| Literature DB >> 23926416 |
Yvonne Klisch1, Leslie M Miller, Shu Wang, Joel Epstein.
Abstract
This study investigated the knowledge gains and attitude shifts attributable to a unique online science education game, Uncommon Scents. The game was developed to teach middle school students about the biological consequences of exposure to toxic chemicals in an environmental science context, as well as the risks associated with abusing these chemicals as inhalants. Middle school students (n = 444) grades six through eight participated in the study consisting of a pre-test, three game-play sessions, and a delayed post-test. After playing the game, students demonstrated significant gains in science content knowledge, with game usability ratings emerging as the strongest predictor of post-test content knowledge scores. The intervention also resulted in a shift to more negative attitudes toward inhalants, with the most negative shift occurring among eighth grade students and post-test knowledge gains as the strongest predictor of attitude change across all grade levels. These findings suggest that the environmental science approach used in Uncommon Scents is an efficacious strategy for delivering both basic science content and influencing perceived harm relating to the inhalation of toxic chemicals from common household products.Entities:
Keywords: Attitudes toward inhalants; Body pollution; Environmental education; Game-based learning; Science-based drug education; Toxic chemicals; Video game
Year: 2012 PMID: 23926416 PMCID: PMC3733386 DOI: 10.1007/s10956-011-9319-y
Source DB: PubMed Journal: J Sci Educ Technol ISSN: 1059-0145 Impact factor: 2.315
Goals, activities, and intended conclusions from each episode of Uncommon Scents
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| Goal | Investigate a spill in a chemical plant that produces organic solvents. |
| Activities | • Gather information about the health effects of exposure to organic solvents. |
| • Complete a safety training on how to avoid exposure to organic solvents. | |
| • Correctly identify the spilled chemical as the organic solvent toluene. | |
| • Connect the symptoms and presence of toluene in the blood in affected workers to the chemical exposure with epidemiologic testing. | |
| Conclusion | A worker had toluene in her blood and displayed symptoms typical for exposure to organic solvents, but was NOT exposed to the spill. She is identified as the “outlier”. |
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| Goal | Follow the case of the outlier. |
| Activities | • Learn about hazardous household products, label warning signs, and how to use, store, and dispose of these products safely. |
| • Sort products based on their chemical composition. | |
| • Perform tests for memory and selective attention that illustrate the effects of exposure to toxic paints and glues on brain functions. | |
| Conclusion | The outlier may have purposely inhaled toxic chemicals. |
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| Goal | Gather scientific facts about the health consequences of inhaling toxic chemicals. |
| Activities | • Analyze magnetic resonance images of the brain for effects of long-term inhalant abuse. |
| • Conduct an experiment to determine behavior of mice after exposure to toluene and learn about the important role of animal research. | |
| • Perform an experiment that illustrates sudden sniffing death syndrome. | |
| • Construct an informational website about the dangers of exposure to toxic chemicals in household products based on what has been learned. | |
| Conclusion | Exposure to organic solvents can cause brain atrophy and nervous system damage, as well as sudden death due to heart failure. |
Fig. 1Screen shot of a check for understanding during a virtual experiment in Uncommon Scents. In the experiment, the player exposes mice to air (control group) or toluene (experimental group), respectively, and observes their burying behavior (López-Rubalcave et al. 2000)
Test scores (mean, SD) and correlations between study variables (1–6.). Reliabilities (Cronbach’s α) on the diagonal
| Mean | SD | 1. | 2. | 3. | 4. | 5. | 6. | |
|---|---|---|---|---|---|---|---|---|
| 1. Pre-test content knowledge | 13.60 | 4.05 | (.61) | |||||
| 2. Post-test content knowledge | 17.63 | 6.53 | .674** | (.86) | ||||
| 3. Pre-test inhalants attitudes | 1.79 | 0.60 | .307** | .306** | (.85) | |||
| 4. Post-test inhalants attitudes | 1.65 | 0.625 | .347** | .474** | .585** | (.88) | ||
| 5. Satisfaction | 3.75 | 0.85 | .073 | .148** | .222** | .216** | (.83) | |
| 6. Game usability | 3.60 | 0.71 | .141** | .247** | .169** | .206** | .462** | (.59) |
** p < .01; n = 444
Fig. 2Interaction between attitudes toward inhalants and grade. 1 = most negative and 5 = most positive attitude toward inhalants. Grades six and seven combined pre-test: mean 1.76 (SD 0.61), post-test: mean 1.69 (SD 0.65). Grade eight pre-test: mean 1.88 (SD 0.57), post-test: mean 1.54 (SD 0.54)
Predicting post-test content knowledge scores controlling for pre-test content knowledge
| Predictor | ΔR2 | β |
|---|---|---|
| Step 1 | .45** | |
| Pre-test content knowledge | .67** | |
| Step 2 | .03** | |
| Pre-test content knowledge | .65** | |
| Satisfaction | .04 | |
| Game usability | .14** | |
| Total R2 | .48** |
** p < .01; n = 444
Predicting post-test attitudes toward inhalants controlling for pre-test content knowledge and pre-test attitudes
| Predictor | ΔR2 | β |
|---|---|---|
| Step 1 | .37** | |
| Pre-test inhalants attitudes | .53** | |
| Pre-test content knowledge | −.19** | |
| Step 2 | .07** | |
| Pre-test inhalants attitudes | .49** | |
| Pre-test content knowledge | .04 | |
| Post-test content knowledge | −.35** | |
| Total R2 | .44** |
** p < .01; N = 444