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Rojano, Teresa; García-Campos, Montserrat – Teaching Mathematics and Its Applications, 2017
This article reports the outcomes of a study that seeks to investigate the role of feedback, by way of an intelligent support system in natural language, in parametrized modelling activities carried out by a group of tertiary education students. With such a system, it is possible to simultaneously display on a computer screen a dialogue window and…
Descriptors: Mathematics Instruction, Feedback (Response), Intelligent Tutoring Systems, College Students
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Bunting, Bryce; Williams, David – Mentoring & Tutoring: Partnership in Learning, 2017
While past researchers suggest undergraduate peer mentors (PMs) benefit from mentoring their peers, this experience is rarely associated with transformative learning. Using narrative analysis of authentic mentoring stories, we explored how particular types of mentoring experiences contribute to transformative learning for PMs of first-year…
Descriptors: Mentors, Undergraduate Students, Personal Narratives, Peer Teaching
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Sense, Florian; van der Velde, Maarten; van Rijn, Hedderik – Journal of Learning Analytics, 2021
Modern educational technology has the potential to support students to use their study time more effectively. Learning analytics can indicate relevant individual differences between learners, which adaptive learning systems can use to tailor the learning experience to individual learners. For fact learning, cognitive models of human memory are…
Descriptors: Predictor Variables, Undergraduate Students, Learning Analytics, Cognitive Psychology
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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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