Affective Computing for Learning in Education: A Systematic Review and Bibliometric Analysis by Rajamanickam Yuvaraj, Rakshit Mittal, A. Amalin Prince, Jun Song Huang

“…Classrooms are identified as the primary research environments; the largest research sample group is university students. Learning domains are mainly associated with science, technology, engineering, and mathematics (STEM) courses. …”
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L’enseignement scientifique, entre émancipation et asservissement ? by Denise Orange-Ravachol

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Cours interactif et performance académique d’étudiants de première année universitaire en économie by Alain de Crombrugghe, Marc Romainville

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Learning From High-Cardinality Categorical Features in Deep Neural Networks by Mustafa Murat Arat

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Developing Financial Forecast Modeling With Deep Learning On Silver/Ons Parity by Adem Üntez, Mümtaz İpek

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Machine Learning-Based Classification of Turkish Music for Mood-Driven Selection by Nazime Tokgöz, Ali Değirmenci, Ömer Karal

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PLANTNET: A DEEP LEARNING MODEL FOR EARLY DETECTION OF PLANT DISEASES by J Lenin, S Muthumarilakshmi, V S Prabhu

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

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

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Understanding why teachers entrust technology in innovating the learning outcomes by Sahlan Tampubolon, Lela Susanty, Khasanah Khasanah, Wisman Wisman, Agus Riyanto

“…This study aims to analyze why elementary school and college educators trust technology to achieve teaching and learning outcomes. To discuss in order to answer the problem comprehensively and with high validity, we have collected data with the help of technology in a database of academic works such as journals, books, proceedings, magazines, and digital era educational technology websites. …”
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Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning. by Mohammad Neamul Kabir, Li Rong Wang, Wilson Wen Bin Goh

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Machine learning mathematical models for incidence estimation during pandemics. by Oscar Fajardo-Fontiveros, Mattia Mattei, Giulio Burgio, Clara Granell, Sergio Gómez, Alex Arenas, Marta Sales-Pardo, Roger Guimerà

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The advantages of lexicon-based sentiment analysis in an age of machine learning. by A Maurits van der Veen, Erik Bleich

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Machine learning-based analyzing earthquake-induced slope displacement. by Jiyu Wang, Niaz Muhammad Shahani, Xigui Zheng, Jiang Hongwei, Xin Wei

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Learning predictive signatures of HLA type from T-cell repertoires. by María Ruiz Ortega, Mikhail V Pogorelyy, Anastasia A Minervina, Paul G Thomas, Thierry Mora, Aleksandra M Walczak

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Fault tolerance in distributed systems using deep learning approaches. by Basem Assiri, Abdullah Sheneamer

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Object detection in motion management scenarios based on deep learning. by Baocheng Pei, Yanan Sun, Yebiao Fu, Ting Ren

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Deep learning-based differential gut flora for prediction of Parkinson's. by Bo Yu, Hang Zhang, Min Zhang

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Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

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Effects of project-based learning on EFL learners' writing performance. by Abebaw Andargie, Dawit Amogne, Ebabu Tefera

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