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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
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
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)
Colorado Department of Education, 2024
Significant interruptions to in-person learning due to the COVID-19 pandemic have led to potentially long-lasting negative impacts on student achievement, impacting every part of Colorado education. As cited by the National Student Success Accelerator (NSSA) at Stanford University, a meta-analysis reviewed tutoring interventions that were…
Descriptors: Supplementary Education, Tutoring, Tutorial Programs, Intervention
Md. Mirajul Islam; Xi Yang; John Hostetter; Adittya Soukarjya Saha; Min Chi – International Educational Data Mining Society, 2024
A key challenge in e-learning environments like Intelligent Tutoring Systems (ITSs) is to induce effective pedagogical policies efficiently. While Deep Reinforcement Learning (DRL) often suffers from "sample inefficiency" and "reward function" design difficulty, Apprenticeship Learning (AL) algorithms can overcome them.…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Teaching Methods, Algorithms
Helen Donaghue; Gill Adams – Studies in Continuing Education, 2025
It is widely recognised that an important aspect of doctoral study is the development of a researcher identity. However, little is known about how to support this. Although previous research has highlighted the importance of discursive engagement for researcher identity development, no studies examine talk or discuss how identities are constructed…
Descriptors: Doctoral Students, Self Concept, Student Research, Student Development
Assim S. Alrajhi – Education and Information Technologies, 2025
Motivated by the proliferation of artificial intelligence that has the potential to promote self-access learning, this study utilizes a sequential explanatory quasi-experimental mixed methods design to investigate the efficacy of Google Assistant (GA) in facilitating second language (L2) vocabulary learning compared to online dictionaries. A…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Vocabulary Development
Liu Tianbao; Pan Zhenbo – Education and Urban Society, 2025
Based on the survey data of shadow education activities of junior middle school students in Dalian, China in 2020, this paper analyzes the socio-spatial differentiation of participation, activity spatial distribution and travel distance. It's found that: (1) The participation rate reaches 74.17%. In general, the higher socioeconomic status strata…
Descriptors: Tutoring, Private Education, Foreign Countries, Urban Areas
William T. Faranda – Marketing Education Review, 2025
Students' approaches to learning, including "deep," "surface," or "strategic" methods, significantly impact their academic success and skill development. This study investigates the transition in learning approach preferences among marketing majors, comparing junior-level students beginning their upper-division…
Descriptors: Business Education, Marketing, Capstone Experiences, Academic Achievement
Adeyinka Oluwaseun Kareem; Temitayo Grace Ewuola – Acta Educationis Generalis, 2025
Introduction: The research determined the effectiveness of Peer-tutoring Instructional Strategy (PTIS) and Experiential Instructional Strategy (EIS) on Biology students' academic performance and self-efficacy in schools. Methods: The research adopted a pre-test, post-test, control group quasi-experimental research design. The data collected were…
Descriptors: Peer Teaching, Tutoring, Secondary School Students, Biology
Vít Štastný; Barbora Nekardová – Cambridge Journal of Education, 2025
While previous research on private tutoring has focused predominantly on its meso- or macro-level determinants, this qualitative study, anchored in the literature on parental involvement, explores proximal factors, including psychological and situational influences, that affect parental decisions to seek private tutoring. The study is based on…
Descriptors: Foreign Countries, Parents, Tutoring, Parent Participation
Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan S. Baker; Vincent Aleven; Kenneth R. Koedinger – International Educational Data Mining Society, 2025
Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend this line of research to an underexplored aspect of self-regulation: students' decisions about when to…
Descriptors: Decision Making, Computer Software, Tutoring, Electronic Learning
Zarqa Shaheen; Pak Hang Tse – International Journal on E-Learning, 2025
Since ChatGPT offers free access for everyone, it has created a new phenomenon and has the potential to disrupt the education industry. The primary purpose of this quantitative study is to understand the factors that influence the use of ChatGPT in tertiary education, how it motivates students to learn and how the potential misuse negatively…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Intelligent Tutoring Systems
Maria Zumbuehl; Stefanie Hof; Stefan C. Wolter – Education Economics, 2025
This study explores how private tutoring relates to students' transitions to demanding post-compulsory schools and their success there, considering their competencies after tutoring but before the transition. Analyzing PISA and linked register data from Switzerland, we find that students who received private tutoring before the transition are more…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment

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