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Towards data-driven mastery learning
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015We have developed a novel data-driven mastery learning system to improve learning in complex procedural problem solving domains. This new system was integrated into an existing logic proof tool, and assigned as homework in a deductive logic course. Student performance and dropout were compared across three systems: The Deep Thought logic tutor, Deep ...
Behrooz Mostafavi +2 more
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2021
Abstract This chapter investigates the effect of data-driven learning (DDL) by comparing the use of a new corpus tool, #LancsBox, with the use of a corpus-based collocations dictionary for academic collocation learning. Learners in the study improved their collocational knowledge by using #LancsBox, although not significantly.
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Abstract This chapter investigates the effect of data-driven learning (DDL) by comparing the use of a new corpus tool, #LancsBox, with the use of a corpus-based collocations dictionary for academic collocation learning. Learners in the study improved their collocational knowledge by using #LancsBox, although not significantly.
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Data Driven Geometry for Learning
2015High dimensional covariate information provides a detailed description of any individuals involved in a machine learning and classification problem. The inter-dependence patterns among these covariate vectors may be unknown to researchers. This fact is not well recognized in classic and modern machine learning literature; most model-based popular ...
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Tools for Data-Driven Learning
This entry examines the importance of corpus tools in data-driven learning (DDL) for language education, focusing on the methodological choices involved in their selection and design for pedagogical use. It emphasizes the need for tools that align with educational goals, offer user-friendly interfaces, and facilitate linguistic discovery.Crosthwaite, Peter, Anthony, Laurence
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An approach to data-driven learning
1991In the present paper a data-driven approach to learning is described. The approach is discussed in the framework of the Net-Clause Language (NCL), which is also outlined. NCL is aimed at building network models and describes distributed computational schemes. It also exhibits sound semantics as a data-driven deductive system.
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Data-driven Personalized Learning
Proceedings of the 2023 6th International Conference on Educational Technology Management, 2023Xue Guo, Xiangchun He, Zhuoyun Pei
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An Introduction To Data-Driven Learning
RELC Journal, 2002This paper studies the rationale for allowing Data-driven learning (DDL) more prominence in the EFL classroom. After covering some pertinent issues and developments in the field of pedagogic grammar (PG), the case for DDL will be discussed. The last part of this paper features uses of data-driven learning with Japanese university students, with special
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Data-Driven Indirect Iterative Learning Control
IEEE Transactions on CyberneticsIn this work, a data-driven indirect iterative learning control (DD-iILC) is presented for a repetitive nonlinear system by taking a proportional-integral-derivative (PID) feedback control in the inner loop. A linear parametric iterative tuning algorithm for the set-point is developed from an ideal nonlinear learning function that exists in theory by ...
Ronghu Chi +3 more
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