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Showing 1 to 15 of 36 results Save | Export
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Phung, Tung; Cambronero, José; Gulwani, Sumit; Kohn, Tobias; Majumdarm, Rupak; Singla, Adish; Soares, Gustavo – International Educational Data Mining Society, 2023
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…
Descriptors: Computational Linguistics, Feedback (Response), Programming, Computer Science Education
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Sonderegger, Stefan – International Association for Development of the Information Society, 2022
The use of social robots in education is a growing area of research and the potential future applications are various. However, the conversational models behind current social robots and chatbot systems often rely on rule-based and retrieval-based methods. This limits the social robot to predefined responses and topics, thus hindering it from…
Descriptors: Robotics, Teaching Methods, Learning Processes, Models
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Rebecca Butler; Orly Buchbinder – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Learning Assistants (LAs) are undergraduate peer-tutors who, having successfully passed a particular course, return to assist with teaching that course. Through their work across many STEM courses, LAs have been shown to have positive effects on several student outcomes, but little is known about why LAs' presence in classrooms is positively…
Descriptors: Calculus, Mathematics Instruction, Discourse Analysis, Undergraduate Students
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Chen, Guanliang; Ferreira, Rafael; Lang, David; Gasevic, Dragan – International Educational Data Mining Society, 2019
For the development of successful human-agent dialogue-based tutoring systems, it is essential to understand what makes a human-human tutorial dialogue successful. While there has been much research on dialogue-based intelligent tutoring systems, there have been comparatively fewer studies on analyzing large-scale datasets of human-human online…
Descriptors: Student Attitudes, Intelligent Tutoring Systems, Computer Software, Dialogs (Language)
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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
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Burkhard, Michael; Seufert, Sabine; Cetto, Matthias; Handschuh, Siegfried – International Association for Development of the Information Society, 2022
Educational chatbots promise many benefits for teaching and learning. Although chatbot use cases in this research field are rapidly growing, most studies focus on individual users rather than on collaborative group settings. To address this issue, this paper investigates how chatbot-mediated learning can be designed to foster middle school…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Web Based Instruction
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Michael Madaio; Justine Cassell; Amy Ogan – Grantee Submission, 2017
During collaborative learning, computer-supported or otherwise, students balance task-oriented goals with the interpersonal goals of relationship-building; these goals may conflict, negatively impacting learning. In peer tutoring, for instance, tutors may avoid providing feedback to their partners to avoid the face-threat to their tutee. In this…
Descriptors: Peer Teaching, Tutoring, Tutors, Teaching Methods
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Fissore, Cecilia; Marchisio, Marina; Rabellino, Sergio – International Association for Development of the Information Society, 2020
The technologies and online supports that can offer students study opportunities have increased a lot in recent years, but often students do not use computers or mobile devices in school and, in general, for educational purposes. The Action of the University of Turin, within the "Ragazzi Connessi" project, proposes strategies for school…
Descriptors: Mathematics Instruction, Teaching Methods, Secondary School Students, Foreign Countries
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Mbali, Msizi; James, Angela – International Baltic Symposium on Science and Technology Education, 2019
Student tutoring in innovative teaching and learning practices promotes personal and professional learning. Experiential learning theory underpins this research. An interpretive, qualitative approach and narrative strategy with purposive sampling was used. The tutor narrative accounts of tutoring the Research and Service-Learning module in…
Descriptors: Tutoring, Instructional Innovation, Teaching Methods, Service Learning
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Núñez, Cristina; Guinea, Ana; Callau, Sara; Bengoa, Christophe; Basco, Josep; Gavaldà, Jordi – Journal of Technology and Science Education, 2017
The Bachelor's Degree Final Project (BDFP) of our school aims to develop a real constructive project, enhance cooperative teamwork and increase productivity of students. We present a real case study, related with engineering and scientific innovation results obtained by BDFP, which has led to an innovative scientific study presented at the 7th…
Descriptors: Bachelors Degrees, Teamwork, Case Studies, Teaching Methods
Wright, Vince – Mathematics Education Research Group of Australasia, 2017
Talk moves simulations were used in tutorials for a mathematics education unit. Pre-service teachers (PSTs) and tutors were surveyed about their perceptions of the purposes, benefits, and drawbacks of the simulations. There was strong support from both groups for the benefits of talk moves in developing PSTs' ability to manage discussions, ask…
Descriptors: Preservice Teachers, Tutors, Student Attitudes, Teaching Methods
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DeJarnette, Anna F.; Hord, Casey; Marita, Samantha – North American Chapter of the International Group for the Psychology of Mathematics Education, 2016
We applied techniques from systemic functional linguistics to examine how a student and a tutor construed meaning related to linear functions during a 1-1 tutoring session. The student and tutor varied in how they discussed rates of change. This difference highlights that there are multiple correct ways to use this term in algebra, although small…
Descriptors: Tutoring, Mathematics Instruction, Algebra, Tutors
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Elizabeth Levin; Andrew Rixon; Maree Keating – Student Success, 2019
This paper reflects on how a 'sense of belonging' is cultivated for both the teaching team and the students in a large, core first year Business unit. In the Innovative Business Practice (IBP) unit students develop their personal brand and professional identity through strength-based science, and also pitch creative solutions to social problems.…
Descriptors: Teaching Methods, Sense of Belonging, Core Curriculum, Business Schools
Tumenayu, Ogar Ofut; Shabalina, Olga; Kamaev, Valeriy; Davtyan, Alexander – International Association for Development of the Information Society, 2014
Recent research has shown that educational games positively motivate learning. However, there is a little evidence that they can trigger learning to a large extent if the game-play is supported by additional activities. We aim to support educational games development with an Agent-Based Technology (ABT) by using intelligent pedagogical agents that…
Descriptors: Educational Technology, Educational Games, Teaching Methods, Cooperative Learning
Xu, Yanbo; Mostow, Jack – International Educational Data Mining Society, 2012
A long-standing challenge for knowledge tracing is how to update estimates of multiple subskills that underlie a single observable step. We characterize approaches to this problem by how they model knowledge tracing, fit its parameters, predict performance, and update subskill estimates. Previous methods allocated blame or credit among subskills…
Descriptors: Teaching Methods, Comparative Analysis, Prediction, Mathematics
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