Implementing flipped classroom that used an intelligent tutoring system into learning process
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It is not necessary that ITS would work in every context and facilitate every teacher.
“It is not necessary that ITS would work in every context and facilitate every teacher [7, 13, 46, 48].”
From Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021 (2022) · cites this paper as [46]
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Exploring Brazilian Teachers’ Perceptions and a priori Needs to Design Smart Classrooms
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Resilience in the Decision-Making of an Artificial Autonomous System on the Stock Market
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Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game
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Effectiveness of ICT-integrated pedagogy on pre-service teachers’ teaching competence in mathematics
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Prospective English Teachers' Digital Storytelling Experiences Through a Flipped Classroom Approach
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Smart Teaching Design Mode based on Machine Learning and its Effect Evaluation
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RetractedSocial interaction ties drive students participate in flipped civic education continuously
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Tecnologia Educacional na era da IA
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Profile of teachers’ integrated science curricula that support by intelligent tutoring systems
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RetractedAI in Emergency Remote Learning Environments
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Effects of flipped learning on the motivation of future violinists to perform chamber music
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GenAI as metacognitive scaffolding in flipped classrooms: Impact on learner outcomes
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E-Modul Based Flipped Classroom Learning Models in Vocational Education
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- Authors
- Mohamed, H., & Lamia, M.
- Affiliations
- Badji Mokhtar-Annaba University (DZ)
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 124
- Pages
- 62-76
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2803876593
- Cited by
- 159
- References
- 59
- Citations by year
- 2026: 7 · 2025: 21 · 2024: 16 · 2023: 16 · 2022: 30 · 2021: 29 · 2020: 16 · 2019: 17 · 2018: 7
- FWCI
- 55.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Topics
- Social Sciences › Education › Innovative Teaching Methods
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Education › Technology-Enhanced Education Studies
- Keywords
- flipped classroom, intelligent tutoring systems, Internet of Things, student motivation, continuance intention, perceived usefulness, self-efficacy, compatibility, perceived support, social ties
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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