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Feng, Siyuan – Hungarian Educational Research Journal, 2021
Private supplementary tutoring, or shadow education, has become a global phenomenon, and China is among the countries where it is most prevalent. By 2019, China's private tutoring industry had grown into a prominent sector providing educational services to millions of students and parents. This article examines the development process of shadow…
Descriptors: Social Systems, Private Education, Tutoring, Commercialization
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Fuchs, Lynn S.; Malone, Amelia S. – Elementary School Journal, 2021
The purpose of this causal-comparative study was to gain insight into whether teaching fractions improves teachers' understanding of fractions. University master's students (n = 25) conducted tutoring on fraction magnitude in grades 3-5. The contrast condition, 17 master's students drawn from the same pool of research assistant applicants,…
Descriptors: Mathematics Teachers, Mathematics Instruction, Pedagogical Content Knowledge, Graduate Students
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Ferro, Lauren S.; Sapio, Francesco; Terracina, Annalisa; Temperini, Marco; Mecella, Massimo – IEEE Transactions on Learning Technologies, 2021
Education and training are among the fields taking advantage of serious games (SGs). In this article, we present Gea 2: A New Earth, a digital SG developed as an immersive 3-D virtual learning environment, integrating several educational resources, including multimedia learning material, communication tools, and intelligent tutoring support. The…
Descriptors: Educational Games, STEM Education, Technology Uses in Education, Intelligent Tutoring Systems
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Haglund, Pontus; Strömbäck, Filip; Mannila, Linda – Informatics in Education, 2021
Controlling complexity through the use of abstractions is a critical part of problem solving in programming. Thus, becoming proficient with procedural and data abstraction through the use of user-defined functions is important. Properly using functions for abstraction involves a number of other core concepts, such as parameter passing, scope and…
Descriptors: Computer Science Education, Programming, Programming Languages, Problem Solving
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Aldohon, Hatem – Educational Studies, 2021
The role that tutors should play in a tutorial session has long been discussed and debated in the writing centre literature. However, little attention has been given to tutor perceptions and actual practices, particularly vis-à-vis writing conferences. This study investigated and compared the perceptions and actual practices of two experienced…
Descriptors: Laboratories, Writing (Composition), Tutoring, Tutors
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Peng, Xiaoling; Wu, Bian – Journal of Computers in Mathematics and Science Teaching, 2021
The present study aimed to explore learning performance and gains in two different tutoring styles, i.e., directive tutoring and facilitative tutoring, in STEM learning design discussion. Thirty-three pre-service teachers enrolled in an online training program, and completed 12 learning design activities with a directive tutor or a facilitative…
Descriptors: Tutoring, Cooperative Learning, STEM Education, Preservice Teachers
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Taran, Konstantin V.; Korolev, Aleksey A.; Ludwig, Sergey D.; Pestereva, Nina M. – European Journal of Contemporary Education, 2021
This work examines the private education sector in the Caucasus in the prerevolutionary period. Consideration is given to the distinctive characteristics of the development of secondary, lower, and primary private education in the region. The key sources used in putting this work together are the annual Reports on Educational Institutions in the…
Descriptors: Private Education, Tutoring, Foreign Countries, Educational History
Olney, Andrew M.; Gilbert, Stephen B.; Rivers, Kelly – Grantee Submission, 2021
Cyberlearning technologies increasingly seek to offer personalized learning experiences via adaptive systems that customize pedagogy, content, feedback, pace, and tone according to the just-in-time needs of a learner. However, it is historically difficult to: (1) create these smart learning environments; (2) continuously improve them based on…
Descriptors: Educational Technology, Computer Assisted Instruction, Learning Analytics, Intelligent Tutoring Systems
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Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2021
Student modeling is useful in educational research and technology development due to a capability to estimate latent student attributes. Widely used approaches, such as the Additive Factors Model (AFM), have shown satisfactory results, but they can only handle binary outcomes, which may yield potential information loss. In this work, we propose a…
Descriptors: Models, Student Characteristics, Feedback (Response), Error Correction
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Regula Windlinger; Laura Züger – International Journal for Research on Extended Education, 2021
Extended education services are expanding in Switzerland. Their quality depends on the working conditions and well-being of staff. This study examined the relationships between job demands, job resources and well-being using the job demands-resources (JD-R) model. 655 staff members from 113 extended education services from three Swiss cantons…
Descriptors: Foreign Countries, Well Being, Work Environment, Labor Demands
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Bull, Susan – IEEE Transactions on Learning Technologies, 2020
This overview outlines key issues in learning with an open learner model (OLM). Originally, learner models remained hidden, as their primary role was to enable a system to personalize the educational interaction. Opening the model in an understandable form provides additional methods of prompting reflection, planning, and other metacognitive…
Descriptors: Intelligent Tutoring Systems, Models, Student Characteristics, Educational Research
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Lawson, Duncan; Grove, Michael; Croft, Tony – International Journal of Mathematical Education in Science and Technology, 2020
Mathematics support, the provision of additional learning opportunities to, primarily, non-mathematics specialist undergraduates has grown significantly since the early 1990s, particularly in the UK, Ireland and Australia. Alongside the growth in volume of provision, there has been a marked increase in the amount of research and scholarship…
Descriptors: Mathematics Education, Remedial Mathematics, Student Characteristics, Tutors
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Wang, Shanyong; Yu, Haotian; Hu, Xianfeng; Li, Jun – British Journal of Educational Technology, 2020
The advancement of technology, especially the development and application of artificial intelligence, has deeply affected the education sector and brought opportunities for pedagogical adaptation. Intelligent tutoring systems, a major application of artificial intelligence in education, have drawn extensive concerns. However, in reality, the…
Descriptors: College Faculty, Teacher Attitudes, Technology Integration, Intelligent Tutoring Systems
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Phillips, Andrea; Pane, John F.; Reumann-Moore, Rebecca; Shenbanjo, Oluwatosin – Educational Technology Research and Development, 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
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de Chiusole, Debora; Stefanutti, Luca; Anselmi, Pasquale; Robusto, Egidio – International Journal of Artificial Intelligence in Education, 2020
An intelligent tutoring system for learning basic statistics, called Stat-Knowlab, is presented and analyzed. The algorithms implemented in the system are based on the competence-based knowledge space theory, a mathematical theory developed for the formative assessment of knowledge and learning. The system's architecture consists of the two…
Descriptors: Statistics, Intelligent Tutoring Systems, Mathematics Instruction, Formative Evaluation
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