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Afzal, Shazia; Dempsey, Bryan; D'Helon, Cassius; Mukhi, Nirmal; Pribic, Milena; Sickler, Aaron; Strong, Peggy; Vanchiswar, Mira; Wilde, Lorin – Childhood Education, 2019
As artificially intelligent systems make their foray into the day-to-day educational experiences of students, we need to pay careful attention to the relationship between the system and the student. In this article, the authors discuss designing the personality of a virtual tutoring system called IBM Watson Tutor. The AI personality is key to the…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Design, Learner Engagement
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Ní Chiaráin, Neasa; Ní Chasaide, Ailbhe – Research-publishing.net, 2019
A key benefit in intelligent Computer Assisted Language Learning (iCALL) is that it allows complex linguistic phenomena to be incorporated into digital learning platforms, either for the autonomous learner or to complement classroom teaching. The present paper describes (1) complex phonological/ morphophonemic alternations of Irish, which are…
Descriptors: Computer Assisted Instruction, Educational Technology, Technology Uses in Education, Second Language Learning
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Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – International Association for Development of the Information Society, 2019
Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…
Descriptors: Learner Engagement, Outcomes of Education, Learning Processes, Learning Analytics
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Simó-Gil, Núria; Tort-Bardolet, Antoni; Barniol, Montse; Pietx, Teresa – Power and Education, 2018
This article presents, first, the theoretical framework developed in a three-year research project that was designed to enable the authors to analyse the characteristics and quality of democracy in 10 centres (five primary schools for children aged from 3 to 12 and five secondary schools for children aged from 12 to 16). Second, students and…
Descriptors: Democracy, Citizenship Education, Secondary School Students, Foreign Countries
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Bruck, Laura B.; Bruck, Aaron D. – Journal of College Science Teaching, 2018
Recruitment and retention in the sciences is both difficult and crucial, especially in the community college setting. In this study, the resources used by General Chemistry I students at two different public, predominantly two-year colleges in two states were studied via surveys for a semester. Data were analyzed with respect to student attitudes…
Descriptors: Study Habits, Chemistry, Community Colleges, Two Year College Students
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Russo, James Anthony – McGill Journal of Education, 2018
This essay explores how elementary school teachers can support students in becoming effective peer tutors. Drawing on the author's personal experience as an elementary educator and researcher, it discusses how cognitive load theory can be used to generate a framework to support practicing teachers in implementing peer tutoring in their own…
Descriptors: Peer Teaching, Tutoring, Elementary School Students, Theory Practice Relationship
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Ripamonti, Silvio; Galuppo, Laura; Bruno, Andreina; Ivaldi, Silvia; Scaratti, Giuseppe – Teaching in Higher Education, 2018
Critical reflexivity has been acknowledged as fundamental in higher education. For facing complex situations in turbulent environments, students nowadays need not only to be taught technical knowledge, but also to be helped develop "relevant" learning for their future professional practice. In recent years, scholars have concentrated on…
Descriptors: Internship Programs, Critical Thinking, Tutoring, Higher Education
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Aslan, Sinem; Alyuz, Nese; Okur, Eda; Mete, Sinem Emine; Oktay, Ece; Esme, Asli Arslan – Educational Technology Research and Development, 2018
The goal of this research is to investigate the effect of emotion-aware interventions on students' behavioral and emotional states. To this end, we collected data from 12 students in the 9th grade in a high school in Turkey. The data collection took place in two sessions of an English Course. While the students were reading articles and solving…
Descriptors: Foreign Countries, High School Students, Grade 9, Psychological Patterns
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Rylands, Leanne Jill; Shearman, Don – International Journal of Mathematical Education in Science and Technology, 2018
This paper considers the effects of both free optional mathematics learning support and engagement on the mathematics performance in a foundation mathematics subject of a cohort of engineering students entering university with poor mathematical skills. New engineering students were directed to either a foundation or standard mathematics subject…
Descriptors: Engineering Education, Technology Education, Mathematics Instruction, College Freshmen
Shi, Genghu; Lippert, Anne M.; Shubeck, Keith; Fang, Ying; Chen, Su; Pavlik, Philip, Jr.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2018
Reading comprehension is often assessed by having students read passages and administering a test that assesses their understanding of the text. Shorter assessments may fail to give a full picture of comprehension ability while more thorough ones can be time consuming and costly. This study used data from a conversational intelligent tutoring…
Descriptors: Reading Comprehension, Intelligent Tutoring Systems, Adults, Accuracy
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Wu, LiQin; Wu, Yong; Zhang, XiangYang – English Language Teaching, 2021
Although the study of artificial intelligence (AI) used in language teaching and learning is increasingly prevailing, research on language two (L2) learner cognitive psychological factors about AI writing corrective feedback (WCF) is scarce. This paper explores L2 learner cognitive psychology of pigai, an AI evaluating system for English writings…
Descriptors: Artificial Intelligence, Error Correction, Feedback (Response), Second Language Instruction
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Feng, Shihui; Law, Nancy – International Journal of Artificial Intelligence in Education, 2021
In this study, we review 1830 research articles on artificial intelligence in education (AIED), with the aim of providing a holistic picture of the knowledge evolution in this interdisciplinary research field from 2010 to 2019. A novel three-step approach in the analysis of the keyword co-occurrence networks (KCN) is proposed to identify the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Intelligent Tutoring Systems
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Matthews, Sarah D.; Proctor, Michael D. – Educational Technology & Society, 2021
The COVID-19 pandemic hit the United States in 2020 resulting in a public health caseload surge precipitating deployment of military and federal medical units, states issuing emergency orders to engage retired medical professionals, and novice or inadequately trained healthcare workers thrust into service to meet the pressing need. The novelty and…
Descriptors: Public Health, Health Personnel, Volunteers, Training Methods
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Štastný, Vít; Greger, David; Soukup, Petr – School Effectiveness and School Improvement, 2021
In many countries, out-of-school tutoring in academic subjects has become a widespread phenomenon that affects high proportions of students. Scholarly literature has considered various determinants of participation in such tutoring, but school quality has as yet been rather neglected. The aim of the study is to explore the relationship between the…
Descriptors: Instructional Effectiveness, Science Instruction, School Effectiveness, Correlation
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Heyward, Georgia; Gill, Sean – Center on Reinventing Public Education, 2021
Many students started the 2020 school year a little behind academically, but students with disabilities have been especially impacted by the pandemic. With the added benefit of federal stimulus funds, we wanted to know: What can schools to do support students with disabilities as they start planning for next year? And what, if anything, can…
Descriptors: Students with Disabilities, Charter Schools, COVID-19, Pandemics
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