PERSONALIZED MOOCS IN BLENDED LEARNING by Vyacheslav A. Starodubtsev

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Machine Learning for Medical Applications by Huiyu Zhou, Jinshan Tang, Huiru Zheng

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4-H Project Learning by Judith Levings

“… A project is a planned series of learning experiences of six hours or more within a particular area of youth interest (Florida 4-H definition). …”
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Learning the simplicity of scattering amplitudes by Clifford Cheung, Aurélien Dersy, Matthew D. Schwartz

“…This work explores the application of machine learning to a particular facet of this challenge: the task of simplifying scattering amplitudes expressed in terms of spinor-helicity variables. …”
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The learning with care training materials by Judy Furnivall, Barbara Hudson

“…Outlines the content of the Learning with Care training materials, commissioned by the Scottish Executive through the Learning with Care project. …”

Teaching and Learning: Motivating Learners by Isabella Damiani, Andrew C. Thoron, James C. Bunch

“…Educators must be aware of the continuum of motivation and appropriately provide opportunities for student engagement, learning, and growth. This 2-page document discusses how to motivate learners. …”
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CLASSIFICATION OF LEARNING MANAGEMENT SYSTEMS by Yu. B. Popova

Subjects: “…: learning management system…”
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Decription of Students’ Learning Style by Laila Isrona

“…Vermunt states four learning styles: meaning-directed, application-directed, reproduction-directed and undirected learning styles. …”
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Partition Learning for Multiagent Planning by Jared Wood, J. Karl Hedrick

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Clinical Applications of Machine Learning by Nadayca Mateussi, PhD, Michael P. Rogers, MD, Emily A. Grimsley, MD, Meagan Read, MD, Rajavi Parikh, DO, Ricardo Pietrobon, MD, PhD, Paul C. Kuo, MD

“…This review introduces interpretable predictive machine learning approaches, natural language processing, image recognition, and reinforcement learning methodologies to familiarize end users. …”
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Professional learning and the on-line discussion by Michael Hammond

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Learning model development moodle-based problem-based learning to improve critical thinking ability by Poy Saefullah Zevender, Disman Disman, Hari Mulyadi, Edutivia Mardetini, Deni Adriani, Lazuardi Imani Hakam

“…The MOODLE -Based Blended Problem Based Learning Model is considered suitable for develop ability think critical because Blended Problem Based Learning related learning with real world problems as context for participant educate for study think critical and skills solve problem , the MOODLE -based Learning Management System helps participant educate enter into the room digital class and can access materials learning in blended learning as effort restore educational conditions during the COVID-19 endemic. …”
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The improvement students learning achievement by applying work based learning combined with teaching factory concept by Hasan Maksum, Wawan Purwanto, Toto Sugiarto, Nuzul Hidayat, Siman Siman, Hanapi Hasan

Subjects: “…work-based learning model teaching factory automotive vocational students validity, practicality, effectivity…”
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The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks by Sunku V.S., Namboodiri V., Mukkamala R.

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Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

“…The present inquiry advocates for the adoption of sophisticated computational methodologies, including machine learning and deep learning, to analyze borrowers’ behavioral patterns, demographic profiles, and credit histories, thus facilitating the prognostication of loan repayment likelihood. …”
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Determinants of Success and Risks of Implementing the “Service Learning” Approach in a Project-Oriented Learning Environment by Ya. A. Aslanov, L. S. Detochenko, A. P. Lepin, E. V. Martynova

Subjects: “…“service learning” pedagogical approach…”
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Musical colossal drama project-based learning to boost students’ engagement in English language learning by Upik Hastuti

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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…These techniques are categorized further into machine learning (ML), deep learning (DL), and federated learning (FL). …”
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Learning the Car-following Behavior of Drivers Using Maximum Entropy Deep Inverse Reinforcement Learning by Yang Zhou, Rui Fu, Chang Wang

“…The present study proposes a framework for learning the car-following behavior of drivers based on maximum entropy deep inverse reinforcement learning. …”
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Teacher strategies in online learning to increase students’ interest in learning during COVID-19 pandemic by Sutarto Sutarto, Dewi Purnama Sari, Irwan Fathurrochman

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