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LESSON
PLAN: Water Quality in the Greenhills Stream |
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DESCRIPTION: During the activities which are designed to teach our students how to use the specific probes, they discover: the importance of each test, the standards of water quality, the reasons why we need to perform these tests, the possible pollutants, how the pollutants might enter the stream, and the possible consequences for the stream as a result of these pollutants. A part of the stream is divided into 8 sections that a group of 2 students will study throughout the year. They select three data points based on a variety of reasons that they will use to collect data. Students then go to the stream and make observations, collect information, and begin to analyze their data, in context. Because equipment can occasionally be troublesome, students also learn to trouble shoot technological problems on the spot. Once students collect their data they return to the class where they prepare to share their data, make graphs and analyze their findings with their stream partners. By collecting water quality data through fall, winter and spring students are able to observe how human activity and seasonal changes can and do impact the water quality throughout the year. ACTIVITIES: (Note: This is a unit plan that may cover several days to several weeks. Not all of the following activities/standards will appear in the video clips used.)
TOOLS & RESOURCES: (Our Middle School science classrooms are also wired for direct Internet access.)
eProbe Calibrate. MSC. Working Knowledge. Available: http://www.krev.com Digital Camera. Olympus. Available: http://www.olympus.com Model-Builder by the University of Michigan. Available: http://www.modelbuilder.org/ Microsoft Excel. Microsoft. Available: http://www.microsoft.com Netscape Communicator to construct Web Pages. Netscape. Available: http://www.netscape.com
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Digital Cameras. Olympus. Available: http://www.olympus.com 8 eMates. Apple. No longer available: http://www.apple.com 8 iMacs in our classroom. Apple. No longer available: http://www.apple.com 8 sets of Vernier Probes. Vernier. Available: http://www.vernier.com
Books: Water Studies for Younger Folks by The Global Rivers Environmental Education Network. Green. Available: http://www.earthforce.org/green Teacher-Created 7th Grade Course Pack ASSESSMENT:
CREDITS: Ann
Novak, Greenhills School, Ann Arbor, Michigan
Technology
Support: Elliott Soloway, Professor of
Engineering, Technology at University of Michigan, Ann Arbor, Michigan Bob Tinker, President of Concord
Consortium (Educational Technology Lab) Concord, Massachusetts TIMELINE & COURSE
OUTLINE: Beginning in September and running through mid November, we use benchmark lessons to introduce students to key ideas including science concepts, technology tools, the process of inquiry, and collaboration. This is the first time most of our students are exposed to extended inquiry where they will collect and synthesize data over time. We help our students learn the process of inquiry through teacher-designed investigations and activities that model the process. Although teacher-designed, these activities model good scientific inquiry. We use our role as teachers to carefully structure each experience so, through thoughtfully planned interactions with our students, they become co-designers of these activities. Through our questioning and discussion techniques, our students learn to ask relevant questions, research information, design and carry out experiments including making predictions, writing sample procedures, creating data tables, and formulating analysis strategies. Once students have had several experiences, we transition from teacher-designed activities to student-designed investigations. Students also create artifacts (water quality booklets) that represent their learning. Once they have experienced their initial stream data collection experience, we collect data again in the winter and in the spring. During each of these times we will take 2 weeks to engage in the process of inquiry. At the time of the filming it just so happened that our students were preparing to collect their spring chemical and physical data. This activity usually takes 2 days to collect all their physical data (qualitative data) and their five chemical tests (quantitative data), pH, temperature, conductivity, dissolved oxygen, and turbidity. What I had the students do was take 3 of their tests and then collect some of their physical data if they had time. Since there are 5 classes of 7th grade science, all classes needed to go out throughout the day. We have 45 minute classes and students work very efficiently during this time. The calibration of the pH probe was reenacted. My students completed this activity in about 45 minutes. I briefly had students explain why we need to calibrate our probes at the start. It usually takes us 45 minutes to calibrate one to two probes. When I initially introduce this activity, we spend a day discussing the importance of caring for equipment, calibration, and why this is important for us to do before we collect data. The day before the taping, students accessed the pictures they took the previous day with digital cameras by file-sharing between the iMacs (the computers they use) and my computer, a G3. Students were then to make predictions about the quality of the stream for each of their tests by looking at the pictures they took the day before. We were hoping that when they went to view the stream to make predictions, they would take pictures that were of significance to them. Because we share equipment among five classes, some students needed to take them and did not have a good amount of time to look at their pictures. So, I had them revisit these pictures and asked the partners to explain which picture helped them reached the predictions they made and to address if and how these pictures helped them make stronger predictions. This activity also took 1 class period of 45 minutes. In the last activity students demonstrated use of a new software program they have been introduced to Model-Builder. This activity allows students to construct models of their understanding of the concepts we learn surrounding water quality. When the students were first introduced to the program it took them only two days to build the most complex models. On the third day students shared their models with the class. It was so interesting for the students to see how many different models students in one class could create around the same topic. To narrow the time down, I had students choose one of the water quality tests they had already collected data for through the three seasons. Their model needed to address if and how the seasons impact the water quality readings of one of those tests. Within one class period they were able to build and share a small model. COMMENTS: We are fortunate to have a stream on our school property that is about 50 meters from our building. This small stream runs into a larger stream that then flows into the Huron River, a major source of drinking water for our community as well as many surrounding communities. Our school stream is part of many of our students’ neighborhood with some of our students living in condominiums that directly adjoin the stream. For these reasons, “How clean is the water behind our school?” is an important and meaningful question for our students to investigate. Because of this opportunity, we have countless “aha” experiences