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Mobile and contextual learning [PDF]
Research in Learning Technology, 2009 Is mobile learning just a part of everyday learning? This is a relevant question in an age when most people throughout the world now have access to mobile phones and mobility is increasingly taken for granted.
Agnes Kukulska-Hulme, Mike Sharples
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METHODS FOR ORGANIZATION OF CONTEXTUAL TRAINING OF FUTURE GEOGRAPHY TEACHERS [PDF]
Вісник Університету імені Альфреда Нобеля. Серія Педагогіка і психология, 2023 The study examines the issues of improving future geography teachers’ professional training through contextual learning; it emphasizes the practicality of conceptual changes in terms of the transition from post-industrial to information society and ...
Karpenko Tetiana +2 more
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Contextualized Machine Learning
CoRR, 2023 We examine Contextualized Machine Learning (ML), a paradigm for learning heterogeneous and context-dependent effects. Contextualized ML estimates heterogeneous functions by applying deep learning to the meta-relationship between contextual information and context-specific parametric models.
Benjamin J. Lengerich +4 more
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Contextual Bandits with Cross-Learning
Mathematics of Operations Research, 2023 In the classic contextual bandits problem, in each round t, a learner observes some context c, chooses some action i to perform, and receives some reward [Formula: see text]. We consider the variant of this problem in which in addition to receiving the reward [Formula: see text], the learner also learns the values of [Formula: see text] for some other
Santiago R. Balseiro +4 more
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Effect of Blended Learning in high school Japanese Language Learning outcomes
Jurnal Teknologi Pendidikan, 2022 This study aimed to determine the effect of blended learning-based contextual learning and independent learning on Japanese language learning outcomes of students at SMA Negeri 1 Setu.
Linda Maryati +2 more
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KONTEKSTUALISASI PEMBELAJARAN SEJARAH MELALUI PERISTIWA BENCANA
Sejarah dan Budaya: Jurnal Sejarah, Budaya, dan Pengajarannya, 2022 The challenges of learning history are increasingly diverse. One of the issues that often get repeated is regarding how irrelevant and out-of-context the history subjects are for students.
Dinar Rizky Listyaputri +1 more
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Learning Contextual-Variability Models [PDF]
IEEE Software, 2017 Modeling how contextual factors relate to a software system's configuration space is usually a manual, error-prone task that depends highly on expert knowledge. Machine-learning techniques can automatically predict the acceptable software configurations for a given context.
Temple, Paul +3 more
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Inverse reinforcement learning in contextual MDPs [PDF]
Machine Learning, 2021 AbstractWe consider the task of Inverse Reinforcement Learning in Contextual Markov Decision Processes (MDPs). In this setting, contexts, which define the reward and transition kernel, are sampled from a distribution. In addition, although the reward is a function of the context, it is not provided to the agent.
Stav Belogolovsky +4 more
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Frontiers in Psychology, 2021 In the contextual cueing task, visual search is faster for targets embedded in invariant displays compared to targets found in variant displays. However, it has been repeatedly shown that participants do not learn repeated contexts when these are ...
Xuelian Zang +7 more
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Manazhim, 2020 This research is a Classroom Action Research with 2 (two) cycles which aims to improve students' creative thinking abilities through contextual approaches in mixed count operations material with qualitative approach.
Baiq Yuni Wahyuningsih
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