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Kim, Taeyoung; Chu, Sung Kyung; Byeon, So Yeon; Yoon, Hae Gyung; Kim, Yongha; Jo, Hyunmyung – International Journal of Higher Education, 2021
The rapid spread of online classes in higher education during and after the COVID-19 pandemic has created a growing need for research that explores the issue of student disengagement in online courses. In this regard, the present study suggests a Peer-Tutoring Online Discussion (POD) class model to increase student engagement in online courses…
Descriptors: Peer Teaching, Tutoring, Discussion (Teaching Technique), Computer Mediated Communication
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Bush, Jeffrey B. – British Journal of Educational Technology, 2021
Rational number and fractions concepts are inherently difficult; and lack of mastery often holds students back from success in subsequent mathematics courses. This paper describes design characteristics of a software based, adaptive, rational number tutor with virtual manipulatives, realistic contexts, and procedural feedback. Then, the paper…
Descriptors: Manipulative Materials, Intervention, Concept Formation, Fractions
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Özdere, Mustafa – Journal of Education and Learning, 2021
This article explores the process, reasons, and determinants of private tutoring as perceived by the high school students in Sanliurfa, Turkey. This is a survey study and the quantitative data for the study was collected with a questionnaire from 1329 high school students during the spring semester in 2019. According to the findings, almost half…
Descriptors: Educational Demand, Private Education, Tutoring, High School Students
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Davies, Christine – Journal of University Teaching and Learning Practice, 2021
The Doctorate in Professional Practice (DProf) programme at the University of Wales Trinity Saint David (UWTSD) provides a means for practitioners in a range of professions to undertake research, and achieve doctoral status, whilst maintaining their professional roles. The programme is generic, covering a wide range of professional backgrounds,…
Descriptors: Electronic Learning, Seminars, Statistics Education, Statistical Analysis
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Hilliam, Rachel; Vines, Karen – Journal of University Teaching and Learning Practice, 2021
In 2019, The Open University celebrated its 50th anniversary. For most of its fifty years it has been delivering statistics education to both specialists and non-specialists, simultaneously and at scale. A single module must deliver statistics teaching across multiple qualifications in many different disciplines which means it is not possible to…
Descriptors: Statistics Education, Delivery Systems, Audiences, Interdisciplinary Approach
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Bozzi, Matteo; Raffaghelli, Juliana E.; Zani, Maurizio – Education Sciences, 2021
Over the last decade, policy makers have urged universities to innovate their teaching methodologies. Although educational research has shown that active methods lead to improvements in learners' performance more than traditional lectures in small classes, some factors impede active methods from spreading in large size classes. In this paper we…
Descriptors: Foreign Countries, College Students, Engineering Education, Science Instruction
Chen, Su; Fang, Ying; Shi, Genghu; Sabatini, John; Greenberg, Daphne; Frijters, Jan; Graesser, Arthur C. – Grantee Submission, 2021
This paper describes a new automated disengagement tracking system (DTS) that detects learners' maladaptive behaviors, e.g. mind-wandering and impetuous responding, in an intelligent tutoring system (ITS), called AutoTutor. AutoTutor is a conversation-based intelligent tutoring system designed to help adult literacy learners improve their reading…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Attention, Adult Literacy
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Barollet, Théo; Bouchez Tichadou, Florent; Rastello, Fabrice – International Educational Data Mining Society, 2021
In Intelligent Tutoring Systems (ITS), methods to choose the next exercise for a student are inspired from generic recommender systems, used, for instance, in online shopping or multimedia recommendation. As such, collaborative filtering, especially matrix factorization, is often included as a part of recommendation algorithms in ITS. One notable…
Descriptors: Intelligent Tutoring Systems, Prediction, Internet, Purchasing
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Chakraborty, Nilanjana; Roy, Samrat; Leite, Walter L.; Faradonbeh, Mohamad Kazem Shirani; Michailidis, George – International Educational Data Mining Society, 2021
This study examines data from a field experiment investigating the effects of a personalized recommendation algorithm that proposes to students which videos to watch next, after they complete mini-assessments for algebra that available on the Math Nation intelligent virtual learning environment (IVLE). The end users of Math Nation are students…
Descriptors: Individualized Instruction, Instructional Effectiveness, Intelligent Tutoring Systems, Virtual Classrooms
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Jost, Patrick – International Association for Development of the Information Society, 2021
Educators are increasingly confronted with technology-driven learning scenarios. Even before the push from the current pandemic, digital learning apps became an integrated didactic tool. Advanced computing can thereby support the digital content creation for educational courses offered on mobile platforms. Computed media content such as natural…
Descriptors: Artificial Intelligence, Computer Software, Nonverbal Communication, Decision Making
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…
Descriptors: Phrase Structure, Networks, Semantics, Feedback (Response)
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Nickel, Jodi; Chadwick, Joy – Mentoring & Tutoring: Partnership in Learning, 2022
As part of a literacy development course and a subsequent language arts methods course, teacher candidates (TCs) participated in a twenty-week community service learning partnership tutoring elementary students in reading. Through TCs' case study course assignments, survey data, and a focus group interview, the researchers analyzed TCs' growth…
Descriptors: Tutoring, Reading Teachers, Teacher Competencies, Preservice Teachers
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Kochem, Tim – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2022
In recent years, research into the learning of pronunciation pedagogy and its effects on a teacher's capacity to provide effective pronunciation instruction has been steadily growing. Nevertheless, a prominent puzzle piece still remains uncovered: the direct effect that coursework has on a trainee's ability to deliver effective instruction. To…
Descriptors: Pronunciation Instruction, Capstone Experiences, Teaching Methods, English (Second Language)
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Chiaráin, Neasa Ní – Research-publishing.net, 2022
"An Corpas Cliste" ('Clever Corpus') is an Irish language learner corpus. The corpus data comes from a purpose-built intelligent Computer Assisted Language Learning (iCALL) platform called "An Scéalaí" ('the Storyteller') and comprises both audio and text, produced by second and third level learners of Irish. Metadata (e.g. L1,…
Descriptors: Computational Linguistics, Irish, Computer Assisted Instruction, Second Language Learning
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Cindy M. Morse – Teaching and Learning Excellence through Scholarship, 2022
High attrition rates in associate degree nursing (ADN) programs contribute significantly to a nursing shortage in the United States that is expected to worsen. Nursing students find the learning environment stressful, intimidating, and overwhelming, leading to discouragement in the first year of their nursing education. Research is needed to…
Descriptors: Student Attrition, Nursing Education, Associate Degrees, Nursing Students
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