sandoval Alcocer; Leonardo Centellas; Carlos Paredes – IEEE Transactions on Learning Technologies, 2024
Software assistants have significantly impacted software development for both practitioners and students, particularly in capstone projects. The effectiveness of these tools varies based on their knowledge sources; assistants with localized domain-specific knowledge may have limitations, while tools, such as ChatGPT, using broad datasets, might…
Descriptors: Computer Software, Artificial Intelligence, Intelligent Tutoring Systems, Capstone Experiences
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John Elwood Romig; Ashley Jetton – Journal of Special Education Technology, 2024
Repeated reading is an intervention with strong evidence for improving students' oral reading fluency. However, little research has examined the use of this intervention outside of traditional school contexts. School closures due to COVID-19 forced schools and teacher preparation programs to create new approaches to evidence-based reading…
Descriptors: Reading Instruction, Repetition, Intervention, COVID-19
Tonya Stewart-Magee – ProQuest LLC, 2024
This quantitative, causal-comparative study aims to examine the academic performance of all third-grade students who participated in after-school tutoring from English Language Arts (ELA) in comparison to those who did not, using the results from the 2022-2023 Mississippi Academic Assessment Program English Language Arts (MAAP ELA) assessment. The…
Descriptors: Grade 3, Elementary School Students, Tutoring, Language Arts
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