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PENGEMBANGAN BUKU AJAR KETERAMPILAN MENYIMAK BERBASIS CONTEXTUAL TEACHING AND LEARNING
Published 2020-05-01“…The effectiveness of textbooks is seen from the results of student activities and learning outcomes. The product was tested on students of the Indonesian Language Study Program at STKIP PGRI West Sumatra and Padang State University. …”
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242
A hybrid framework of generative deep learning for antiviral peptide discovery
Published 2025-07-01Get full text
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243
Crafting Design Solutions for Lifelong Learning and Health Promotion in Elderly Communities
Published 2025-05-01“…Promoting lifelong learning among senior citizens is essential for fostering their confidence and independence. …”
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244
Machine learning model for random forest acute oral toxicity prediction
Published 2025-01-01“…The focus of this study is to establish the most efficient method for constructing reliable and precise models for toxicity prediction.METHODS: The random forests were evaluated, a robust ensemble method, for predicting acute oral toxicity using a comprehensive dataset from National Toxicology Program/Interagency Center for the Evaluation of Alternative Toxicological Methods and Environmental Protection Agency/National Center for Competency Testing, which presented significant class imbalance, 8 percent very toxic 92 percent not very toxic. …”
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Company-university intersections through service-learning (SL): a systematic review
Published 2024-12-01“…Among the possible intersections, Service-learning (SL) is an educational proposition that may help university students to develop their personal skills, offering them opportunities to learn and practice civic commitment, improving their sense of social and citizen responsibility, and combining academic and community-service learning in a constructed programme where participants train by working on real needs of the environment to optimize and transform the latter. …”
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247
Online teaching and learning at Chinese universities during COVID-19: Insiders’ perspectives
Published 2024-07-01“…Based on the insiders’ views, the paper suggested that to promote the quality of online education in the post-COVID-19 pandemic, higher education institutes and programs could develop their infrastructure construction, improve teachers’ quality of teaching, and focus on students’ learning motivations.…”
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248
SYMMETRY PRINCIPLE AS A BASIS FOR INTEGRATION IN SCIENCE AND ITS VALUE FOR EDUCATION
Published 2019-05-01“…Students’ thinking and consciousness become fragmented due to the exorbitant, permanently increasing amount of information that is presented for learning, but cannot be fully mastered by students. …”
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249
概念為本跨領域課程發展之研究—以國際文憑組織中學階段課程為例 Concept-Based Interdisciplinary Curriculum Development in International Baccalaureate Schools in Taiwan– The International Baccalaureate Middle Years...
Published 2024-12-01“…For curriculum integration, the intradisciplinary-cohesion model was first adopted, followed by the interdisciplinary model. (2) Instructional activities were designed using a backward design approach, with inquiry-based tasks, multiple assessments, and rubrics clearly delineating learning objectives. These activities guided students in progressively and actively constructing principles. …”
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250
Cloud software code generation via knowledge graphs and multi-modal learning
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251
Comparing the Effects of Teaching based on the Learning cycle model, Collaborative method and usual method on the level of Academic Engagement and Attitude towards Learning in Expe...
Published 2025-01-01“…It seems that in the collaborative method and the learning cycle, students' cognitive constructions become imbalanced through facing the real problems of the class and pondering over them. …”
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252
Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development
Published 2018-12-01“…The effectiveness of this interaction resulted from its information support, based on reliable information, promptly provided to all the members of learning process.The aim of this paper was to study the machine learning methods potential for the effective management of learning process by the example of implementing information support component designed to diagnose and predict the professional development of students based on automatic text analysis.Methodology and research methods. …”
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253
The results of using machine learning technology for intraocular lenses optical power calculation
Published 2022-12-01“…The dataset included 455 depersonalized records of patients (26 columns of input factors and one column – output factor – calculation of IOL (dptr). For convenient construction of ANN models, a simulator program previously developed by the authors and Python language tools in the Google Colaboratory were used. …”
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254
From Reductionist Skills to Meaningful Learning: Trust and Humility in Bedside Cardiac Assessment
Published 2025-08-01“…We are studying the curriculum’s effects on BCA-related knowledge, skills, and attitudes and trust-worthiness as a learning construct. Research opportunities include impacts on humility, patient-centeredness, and PIF. …”
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255
Entry Into Valhalla: Contextualising The Learning of Legal Ethics Through the Use of Second Life Machinima
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256
Teaching and learning process for mathematization activities: The case of solving maximum and minimum problems
Published 2021-03-01“…To reach this aim, this qualitative study was conducted through an observation of the learning and teaching process, including the formative written assessment, for the case of maximum and minimum problems, involving 19 students of mathematics education program. …”
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257
Deep learning quantifies pathologists’ visual patterns for whole slide image diagnosis
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258
Contrail altitude estimation using GOES-16 ABI data and deep learning
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259
Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback
Published 2024-12-01“…Employing a range of machine learning and deep learning techniques, including Random Forest, XGBoost, BERT, and GPT-3.5, we systematically investigated the effectiveness of different approaches for constructing classifiers to accurately categorize feedback into various learner-centered components. …”
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260
APPROACH TO BUILDING A GLOBAL MOBILE AGENT WAY BASED ON Q-LEARNING
Published 2020-09-01“…The following methods are used: graph theory, queuing theory, Markov decision-making process theory and mathematical programming methods. The research is based on scientific articles and other materials from foreign conferences and archives in the field of machine learning, deep learning and deep reinforcement learning. …”
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