ecoMUVE

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Overview

EcoMUVE is a curriculum that was developed at the Harvard Graduate School of Education that uses immersive virtual environments to teach middle school students about ecosystems and causal patterns.

The goal of the EcoMUVE project is to help students develop a deeper understanding of ecosystems and causal patterns with a curriculum that uses Multi-User Virtual Environments (MUVEs). MUVEs are 3-D virtual worlds that have a look and feel similar to videogames. They are accessed via computers and, in our case, recreate authentic ecological settings within which students explore and collect information. Students work individually at their computers and collaborate in teams within the virtual world. The immersive interface allows students to learn science by exploring and solving problems in realistic environments.

EcoMUVE includes two modules, Pond and Forest; each module is a two-week inquiry-based ecosystems curriculum built around a virtual ecosystem.

This material is based on work supported by Institute of Education Sciences grant no. R305A080514, (2008-2012). Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Institute of Education Sciences.

Design

EcoMUVE Module 1: Pond

The first MUVE represents a pond ecosystem, based on Black's Nook, a freshwater pond in Cambridge, MA. Students explore the pond and the surrounding area, even walking under the water, and see different organisms in their natural habitats. Students use a micro-submarine to zoom in and see the microscopic organisms in the pond. They can learn about the organisms they find in a field guide and can construct a food web. Students collect water measurements (e.g., temperature, dissolved oxygen, phosphates, nitrates, pH, temperature), observe the weather, and make observations by exploring the terrain and developments in the neighborhood of the pond.

EcoMUVE Virtual world - runoff
EcoMUVE Virtual World - Algae in sub

Students visit the pond over a number of virtual “days” – each day the pond and surrounding area look different, people provide new information, and baseline data has altered. Students view the data over time using tables and multi-dimensional graphs. Eventually, students make the surprising discovery that, on a day in late summer, many fish in the pond have died. Students are challenged to figure out what happened to the fish. They work in teams to collect and analyze data, gather information to solve the mystery, and come to understand the complex causality of the pond ecosystem.

The EcoMUVE Curriculum
The EcoMUVE curriculum is based on national middle school science standards, on 21st century skills, and on the Understandings of Consequence Curriculum "Causal Patterns in Science" developed by Dr. Tina Grotzer at Harvard University.

EcoMUVE Module 2: Forest

The second MUVE is modeled on a hardwood forest ecosystem like those in the northern part of the United States. While exploring the plants and animals that live in the forest ecosystem, students learn about individual, population, and community levels in ecosystems. An interactive food web tool allows students to track the flow of energy through the populations in the ecosystem.

Students work as teams to visit two forested islands over a span of fifty years to see how the populations and forest structure change on each island over time. Both islands include populations of deer; one also has a population of wolves, leading to very different effects. One island has a lot of vegetation, is rich in insect diversity, and has many birds. The second island has little vegetation and seems to lack many of the organisms that depend on the understory vegetation as habitat. By monitoring changes over time, students learn that these two islands look so different due in large part to the relationship between deer and their primary predator, the grey wolf.

Virtual world screenshot: wolf in forest.

 

Screenshot of chart/graph.

Students work in teams to gather clues about the causal relationships in the Forest ecosystem by collecting population data, talking to people in the virtual world, collecting evidence from tree rings, building a food web, and exploring a decomposing tree stump.

Research

Testing of EcoMUVE in the classroom has found that students made significant gains on pre-post content survey questions related to interactions between biotic and abiotic factors, the processes of photosynthesis and respiration, and the role of decomposition in gas exchange. Analysis of a causal understanding pre-post survey revealed significant increases in students’ understanding of the importance of effects over distance in analyzing ecosystem problems. On affective measures, students showed increased understanding of what scientists do in order to study ecosystems, and a greater self-efficacy for data analysis. A study comparing students who used EcoMUVE before or after a field trip to a local pond found that students who used EcoMUVE before visiting the pond made stronger scientific explanations of measurements they took at the pond.

I am most impressed that the unit made the kids THINK and draw conclusions, there was very little teaching and more facilitating. Students truly constructed and developed their own knowledge about ecosystems, the best way to teach science...constructivist approach, loved it!
  - 7thgrade teacher after using EcoMUVE

Boys pointing at computer screen with EcoMUVE Project Team Project News EcoMOD in the 2018 STEM for all Video Showcase EcoMUVE and EcoMOBILE featured in articles online ARIS Summit 2015 and GLS

Video

EcoMUVE demo video

EcoMUVE Foodweb Tutorial

EcoMUVE Pond Tutorial

EcoMUVE Forest Tutorial

EcoMUVE LearningQuest Tutorial

Resources

To access the suite of EcoLearn resources, please visit ecolearn.projectzerohgse.com.

