Titlebook: Smart Education and e-Learning 2024; Proceedings of the 1 Vladimir L. Uskov,Robert J. Howlett,Lakhmi C. Jain Conference proceedings 2024 Th

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Handedness

Margarita Stankova,Georgi Tuparov,Polina Mihovacerning spatial planning at the local level and the related instruments. The context of spatial planning at regional and national levels has also been taken into account. Issues related to the role of the courts in spatial planning and environmental protection in spatial planning play a separate rol

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Lyudmila V. Glukhova,Olga A. Filippova,Svetlana D. Syrotyuk,Svetlana A. Gudkova,Yuliya S. MunirovaEast Asian region and each country’s situation. Such progress would also serve as (1) the basis for regional cooperation in spatial development planning, (2) a visual indicator showing balanced development in each region, (3) educational material to enhance the Asian identity, and (4) an assessment

新义

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ACRID

Smart Pedagogy: A Bibliometric Analysisducational Technology”, and “Smart Assessment”. Limit-To-Language parameter was assigned as “English”. A total of 2382 documents, related to the smart pedagogy area were identified in Scopus database and analyzed for this project. The publications cover the time period from 1982 to 2023. A bibliomet

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Accommodation

Strengths and Weaknesses of the Smart Education in the Frame of Microelectronics Engineering training in specialties capable of seriously reducing energy consumption, and thus provide the associated skills, knowledge and know-how. It is with these objectives in mind that the strengths and weaknesses are highlighted in this document. Particular attention is paid to microelectronics engineer

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Preventing Summer Learning Loss: A Randomized Control Trialin overall literacy and for the subskills of blending and letter recognition than their control group counterparts. Demographic effects were assessed for students experiencing poverty and students of color. For these demographics, students in the experimental group outperformed their control group c

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Mapping Students’ Digital Eco-system Usage Patterns Using Kernel-Based Principal Component Analysis and use in specific learning contexts is necessary. Artificial Intelligence techniques can be employed to better understand participants’ technological adoption and use in collaborative educational activities. In this study, participant activity was captured in log data, and Kernel-Based Principal