Article Per Year (5 Year)
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0.882
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This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) Journal of Applied Data Sciences International Journal for Applied Information Management Rechtsnormen Journal of Law
Liu Yang
Beijing Institute of Technology
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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The influence of perceive teacher support on high school students’ learning engagement in China Yang, Liu; Lian, Lim Hooi
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i1.29898

Abstract

This study explores the influence of perceived teacher support on learning engagement and the mediating role played by psychological capital of senior high school students. There were 572 Chinese senior high school students from Inner Mongolia Autonomous Region in China completed a ranger of self-report questionnaires. The results of this study showed that perceived teacher support was significantly and positively related to learning engagement of senior high school students, and positively correlated with their psychological capital which consists of four dimensions: hope, self-efficacy, optimism, and resilience. The psychological capital was significantly and positively associated with learning engagement among senior high school students and mediated the relationships between perceived teacher support and learning engagement.
Perceive social support, academic self-efficacy, and learning engagement among high school students in China Yang, Liu; Hooi Lian, Lim
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i1.31029

Abstract

The aim of this study was to analyze the mediating role of academic self-efficacy in the relationship between perceive social support and learning engagement among Chinese senior high school students. A quantitative research method was adopted, and 572 Chinese senior high school students from Inner Mongolia Autonomous Region in China completed three self-report questionnaires. Correlation analysis revealed that senior high school students perceive social support, academic self-efficacy, and learning engagement were significantly correlated with each other. In addition, structural equation modeling analysis showed that perceive social support exerted its indirect effect on learning engagement through the mediation of academic self-efficacy. These findings have practical implication for government policymakers, education administrators, teachers, students, and parents, informing evidence-based policies, interventions, and strategies to enhance learning engagement and academic success.
Blended Teaching Model Optimization for Innovation and Entrepreneurship Courses through Data Analytics in Higher Education Yang, Liu; Sangsawang, Thosporn; Thepnuan, Naruemon; Chankham, Nawaphas; Kulnattarawong, Thidarat
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.734

Abstract

This study aimed to (1) develop a blended teaching model for Innovation and Entrepreneurship courses in Chinese higher education, and (2) assess the effectiveness of the proposed model. The sample consisted of 17 Chinese experts selected through purposive sampling and 30 higher education students from China. The research employed statistical analysis techniques including mean, standard deviation, coefficient of variation, and t-test to analyze the data. Results demonstrated significant improvements in students' entrepreneurship skills. In the experimental group, the pre-test mean score increased from 2.21 to 3.78 post-intervention, while the control group showed a slight improvement from 2.32 to 2.84. The standard deviation of learning outcomes decreased from 0.884 to 0.564, indicating a more consistent student performance. A statistically significant difference was observed (p = 0.003), confirming the effectiveness of the blended teaching model. These findings highlight the potential of blended learning in enhancing the quality of innovation and entrepreneurship education.
International Environmental Law and Climate Change Mitigation Efforts Dewi, Kemmala; Harmono, Harmono; Wei, Sun; Yang, Liu; Zani, Benny Novico
Rechtsnormen: Journal of Law Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v3i1.2070

Abstract

Background: Climate change is one of the most pressing global challenges, with significant consequences for ecosystems, economies, and human societies. International environmental law plays a critical role in shaping global efforts to mitigate climate change by establishing legal frameworks for cooperation and action. However, the effectiveness of international environmental law in addressing climate change remains a subject of debate, particularly concerning the implementation of mitigation strategies at the national and global levels. Objective: This study aims to analyze the role of international environmental law in climate change mitigation efforts, with a focus on the key legal instruments and agreements that shape global climate governance. The research seeks to evaluate the effectiveness of these legal frameworks in reducing greenhouse gas emissions and promoting sustainable environmental practices. Method: A qualitative research design was employed, using case studies, legal analysis, and interviews with environmental law experts, policymakers, and practitioners. The study examined major international agreements such as the Paris Agreement and the Kyoto Protocol to assess their impact on climate change mitigation efforts. Results: The findings indicate that while international environmental law has contributed to raising awareness and setting targets for climate change mitigation, the implementation of these efforts remains uneven, with many countries struggling to meet their commitments due to domestic challenges. Conclusion: The study concludes that international environmental law has been instrumental in global climate change efforts, but enhanced implementation mechanisms and greater international cooperation are necessary to achieve meaningful progress.
Sentiment Analysis on Job Descriptions in the Technology Sector: Measuring Positive and Negative Perceptions of Companies Using Natural Language Processing Techniques Yang, Liu; Pigultong, Matee
International Journal for Applied Information Management Vol. 4 No. 3 (2024): Regular Issue: September 2024
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v4i3.88

Abstract

Sentiment analysis in job descriptions plays a critical role in shaping employer branding and recruitment strategies. This study investigates the sentiment of job postings in the technology sector using NLP techniques, focusing on the emotional tone of descriptions across various job types, companies, and subcategories. The analysis reveals that positive sentiment predominates in job descriptions, with a clear trend towards using optimistic language to attract candidates. The findings show that Software Development positions tend to have the most positive tone, while roles such as IT Management exhibit a more balanced sentiment. Additionally, the use of inclusive language, such as "equal opportunity" and "years of experience", is prevalent in the descriptions, highlighting the growing importance of diversity and inclusivity in recruitment. Visualization tools like word clouds and trend analysis illustrate how sentiment shifts over time, with a noticeable increase in positive sentiment from 2020 onwards. The results underscore the potential of sentiment analysis and NLP in optimizing recruitment processes, aligning job descriptions with candidate expectations, and enhancing employer branding strategies.
Co-Authors Chankham, Nawaphas Harmono, Harmono Hooi Lian, Lim Kemmala Dewi Kulnattarawong, Thidarat Lian, Lim Hooi Pigultong, Matee Sangsawang, Thosporn Sun Wei Thepnuan, Naruemon Zani, Benny Novico