Project Members

Dr.Chris Dede

Timothy E. Wirth Professor in Learning Technologies
Chris Dede is the Timothy E. Wirth Professor in Learning Technologies at Harvard’s Graduate School of Education (HGSE). His fields of scholarship include emerging technologies, policy, and leadership. In 2007, he was honored by Harvard University as an...
Chris Dede

Dr.Tina Grotzer

Principal Research Scientist in Education
Tina Grotzer is a Faculty Member at the Harvard Graduate School of Education and and Principal Research Scientist at Project Zero. She directs the Causal Learning in a Complex World Lab. Her research focuses on how causal reasoning interacts with...
Tina Grotzer

Dr.Amy Kamarainen

Education and Station Coordinator for the Salmon Coast Field Station in British Columbia, Canada
Amy Kamarainen is an ecosystem scientist who applies her understanding of ecosystems science and research to the design and evaluation of technologies that aim to support science learning inside and outside of the classroom. She worked as a post-doctoral...
Amy Kamarainen

Dr.Shari Metcalf

Project Director
Shari Metcalf served as the Project Director of EcoMUVE, EcoMOBILE, EcoXPT and EcoMOD projects at the Harvard Graduate School of Education, directing research on the use of immersive technologies for K-12 ecosystem science. Her research focuses on...
Shari Metcalf

Shane Tutwiler

Assistant Professor of Educational Foundations at the University of Rhode Island
Shane Tutwiler is an Assistant Professor of Educational Foundations at the University of Rhode Island, and supports data analysis on the EcoXPT project. Shane's work encompasses educational psychology, science education, and educational technology. He...
Shane Tutweiler

Publications

2019

Metcalf, S., Kamarainen, A., Frumin, K., Vickrey, T., Grotzer, T., & Dede, C. (2019). Transitions in Student Motivation During a MUVE-Based Ecosystem Science Curriculum: An Evaluation of the Novelty Effect. Emerging Technologies in Virtual Learning Environment, 96-115.
Metcalf, S., Kamarainen, A., Frumin, K., Vickrey, T., Grotzer, T., & Dede, C. (2019). Transitions in Student Motivation During a MUVE-Based Ecosystem Science Curriculum: An Evaluation of the Novelty Effect. Emerging Technologies in Virtual Learning Environment, 96-115.

2018

Metcalf, S., Kamarainen, A., Torres, E., Grotzer, T., & Dede, C. (2018). EcoMUVE: A Case Study on the Affordances of MUVEs in Ecosystem Science Education. In Y. Qian (Ed.). Integrating Multi-User Virtual Environments in Modern Classrooms, 1-25.
Metcalf, S., Kamarainen, A., Torres, E., Grotzer, T., & Dede, C. (2018). EcoMUVE: A Case Study on the Affordances of MUVEs in Ecosystem Science Education. In Y. Qian (Ed.). Integrating Multi-User Virtual Environments in Modern Classrooms, 1-25.

2017

Grotzer, T., Metcalf, S., Tutwiler, M., Kamarainen, A., & Dede, C. (2017). Teaching the Systems Aspects of Epistemologically Authentic Experimentation in Ecosystems through Immersive Virtual Worlds. In National Association for Research in Science Teaching (NARST) Conference.
Grotzer, T., Metcalf, S., Tutwiler, M., Kamarainen, A., & Dede, C. (2017). Teaching the Systems Aspects of Epistemologically Authentic Experimentation in Ecosystems through Immersive Virtual Worlds. In National Association for Research in Science Teaching (NARST) Conference.

