English Online Learning in the Age of Global Pandemic: How Do Teachers and Students Feel? by Dwi Ilmiani, Muamaroh Muamaroh, Arif Nugroho

“… Numerous researchers examine teachers' and students’ experiences in online learning at the college level. But there are a few sources that explore the implementation of English online classes at a Vocational high level. …”
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Machine Learning Applications in Road Pavement Management: A Review, Challenges and Future Directions by Tiago Tamagusko, Matheus Gomes Correia, Adelino Ferreira

“…This review examines the integration of Machine Learning (ML) into Pavement Management Systems (PMS), presenting an analysis of state-of-the-art ML techniques, algorithms, and challenges for application in the field. …”
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A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing by Hardi Sabah Talabani, Ihsan Hamza Jumaa

“…As a result, scientific research for these applications is increasing every day and leads to different results for these applications in different areas of the Internet of Things and its multiple uses. This study presents an analysis of machine learning techniques and the need for ML and its types. …”
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An investigation of learning strategies & personality traits among proficient & less proficient ESL learners by Christine Shobana Arthur, Lee Luan Ng

“…The outcome of the present study would be useful to assist language instructors in helping less proficIent ESL learners in undergoing a more effective and successful second language leaming experience and enlighten proficient ESL learners about their preference in language learning strategies. …”
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Development of Relation and Function e-Modules Based on Contextual Learning Integrated with Islamic Values by Dwi Setiawati Radjak, Turmudi Turmudi, Imam Sujarwo

“…The relations and function e-module specifications developed include understanding the concepts of relations and functions and presenting relations and functions based on integrated contextual learning of Islamic values. …”
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Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning by Lixing Liu, Volkan Ustun, Rajay Kumar

“…The effectiveness of multi-agent reinforcement learning (MARL) hinges largely on the meticulous arrangement of objectives. …”
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Ability beliefs: Why believing in your ability matters in self-regulated language learning by Yoshiyuki Nakata, Osamu Takeuchi, Maya Sugita McEown

“…Therefore, it is vital to clarify the role that learners’ perceived abilities play in self-regulated language learning. The present paper aims to: (1) provide a review of empirical studies related to L2 strategy use, motivation, and social regulation about ability beliefs, (2) explore the reciprocal relationship between these constructs, and (3) suggest future research directions that will help promote self-regulated language learning research. …”
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Analysis of the Ability to Understand Mathematical Concepts Based on Student Learning Styles in Calculus Courses by Nur Qomariyah Nawafilah, Masruroh Masruroh

“…Students with an auditory learning style are categorized as very good in presenting examples and non-examples, averaging 72%. …”
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Pearson Autocovariance Distinct Patterns and Attention-Based Deep Learning for Wind Power Prediction by W. G. Jency, J. E. Judith

“…For proper planning and operation of power systems with complicated patterns, wind power prediction in an accurate and timely manner is essential. This paper presents a wind power prediction method with feature selection and prediction called, Pearson Autocovariance Distinct Patterns and Attention-based Deep Learning (PACDP-ADL). …”
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PV Production Forecast Using Hybrid Models of Time Series with Machine Learning Methods by Thomas Haupt, Oscar Trull, Mathias Moog

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DEVELOPING ENGLISH LEARNING MATERIAL BY USING WEBSITE FOR MARITIME VOCATIONAL HIGH SCHOOL STUDENTS by Aminah Aminah, M Syahputra

“…The learning materials were presented in printed form and e-learning which supported by attractive illustrations and videos as the implementation of website. …”
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EVALUATING THE EFFICACY OF DIGITAL AUTHENTIC MATERIALS: CHALLENGES IN TAILORED LANGUAGE LEARNING IN ESP CONTEXTS by Khainur Jannah, Dadang Sudana, Fathin Anjani Hilman

“…A case study approach was used with data triangulation to address the problems associated with using DAM in self-paced learning programs. The participants consisted of six ESP lecturers across diverse disciplines at one public university with established ESP programs across various faculties. …”
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Design-LIME: An Interpretable Visualization Method for Electric Motor Design Based on Deep Learning by Kazuhisa Iwata, Hidenori Sasaki

“…We employ a pre-trained deep learning (DL) model to predict the degree of influence of transitions from air to magnetic materials, and build an interpretable linear model to display the visualization result. …”
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Evaluative Judgment: A Validation Process to Measure Teachers’ Professional Competencies in Learning Assessments by José Miguel Olave Astorga, Félix González-Carrasco

“…This article deals with teachers’ professional development, focusing specifically on their competencies to assess learning. Research in this field has shown a lack of instruments for measuring such competencies in practicing teachers. …”
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Classification of Material Type from Optical Coherence Tomography Images Using Deep Learning by Metin Sabuncu, Hakan Ozdemir

“…We present the results of the created deep learning models’ capability to classify fabric fiber material types. …”
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Semi-Supervised Multi-View Ensemble Learning Based On Extracting Cross-View Correlation by ZALL, R., KEYVANPOUR, M. R.

“…Correlated information between different views incorporate useful for learning in multi view data. Canonical correlation analysis (CCA) plays important role to extract these information. …”
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An investigation of learning strategies & personality traits among proficient & less proficient ESL learners by Christine Shobana Arthur, Lee Luan Ng

“…The outcome of the present study would be useful to assist language instructors in helping less proficIent ESL learners in undergoing a more effective and successful second language leaming experience and enlighten proficient ESL learners about their preference in language learning strategies. …”
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Efficient speed control of DC motors: imitation learning with fuzzy logic expert systems by Güray Sonugür

“…Two learning-based methods were employed in this study to control DC motor speeds. …”
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Dual Branch Graph Representation Learning-Based Approach for Next Point-of-Interest Recommendation by Guoning Lv, Min Gao

“…To bridge this gap, we present a new method DBGR. Specifically, DBGR first introduces a language model to extract semantic representations from the text-based features of POIs, such as category information. …”
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Enhancing Defect Classification in Solar Panels With Electroluminescence Imaging and Advanced Machine Learning Strategies by Fatih Demir

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