Article
Green & Sustainable Science & Technology
Luiza Olim de Sousa
Summary: This study found that incorporating a participatory approach in teaching and learning for sustainable development in a South African higher education institution led to the emergence of social learning indicators such as learning, critical thinking, problem solving, and conflict resolution. Students used their different perspectives to collaborate towards resolving environmental issues, demonstrating the effectiveness of interdisciplinary action in addressing sustainability challenges.
Article
Computer Science, Information Systems
Mostafa Hamadi, Jamal El-Den, Sami Azam, Narumon Sriratanaviriyakul (Cherry)
Summary: The adoption of social media as educational tools in higher education has gained popularity, but the lack of comprehensive integration framework and empirical studies to evaluate its effectiveness is evident. This study investigates the use of social media as a pedagogical tool in higher education and identifies key factors that drive its inclusion in classrooms. The findings suggest a significant positive relationship between the adopted integration framework and cooperative learning, mitigation of social media challenges, students' intention to use social media, and their learning process.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Social Sciences, Interdisciplinary
Weihui Mei, Lorraine Pe Symaco
Summary: This study investigates the role of university towns in human capital and skills development, regional innovation, and social and community services using a framework of teaching, research, and service. It suggests that issues can be further improved through more efficient resource-sharing, focused discipline orientation, and greater investments in research and development.
Article
Green & Sustainable Science & Technology
Zhao Jing, Jamshid Ali Turi, Song Lu, Joanna Rosak-Szyrocka
Summary: The Learning Factory (LF) is a skill-based educational approach that plays a significant role in educational and sustainable development. This study investigates the importance of LF in academic institutions and emphasizes the need for collaboration between academia and industry to train a future workforce for inclusive sustainable development.
Review
Psychology, Multidisciplinary
Nazaret Martinez-Heredia, Silvia Corral-Robles, Gracia Gonzalez-Gijon, Micaela Sanchez-Martin
Summary: Service learning is an innovative methodology that integrates community service and learning to reduce inequality. This study used a bibliometric analysis to describe the field of service learning and inequality in higher education.
FRONTIERS IN PSYCHOLOGY
(2022)
Review
Education & Educational Research
Eva Perez, Stefania Manca, Rosaura Fernandez-Pascual, Conor Mc Guckin
Summary: The use of social media in higher education has been proven to be an attractive and contemporary teaching and learning method. However, more research is needed to align its benefits with educational practices. This study provides a systematic literature review and analysis of research from 2009 to 2021, aiming to identify theoretical frameworks, research trends, and patterns in this field. The results indicate a growing interest in social media's use in teaching and learning, with a focus on attitudes. The most commonly used theories are technology acceptance theories and learning theories, while there is a lack of pedagogical theory.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Computer Science, Interdisciplinary Applications
Ewelina Lacka, T. C. Wong, Mohamed Yacine Haddoud
Summary: This research examines the role of digital technologies in Higher Education and finds that the use of Virtual Learning Environment can enhance students' efficiency in achieving HE goals, while students who use Social Media perform the worst. Further research is encouraged to explore more diligent use of these technologies in the HE setting.
COMPUTERS & EDUCATION
(2021)
Article
Economics
Alice Bertoletti, Jasmina Berbegal-Mirabent, Tommaso Agasisti
Summary: This study examines the influence of higher education systems (HESs) on regional economic development in Europe. The findings suggest that the size of HESs, student internationalization, and research productivity are important factors for regional economic development. The study highlights the importance of comprehensively modeling the diversity of HESs and provides insights for policymakers in driving and fostering the economic development of their regions.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Paolo Trucillo, Alessandro Erto
Summary: The concept of sustainability is used to compare manufacturing processes or material selection. Sustainability is defined as maximizing an objective function related to economic, environmental, and social impacts. Sustainability indicators are calculated and represented using radar diagrams to identify weaknesses and propose optimization methods.
Review
Ecology
Tovah Kashetsky, Tal Avgar, Reuven Dukas
Summary: Cognition plays a vital role in animals' movement and social learning, with cognitive mechanisms influencing navigation, social behaviors, and information acquisition. The interaction between cognition and movement shapes animals' choices and social structures, highlighting the importance of understanding cognitive processes in predicting animal behaviors.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2021)
Review
Education & Educational Research
Ritesh Chugh, Robert Grose, Stephanie A. Macht
Summary: This study provides a scoping review of the literature on higher education academics' usage of social media, highlighting the benefits and challenges they face. Despite limited use, social media has clear benefits for career development, research, and teaching. The study emphasizes the need for academics to become more aware and comfortable with using social media in their professional lives.
