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Qinghao Guan; Yangxi Han – Innovations in Education and Teaching International, 2025
As generative AI (GenAI) continues to permeate academia, distinguishing between student-authored essays and those by Large Language Models (LLMs) becomes crucial for maintaining academic integrity. This study conducted a survey on the ethical awareness of using generative AI tools among a group of STEM students (n=156). Also, we empirically…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Intelligent Tutoring Systems
Chuanjian Zhang; Na Sun; Yueshuai Jiang; Huacong Liu; Qinhui Huang – Asia-Pacific Education Researcher, 2025
Peer tutoring has become a widely used practice in higher education institutions to support students' academic success, although its effects remain controversial. This article synthesizes 27 independent experimental and quasi-experimental studies to examine the relationship between peer tutoring programs and college students' academic performance,…
Descriptors: Peer Teaching, Tutoring, Academic Achievement, Higher Education
Smitha S. Kumar; Michael A. Lones; Manuel Maarek; Hind Zantout – ACM Transactions on Computing Education, 2025
Programming demands a variety of cognitive skills, and mastering these competencies is essential for success in computer science education. The importance of formative feedback is well acknowledged in programming education, and thus, a diverse range of techniques has been proposed to generate and enhance formative feedback for programming…
Descriptors: Automation, Computer Science Education, Programming, Feedback (Response)
Isabelle M. Lundin; Neal Lerner – Writing Center Journal, 2025
In this article, we describe writing center clients' "idea" of the writing center based on interviews with 26 writing center users and qualitative coding of interview transcripts. Participants' constructs of the writing center provide a lens to better understand how they perceive writing as an activity, the "writing culture" of…
Descriptors: Writing (Composition), Laboratories, Higher Education, College Students
Antonie Alm; Louise Ohashi – Technology in Language Teaching & Learning, 2024
This exploratory study investigated how 367 university language educators from 48 countries/regions responded to ChatGPT in the first 10 weeks after its release. It explored awareness, use, attitudes, and perceived impact through a survey collecting both quantitative and qualitative data. Most participants demonstrated moderate awareness, but…
Descriptors: Higher Education, Language Teachers, Artificial Intelligence, Intelligent Tutoring Systems
Sarah Novicoff; Susanna Loeb – Phi Delta Kappan, 2024
Since the COVID-19 pandemic, tutoring has gained popularity as a strategy to improve the academic achievement of struggling students. Intensive, relationship-based tutoring is a highly effective academic support for many students. A range of tutoring approaches are available to accelerate young students' literacy. Sarah Novicoff and Susanna Loeb…
Descriptors: Emergent Literacy, Tutoring, COVID-19, Pandemics
Briana Alford; Sarah Celt; Kylie Gottlieb; Aaron Mickulas-Mesco; Aedan Sennett; John Zilvinskis – Assessment Update, 2024
Tutoring can be an effective high-impact practice (HIP) to support diverse students across academic majors. Using 2017-2019 Community College Survey of Student Engagement (CCSSE) data, Zilvinskis (2021) found participating in tutoring was significantly related to the engagement measures of Academic Challenge, Support for Learners, and…
Descriptors: Peer Teaching, Tutoring, Learner Engagement, Educational Practices
Meghan Jacquelynn Malloy – ProQuest LLC, 2024
While systems of support are used in schools to assist students' academic growth, parents are not always informed of the support process or the academic goals set for their child (RTI Action Network, n.d.; Troisi, 2014; Weingarten et al., 2020). In the aftermath of the pandemic, students present a wide variety of academic needs (Lewis et al.,…
Descriptors: Parent Attitudes, Parent Participation, Advocacy, Literacy
Milos Ilic; Goran Kekovic; Vladimir Mikic; Katerina Mangaroska; Lazar Kopanja; Boban Vesin – IEEE Transactions on Learning Technologies, 2024
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI) methodologies over traditional statistical methods for predicting student performance in e-learning contexts. Notably, many researchers have adopted AI techniques without conducting a comprehensive investigation into the most appropriate and accurate…
Descriptors: Artificial Intelligence, Academic Achievement, Prediction, Programming
Gyuhun Jung; Markel Sanz Ausin; Tiffany Barnes; Min Chi – International Educational Data Mining Society, 2024
We presented two empirical studies to assess the efficacy of two Deep Reinforcement Learning (DRL) frameworks on two distinct Intelligent Tutoring Systems (ITSs) to exploring the impact of Worked Example (WE) and Problem Solving (PS) on student learning. The first study was conducted on a probability tutor where we applied a classic DRL to induce…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Artificial Intelligence, Teaching Methods
Galafassi, Cristiano; Galafassi, Fabiane Flores Penteado; Vicari, Rosa Maria; Reategui, Eliseo Berni – International Journal of Artificial Intelligence in Education, 2023
This work presents the intelligent tutoring system, EvoLogic, developed to assist students in problems of natural production in propositional logic. EvoLogic has been modeled as a multiagent system composed of three autonomous agents: interface, pedagogical and specialist agents. It supports pedagogical strategies inspired by the theory of…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Models, Teaching Methods
Ren, Ping; Dou, Zhongchen; Wang, Xici; Li, Simeng; Wang, Lidong – Asia-Pacific Education Researcher, 2023
Private supplementary tutoring (PT) has expanded significantly and attracted widespread public interest in China in recent years. It deserves systematic empirical research and reflection, given its crucial theoretical and practical implications. Based on the data of a large-scale survey and testing project, this study examined its effects on the…
Descriptors: Private Education, Supplementary Education, Tutoring, Mathematics Instruction
Jha, Sanjeev Kumar – Journal of Education, 2023
Private tuition (PT) is a common phenomenon in India. Today, it is a multi-billion U.S. dollar (USD) market and the third major contributor of household expenses in India. However, "the effect of PT on academic achievement of the students" is a subjective statement and is being questioned by its very outcomes. Literature reveals that PT…
Descriptors: Private Education, Tutoring, Foreign Countries, Supplementary Education
Lu, Yu; Wang, Deliang; Chen, Penghe; Meng, Qinggang; Yu, Shengquan – International Journal of Artificial Intelligence in Education, 2023
As a prominent aspect of modeling learners in the education domain, knowledge tracing attempts to model learner's cognitive process, and it has been studied for nearly 30 years. Driven by the rapid advancements in deep learning techniques, deep neural networks have been recently adopted for knowledge tracing and have exhibited unique advantages…
Descriptors: Learning Processes, Artificial Intelligence, Intelligent Tutoring Systems, Data Analysis
Harrison, Dorian – Urban Review: Issues and Ideas in Public Education, 2023
This article challenges and explores an after-school literacy tutor program in a semi-urban midwestern state. As after-school programs continue to be widely used across the United States, there is also continued efforts to engage students in continued academic learning after school. Hynes and Sanders (2011) studied the experiences of various…
Descriptors: After School Programs, Tutoring, Literacy Education, Racial Differences

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