University e-learning methodologies and their financial implications: evidence from Uganda by Eton, Marus, Rest, Chance

Subjects: “…University education, Digitalization in universities, E-learning, Financial implications, Information and communications technology…”
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Neuroprotective Effect of Leaf Extract of Moringa Oleifera And Fenofibrate on Learning and Memory in Wistar Rats Subjected to Water Immersion Restraint Stress by Stephen, Olawale Ajayi, Iliya, Ezekiel, Iliya, Andesire, Agnes, Igimi Odey, Ajayi, Damilola Ife, Ejike, Daniel Eze

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Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution by Samuel, Kakuba, Alwin, Poulose

“…The success of deep learning in speech emotion recognition has led to its application in resource-constrained devices. …”
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Learners' Perception of English Language Learning in Universal Secondary Schools in Kisoro District. by Ndagijimana, Ngenda

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Facilities management and quality of teaching and learning at a multi- campus public university in Uganda by Eden, Akategeka, Denis, Sekiwu, Frederick, Ssempala

Subjects: “…Facilities management, quality teaching and learning, massification, higher education…”
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Effect of Learning Environment on Academic Performance of Pupils and Students in Kagango Division Sheema Municipality. by Andonzire, Steve James

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Assessing Medical Students’ Learning Style Preferences at Kabale University Medical School, Uganda. by Muhaise, Hussein, Businge, Phelix Mbabazi, Ssemaluulu, Paul, Kyomugisha, Patricia

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Aspects of How Teachers and Students Use Instructional Materials for Effective Instructional and Learning of History. by Chimpaye, Edith

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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

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Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features by Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee

“…In this paper, we propose a deep learning-based model named concurrent spatial-temporal and grammatical (CoSTGA) model that concurrently learns spatial, temporal and semantic representations in the local feature learning block (LFLB) which are fused as a latent vector to form an input to the global feature learning block (GFLB). …”
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