SCHOOL-BASED VIOLENCE AND PEACE: IMPROVING LEARNING IN HIGHER EDUCATION AMONG ADULT SURVIVORS OF SCHOOL BULLYING by Jonathan Chukwuemeka Madu, Abugu Solomon Ogbonna

“…The study indicates that bullying experienced in secondary school could adversely affect the self-esteem and performance of the survivors at tertiary education level and importance of earlier intervention to improve learning. …”
Get full text

The Effects of Digital Game-Based Learning in Technology-Oriented Course: A Case Study in the Biochemistry Department by Cengiz Gunduzalp

Subjects: “…Digital game-based learning…”
Get full text

Continuous professional development and instructors’ beliefs about and practice of active learning method in Bahir Dar university by Mulugeta Teka Kahsay

“…They responded to a questionnaire having two parts: beliefs about active learning methods and application of active learning methods. …”
Get full text

Design and Evaluation of a Hybrid Technique for Detecting Sunflower Leaf Disease Using Deep Learning Approach by Arun Malik, Gayatri Vaidya, Vishal Jagota, Sathyapriya Eswaran, Akash Sirohi, Isha Batra, Manik Rakhra, Evans Asenso

“…As a result, this manuscript investigates the diseases of sunflower leaves, specifically Alternaria leaf blight, Phoma blight, downy mildew, and Verticillium wilt, and proposes a hybrid model for the recognition and classification of sunflower diseases using deep learning techniques. VGG-16 and MobileNet are two transfer learning models that are used for classification purposes, and the stacking ensemble learning approach is used to merge them or create a hybrid model from the two models. …”
Get full text

Q-Learning-Driven Butterfly Optimization Algorithm for Green Vehicle Routing Problem Considering Customer Preference by Weiping Meng, Yang He, Yongquan Zhou

Subjects: Get full text

Determining AI-Based Learning Adoption Model for Students in Entrepreneurship Education: A Design Thinking Approach by Cep Abdul Baasith Wahpiyudin, Sabda Alam Muhammadan, Riska Amalia, Adelia Chrisanta, Asep Taryana

“…Perceived ease of use also positively influences learning motivation and perceived usefulness, although perceived usefulness does not directly impact learning motivation. …”
Get full text

Improving the Machine Learning Stock Trading System: An N-Period Volatility Labeling and Instance Selection Technique by Young Hun Song, Myeongseok Park, Jaeyun Kim

“…However, investors cannot manually analyze all market patterns and establish rules, necessitating the development of supervised learning trading systems that can discover market patterns using machine or deep learning techniques. …”
Get full text

Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment by Eaman Alharbi, Ghadah Alsulami, Sarah Aljohani, Waad Alharbi, Somayah Albaradei

Get full text

RETRACTED: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm by Longjun Guo, Juan Wang, Jiaqi Teng, Yukun Chen

Subjects: Get full text

Multimodal, transmedial, and trans-European perspectives for online language teaching and learning: II YUFE – Ukraine seminar by Joanna Winska, Iryna Shevchenko

“…This event brought together foreign language educators and researchers from Poland, Ukraine, Cyprus, Finland, Georgia, and Belgium, focusing on the theme of online language teaching and learning, which underscored its relevance. Although multimodal and transmedial teaching and learning practices have become popular for ESL and other educational contexts, several additional questions have emerged, including the development of students’ multimodal literacy through online learning, the need for a more critical approach to the assessment of student achievements, and a focus on fostering both professional skills and cultural and social values among students. …”
Get full text

A Complete Coverage Path Planning Algorithm for Lawn Mowing Robots Based on Deep Reinforcement Learning by Ying Chen, Zhe-Ming Lu, Jia-Lin Cui, Hao Luo, Yang-Ming Zheng

“…This paper introduces Re-DQN, a deep reinforcement learning-based algorithm for comprehensive coverage path planning in lawn mowing robots. …”
Get full text

Insights into simulation-based learning: student and faculty experiences in a PharmD program in Saudi Arabia by Reem Binsuwaidan, Najla A. Altwaijry, Alnada A. Ibrahim, Rawan A. Alghamdi, Razan Bin Humaid, Alaa A. AlSharif, Alaa A. AlHubaishi, Elshaymaa I. Elmongy, Lina I. Alnajjar, Ghadah H. Alshehri

Subjects: Get full text

Assessment of future urban flood risk of Thailand's bangkok metropolis using geoprocessing and machine learning algorithm by Duangporn Garshasbi, Jarunya Kitiphaisannon, Tanaphoom Wongbumru, Nawhath Thanwiset Thanvisitthpon

“…This research is the first to integrate geoprocessing with machine learning to enhance the prediction performance and accuracy of future urban flood risk projections.…”
Get full text

A COMPARATIVE STUDY OF DEEP LEARNING METHODS APPLIED FOR WASTEWATER pH NEUTRALIZATION PROCESS MODELLING by Mădălina Cărbureanu

Subjects: “…deep learning…”
Get full text

MASTERY OF THE CONCEPT OF GLOBAL WARMING WITH SEARCH, SOLVE, CREATE AND SHARE LEARNING MODEL INTEGRATED MIND MAPPING by Dina Cahyani, Yennita Yennita, Syahril Syahril

Subjects: Get full text

Enhancing medical English proficiency: the current status and development potential of peer-assisted learning in medical education by Peixin Lin, Yuexin Cai, Sijia He, Xinxin Li, Yuanke Liang, Tian Huang, Juanyun Li, Baohang Lin, Gang Xin, Haoyu Lin

Subjects: “…Peer-assisted learning…”
Get full text

Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…This study presents the combined machine learning methods of cartographic analysis and big Earth data modeling. …”
Get full text

Deep Learning and Automatic Detection of Pleomorphic Esophageal Lesions—A Necessary Step for Minimally Invasive Panendoscopy by Miguel Martins, Miguel Mascarenhas, Maria João Almeida, João Afonso, Tiago Ribeiro, Pedro Cardoso, Francisco Mendes, Joana Mota, Patrícia Andrade, Hélder Cardoso, Miguel Mascarenhas-Saraiva, João Ferreira, Guilherme Macedo

“…Background: Capsule endoscopy (CE) improved the digestive tract assessment; yet, its reading burden is substantial. Deep-learning (DL) algorithms were developed for the detection of enteric and gastric lesions. …”
Get full text

Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities by Thien B. Nguyen-Tat, Tran Quang Hung, Pham Tien Nam, Vuong M. Ngo

Subjects: Get full text

Novel deep reinforcement learning based collision avoidance approach for path planning of robots in unknown environment by Raed Alharthi, Iram Noreen, Amna Khan, Turki Aljrees, Zoraiz Riaz, Nisreen Innab

Get full text