Effective Learning Strategies in Improving Elementary School Students' Character: A Systematic Literature Review

International Journal of Multidisciplinary Approach Research and Science, Journal Year: 2024, Volume and Issue: 2(03), P. 1104 - 1113

Published: June 4, 2024

Character education plays a crucial role in shaping the quality personality of elementary school students. Effective learning strategies have been identified as key approach to enhancing students' characters through education. These help students understand and internalize desired character values their daily lives. This study aims conduct systematic literature review on effective enhance The methodology used is Systematic Literature Review (SLR), data analysis content analysis, database from Google Scholar or last three years (2020-2023) analyzed. results this research obtained with keywords "learning strategies" AND "student character" "elementary students," which 9 articles that met inclusion criteria were selected concluded adaptive, collaborative, innovative are ensuring continuous development characters. teachers greatly influences provide recommendations adapt various effectively develop positive traits for future.

Language: Английский

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A Novel Method for Constructing Online Learning Paths Based on Cognitive Level Assessment of College Students

International Journal of Emerging Technologies in Learning (iJET), Journal Year: 2023, Volume and Issue: 18(11), P. 93 - 109

Published: June 7, 2023

The cognitive level of students is a very important factor that should be considered when constructing learning paths, however, it’s not all could have sufficient technical skills to participate in programs offered by the so real cases, paths can hardly meet actual requirements each student. To solve this matter, paper aims explore new method for online based on assessment college students. At first, introduced deep model into students’ level, is, collected data feedback information student was adopted assess students, then detail structure and principle proposed model. After that, weighted integrates with different levels ensure interpretability generated paths. For specific assigns weights history node thereby planning better easier achieve their goals. last, experimental results verified validity constructed method.

Language: Английский

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Uso de los algoritmos Machine Learning para analizar Moodle y los teléfonos inteligentes en el proceso educativo de la Física

Texto Livre Linguagem e Tecnologia, Journal Year: 2023, Volume and Issue: 16

Published: Jan. 1, 2023

Resumen El objetivo de este estudio mixto es analizar las percepciones los alumnos sobre el uso Moodle y teléfonos inteligentes en proceso educativo la Física a través Ciencia Datos. Los algoritmos Machine Learning utilizados son regresión lineal, árbol decisión deep learning. En estudio, incorporación facilitó entrega tareas, consulta contenidos, comunicación revisión recursos multimedia. Incluso, permitieron acceso plataformas virtuales aprendizaje, aplicaciones móviles desde cualquier lugar. resultados lineal learning indican que influye positivamente motivación alumnos, asimilación del conocimiento satisfacción curso Física. Por otro lado, algoritmo determina 6 modelos predictivos. Las limitaciones técnicas utilizadas análisis herramientas tecnológicas para conocimiento, satisfacción. futuros estudios pueden rol activo desarrollo habilidades diversas preparatorias universidades. Asimismo, bosques aleatorios logística ser empleados impacto estas considerando rendimiento académico. último, permite actualizar cursos diseñar creativas actividades distancia.

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A New Methodology for Clustering of Online Learning Resources Based on Students' Learning Styles

International Journal of Emerging Technologies in Learning (iJET), Journal Year: 2023, Volume and Issue: 18(13), P. 234 - 249

Published: July 7, 2023

Recommending learning resources to students according their respective style is conductive improving efficiency, and the clustering classification of conduce reducing resource redundancy duplication increasing utilization. However, available methods recommendation usually regard students’ styles as fixed invariable, which apparently contradicts reality may have a negative influence on effect. In view this matter, paper aims propose novel methodology for online based student style. At first, specific steps new method were given, Sharpe model was adopted analyze invalid exposure effect identify styles. The coefficient regarded dynamic systemic state, estimated by Kalman filter. Then, Affinity Propagation Clustering (APC) algorithm cluster distance matrix, recommended combinations established proposed method. last, experimental procedures, including evaluation, pretest exam score prediction, posttest data analysis, described in detail, validity verified results.

Language: Английский

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Implementing Local Wisdom-Integrated Project-Based Learning Model to Instill Students’ Learning Independence

SHS Web of Conferences, Journal Year: 2023, Volume and Issue: 173, P. 01011 - 01011

Published: Jan. 1, 2023

Local Wisdom-Integrated Project-Based Learning is an innovative learning that emphasizes complex inquiry-based activities to solve problems. The application of this model supports the attainment concept independent learning, which includes students’ on their own initiative in identifying needs, formulating objectives, resources, selecting and determining strategies, evaluating outcomes. aims study are: 1) determine effect independence, 2) find out how effective 3) analyse 4) factors influence independence. research method used mixed methods with a sequential explanatory design. type method. For study, first stage uses quantitative methods, while second qualitative methods. population sample are 6th-semester students, selected through total sampling technique. will be implementing project-based lectures testing hypotheses related independence data was obtained questionnaire tested using paired t-test N-Gain. by collecting implementation results There increasing independent, increase N-Gain medium category, Factors include motivation, facilities, lecturers’ models/methods.

