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Tiffany-Anne M. Elliott – Assessment Update, 2025
The robust body of literature on the benefits of tutoring services clearly indicates a strong correlation between tutoring and student success. The students who most need tutoring, however, are least likely to utilize it. Because of this challenge, a writing center serving a medium-sized Midwestern community college explored how implementing…
Descriptors: Community Colleges, Writing (Composition), Laboratories, Pilot Projects
Monica E. Romero; Matthew K. Burns; Hoi Ting Wan; Heba Abdelnaby; Tiffany J. Crawford – Psychology in the Schools, 2025
This meta-analysis investigated the effects of peer tutoring interventions on the academic achievement of Emergent Bilingual (EB) students from preschool through Grade 12. Fourteen studies, including peer-reviewed journal articles and unpublished dissertations published between 2010 and 2021, were analyzed based on study characteristics, student…
Descriptors: Peer Teaching, Tutoring, Bilingual Students, Preschool Children
Yueyun Zhang; Jiankun Liu – Youth & Society, 2025
The recent increase in mental health problems and private tutoring (also called shadow education) among adolescents has been widely documented. This study relates involvement in private tutoring to depressive symptoms using data from a nationally representative sample of middle school students (grades 7-9, M[subscript age] = 13.90, N = 25,862) in…
Descriptors: Foreign Countries, Tutoring, Adolescents, Middle School Students
Mark Abdelshiheed; Tiffany Barnes; Min Chi – International Journal of Artificial Intelligence in Education, 2024
Two metacognitive knowledge types in deductive domains are procedural and conditional. This work presents a preliminary study on the impact of metacognitive knowledge and motivation on transfer across two Intelligent Tutoring Systems (ITSs), then two experiments on metacognitive knowledge instruction. Throughout this work, we trained students on a…
Descriptors: Metacognition, Intelligent Tutoring Systems, Cognitive Processes, Learning Strategies
A. N. Varnavsky – IEEE Transactions on Learning Technologies, 2024
The most critical parameter of audio and video information output is the playback speed, which affects many viewing or listening metrics, including when learning using tutoring systems. However, the availability of quantitative models for personalized playback speed control considering the learner's personal traits is still an open question. The…
Descriptors: Hierarchical Linear Modeling, Intelligent Tutoring Systems, Individualized Instruction, Electronic Learning
Linda Maria Laaksonen; Sonja Kosunen – Nordic Journal of Studies in Educational Policy, 2024
We examine private supplementary tutoring within the context of Finnish general upper secondary education. Specifically, we focus on profit-driven private preparatory course providers who cater to individual students and their families, aiming to improve applicants' prospects of gaining access to higher education. We examine this during a time…
Descriptors: Tutoring, Secondary School Students, College Admission, Educational Policy
Juan Zheng; Shan Li; Tingting Wang; Susanne P. Lajoie – International Journal of Educational Technology in Higher Education, 2024
Emotions play a crucial role in the learning process, yet there is a scarcity of studies examining emotion dynamics in problem-solving with fine-grained data and advanced tools. This study addresses this gap by investigating the emotional trajectories during self-regulated learning (SRL) phases (i.e., forethought, performance, and self-reflection)…
Descriptors: Medical Students, Problem Solving, Intelligent Tutoring Systems, Nonverbal Communication
James Cole; Page Keller; Jillian Kinzie; George D. Kuh – Experiential Learning and Teaching in Higher Education, 2024
While peer tutoring is a valued experiential activity, little is known about the peer tutoring experience and its relationship to desired 21st century outcomes of college. This paper features the results from a multi-institution study of the characteristics and benefits of peer tutoring for tutors. The National Survey of Student Engagement was…
Descriptors: Peer Teaching, Tutoring, College Students, Experiential Learning
Carly D. Robinson; Katharine Meyer; Chasity Bailey-Fakhoury; Amirpasha Zandieh; Susanna Loeb – Annenberg Institute for School Reform at Brown University, 2024
College students make job decisions without complete information. As a result, they may rely on misleading heuristics ("interesting jobs pay badly") and pursue options misaligned with their goals. We test whether highlighting job characteristics changes decision making. We find increasing the salience of a job's monetary benefits…
Descriptors: Undergraduate Students, Career Choice, Tutoring, Compensation (Remuneration)
Valentina Grion; Juliana Raffaghelli; Beatrice Doria; Anna Serbati – Educational Research and Evaluation, 2024
Feedback is crucial for improving student learning. In this regard, overcoming the transmissive conception of feedback in favour of its dialogic function introduces new reflections concerning the internal generative feedback process. In this regard, Nicol [(2020). The power of internal feedback: Exploiting natural comparator processes.…
Descriptors: Student Attitudes, Self Evaluation (Individuals), Feedback (Response), Individual Differences
Sajja, Ramteja; Sermet, Yusuf; Cwiertny, David; Demir, Ibrahim – International Journal of Educational Technology in Higher Education, 2023
Miscommunication between instructors and students is a significant obstacle to post-secondary learning. Students may skip office hours due to insecurities or scheduling conflicts, which can lead to missed opportunities for questions. To support self-paced learning and encourage creative thinking skills, academic institutions must redefine their…
Descriptors: College Students, Artificial Intelligence, Teaching Assistants, Intelligent Tutoring Systems
Scruggs, Richard; Baker, Ryan S.; Pavlik, Philip I., Jr.; McLaren, Bruce M.; Liu, Ziyang – Educational Technology Research and Development, 2023
Despite considerable advances in knowledge tracing algorithms, educational technologies that use this technology typically continue to use older algorithms, such as Bayesian Knowledge Tracing. One key reason for this is that contemporary knowledge tracing algorithms primarily infer next-problem correctness in the learning system, but do not…
Descriptors: Algorithms, Prediction, Knowledge Level, Video Games
Owusu-Fordjour, Collins; Koomson, Charles Kwesi; Annan, Stephen Twumasi; Asante, Ruth Otison – Science Education International, 2023
The study's goal was to determine how peer tutoring affected the anxiety of undergraduate students studying Integrated Science at the University of Education, Winneba (UEW) in Ghana's Central Region. The study used a cross-sectional survey research design. Out of 193 students majoring in Integrated Science in their last year at UEW, the…
Descriptors: Foreign Countries, Undergraduate Students, Science Instruction, Peer Teaching
Huang, Yun; Brusilovsky, Peter; Guerra, Julio; Koedinger, Kenneth; Schunn, Christian – Journal of Computer Assisted Learning, 2023
Background: Skill integration is vital in students' mastery development and is especially prominent in developing code tracing skills which are foundational to programming, an increasingly important area in the current STEM education. However, instructional design to support skill integration in learning technologies has been limited. Objectives:…
Descriptors: Intelligent Tutoring Systems, Coding, Programming, Skill Development
Wang, Tingting; Li, Shan; Huang, Xiaoshan; Pan, Zexuan; Lajoie, Susanne P. – Education and Information Technologies, 2023
Students process qualitatively and quantitatively different information during the dynamic self-regulated learning (SRL) process, and thus they may experience varying cognitive load in different SRL behaviors. However, there is limited research on the role of cognitive load in SRL. This study examined students' cognitive load in micro-level SRL…
Descriptors: Cognitive Processes, Difficulty Level, Learning Strategies, Self Efficacy