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Kolb, John; Farrar, Scott; Pardos, Zachary A. – International Educational Data Mining Society, 2019
Misconceptions have been an important area of study in STEM education towards improving our understanding of learners' construction of knowledge. The advent of largescale tutoring systems has given rise to an abundance of data in the form of learner question-answer logs in which signatures of misconceptions can be mined. In this work, we explore…
Descriptors: Misconceptions, Expertise, Mathematics Teachers, Semantics
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Weitekamp, Daniel, III.; Harpstead, Erik; MacLellan, Christopher J.; Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2019
Computational models of learning can be powerful tools to test educational technologies, automate the authoring of instructional software, and advance theories of learning. These mechanistic models of learning, which instantiate computational theories of the learning process, are capable of making predictions about learners' performance in…
Descriptors: Computation, Models, Learning, Prediction
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Charoenroop, Pattrawut – rEFLections, 2021
Private tutoring has, over the past decades, been a key educational phenomenon for Thai college-bound students, having received both praise and condemnation. This qualitative case study shows that private English tutoring in Thailand has expanded beyond the 'shadow education' discussed by Bray (1999). Five tutor-student pairs were interviewed via…
Descriptors: Second Language Instruction, English (Second Language), Private Education, Tutoring
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Namkung, Jessica M.; Bricko, Nicole – Journal of Learning Disabilities, 2021
The purpose of this study was to examine the effects of algebraic equation solving intervention for sixth graders with mathematics learning difficulties (MD). A total of 48 students with MD were randomly assigned to either the algebraic equation solving intervention, "Mystery Math" (n = 24) or control condition (n = 24). The…
Descriptors: Algebra, Equations (Mathematics), Problem Solving, Mathematics Skills
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Wang, Dongqing; Han, Hou – Journal of Computer Assisted Learning, 2021
With the development of a technology-supported environment, it is plausible to provide rich process-oriented feedback in a timely manner. In this paper, we developed a learning analytics dashboard (LAD) based on process-oriented feedback in iTutor to offer learners their final scores, sub-scale reports, and corresponding suggestions on further…
Descriptors: Learning Analytics, Educational Technology, Feedback (Response), Intelligent Tutoring Systems
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Inan, Fethi Ahmet; Ari, Fatih; Flores, Raymond; Zaier, Amani; Arslan-Ari, Ismahan – International Journal on E-Learning, 2021
This study explored the effectiveness of an adaptive web-based learning tutorial designed to teach three modules of a college level introductory statistics course. Specifically, the impact of the tutorial on student knowledge, motivation, and study time was examined. One hundred thirty four college students were randomly assigned to study from…
Descriptors: Web Based Instruction, Instructional Effectiveness, College Students, Introductory Courses
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Harati, Hoda; Sujo-Montes, Laura; Tu, Chih-Hsiung; Armfield, Shadow J. W.; Yen, Cherng-Jyh – Education Sciences, 2021
Adaptive learning is an educational method that uses computer algorithms and artificial intelligence (AI) to customize learning materials and activities based on each user's model. Adaptive learning has been used for more than 20 years. However, it is still unique, and no other system could bring more or even similar capabilities than the ones…
Descriptors: Intelligent Tutoring Systems, Questionnaires, Self Management, Learning Strategies
Benz, Sarah A.; Powell, Sarah R. – Remedial and Special Education, 2021
Some elementary students may exhibit challenging externalizing or internalizing behaviors in addition to difficulty with mathematics. In this study, we explored the behavioral patterns of 441 third-grade students with and without mathematics difficulty (MD). Compared with students without MD, students with MD demonstrated higher rates of…
Descriptors: Word Problems (Mathematics), Intervention, Mathematics Instruction, Learning Problems
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Sales, Adam C.; Pane, John F. – Journal of Research on Educational Effectiveness, 2021
Randomized evaluations of educational technology produce log data as a bi-product: highly granular data on student and teacher usage. These datasets could shed light on causal mechanisms, effect heterogeneity, or optimal use. However, there are methodological challenges: implementation is not randomized and is only defined for the treatment group,…
Descriptors: Educational Technology, Use Studies, Randomized Controlled Trials, Mathematics Curriculum
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Okinyi, Rachel A.; Nyerere, Jackline K. A.; Kariuki, Samson I. – African Educational Research Journal, 2021
The efficiency of educational institutions is critical in the justification of resource allocation and use. However, some developing countries like Kenya face efficiency challenges regarding resource utilisation and the flow of students through the school system at various levels of education and programs. Past research in Kenya has focused more…
Descriptors: Foreign Countries, Vocational Education, Developing Nations, Resource Allocation
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Mousavi, Amin; Schmidt, Matthew; Squires, Vicki; Wilson, Ken – International Journal of Artificial Intelligence in Education, 2021
Greer and Mark's (2016) paper suggested and reviewed different methods for evaluating the effectiveness of intelligent tutoring systems such as Propensity score matching. The current study aimed at assessing the effectiveness of automated personalized feedback intervention implemented via the Student Advice Recommender Agent (SARA) in a first-year…
Descriptors: Automation, Feedback (Response), Intervention, College Freshmen
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Aluko, Folake Ruth – Open Praxis, 2021
Effective student support is key in stemming the dropout in distance education. This article reports on the student support provision in a hybrid teacher education programme. Altogether 160 participants were purposively selected; 126 completed a survey, 33 (30 students and 3 administrative staff) took part in six focus group discussions; and one…
Descriptors: Blended Learning, Teacher Education Programs, Distance Education, Tutoring
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Yung, Kevin Wai-Ho – Asia Pacific Journal of Education, 2021
Private tutoring is one of the unintended outcomes of high-stakes testing and has become a widespread global phenomenon. It is called shadow education because it mimics the mainstream curriculum. From the critical perspective, this study investigated the role of private tutoring in a context of high-stakes testing through Interpretative…
Descriptors: Foreign Countries, Private Education, Tutoring, Secondary School Students
Prihar, Ethan; Patikorn, Thanaporn; Botelho, Anthony; Sales, Adam; Heffernan, Neil T. – Grantee Submission, 2021
As more educators integrate their curricula with online learning, it is easier to crowdsource content from them. Crowdsourced tutoring has been proven to reliably increase students' next problem correctness. In this work, we confirmed the findings of a previous study in this area, with stronger confidence margins than previously, and revealed that…
Descriptors: Electronic Publishing, Group Experience, Tutoring, Individualized Instruction
Safran, Stephanie; Slavin, Robert E.; Manko, Joe; Manekin, Sarah – Abell Foundation, 2021
The Baltimore City Public School System (City Schools) faces a major challenge as more students begin to return to school buildings following the COVID-19 closures. Although City Schools invested in high-quality remote teaching and learning systems, many students have been unable to take full advantage due to lack of technology and challenging…
Descriptors: Literacy Education, Urban Schools, Public Schools, Tutoring
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