Learning to Live Through Loss: Helping Children Understand Death by Carolyn S. Wilken

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EVLearn: extending the cityLearn framework with electric vehicle simulation by Tiago Fonseca, Luis Lino Ferreira, Bernardo Cabral, Ricardo Severino, Kingsley Nweye, Dipanjan Ghose, Zoltan Nagy

“…Results validated the extension of CityLearn, where the impact of these strategies is highlighted through a comparative simulation scenario.…”
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THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS by Nor Farahwahida Mohd Noor, Aslina Saad, Abu Bakar Ibrahim, Norashady Mohd Noor

“…However, previous research shows that students face difficulties in learning programming due to its abstract concepts. …”
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Student Engagement Dataset (SED): An Online Learning Activity Dataset by M. S. S. Kassim, Z. H. Azizul, A. A. H. Ahmad Fuaad

Subjects: “…Learning analytics…”
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Towards a cultural science of videogames: evolutionary social learning by Banks John, Potts Jason

“…We argue that a cultural science approach offers an analytic framework grounded in evolutionary externalism, social learning and emergent institutions. We develop this framework by proposing a multiple games model of social learning.…”
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KINDS OF QUESTIONS MAKING EFL STUDENTS LEARN: STUDENTS’ PERCEPTION by Mushoffan Prasetianto

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Learning to Live Through Loss: Understanding Men Who Grieve by Carolyn S. Wilken

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Courses design based on perspective human-centered learning design by Taopik Barkah, Asep Herry Hernawan, Angga Hadiapurwa

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Analysis effectiveness of online learning during the COVID-19 pandemic by Yudis Ghifari, Diva Aulia Amanda, Angga Hadiapurwa

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Evaluating the method reproducibility of deep learning models in biodiversity research by Waqas Ahmed, Vamsi Krishna Kommineni, Birgitta König-Ries, Jitendra Gaikwad, Luiz Gadelha, Sheeba Samuel

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SURVEY OF MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGING. ALGORITHMS AND TECHNOLOGIES by Marius Eremia Vlaicu POPA, Mihai CRUCERU, Bogdan DIACONU

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Machine Learning Applications to Dust Storms: A Meta-Analysis by Reem K. Alshammari, Omer Alrwais, Mehmet Sabih Aksoy

Subjects: “…Machine learning…”
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Revitalizing Physiology Education: Integrating Notability and Video-Based Learning by James Davis

“…Journal of Teaching and Learning with Technology…”
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The use of English as medium of instruction and students’ readiness to learn in English by Solomon Areaya Kassa, Daniel Tefera Abebe

“…The study uncovered teachers’ limited use of English as the medium of instruction and a lack of readiness among students to learn in English. …”
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Student and virtual learning environment interaction. Research of advanced attitudes by Lina Tankelevičienė

“…Implementing virtual learning environments is one of the ways to do so. …”
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Learning from the use of media in community-led design projects by Alexiou K., Alevizou K., Zamenopoulos T., deSousa S., Dredge L.

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INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH by Oleksandr V. Spivakovsky, Serhii A. Omelchuk, Vitaliy V. Kobets, Nataliia V. Valko, Daria S. Malchykova

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Advancements of Deep Learning Model-Based Rehabilitation Training System by Xu Chiyu

“…Traditional therapies for rehabilitation training in modern society are difficult to track patients dynamically, so this paper introduces a rehabilitation training evaluation system under deep learning modeling to help assess the effectiveness of rehabilitation training. …”
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Mind over matter: consistency monitoring and domain-specific learning by Igor Bascandziev, Adani Abutto, Caren M. Walker, Elizabeth Bonawitz

“…This finding highlights the importance of explicit consistency monitoring skills in the accumulation and expression of domain-specific understanding of the physical world, and it suggests future avenues for development and research of educational interventions that take into account the role of consistency monitoring skills in science learning.…”
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RL4CEP: reinforcement learning for updating CEP rules by Afef Mdhaffar, Ghassen Baklouti, Yassine Rebai, Mohamed Jmaiel, Bernd Freisleben

Subjects: “…Deep Reinforcement Learning…”
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