Living the DReaM: The interrelations between statistical, scientific and nature of science uncertainty articulations through citizen science

[1]  D. Ben-Zvi,et al.  Students' actual purposes when engaging with a computerized simulation in the context of citizen science , 2022, Br. J. Educ. Technol..

[2]  Dani Ben-Zvi,et al.  Informal statistical models and modeling , 2021, Mathematical Thinking and Learning.

[3]  R. Korotev Method , 1966, Understanding Religion.

[4]  Dina Tsybulsky Self-Reported Reasons for Participating in Pro-environmental Citizen Science Activities: A Case Study of Butterfly Monitoring in Israel , 2020, Frontiers in Education.

[5]  Dani Ben-Zvi,et al.  Involving schoolchildren in radon surveys by means of the "RadonTest" online system. , 2020, Journal of environmental radioactivity.

[6]  B. Fishbain,et al.  Science literacy in action: understanding scientific data presented in a citizen science platform by non-expert adults , 2020 .

[7]  Michael P. Clough,et al.  Nature of Science in Science Instruction: Meaning, Advocacy, Rationales, and Recommendations , 2020 .

[8]  A. Baram‐Tsabari,et al.  Engagement and Communication Features of Scientifically Successful Citizen Science Projects , 2020 .

[9]  V. Akerson,et al.  Teaching and Learning Nature of Science in Elementary Classrooms , 2019, Science & Education.

[10]  R. Kays,et al.  Citizen Science in Schools: Students Collect Valuable Mammal Data for Science, Conservation, and Community Engagement , 2018, BioScience.

[11]  J. Camhi,et al.  The Effect of Field Trips to University Research Labs on Israeli High School Students’ NOS Understanding , 2018 .

[12]  Dina Tsybulsky Comparing the Impact of Two Science-as-Inquiry Methods on the NOS Understanding of High-School Biology Students , 2018, Science & Education.

[13]  D. Ben-Zvi,et al.  Statistical modeling to promote students’ aggregate reasoning with sample and sampling , 2018, ZDM.

[14]  R. Bonney,et al.  A Framework for Articulating and Measuring Individual Learning Outcomes from Participation in Citizen Science , 2018, Citizen Science: Theory and Practice.

[15]  Dani Ben-Zvi,et al.  Innovations in statistical modeling to connect data, chance and context , 2018, ZDM.

[16]  Dani Ben-Zvi,et al.  The role of model comparison in young learners’ reasoning with statistical models and modeling , 2018, ZDM.

[17]  Vasiliki Laina,et al.  Middle school students’ reasoning about data and context through storytelling with repurposed local data , 2018, ZDM.

[18]  Antonio García-Carmona,et al.  The Nature of Scientific Practice and Science Education , 2018, Science & Education.

[19]  Randall E. Groth Unpacking Implicit Disagreements Among Early Childhood Standards for Statistics and Probability , 2018 .

[20]  Joan Garfield,et al.  International handbook of research in statistics education , 2018 .

[21]  Z. Nikiforidou Probabilistic Thinking and Young Children: Theory and Pedagogy , 2018 .

[22]  Andee Rubin,et al.  Learning About Statistical Inference , 2018 .

[23]  J. Camhi,et al.  High-school students in university research labs? Implementing an outreach model based on the ‘science as inquiry’ approach , 2017 .

[24]  Dani Ben-Zvi,et al.  Students' Emergent Articulations of Statistical Models and Modeling in Making Informal Statistical Inferences. , 2017 .

[25]  Renia Gasparatou Scientism and Scientific Thinking , 2017 .

[26]  Jessica L. Cappadonna,et al.  Citizen Science Terminology Matters: Exploring Key Terms , 2017, Citizen Science: Theory and Practice.

[27]  R. Peels Ten reasons to embrace scientism. , 2017, Studies in history and philosophy of science.

[28]  Kristine F. Stepenuck,et al.  Citizen science can improve conservation science, natural resource management, and environmental protection , 2017 .

[29]  Kostas Kampourakis The “general aspects” conceptualization as a pragmatic and effective means to introducing students to nature of science , 2016 .

[30]  Rebecca Jordan,et al.  Citizen Science as a Distinct Field of Inquiry , 2015 .

[31]  Derek Hodson,et al.  Learning Science, Learning about Science, Doing Science: Different goals demand different learning methods , 2014 .

[32]  D. Ben-Zvi,et al.  STUDENTS ’ REASONING ABOUT UNCERTAINTY WHILE MAKING INFORMAL STATISTICAL INFERENCES IN AN “ INTEGRATED PEDAGOGIC APPROACH ” , 2014 .

[33]  ,et al.  Science and Scientism in Popular Science Writing , 2014 .

[34]  David A. Gillam,et al.  A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas , 2012 .

[35]  H. Hayne,et al.  Social Evaluation or Simple Association? Simple Associations May Explain Moral Reasoning in Infants , 2012, PloS one.

[36]  Dani Ben-Zvi,et al.  Students’ emergent articulations of uncertainty while making informal statistical inferences , 2012 .

[37]  Helen E. Roy,et al.  Understanding citizen science and environmental monitoring: final report on behalf of UK Environmental Observation Framework , 2012 .

[38]  Dani Ben-Zvi,et al.  The Reasoning Behind Informal Statistical Inference , 2011 .

[39]  R. Siegler Microgenetic Analyses of Learning , 2007 .

[40]  J. Schnoor,et al.  Citizen Science , 2017 .

[41]  Zahava Scherz,et al.  How to Change Students' Images of Science and Technology. , 2006 .

[42]  Norman G. Lederman,et al.  Developing views of nature of science in an authentic context: An explicit approach to bridging the gap between nature of science and scientific inquiry , 2004 .

[43]  Arthur Bakker,et al.  Design research in statistics education : on symbolizing and computer tools , 2004 .

[44]  J. Parkinson Learning about the Nature of Science , 2004 .

[45]  Alexander Pollatsek,et al.  Data Analysis as the Search for Signals in Noisy Processes. , 2002 .

[46]  Refractor Uncertainty , 2001, The Lancet.

[47]  Paul R. Pintrich,et al.  What Is Epistemological Thinking and Why Does It Matter , 2001 .

[48]  William F. McComas,et al.  THE PRINCIPAL ELEMENTS OF THE NATURE OF SCIENCE: DISPELLING THE MYTHS , 1998 .

[49]  D. S. Moore,et al.  New Pedagogy and New Content: The Case of Statistics , 1997 .

[50]  Luciano Meira,et al.  The Microevolution of Mathematical Representations in Children's Activity , 1995 .

[51]  R. Stake The art of case study research , 1995 .

[52]  M. R. Matthews Science teaching : the role of history and philosophy of science , 1994 .

[53]  M. Braga,et al.  Exploratory Data Analysis , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[54]  A. Tversky,et al.  Variants of uncertainty , 1982, Cognition.

[55]  Patrick Murphy,et al.  What Is Statistics , 2014 .

[56]  A. F. Chalmers,et al.  What Is This Thing Called Science , 1976 .

[57]  K. Popper,et al.  Conjectures and refutations;: The growth of scientific knowledge , 1972 .

[58]  K. Popper,et al.  Conjectures and Refutations , 1963 .