Results 1 to 10 of about 473,603 (118)
A data driven learning approach for the assessment of data quality [PDF]
BMC Medical Informatics and Decision Making, 2021 Background Data quality assessment is important but complex and task dependent. Identifying suitable measurement methods and reference ranges for assessing their results is challenging.
Erik Tute +2 more
doaj +2 more sources
Applying data-driven learning in self-translation of academic discourse: A case study of a Chinese medical student [PDF]
Frontiers in Psychology, 2023 This article reports on an experiment on the use of data-driven learning (DDL) in the revision of self-translation by a Chinese medical student.
Ying Lyu, Ying Lyu, Ziman Han
doaj +2 more sources
Literature and Data-driven Learning
Current Swedish Archaeology, 2023 This article aims to examine how and why we can use digital storytelling (DST) to teach literature in the upper secondary classroom, and makes use of Mark Haddon’s complex, multimodal novel The Curious Incident of the Dog in the Night-Time (2004) as an ...
Ida Margrethe Rask Krogh, Ruben Moi
doaj +1 more source
Personas for the translational workforce
Journal of Clinical and Translational Science, 2020 Twelve evidence-based profiles of roles across the translational workforce and two patients were made available through clinical and translational science (CTS) Personas, a project of the Clinical and Translational Science Awards (CTSA) Program National ...
Sara Gonzales +11 more
doaj +1 more source
Machine Learning Descriptors for Data‐Driven Catalysis Study
Advanced Science, 2023 Traditional trial‐and‐error experiments and theoretical simulations have difficulty optimizing catalytic processes and developing new, better‐performing catalysts.
Li‐Hui Mou +4 more
doaj +1 more source
IEEE Access, 2021 This paper deals with the problem of signal source traversal based on a quadrotor in an environments with obstacles by proposing a data-driven receding horizon control approach.
Chen Hu, Ke Yin, Qiang Lu
doaj +1 more source
Data-Driven Supervised Learning for Life Science Data
Frontiers in Applied Mathematics and Statistics, 2020 Life science data are often encoded in a non-standard way by means of alpha-numeric sequences, graph representations, numerical vectors of variable length, or other formats. Domain-specific or data-driven similarity measures like alignment functions have
Maximilian Münch +7 more
doaj +1 more source
Reserved for Research? Normalising Corpus Use for School Teachers
Current Swedish Archaeology, 2023 There has been much discussion about the persistent gap between research and practice in the use of corpora in the classroom (Frankenberg-Garcia 2012; Chambers 2019 among others), despite strong evidence of its benefits (Boulton 2017).
Rachel Allan
doaj +1 more source
Using Very Large Corpora to Teach Modern English (1500–1945)
Current Swedish Archaeology, 2023 This article describes the incorporation of a corpus-based research assignment in a 7.5-credit Master’s-level module on Early and Late Modern English. The design of the module as a whole as well as of the research assignment is discussed, and it is shown
Erik Smitterberg
doaj +1 more source
Data-driven Learning: Aiming at the Bigger Picture
Current Swedish Archaeology, 2023 There has been increasing interest in corpus-based teaching of rhetorical features in academic writing at the discourse level (Chen and Flowerdew 2018; Dong and Lu 2020; Moreno and Swales 2018).
Tatyana Karpenko-Seccombe
doaj +1 more source