2016

Tutwiler, M., Grotzer, T., Thompson, M., Kamarainen, A., Metcalf, S., & Dede, C. (2016). Validation of an instrument measuring student complex causal assumptions. National Association for Research in Science Teaching (NARST) Conference.
Tutwiler, M., Grotzer, T., Thompson, M., Kamarainen, A., Metcalf, S., & Dede, C. (2016). Validation of an instrument measuring student complex causal assumptions. National Association for Research in Science Teaching (NARST) Conference.
Grotzer, T., Tutwiler, M., Kamarainen, A., Derbiszewska, K., Metcalf, S., & Dede, C. (2016). Students’ Reasoning Tendencies about the Causal Dynamics of Ecosystems and the Impacts of MUVE vs. Non-MUVE Instructional Contexts. In American Educational Research Association (AERA) Conference.
Grotzer, T., Tutwiler, M., Kamarainen, A., Derbiszewska, K., Metcalf, S., & Dede, C. (2016). Students’ Reasoning Tendencies about the Causal Dynamics of Ecosystems and the Impacts of MUVE vs. Non-MUVE Instructional Contexts. In American Educational Research Association (AERA) Conference.
Chen, J., Tutwiler, M., Metcalf, S., Kamarainen, A., Grotzer, T., & Dede, C. (2016). A multi-user virtual environment to support students’ self-efficacy and interest in science: A latent growth model analysis. Learning and Instruction, 41, 11-22.
Chen, J., Tutwiler, M., Metcalf, S., Kamarainen, A., Grotzer, T., & Dede, C. (2016). A multi-user virtual environment to support students’ self-efficacy and interest in science: A latent growth model analysis. Learning and Instruction, 41, 11-22.
Metcalf, S., Kamarainen, A., Cooke, C., Türkay, S., Grotzer, T., & Dede, C. (2016). Teacher Perceptions of the Practicality and Effectiveness of Immersive Ecological Simulations. In Utilizing Virtual and Personal Learning Environments for Optimal Learning, 22-45.
Metcalf, S., Kamarainen, A., Cooke, C., Türkay, S., Grotzer, T., & Dede, C. (2016). Teacher Perceptions of the Practicality and Effectiveness of Immersive Ecological Simulations. In Utilizing Virtual and Personal Learning Environments for Optimal Learning, 22-45.

2015

Kamarainen, A., Metcalf, S., Grotzer, T., & Dede, C. (2015). EcoMUVE: Immersive Simulations that Prepare Students for Inquiry Learning in Real World Ecosystems. In American Education Research Association (AERA) Conference.
Kamarainen, A., Metcalf, S., Grotzer, T., & Dede, C. (2015). EcoMUVE: Immersive Simulations that Prepare Students for Inquiry Learning in Real World Ecosystems. In American Education Research Association (AERA) Conference.
Kamarainen, A., Metcalf, S., Grotzer, T., & Dede, C. (2015). Immersive multi-user virtual environments support development of modeling practices in ecosystem science. In National Association for Research in Science Teaching (NARST) Conference.
Kamarainen, A., Metcalf, S., Grotzer, T., & Dede, C. (2015). Immersive multi-user virtual environments support development of modeling practices in ecosystem science. In National Association for Research in Science Teaching (NARST) Conference.

2014

Grotzer, T., Kamarainen, A., Derbiszewska, K., Powell, M., Courter, C., Tutwiler, M., Metcalf, S., & Dede, C. (2014). Using virtual worlds and augmented reality to teach causality across time and distance in ecosystem . In American Educational Research Association Conference.
Grotzer, T., Kamarainen, A., Derbiszewska, K., Powell, M., Courter, C., Tutwiler, M., Metcalf, S., & Dede, C. (2014). Using virtual worlds and augmented reality to teach causality across time and distance in ecosystem . In American Educational Research Association Conference.
Grotzer, T., Tutwiler, M., Solis, S., Derbiszewska, K., & Courter, C. (2014). Assessing the complexity in complex causal learning: discrete knowledge, perception, attention, and reasoning. In American Educational Research Association Conference.
Grotzer, T., Tutwiler, M., Solis, S., Derbiszewska, K., & Courter, C. (2014). Assessing the complexity in complex causal learning: discrete knowledge, perception, attention, and reasoning. In American Educational Research Association Conference.
Tutwiler, M., Grotzer, T., Derbiszewska, K., Kamarainen, A., Metcalf, S., & Dede, C. (2014). The Impact of Autocorrelation: Clustering and Student Outcomes in a Multi-User Virtual Environment Assessment. In National Association of Research in Science Teaching (NARST) Conference.
Tutwiler, M., Grotzer, T., Derbiszewska, K., Kamarainen, A., Metcalf, S., & Dede, C. (2014). The Impact of Autocorrelation: Clustering and Student Outcomes in a Multi-User Virtual Environment Assessment. In National Association of Research in Science Teaching (NARST) Conference.
Tutwiler, M., & Grotzer, T. (2014). Salience and selection: Using growth modeling to explore student causal data collection in a Multi-user Virtual Environment. In American Educational Research Association Conference.
Tutwiler, M., & Grotzer, T. (2014). Salience and selection: Using growth modeling to explore student causal data collection in a Multi-user Virtual Environment. In American Educational Research Association Conference.