A scoping review on climate change education
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[1] S. Lane,et al. The climate change research that makes the front page: Is it fit to engage societal action? , 2023, Global Environmental Change.
[2] Markus Leippold,et al. chatClimate: Grounding Conversational AI in Climate Science , 2023, Communications Earth & Environment.
[3] Vandana Singh. How to teach climate change in a physics classroom , 2023, Nature Reviews Physics.
[4] Isyaku Hassan,et al. Analysis of climate change disinformation across types, agents and media platforms , 2023, Information Development.
[5] Stefan Ruseti,et al. Counteracting French Fake News on Climate Change Using Language Models , 2022, Sustainability.
[6] Shupei Yuan,et al. More aggressive, more retweets? Exploring the effects of aggressive climate change messages on Twitter , 2022, New Media & Society.
[7] Jin Chen,et al. Fear emotion reduces reported mitigation behavior in adolescents subject to climate change education , 2022, Climatic Change.
[8] C. Frantz. To create serious movement on climate change, we must dispel the myth of indifference , 2022, Nature Communications.
[9] Jan Činčera,et al. What Triggers Climate Action: The Impact of a Climate Change Education Program on Students’ Climate Literacy and Their Willingness to Act , 2022, Sustainability.
[10] Bianka Plüschke-Altof,et al. Speaking of a ‘climate crisis’: Fridays for Future's attempts to reframe climate change , 2022, Innovation: The European Journal of Social Science Research.
[11] Kai Niebert,et al. The (Un)political Perspective on Climate Change in Education—A Systematic Review , 2022, Sustainability.
[12] J. Stötter,et al. Rethinking Quality Science Education for Climate Action: Transdisciplinary Education for Transformative Learning and Engagement , 2022, Frontiers in Education.
[13] Risto Kunelius,et al. Voices of a generation the communicative power of youth activism , 2021, Climatic Change.
[14] C. Brick,et al. To strike or not to strike? an investigation of the determinants of strike participation at the Fridays for Future climate strikes in Switzerland , 2021, PloS one.
[15] A. Corner,et al. Evaluating effective public engagement: local stories from a global network of IPCC scientists , 2021, Climatic Change.
[16] B. Moore,et al. Transformations for climate change mitigation: A systematic review of terminology, concepts, and characteristics , 2021, WIREs Climate Change.
[17] K. Mach,et al. Global evidence of constraints and limits to human adaptation , 2021, Regional Environmental Change.
[18] H. King,et al. The ‘web of conditions’ governing England’s climate change education policy landscape , 2021, Journal of Education Policy.
[19] J. Minx,et al. Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies , 2021, Nature Climate Change.
[20] J. Minx,et al. Systematic mapping of global research on climate and health: a machine learning review , 2021, The Lancet. Planetary health.
[21] V. Symeonidis,et al. FridaysForFuture as an Enactive Network: Collective Agency for the Transition Towards Sustainable Development , 2021, Frontiers in Education.
[22] M. McKenzie. Climate change education and communication in global review: tracking progress through national submissions to the UNFCCC Secretariat , 2021 .
[23] C. Adler,et al. Climate Change Adaptation in European Mountain Systems: A Systematic Mapping of Academic Research , 2021, Mountain Research and Development.
[24] A. Sanson,et al. Children and youth in the climate crisis , 2021, BJPsych Bulletin.
[25] Iqbal H. Sarker. Machine Learning: Algorithms, Real-World Applications and Research Directions , 2021, SN Computer Science.
[26] A. Hadjichambis,et al. Teachers’ Perceptions on Environmental Citizenship: A Systematic Review of the Literature , 2021, Sustainability.
[27] K. Aikens,et al. A comparative analysis of environment and sustainability in policy across subnational education systems , 2021 .
[28] Neal R Haddaway,et al. The Global Adaptation Mapping Initiative (GAMI): Part 1 – Introduction and overview of methods , 2021 .
[29] Kate Winfield,et al. Open Data Challenges in Climate Science , 2020, Data Sci. J..
[30] Michael L. Waskom,et al. Seaborn: Statistical Data Visualization , 2021, J. Open Source Softw..
[31] Tet Hin Yeap,et al. Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis , 2020, Frontiers in Artificial Intelligence.
[32] R. Leichenko,et al. Teaching climate change in the Anthropocene: An integrative approach , 2020, Anthropocene.
[33] C. Howarth,et al. Effectively Communicating Climate Science beyond Academia: Harnessing the Heterogeneity of Climate Knowledge , 2020, One Earth.
[34] J. Bohr. “Reporting on climate change: A computational analysis of U.S. newspapers and sources of bias, 1997–2017” , 2020, Global Environmental Change.
[35] Piers M. Forster,et al. A topography of climate change research , 2020, Nature Climate Change.
[36] I. Otto,et al. Social tipping dynamics for stabilizing Earth’s climate by 2050 , 2020, Proceedings of the National Academy of Sciences.
[37] Josef Spidlen,et al. Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets , 2019, Nature Communications.
[38] D. Istance,et al. Learning to Leapfrog: Innovative Pedagogies to Transform Education. , 2019 .
[39] M. Monroe,et al. Identifying effective climate change education strategies: a systematic review of the research , 2019 .
[40] David Rousell,et al. Education for what? Shaping the field of climate change education with children and young people as co-researchers , 2019 .
[41] Rachelle K. Gould,et al. Exploring connections between environmental learning and behavior through four everyday-life case studies , 2018, Environmental Education Research.
[42] T. C. Tai,et al. Enhancing Climate Change Research With Open Science , 2018, Front. Environ. Sci..
[43] E. Cordero,et al. The role of climate change education on individual lifetime carbon emissions , 2018, bioRxiv.
[44] Lisa Zaval,et al. Effective education and communication strategies to promote environmental engagement : The role of social-psychological mechanisms , 2017 .
[45] S. Juhola,et al. A systematic review of dynamics in climate risk and vulnerability assessments , 2017 .
[46] Shaowen Yao,et al. An overview of topic modeling and its current applications in bioinformatics , 2016, SpringerPlus.
[47] Kai Petersen,et al. Guidelines for conducting systematic mapping studies in software engineering: An update , 2015, Inf. Softw. Technol..
[48] Michael I. Jordan,et al. Machine learning: Trends, perspectives, and prospects , 2015, Science.
[49] James D. Ford,et al. Systematic review approaches for climate change adaptation research , 2015, Regional Environmental Change.
[50] Michael Röder,et al. Exploring the Space of Topic Coherence Measures , 2015, WSDM.
[51] Wolfgang Lutz,et al. Universal education is key to enhanced climate adaptation , 2014, Science.
[52] Gilles Louppe,et al. Independent consultant , 2013 .
[53] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[54] Kai Petersen,et al. Systematic Mapping Studies in Software Engineering , 2008, EASE.
[55] Lars Kai Hansen,et al. Mining the posterior cingulate: Segregation between memory and pain components , 2005, NeuroImage.
[56] A. Kollmuss,et al. Mind the Gap: Why do people act environmentally and what are the barriers to pro-environmental behavior? , 2002 .
[57] Hinrich Schütze,et al. Book Reviews: Foundations of Statistical Natural Language Processing , 1999, CL.
[58] A. Ruane,et al. SYNTHESIS REPORT OF THE IPCC SIXTH ASSESSMENT REPORT (AR6) , 2023 .
[59] J. Cook. Understanding and Countering Misinformation About Climate Change , 2019, Advances in Media, Entertainment, and the Arts.
[60] J. Tracey,et al. SDG 13 Climate Action , 2019, Science for Sustainable Societies.
[61] M. Kubát. An Introduction to Machine Learning , 2017, Springer International Publishing.
[62] E. Hertwich,et al. The climate mitigation gap : education and government recommendations miss the most effective individual actions , 2017 .
[63] N. Nakicenovic,et al. Summary for policymakers , 2012 .
[64] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[65] John C. Donovan,et al. The policy makers , 1970 .