iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…As environmental sciences increasingly rely on complex datasets, machine learning (ML) has become crucial for identifying patterns and relationships. …”
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Editorial: Air quality and biosphere-atmosphere interactions by Yves Philippe Rybarczyk

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Influencing Reinforcement Learning through Natural Language Guidance by Tasmia Tasrin, Md Sultan Al Nahian, Habarakadage Perera, Brent Harrison

“…Interactive reinforcement learning (IRL) agents use human feedback or instruction to help them learn in complex environments. …”
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LLM-Guided Reinforcement Learning for Interactive Environments by Fuxue Yang, Jiawen Liu, Kan Li

“…We propose herein <b>LLM-Guided Reinforcement Learning (LGRL)</b>, a novel framework that leverages large language models (LLMs) to decompose high-level objectives into a sequence of manageable subgoals in interactive environments. …”
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Leveraging Automated Machine Learning for Environmental Data‐Driven Genetic Analysis and Genomic Prediction in Maize Hybrids by Kunhui He, Tingxi Yu, Shang Gao, Shoukun Chen, Liang Li, Xuecai Zhang, Changling Huang, Yunbi Xu, Jiankang Wang, Boddupalli M. Prasanna, Sarah Hearne, Xinhai Li, Huihui Li

Subjects: “…environmental data…”
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Machine Learning-Driven Identification of Key Environmental Factors Influencing Fiber Yield and Quality Traits in Upland Cotton by Mohamadou Souaibou, Haoliang Yan, Panhong Dai, Jingtao Pan, Yang Li, Yuzhen Shi, Wankui Gong, Haihong Shang, Juwu Gong, Youlu Yuan

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The differential impact of interaction, environment and learner cognitive factors on online learning outcomes: Insights from a European transition country by Sidita Dibra, Blendi Gerdoçi, Megi Çali

Subjects: “…perceived learning…”
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THE USE OF INTERACTIVE LEARNING TECHNOLOGIES IN THE PROCESS OF ECOLOGICAL TRAINING OF STUDENTS by O. Vasina, Y. Blinokhvatova, A. Blinokhvatov

“…The organization of the educational process in terms of competence-based approach provided by the Federal state standards of higher education requires the teacher to review the structure, forms of organization of activities, principles of interaction of subjects of the learning process. Interactive technologies that combine problem learning, information and communication technologies, and project methods are becoming promising learning technologies. …”
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An interactive art activity to promote student reflection and learning about host-microbe interactions by Camila Souza Beraldo

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STUDI PENDAHULUAN: PENGEMBANGAN E-LKPD BERORIENTASI ESD UNTUK MENINGKATKAN LITERASI LINGKUNGAN SISWA KELAS VI SD by Nadiah Tri Rahma, Suratmi, Dwi Cahaya Nurani

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Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

“…In the context of environmental responsibility, the case for active social learning as a critical pedagogy is the need to find ways of interacting that bring about necessary changes in situations where there is much we don't know and need interactions with others to find out, with an emphasis on the co-creation of knowledge. …”
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Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

“…In the context of environmental responsibility, the case for active social learning as a critical pedagogy is the need to find ways of interacting that bring about necessary changes in situations where there is much we don't know and need interactions with others to find out, with an emphasis on the co-creation of knowledge. …”
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Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

“…In the context of environmental responsibility, the case for active social learning as a critical pedagogy is the need to find ways of interacting that bring about necessary changes in situations where there is much we don't know and need interactions with others to find out, with an emphasis on the co-creation of knowledge. …”
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Machine Learning Model for Predicting Net Environmental Effects by Sellappan Palaniappan, Rajasvaran Logeswaran, Shapla Khanam, Zhang Yujiao

“…This study presents a proof-of-concept machine learning model for predicting net environmental effects using synthetic data. …”
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Enhancing student engagement and learning outcomes in life sciences: implementing interactive learning environments and flipped classroom models by Feng-Zhi Chen, Li-An Chen, Cai-Chieh Tseng, Ching Hua Pai, Kai-En Tsai, En-Ci Liang, Yi-Fan Chen, Tai-Lin Chen, Shin-Yi Liu, Pei-Chih Lee, Kuo-Chu Lai, Betty Revon Liu, Khadija E. Fouad, Chi-Wei Chen

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Closing the educational gap for first generation learners: an exploratory study of interactive learning for underprivileged children in India by Swaralipi Roy Chowdhury Samanta, María Victoria Soulé

“…This study, by applying a mix-methods approach, explores the potential of an interactive learning prototype of a website, in increasing engagement, retention and learning level of grade 4 students who are first generation students. …”
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Stomata morphology measurement with interactive machine learning: accuracy, speed, and biological relevance? by Tomke S. Wacker, Abraham G. Smith, Signe M. Jensen, Theresa Pflüger, Viktor G. Hertz, Eva Rosenqvist, Fulai Liu, Dorte B. Dresbøll

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Projection and assessment of future droughts in Iowa: developing a machine learning model and an interactive application by Ingrid Cintura, Antonio Arenas

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Examining peptide–gold nanoparticle interactions through explainable machine learning by Malak Gamal Abdelmeguid, Jose Isagani B. Janairo, Nishanth G. Chemmangattuvalappil

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Engaging Learning for Environmental Awareness: Integrating Virtual Reality in Ecological Citizenship Education by Dedy Ari Nugroho, Wahyu Wahyu, Asep Rudi Casmana

“…This study examines the application of VR-based learning media in Ecological Citizenship education, with a focus on enhancing students' environmental awareness. …”
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