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Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2021
Student modeling is useful in educational research and technology development due to a capability to estimate latent student attributes. Widely used approaches, such as the Additive Factors Model (AFM), have shown satisfactory results, but they can only handle binary outcomes, which may yield potential information loss. In this work, we propose a…
Descriptors: Models, Student Characteristics, Feedback (Response), Error Correction
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Regula Windlinger; Laura Züger – International Journal for Research on Extended Education, 2021
Extended education services are expanding in Switzerland. Their quality depends on the working conditions and well-being of staff. This study examined the relationships between job demands, job resources and well-being using the job demands-resources (JD-R) model. 655 staff members from 113 extended education services from three Swiss cantons…
Descriptors: Foreign Countries, Well Being, Work Environment, Labor Demands
Editorial Projects in Education, 2024
By nurturing early literacy skills, we invest in young minds, building a strong foundation for lifelong learning, communication, and success. This Spotlight will help you evaluate research on early literacy gains from tutoring; analyze what experts say makes a strong early reading law; learn how reading on screens can worsen comprehension for…
Descriptors: Emergent Literacy, Beginning Reading, Reading Skills, Tutoring
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Gang Yang; Wei Zhou; Huimin Zhou; Jiawen Li; Xiaodong Chen; Yun-Fang Tu – Education and Information Technologies, 2024
Second language (L2) writing plays an important role in improving the learners' language skills of English as a Foreign Language (EFL) in terms of language expression and linguistic thinking. Therefore, improving writing skills is still a focus area for EFL learners. To enhance EFL learners' writing ability and optimize their writing quality, an…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Writing Skills
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Xiaxia Cao; Yao Zhao; Xiang Li – Education and Information Technologies, 2024
Various studies have been conducted on applying intelligent recognition technology, especially speech recognition technology to improve English learning ability, mostly listening and speaking. However, few studies have touched on how image-to-text recognition technology can be used for writing. The present research was conducted to fill this gap…
Descriptors: Captions, Second Language Learning, Second Language Instruction, Teaching Methods
Carly D. Robinson; Cynthia Pollard; Sarah Novicoff; Sara White; Susanna Loeb – Annenberg Institute for School Reform at Brown University, 2024
In-person tutoring has been shown to improve academic achievement. Though less well-researched, virtual tutoring has also shown a positive effect on achievement but has only been studied in grade five or above. We present findings from the first randomized controlled trial of virtual tutoring for young children (grades K-2). Students were assigned…
Descriptors: Tutoring, Reading Instruction, Benchmarking, Reading Tests
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Selina McCoy; Delma Byrne – British Journal of Educational Studies, 2024
This paper assesses the role of shadow education (SE), i.e., organised learning activities outside formal schooling, in the lives of secondary school students of different social backgrounds and in different school settings, in a high-stakes context. It draws on multilevel analysis of longitudinal Growing Up in Ireland data, alongside narratives…
Descriptors: Foreign Countries, Tutoring, Private Education, Supplementary Education
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Claudia Lizette Garay-Rondero; Alvaro Castillo-Paz; Carlos Gijón-Rivera; Gerardo Domínguez-Ramírez; Conrado Rosales-Torres; Alberto Oliart-Ros – Cogent Education, 2024
Higher Education faces challenges in providing learning experiences and cultivating competencies in our modern environment. Academic discourse centres on tutoring automation, a complicated educational dilemma in the age of Machine Learning, Deep Learning, and Artificial Intelligence. Establishing a structured technique for real competency…
Descriptors: Competency Based Education, Performance Based Assessment, Evaluation Methods, Undergraduate Students
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Hyangeun Ji; Insook Han; Soyeon Park – Language Learning & Technology, 2024
This study investigated the usage of conversational artificial intelligence (CAI) to support learners in foreign language classrooms. It employed Google Assistant and focused on the interactions between the teacher, learners, and CAI, as well as the teacher's collaboration with CAI. Using social network and content analyses of two 50-minute…
Descriptors: Second Language Learning, Artificial Intelligence, Computer Mediated Communication, Natural Language Processing
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Nakhon Kitjaroonchai; Suzanna Maywald – Journal of English Teaching, 2024
This study investigated the effects of a reading assistant software on the fluency and accuracy of speech production among EFL university students, employing a one-group pretest-posttest design. The participants included 50 Thai undergraduate English majors in their first and second years. Data were analyzed using paired samples t-tests to measure…
Descriptors: Reading Instruction, Computer Software, Accuracy, Oral Language
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Yasemin Copur-Gencturk; Jingxian Li; Sebnem Atabas – American Educational Research Journal, 2024
Scalable and accessible professional development programs have the potential to address the opportunity gap many teachers experience. Yet many asynchronous online programs lack interaction with and timely feedback to teachers. We addressed this problem by developing a virtual, interactive program that uses intelligent tutoring systems to provide…
Descriptors: Artificial Intelligence, Faculty Development, Individualized Instruction, Interaction
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Li, Xiao; Xu, Hanchen; Zhang, Jinming; Chang, Hua-hua – Journal of Educational and Behavioral Statistics, 2023
The adaptive learning problem concerns how to create an individualized learning plan (also referred to as a learning policy) that chooses the most appropriate learning materials based on a learner's latent traits. In this article, we study an important yet less-addressed adaptive learning problem--one that assumes continuous latent traits.…
Descriptors: Learning Processes, Models, Algorithms, Individualized Instruction
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Serra, Ramiro; Martinez, Cecilia; Vertegaal, Cornelis J. C.; Sundaramoorthy, Prem; Bentum, Mark J. – IEEE Transactions on Education, 2023
Contribution: This article describes how a peer learning strategy called student-led tutorials (SLTs) can improve student performance in an electromagnetism course (EM). This study provides empirical evidence on how promoting student active participation in collaborative problem-solving activities improves performance rates. Background: In 2019,…
Descriptors: College Students, Difficulty Level, Advanced Courses, Tutorial Programs
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Wang, Tingting; Zheng, Juan; Tan, Chengyi; Lajoie, Susanne P. – Journal of Computer Assisted Learning, 2023
Background: Computer-based scaffolding has been intensively used to facilitate students' self-regulated learning (SRL). However, most previous studies investigated how computer-based scaffoldings affected the cognitive aspect of SRL, such as knowledge gains and understanding levels. In contrast, more evidence is needed to examine the effects of…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Computer Assisted Instruction, Intelligent Tutoring Systems
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Lu, Jijian; Tao, Yan; Xu, Jinghao; Stephens, Max – Interactive Learning Environments, 2023
This study is the extension of our previous visualizing study on the commognition processes in computer-supported one-to-one tutoring. With the help of the scale of commognitive responsibility score, we found that the main triggers of the commognition process shift are the positive transfer of knowledge and cognitive conflict. On the basis of…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Tutoring, Artificial Intelligence
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