out in the field and in our classrooms. I will outline one of them below. When our students go to the stream they collect both physical and chemical data to access the quality of its water. They collect physical data to measure the depth, width, and length of the stream. They also record observations for stream flow and vegetation, which among other observations may influence and explain their chemical data. The chemical data they collect includes temperature, dissolved oxygen, conductivity, and pH. Technology not only provides students with the probes to collect specific data, but also in addition, has the capabilities to store and visualize the data in tables and provides opportunities for the data to be immediately graphed. This allows students to make initial interpretations of their results in the field where they can decide if the collection process needs to be repeated. Collecting field data helps our students gain ownership of their work that we have not previously experienced. Because students view collected data as meaningful, they become invested in analyzing how the quality of their stream section compares to the others. We see evidence of this in the field and classroom when students ask the groups on either side to share their readings. They do this to check if their recorded values are consistent with their neighbors. If students find that their data differs from other groups, they desperately look for reasons to defend their data. On one occasion, students who were collecting data mid-stream, noticed that their water temperature was several degrees cooler than the groups next to them. Because the technology allows students to view and analyze data they receive immediately, the students thought that their data could be faulty. They first checked their equipment and then began to search for additional information that may explain this difference. Students began looking for pipes above and underground that could bring additional water to their part of the stream. After a few minutes, they uncovered a spout of cold water flowing quickly from under the stream bank, which was concealed by a grassy over hang. They had not observed this in the previous field collection and noted that the depth of the water was lower now than before. They now felt that the data they collected was accurate, and were very pleased that they could support their findings. This increase in ownership of data engages students in interpreting data. Students also learn the implications of conductivity data. Students discover that although they are able to see the bottom of the stream, it may contain dissolved substances, which could cause problems for the health of their stream. In the fall, students conclude that fertilized lawns in nearby condominiums cause high conductivity readings. When students consider reasons for higher conductivity readings in the winter than in the fall, students scrutinize their data. As they review their observations of physical data, students note an ice storm several days before the winter collection. With the ice storm comes the use of large quantities of salt on the roads. It is exciting as students also look at their surroundings to observe a parking lot and a road 40 feet from the stream as a possible source explaining the high levels of dissolved substances recorded by the conductivity probe. Students conclude that lower levels of dissolved substances result from an increase in water depth, due to heavy rains experienced in recent weeks. Each time our students go to the stream and study it in context, we marvel at the level of engagement and the depth of understanding they gain from this powerful experience. We are convinced this is the way to learn and feel so fortunate to be able to provide our students with this wonderful opportunity and watch as they take full advantage of this challenge. Technology Resources: We work
hard to ensure that our equipment remains in good working order. Our students are careful when
handling the equipment, however, as the equipment ages we are faced with replacement issues. As a
result, we try to keep informed of new learning technologies, which would allow our students to enjoy
the benefits that our current technology has afforded them. We do this by attending conferences and
talking with people in education and in technology that are aware of new learning technologies. As
we search for equipment we will consider price, durability, dependability and versatility among other
criteria.
Teaching Strategy: Six years ago we began to develop a project-based approach and attended project-based institutes at The University of Michigan. We continued to attend work sessions during the next several years. We worked with Professors Joe Krajcik and Ron Marx from the School of Education. As teachers, we collaborate quite closely to develop curriculum and to enhance our curriculum by incorporating technology tools where appropriate. The goal of our 7th and 8th grade science program focuses on facilitating students to develop in-depth and integrated understandings of fundamental science concepts and science process skills within the context of inquiry. Using a project-based approach, several units are explored each year that incorporate science across several science disciplines. We structure our classrooms so that students ask important and meaningful questions and use technology tools to investigate these questions. Each unit begins with a driving question that provides students with a real life context. Our students engage in inquiry through activities that investigate this and related sub-questions. Learners find solutions to these questions through engagement in long term investigations and collaboration with others. In the process they develop in-depth and integrated understanding of science concepts and process skills. By this we mean our students see relationships among ideas, to find underlying reasons for these relationships, to use these ideas to explain and predict phenomena, and to apply their understandings to new situations. We also believe our students become better thinkers and problem-solvers. This approach is consistent with the National Science Education Standards (1996) and with the American Association for the Advancement of Science benchmarks (1993). Our program is based on inquiry. However, getting our students to be scientists initially takes much support from us. This is the first time most of our students are exposed to extended inquiry where they will collect and synthesize data over time. We help our students learn the process of inquiry through teacher-designed investigations and activities that model the process. They learn to ask good questions and research pertinent background information using a variety of resources (library and Internet, experts in the community, their science books and teacher handouts). They develop sound predictions based on this research. They learn the importance of creating a procedure that controls variables and carefully addresses the question to be studied. Students are introduced to several data collection and analysis techniques that incorporate technology tools where appropriate. We support students as they look for patterns and relationships in their data. They also gain experience in drawing conclusions after logical and critical reflection of all the information which is important to providing an answer to their question. They share this information with each other throughout the process and present their findings at the end of the investigation. They learn that the process of inquiry often leads to new questions. