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On Teaching, Not Teaching, and Teaching The Sheik
Journal of Popular Romance Studies, 2020 When I began teaching courses on popular romance fiction in 2005, E. M. Hull’s The Sheik was an integral part of my syllabi—only to drop off, a few years later, and resurface in the contexts of my modern literature surveys.
Eric Murphy Selinger
doaj +2 more sources
Xiehe Yixue Zazhi, 2023 China Consortium of Elite Teaching Hospitals (the Consortium) is dedicated to exploring the reform and development of graduate medical education and promoting the training of high-level medical talents in line with international standards and on the ...
China Consortium of Elite Teaching Hospitals
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Journal of the National Council of Less Commonly Taught Languages, 2007 In this paper I argue that pragmatic ability must become part of what we teach in the classroom if we are to realize the goals of communicative competence for our students.
Teaching Speech Acts
doaj
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster [PDF]
arXiv, 2022 Artificial intelligence is to teach machines to take actions like humans. To achieve intelligent teaching, the machine learning community becomes to think about a promising topic named machine teaching where the teacher is to design the optimal (usually minimal) teaching set given a target model and a specific learner.
arxiv
Teaching scenarios and their role in the interdisciplinary approach. Case study: The Minkowskian Metric [PDF]
Proceedings of the First Congress of Greek Mathematicians, pp.
216-227. Athens: Hellenic Mathematical Society, 2022 One of the demands of modern teaching is the interdisciplinary approach of cognitive subjects and in particular that of the natural sciences, with simultaneous engagement of teachers and students. At the same time, teaching scenarios seem to be gaining ground in the methodology of teaching and learning Mathematics in school.
arxiv
Distribution Matching for Machine Teaching [PDF]
arXiv, 2021 Machine teaching is an inverse problem of machine learning that aims at steering the student learner towards its target hypothesis, in which the teacher has already known the student's learning parameters. Previous studies on machine teaching focused on balancing the teaching risk and cost to find those best teaching examples deriving the student model.
arxiv
Beyond teaching methods: highlighting physics faculty's strengths and agency [PDF]
Phys. Rev. Phys. Educ. Res. 16, 020105 (2020), 2019 Much work in physics education research (PER) characterizes faculty teaching practice in terms of whether faculty use specific named PER-based teaching methods, either with fidelity or with adaptation; we call this research paradigm the "teaching-method-centered paradigm." However, most faculty do not frame their teaching in terms of which particular ...
arxiv +1 more source
Surveying Instructors' Attitudes and Approaches to Teaching Quantum Mechanics [PDF]
Proceedings of the 2010 Physics Education Research Conference, AIP
Conference Proceedings, Melville, New York 1289, 297-300 (2010), 2016 Understanding instructor attitudes and approaches to teaching quantum mechanics can be helpful in developing research-based learning tools. Here we discuss the findings from a survey in which 13 instructors reflected on issues related to quantum mechanics teaching.
arxiv +1 more source
Xiehe Yixue Zazhi, 2022 With the continuous worldwide development of the 3rd generation of reformation in medical education, China is in urgent need to develop its own core competency framework for residency training that conforms to China's conditions.
China Consortium of Elite Teaching Hospitals for Residency Education
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Exploiting and Guiding User Interaction in Interactive Machine Teaching [PDF]
arXiv, 2022 Humans are talented with the ability to perform diverse interactions in the teaching process. However, when humans want to teach AI, existing interactive systems only allow humans to perform repetitive labeling, causing an unsatisfactory teaching experience. My Ph.D. research studies Interactive Machine Teaching (IMT), an emerging field of HCI research
arxiv