Leela Velautham
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Leela Velautham has a total of 1 co-authors. Here are the top co-authors by number of shared publications:
- Michael Andrew Ranney
Berkeley School of Education, University of California, Berkeley, 2121 Berkeley Way, Berkeley, CA 94720, USA
1 shared publication
Latest Publications
- Open Access
- 29 May 2026
- Published by MDPI AG in Education Sciences
- Vol. 16 (6) , 853
Using Statistics to Increase Both Hope About Solving Climate Change and Acceptance/Concern About Global Warming
Hope is an important emotion for fostering action regarding global warming (GW). This article’s experiment utilizes (a) a cognitive hope theory that combines agency and pathways-thinking and (b) prior (numerically driven inferencing) research on how estimating germane quantities, followed by surprising numeric feedback, impacts one’s beliefs and decision-making. We designed and assessed a short intervention that focally had 226 Americans estimate quantities regarding the impact/uptake of three GW solutions: sustainable (e.g., solar) electrification, energy efficiency (e.g., recycling), or reduced meat consumption. Changes in climate-change hope and GW beliefs represented the intervention’s effectiveness. (Nationalism, etc., were also assessed.) The intervention was generally successful—statistically significantly increasing participants’ (1) hope about humanity’s ability to tackle climate change and (2) GW acceptance/concern. Our results demonstrate climate-change hope’s close relationship with various constructs (particularly, acceptance of GW’s reality)—and that central facts can quickly modify such hope. We further replicated findings that core/surprising statistics can spawn environmental conceptual changes. Our results additionally support earlier-identified phenomena that people revise GW beliefs upon encountering salient, valid, surprising information. The findings (a) increase our laboratory’s (now 12) ways in which brief materials will boost GW acceptance/concern, and (b) imply that GW messaging should balance climate-dangers explications with hopeful solutions.
- 29 May 2026
- Published by MDPI AG in Education Sciences
- Vol. 16 (6) , 853
Open AccessUsing Statistics to Increase Both Hope About Solving Climate Change and Acceptance/Concern About Global Warming
Hope is an important emotion for fostering action regarding global warming (GW). This article’s experiment utilizes (a) a cognitive hope theory that combines agency and pathways-thinking and (b) prior (numerically driven inferencing) research on how estimating germane quantities, followed by surprising numeric feedback, impacts one’s beliefs and decision-making. We designed and assessed a short intervention that focally had 226 Americans estimate quantities regarding the impact/uptake of three GW solutions: sustainable (e.g., solar) electrification, energy efficiency (e.g., recycling), or reduced meat consumption. Changes in climate-change hope and GW beliefs represented the intervention’s effectiveness. (Nationalism, etc., were also assessed.) The intervention was generally successful—statistically significantly increasing participants’ (1) hope about humanity’s ability to tackle climate change and (2) GW acceptance/concern. Our results demonstrate climate-change hope’s close relationship with various constructs (particularly, acceptance of GW’s reality)—and that central facts can quickly modify such hope. We further replicated findings that core/surprising statistics can spawn environmental conceptual changes. Our results additionally support earlier-identified phenomena that people revise GW beliefs upon encountering salient, valid, surprising information. The findings (a) increase our laboratory’s (now 12) ways in which brief materials will boost GW acceptance/concern, and (b) imply that GW messaging should balance climate-dangers explications with hopeful solutions.