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Yurttas Kumlu, Gülfem Dilek; Yürük, Nejle – International Journal of Contemporary Educational Research, 2023
The study aimed to investigate cognitive and metacognitive strategies and products of cognitive and metacognitive processes that preservice science teachers engaged in while reading heat-temperature text after being exposed to no reading strategy instruction, explicit reading strategy instruction,and peer tutoring reading strategy instruction.…
Descriptors: Cognitive Processes, Metacognition, Preservice Teachers, Science Teachers
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Mark Duffy; Kri Burkander – Research for Action, 2023
Drawing on qualitative data collected in a sample of colleges as part of a larger study on the implementation and impact of AB 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 paper…
Descriptors: Tutoring, Community Colleges, Educational Policy, Required Courses
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Mashraky Mustary – Bulgarian Comparative Education Society, 2024
Private tutoring has become a pervasive phenomenon in Bangladesh, with significant implications for educational equity and quality. This paper examines the policy landscape surrounding private tutoring and proposes comprehensive strategies to mitigate its adverse effects on the education system. Through a systematic review of existing literature…
Descriptors: Tutoring, Private Education, Foreign Countries, Policy Formation
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Vaso Anastasiou; Yiota H. Diakou; Charoula Angeli – International Association for Development of the Information Society, 2024
This study examines the impact of educational robotics and cross-age peer tutoring in primary education and focuses explicitly on the outcomes for tutors and tutees. Forty students from a public school in a European country participated, with fifth graders as tutors and fourth graders as tutees. Using the LEGO Education SPIKE Prime Set, both…
Descriptors: Robotics, Peer Teaching, Tutoring, Outcomes of Education
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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
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
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Fernandes, Vitor Borsatto; Tavares, Igor Ferreira; Magalhães, Giovana de Aquino; de Oliveira Prado, Danielle Gonçalves; de Oliveira Prado, Isabelle Gonçalves; Vieira, Lucas Augusto – International Society for Technology, Education, and Science, 2022
Brazil is a country that does not invest enough in basic education, thus leaving a gap in the knowledge of young people studying in public schools and jeopardizing their future. One of the main ways to get into college in Brazil is through the National High School Exam (ENEM), a multiple-choice test administered by the National Institute of…
Descriptors: Foreign Countries, College Entrance Examinations, Test Preparation, Test Coaching
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
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Jordan, Pamela; Albacete, Patricia; Katz, Sandra – Grantee Submission, 2016
Prior research aimed at identifying linguistic features of tutoring that predict learning found interactions between student characteristics (e.g., incoming knowledge level, gender, and affect) and learning. This paper addresses the question: "What do these interactions suggest for developing adaptive natural-language tutoring systems?"…
Descriptors: Intelligent Tutoring Systems, Tutoring, Natural Language Processing, Student Characteristics
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Herppich, Stephanie; Steininger, Tim; Wittwer, Joerg – AERA Online Paper Repository, 2018
Students in one-on-one tutoring learn best when tutors elicit their constructive responses to scaffold them. Tutors' non-eliciting explanations, in contrast, seem to be less beneficial for learning. Usually, tutors use less eliciting strategies than would be optimal. They, however, seem to use more eliciting in procedural domains (e.g.,…
Descriptors: Physics, Science Instruction, Scaffolding (Teaching Technique), Teaching Methods
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Fissore, Cecilia; Floris, Francesco; Marchisio, Marina; Rabellino, Sergio – International Association for Development of the Information Society, 2019
University tutoring consists of a set of heterogeneous actions aimed to support students, upon entering the University and throughout their academic life. The tutoring implements the resources needed to cope with possible difficulties in each phase of the training process. It also provides information and advice to better address the study course,…
Descriptors: Tutoring, Integrated Learning Systems, College Students, Electronic Learning
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Mustary, Mashraky – Bulgarian Comparative Education Society, 2019
This paper defines shadow education as private supplementary tutoring that is fee-based and parallel to mainstream schooling. The study focuses specific attention on the underlying determinants of this private tutoring. This research covers the costs, patterns, intensity, and scale of private tutoring. It also provides detailed insight into the…
Descriptors: Foreign Countries, Private Education, Tutoring, Supplementary Education
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Madaio, Michael; Lasko, Rae; Ogan, Amy; Cassell, Justine – International Educational Data Mining Society, 2017
Social relationships, such as interpersonal closeness or rapport, can lead to improved student learning, but such dynamic, interpersonal phenomena can be difficult for educational support technologies to detect. In this paper, we describe an approach for rapport detection in peer tutoring, using temporal association rules learned from nonverbal,…
Descriptors: Peer Teaching, Tutoring, Peer Relationship, Time
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Moumoulidou, Maria; Karadimitriou, Kostas; Pliogou, Vassiliki – International Journal of Psychology and Educational Studies, 2020
Peer tutoring has been implemented for two academic years (2017-18 and 2018-19) to a course and the internship of a postgraduate program of the Department of Education Sciences in Early Childhood of the Democritus University of Thrace. Until now fourteen students (eight students and six tutors) have been involved to the method. The purpose of this…
Descriptors: Peer Teaching, Tutoring, Tutors, Program Implementation
Kestel, Eugénie – Mathematics Education Research Group of Australasia, 2019
In this paper, part of a larger study investigating the efficacy of targeted tuition for 30 upper primary and middle school students with mathematical learning difficulties (MLD) is described. Mathematics anxiety (MA) was measured before and after 24 individual tuition sessions delivered to one group by personal videoconferencing (PVC) and to…
Descriptors: Mathematics Anxiety, Performance Factors, Elementary School Students, Middle School Students
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