34 results on '"Grant, Will J."'
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2. Prose, panels and people: the impact of comic presentation style on procedural information learning.
3. Influencing factors and empowering decision-making
4. A Machine Learning Analysis of the Non-academic Employment Opportunities for Ph.D. Graduates in Australia
5. 'Back-Stage' Dissent: Student Twitter Use Addressing Instructor Ideology
6. “THE RUSSIANS ARE HACKING MY BRAIN!” investigating Russia's internet research agency twitter tactics during the 2016 United States presidential campaign
7. The Role of Student Academic Beliefs in Perceptions of Instructor Ideological Bias
8. Recognising the anxiogenic environment as a driver of youth anxiety
9. Farmer innovativeness and hybrid rice diffusion in Bangladesh
10. Farmers 'Attitudes Towards Cultivating Hybrid Rice in Bangladesh
11. How prominent science communicators on YouTube understand the impact of their work
12. Types of evidence cited in Australian Government publications
13. What do we mean when we talk about the moral hazard of geoengineering?
14. Analysing the types of evidence used by Australian federal parliamentary committees
15. Not just a pretty picture: Scientific fact visualisation styles, preferences, confidence and recall
16. sj-pdf-1-ivi-10.1177_14738716211027587 – Supplemental material for Not just a pretty picture: Scientific fact visualisation styles, preferences, confidence and recall
17. Analysing the types of evidence used by Australian federal parliamentary committees.
18. A Good Story Well Told: Storytelling Components That Impact Science Video Popularity on YouTube
19. #JunkScience: Investigating pseudoscience disinformation in the Russian Internet Research Agency tweets
20. Learning from the Climate Change Debate to Avoid Polarisation on Negative Emissions
21. I’ll See It When I Believe It: Motivated Numeracy in Perceptions of Climate Change Risk
22. PostAc : A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings
23. I'll See It When I Believe It: Motivated Numeracy in Perceptions of Climate Change Risk.
24. Learning from the Climate Change Debate to Avoid Polarisation on Negative Emissions.
25. Exploring the YouTube science communication gender gap: A sentiment analysis
26. A Machine Learning Analysis of the Non-academic Employment Opportunities for Ph.D. Graduates in Australia
27. “Back-stage” dissent: student Twitter use addressing instructor ideology
28. Exploring the YouTube science communication gender gap: A sentiment analysis.
29. Science communication on YouTube: factors that affect channel and video popularity
30. The role of student academic beliefs in perceptions of instructor ideological bias
31. Social evidence of a changing climate: Google Ngram data points to early climate change impact on human society
32. Science communication on YouTube: Factors that affect channel and video popularity
33. The role of student academic beliefs in perceptions of instructor ideological bias.
34. Science communication on YouTube: Factors that affect channel and video popularity.
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