Predicting learning achievement using ensemble learning with result explanation. by Tingting Tong, Zhen Li

“…Predicting learning achievement is a crucial strategy to address high dropout rates. …”
Get full text

Comparison of the effectiveness of problem based learning (PBL) and project based learning (PjBL) models in the learning process by Herman Darmawan, Faisal Hakti, Rima Damayanti, Muhammad Fikri, Halim Rafi’i

Subjects: Get full text

Self-directed learning for optimizing sustainable language learning via mobile assisted language learning: a systematic review by S. Shalini Roy, S. N. S. Gandhimathi

Subjects: “…self-directed learning…”
Get full text

Development of Mathematics Learning Tools Using Problem Based Learning Model to Improve Problem Solving Skills and Learning Motivation by Irma Yani Lidia Nasution, Mulyono Mulyono, Edy Surya

Subjects: “…problem based learning, problem solving ability, student learning motivation.…”
Get full text

Node selection method in federated learning based on deep reinforcement learning by Wenchen HE, Shaoyong GUO, Xuesong QIU, Liandong CHEN, Suxiang ZHANG

Subjects: “…federated learning…”
Get full text

Hierarchical Learning: A Hybrid of Federated Learning and Personalization Fine-Tuning by Li Shuyi, Zhang Bairong

“…Hierarchical Federated Learning (FL) presents a novel approach that combines global model training with localized personalization fine-tuning to enhance the predictive accuracy of decentralized machine learning systems. …”
Get full text

Research on network traffic classification based on machine learning and deep learning by Yue GU, Dan LI, Kaihui GAO

“…With the continuous development of Internet technology and the continuous expansion of network scale, there are many different types of applications , and various new applications have endlessly emerged.In order to ensure the quality of service (QoS) and ensure network security, accurate and fast traffic classification is an urgent problem for both operators and network managers.Firstly, the problem definition and performance metrics of network traffic classification were given.Then, the traffic classification methods based on machine learning and deep learning were introduced respectively, the advantages and disadvantages of these methods were analyzed, and the existing problems were expounded.Next, the related work by focusing on the three problems encountered elaborated and analyzed in traffic classification when considering online deployment: dataset, zero-day application identification and the cost of online deployment, and further discusses the challenges faced by the current network traffic classification researches.Finally, the next research direction of network traffic classification was prospected.…”
Get full text

Learning Automata Based Incremental Learning Method for Deep Neural Networks by Haonan Guo, Shilin Wang, Jianxun Fan, Shenghong Li

Subjects: “…Supervised learning…”
Get full text

The Development of Learning Environment Based on Learning Materials in EFL Speaking Class by Nyak Mutia Ismail, Marisa Yoestara

Subjects: “…Learning Environment…”
Get full text

Robust kernel extreme learning machines for postgraduate learning performance prediction by Hongxing Gao, Tianzi Xu, Nan Zhang

Subjects: “…Extreme learning machine…”
Get full text

IMPLEMENTATION OF BLENDED LEARNING MODEL BASED ON NSTU DISTANCE LEARNING SYSTEM by Marina V. Legan, Tatyana A. Yatsevich

Subjects: Get full text

Concurrent Learning of Control Policy and Unknown Safety Specifications in Reinforcement Learning by Lunet Yifru, Ali Baheri

Subjects: Get full text

Utilization of Learning Media in Conditioning Classes in Fiqh Learning at Madrasah Tsanawiyah by Putri Suci Rahmadani, Nurmawati Nurmawati

Subjects: “…Learning Media…”
Get full text

The Influence of the STEAM Learning Model on Mathematics Learning Outcomes in Percent Material by Annisa Khairah, Sapri Sapri, Lailatun Nur Kamalia Siregar

Subjects: “…mathematics; steam model; student learning outcomes…”
Get full text

Immersive learning of the young generation using a mobile learning lab by Eduard N. Ayubov, Svetlana V. Neveleva

Subjects: Get full text

Experience in Assessing Competencies in Self-Regulted Learning in Blended Learning Environments by S. M. Bakhisheva, G. B. Golub, A. M. Kemeshova, Z. G. Mukhtar, J. S. Kazhiakparova

Subjects: “…self-regulated learning…”
Get full text

The Navigation of Home Service Robot Based on Deep Learning and Machine Learning by Yupei Yan, Weimin Ma, Sengfat Wong, Xuemei Yin, Qiang Pan, Zhiwen Liao, Xiaoxin Lin

“…This paper discusses how to improve the accuracy of navigation for home service robot based on the deep learning and machine learning. First, the crawling programing is applied to collect enough images of fridge and washing machine on the web; a deep learning framework is proposed that can distinguish fridge and washing machine more accurately. …”
Get full text

Application of backward design in designing learning with the observation-based learning method by Yusuf Nugraha Dano Ali

Subjects: Get full text

Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

Subjects: “…deep learning…”
Get full text

Metacognition and cooperative learning based on deliberative democracy moderated by learning style toward critical thinking skill in social studies learning by Agus Suprijono, Ersis Warmansyah Abbas, Riyadi

Subjects: “…Cooperative learning…”
Get full text