Computer Simulations to Support Science Instruction and Learning: A critical review of the literature

By Lara K. T. Smetana, Randy L. Bell. 2012

599 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Education

View Paper: https://www.semanticscholar.org/paper/e111e0b2004553a1a7e46ec199f7bf90972e0719

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Developmental and Educational Psychology

1. Guido Makransky
2. Patricia A. Alexander
3. Richard E. Mayer
4. Lau Lilleholt
5. Tim N. Höffler
6. Steve Croker
7. Hendrik Härtig
8. Martin Schwichow

In Education

1. Guido Makransky
2. Tim N. Höffler
3. Patricia A. Alexander
4. Lau Lilleholt
5. Steve Croker
6. Hendrik Härtig
7. Martin Schwichow
8. Richard E. Mayer

Citations in the corpus

• The promise and challenges of generative AI in education (2024, unknown): “…learning environments and follows a constructivist approach infused with AI to engage with concepts in a self-directed manner; the focus is on problem solving within simulations and virtual labs (Smetana and Bell 2012), microworlds (Mavri-kis et al. 2013), or other contexts (Hannafin 1995).”
• Teaching the control-of-variables strategy: A meta-analysis (2016, background): “Recent research shows that training tasks have a positive impact on students’ CVS achievement but that it does not matter if the tasks are virtual or physical (Klahr et al., 2007; Smetana & Bell, 2012; Triona & Klahr, 2003).”
• Handbook of Research on Learning and Instruction (2011, background): “Collectively, the impact of perceived competence on persistence, a precursor of improvement in performance, can be significant.”
• A structural equation modeling investigation of the emotional value of immersive virtual reality in education (2018, result): “…investigating the efficiency of simulations have shown that overall, the use of simulations results in at least as good or better cognitive outcomes and attitudes toward learning than do more traditional teaching methods (Bayraktar 2000; Rutten et al. 2012; Smetana and Bell 2012; Vogel et al. 2006).”
• Enhancing learning and engagement through embodied interaction within a mixed reality simulation (2016, background): “…that interactive computer simulations have properties that can effectively facilitate learning and engagement in science (D’Angelo, Rutstein, Harris, Bernard, Borokhovski, & Haertel, 2014; National Research Council, 2011; Rutten, van Joolingen, & van der Veen, 2012; Smetana & Bell, 2012).”