Zobrazeno 1 - 10
of 1 195
pro vyhledávání: '"data-driven learning"'
Autor:
Adrian Jan Zasina
Publikováno v:
Linguistica Pragensia, Vol 34, Iss 2, Pp 100-124 (2024)
This paper uses corpus data to analyse spoken expressions and discourse markers in Czech, applying these findings to corpus-based exercises for learners of Czech as a foreign language. The analytical section highlights the usefulness of parallel corp
Externí odkaz:
https://doaj.org/article/03bb402592b944309219982863e45979
Autor:
Rajab Esfandiari, Omid Allaf-Akbary
Publikováno v:
Language Testing in Asia, Vol 14, Iss 1, Pp 1-30 (2024)
Abstract The purpose of the current study was twofold: examining the efficacy of data-driven learning (DDL) (hands-on and hands-off approaches) in the realization of interactional metadiscourse markers (IMMs) among English as a foreign language (EFL)
Externí odkaz:
https://doaj.org/article/9cdb53070de24a9f9d13e355d6cf284f
Publikováno v:
Journal of Applied Research in Higher Education, 2023, Vol. 16, Issue 4, pp. 1188-1213.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JARHE-05-2023-0199
Autor:
Nina Hicks, Thomas Studer
Publikováno v:
Babylonia, Vol 2 (2024)
This contribution introduces the Swiss learner corpus SWIKO and provides examples on how this rich and near-authentic collection can be utilized in foreign language education, while also addressing some critical issues that corpus linguistic applicat
Externí odkaz:
https://doaj.org/article/74a572936cca4df28417773e071a23af
Autor:
Jun Park, Changhoon Lee
Publikováno v:
Earth and Space Science, Vol 11, Iss 8, Pp n/a-n/a (2024)
Abstract A data‐driven model for predicting the surface temperature using neural networks was proposed to alleviate the computational burden of numerical weather prediction (NWP). Our model, named TPTNet uses only 2 m temperature measured at the we
Externí odkaz:
https://doaj.org/article/7e95f16ddf4047bcbea3a7518541d1a6
Publikováno v:
Journal of Medical Education and Development, Vol 18, Iss 4, Pp 668-676 (2024)
Introduction: Data-driven learning has emerged as a powerful method in language teaching and has drastically changed the traditional methods of teaching and learning, especially in academic writing. So, the present study was conducted to investigate
Externí odkaz:
https://doaj.org/article/157f3e38de9b4d62889ebf5171e34886
Autor:
Yizhou Qian, Yifei Wu
Publikováno v:
IEEE Access, Vol 12, Pp 125170-125178 (2024)
Cryptic and ambiguous error messages provided by programming environments are crucial barriers to beginners when learning to program. This study designed a coding manual to explain common Python programming errors to students using a data-driven appr
Externí odkaz:
https://doaj.org/article/3ae25e57407845139b5d4ff21dacdf52
Autor:
Athena Abdi, Arash Ghasemi-Tabar
Publikováno v:
IEEE Access, Vol 12, Pp 90432-90441 (2024)
In this paper, an automated and real-time anomaly detection approach for sensors of autonomous vehicles called ARAD is presented. Automated vehicles gather environmental information through their diverse built-in sensors thus the correctness of this
Externí odkaz:
https://doaj.org/article/44a52a839da44fb592aab7a0edec0fbc
Publikováno v:
Frontiers in Nuclear Medicine, Vol 4 (2024)
IntroductionIn multiplexed positron emission tomography (mPET) imaging, physiological and pathological information from different radiotracers can be observed simultaneously in a single dynamic PET scan. The separation of mPET signals within a single
Externí odkaz:
https://doaj.org/article/660081c1c8ba4d63b9c85a18d29dc194
Autor:
Sharon Hartle
Publikováno v:
EuroAmerican Journal of Applied Linguistics and Languages, Vol 10, Iss 2, Pp 9-31 (2023)
Despite considerable discussion in the literature (Flowerdew & Peacock, 2001; Hyland, 1998; Tang, 2012) competent English academic writing is still a problem which needs to be solved. English for Academic Purposes (EAP) teaching often focuses on spec
Externí odkaz:
https://doaj.org/article/9edcd23b691744459d63fec13d552e37