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Sha, Lele; Rakovic, Mladen; Lin, Jionghao; Guan, Quanlong; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Chen, Guanliang – IEEE Transactions on Learning Technologies, 2023
In online courses, discussion forums play a key role in enhancing student interaction with peers and instructors. Due to large enrolment sizes, instructors often struggle to respond to students in a timely manner. To address this problem, both traditional machine learning (ML) (e.g., Random Forest) and deep learning (DL) approaches have been…
Descriptors: Computer Mediated Communication, Discussion Groups, Artificial Intelligence, Intelligent Tutoring Systems
Harrell, Evette; Wasburn-Moses, Leah – Mid-Western Educational Researcher, 2023
Professional literature presents evidence that foster care agencies, foster parents, and educators are unprepared to meet the distinctive educational needs of foster youth. Although there is a general lack of evidence on specific interventions developed for foster youth, some studies have addressed the impact of tutoring. This paper studies the…
Descriptors: Foster Care, Electronic Learning, Tutoring, Reading Instruction
Benmesbah, Ouissem; Lamia, Mahnane; Hafidi, Mohamed – Interactive Learning Environments, 2023
Adaptive learning has garnered researchers' interest. The main issue within this field is how to select appropriate learning objects (LOs) based on learners' requirements and context, and how to combine the selected LOs to form what is known as an adaptive learning path. Heuristic and metaheuristic approaches have achieved significant progress on…
Descriptors: Algorithms, Teaching Methods, Educational Innovation, Genetics
Yousaf, Yousra; Shoaib, Muhammad; Hassan, Muhammad Awais; Habiba, Ume – Interactive Learning Environments, 2023
Learning trend has been shifted from a conventional way to a digital way in the form of E-learning, but it faces a high dropout ratio. Lack of engagement is one of the primary factors reported for this issue as the same type of course content is presented to learners despite their different background, knowledge and learning styles. Different…
Descriptors: Intelligent Tutoring Systems, Cognitive Style, Learner Engagement, Academic Achievement
Johns, Carolyn A.; Burks, Linda C. – International Journal of Research in Undergraduate Mathematics Education, 2023
Most institutions of higher learning offer undergraduate mathematics tutoring, yet little is known regarding the work tutors do or the knowledge needed to enact that work. We explore the mathematical knowledge needed for the work of undergraduate peer drop-in mathematics tutoring. The data consists of transcripts from eight stimulated recall…
Descriptors: Mathematics Instruction, Tutors, Guidelines, Undergraduate Students
Johns, Carolyn; Mills, Melissa; Ryals, Megan – International Journal of Research in Undergraduate Mathematics Education, 2023
Despite the prevalence of undergraduate drop-in mathematics tutoring, little is known about the behaviors of this specific group of tutors. This study serves as a starting place for identifying their behaviors by addressing the research question: what observable behaviors do undergraduate drop-in mathematics tutors exhibit as they interact with…
Descriptors: Undergraduate Students, Tutors, Tutoring, Student Behavior
Richey, J. Elizabeth; McEldoon, Katherine; Tan, Elaine – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Theory Practice Relationship, Research and Development, Individualized Instruction, Intelligent Tutoring Systems
Pletcher, Bethanie C.; Nicol, Marilyn; Harper, Tracy; Hollenbaugh, Michelle; Johnson, Robin; Staples, Michele – Reading Psychology, 2023
The purpose of this mixed methods study was to determine the effects of a tutorial program on first-grade children's reading skills and their tutors' (also preservice teachers) knowledge of reading instruction. Participants consisted of a group of 30 first-grade children served in the program and a control group of 30 children. Literacy…
Descriptors: Tutorial Programs, Tutoring, Tutors, Elementary School Teachers
Zotov, Vladimir; Kramkowski, Eric – International Journal of Artificial Intelligence in Education, 2023
Intelligent tutoring systems (ITSs) may augment military training systems and mitigate existing limitations in training personnel and resources. A study was conducted to investigate the effectiveness of an embedded rifle marksmanship ITS for Moving Targets (MT-ITS). MT-ITS has two main components: (1) a Smart Sight System that provides a…
Descriptors: Intelligent Tutoring Systems, Military Personnel, Military Training, Program Effectiveness
Editorial Projects in Education, 2023
Implementing and scaling up targeted interventions can be challenging. This Spotlight will help readers learn about the most common interventions for academic recovery; dive into research on implementing effective learning recovery programs; investigate strategies for making intensive tutoring sustainable; discover how districts are tackling…
Descriptors: Program Implementation, Tutoring, Sustainability, Academic Achievement
Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – Grantee Submission, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Middle School Students, Middle School Mathematics, Reading Comprehension, Intelligent Tutoring Systems
Kobayashi, Keiichi – European Journal of Psychology of Education, 2022
Teaching other students in a face-to-face manner has been shown to effectively foster both one's own and their learning. This study experimentally investigated whether and how tutors and tutees academically benefit from three phases of face-to-face teaching: preparing-to-teach, initial-explanation, and interaction phases. Japanese undergraduates…
Descriptors: Peer Teaching, Tutoring, Tutors, Undergraduate Students
Levin, Nathan; Baker, Ryan S.; Nasiar, Nidhi; Fancsali, Stephen; Hutt, Stephen – International Educational Data Mining Society, 2022
Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Cheating
Barnard, Peter A. – International Journal of Educational Management, 2022
Purpose: This conceptual paper explores the relationship between school structure, organisation, and home-school collaboration. It argues that the traditional and dominant secondary school model based on same-age organisation acts in ways that constrain home-school collaboration while claiming to value it. The paper proposes an alternative model…
Descriptors: Secondary Schools, School Organization, Family School Relationship, Tutoring
Gupta, Achala – British Journal of Educational Studies, 2022
Private tutoring is a globally pervasive phenomenon. While scholars have explored the demand for and supply of private tutoring, how tutoring centres organise their services, and the role of temporality in this, remains underexplored. To address this gap in the scholarship, this article draws on ethnographic data, produced during 2014-15 in…
Descriptors: Tutoring, Private Education, Foreign Countries, Ethnography

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