Language: Английский

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Kosovo Students’ Readiness for Online Learning during the Covid-19 Pandemic

International Journal of Emerging Technologies in Learning (iJET), Journal Year: 2023, Volume and Issue: 18(18), P. 192 - 221

Published: Sept. 25, 2023

Online learning is one of the main alternatives to traditional classroom during COVID-19 pandemic and new regular periods. has been used at many educational levels on a range platforms. Numerous studies have shown that online education beneficial across all academic topic areas. This study aims assess students’ preparedness for epidemic higher institutions. A quantitative strategy built survey method was employed this research project. Students from institutes in Kosovo were purposefully chosen as group. One thousand five hundred people selected sample target population. The simple-to-use structural equation modeling (SEM) model utilized examine data paper. methodology assesses how prepared students are learning. Self-directed (SDL), learner control, motivation, communication self-efficacy components scale. confirmed because they driven learn e-learning environment, institutions (HEIs) considerably more personalized successful their decisions about lives pandemic.

Language: Английский

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Cognitive Status Analysis for Recognizing and Managing Students' Learning Behaviors

International Journal of Emerging Technologies in Learning (iJET), Journal Year: 2023, Volume and Issue: 18(16), P. 150 - 164

Published: Aug. 30, 2023

Online learning environments have become increasingly popular due to their flexibility and convenience, but they also present new challenges, such as maintaining student motivation engagement. To address these it is crucial understand predict students’ behaviors. This study explores the recognition management of behaviors through cognitive status analysis. By conducting a thorough analysis applying advanced deep models algorithms, this demonstrates effectiveness recognizing managing The proposed model combines convolutional neural networks long short-term memory with attention mechanisms, which incorporate evaluation features use them filters for text information. model’s focus on sentences distinctive in leads more effective Additionally, by integrating Most Informative Propositions Semantic Propositional Value into model, achieved excellent results tasks. Further experiments show that mixing different using final achieves high classification accuracy F1 scores multiple types Continuous assessment can lead development strategies intervention measures, enhance mastery knowledge overall performance.

Language: Английский

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Data-Driven Prediction of Students’ Online Learning Needs and Optimization of Knowledge Library Management

International Journal of Emerging Technologies in Learning (iJET), Journal Year: 2023, Volume and Issue: 18(18), P. 150 - 164

Published: Sept. 25, 2023

Thanks to the advancement of information technology, online learning has become a crucial tool modern education, and management education is facing challenges how effectively predict students’ needs optimize knowledge library support these needs. However, existing data-driven prediction approaches are flawed in handling complex environments timely adapting changes, so this study attempts solve questions by exploring correlation between needs, extraction linkages, optimization libraries based on rule updates. In our work, new method was proposed for extracting linkages more accurately identify rule-based introduced allow flexibly adapt changes educational resources. way, offers comprehensive flexible solution via combination two aspects, which not only increases student satisfaction improves teaching quality but also reduces resource waste gives students personalized efficient experience. Furthermore, methods findings could be used as references decision-making other fields.

Language: Английский

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Students’ Decisions in the Context of Social Network Learning Interaction

International Journal of Emerging Technologies in Learning (iJET), Journal Year: 2023, Volume and Issue: 18(23), P. 115 - 129

Published: Dec. 5, 2023

In the context of globalization and technology-driven advancements in 21st century, learning methods have undergone significant changes. The development informatization education social networking technology has facilitated integration into every aspect daily life, extending beyond confines traditional classrooms. Students interact cooperate with other learners on media platforms, which provide them rich resources. However, making best choice from become a core issue. Although evaluation selection resources networks been extensively studied academic community, most studies focused observable attributes while neglecting subjective perception experiential students. This study aimed to investigate how students make decisions based their expectations energy efficiency network environments. also considered more comprehensive accurate references for decisions.

Language: Английский

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Efektivitas Pembelajaran Luring dan Daring Bagi Mahasiswa Pendidikan Fisika Angkatan 2023

Jurnal Pendidikan Jarak Jauh, Journal Year: 2023, Volume and Issue: 1(1), P. 15 - 15

Published: Dec. 14, 2023

Education is comprehensive and has been going on continuously from generation to generation. in the era of revolution 4.0 influenced by advances technology (Chieng & Tan, 2021). Learning teaching activities are no longer limited time space, such as online learning systems (Prasojo et al., 2017). The purpose this study present results research comparison effectiveness offline Physics students class 2023 at Yogyakarta State University.

Language: Английский

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