EDUCATION AND INFORMATION TECHNOLOGIES
(2021)
Article
Chemistry, Multidisciplinary
Chiu-Yu Yeh, Yaw-Shyan Tsay
Summary: This study aims to use machine learning to propose a predictive model of acoustic indicators as a simple evaluation tool for the architectural design and interior decoration of multi-functional activity centers. The machine learning model, trained with basic information of the space, was able to predict almost all acoustic indicators within a certain accuracy. Through GBDT and ANN algorithms, the model could reach high prediction precision for various acoustic indicators, making the process convenient and accurate without the need for 3D modeling or simulation software.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Anete Veidemane
Summary: This paper examines the shortcomings of existing sustainability rankings in terms of indicators for Education for Sustainable Development (ESD) and explores the opportunities and challenges in developing internationally comparable ESD indicators. The results indicate that ESD indicators are considered highly relevant and the majority of higher education institutions surveyed plan to collect ESD data in the near future. However, the current ESD indicators lack sufficient criteria for identification and comparison across countries.
Article
Business
Violeta Milicevic, Nebojsa Denic, Zoran Milicevic, Ljiljana Arsic, Milica Spasic-Stojkovic, Dalibor Petkovic, Jelena Stojanovic, Mirjana Krkic, Natasa Sokolov Milovancevic, Aleksandra Jovanovic
Summary: Distance learning, enabled by modern ICT, allows students to learn anytime, anywhere at their own pace. Despite its global prevalence, only 18 higher education institutions in Serbia have accredited programs for distance learning. This paper focuses on analyzing the current status and potential options for accreditation of e-learning programs at faculties within the University of Pris?tina.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Psychology, Multidisciplinary
Areen Alnemrat, Hesham Aldamen, Mutasim Al-Deaibes, Rami Alsharefeen
Summary: This study aims to investigate the current level of e-learning and its challenges at a major Jordanian higher education institution from the perspectives of faculty members. The analysis of survey data from 157 faculty members reveals that they have good knowledge and frequently use e-learning. Despite policy and support barriers, faculty members exhibit positive attitudes towards e-learning and are satisfied with the associated development plans and strategies. There are no significant differences between males and females in e-learning knowledge, usage, and barriers.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Tomas Hak, Svatava Janouskova, Alistair Whitby, Saamah Abdallah, Jan Kovanda
Article
Biodiversity Conservation
Tomas Hak, Svatava Janouskova, Bedrich Moldan
ECOLOGICAL INDICATORS
(2016)
Editorial Material
Green & Sustainable Science & Technology
Tove Holm, Kaisu Sammalisto, Sandra Caeiro, Marco Rieckmann, Jana Dlouha, Tarah Wright, Kim Ceulemans, Javier Benayas, Rodrigo Lozano
JOURNAL OF CLEANER PRODUCTION
(2016)
Article
Green & Sustainable Science & Technology
Jana Dlouha, Peter Glavic, Andrew Barton
JOURNAL OF CLEANER PRODUCTION
(2017)
Article
Biodiversity Conservation
T. Hak, S. Janouskova, B. Moldan, A. L. Dahl
ECOLOGICAL INDICATORS
(2018)
Article
Green & Sustainable Science & Technology
Jana Dlouha, Marie Pospisilova
JOURNAL OF CLEANER PRODUCTION
(2018)
Article
Green & Sustainable Science & Technology
Jana Dlouha, Laura Henderson, Dana Kapitulcinova, Clemens Mader
JOURNAL OF CLEANER PRODUCTION
(2018)
Article
Green & Sustainable Science & Technology
Svatava Janouskova, Tomas Hak, Bedrich Moldan
Article
Green & Sustainable Science & Technology
Svatava Janouskova, Tomas Hak, Vlastimil Necas, Bedrich Moldan
Article
Green & Sustainable Science & Technology
Jana Dlouha, Raquel Heras, Ingrid Mula, Francisca Perez Salgado, Laura Henderson
Editorial Material
Education & Educational Research
Svatava Janouskova, Martin Bilek
JOURNAL OF BALTIC SCIENCE EDUCATION
(2022)
Article
Green & Sustainable Science & Technology
Svatava Janouskova, Pavel TeplY, David Fatka, Milada Tepla, Tomas Cajthaml, Tomas Hak
Article
Green & Sustainable Science & Technology
Jana Dlouha, Katja Vintar Mally, Jiri Dlouhy
INTERNATIONAL JOURNAL OF SUSTAINABILITY IN HIGHER EDUCATION
(2017)
Article
Green & Sustainable Science & Technology
Joop de Kraker, Jana Dlouha, Laura Machackova Henderson, Dana Kapitulcinova
INTERNATIONAL JOURNAL OF SUSTAINABILITY IN HIGHER EDUCATION
(2017)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)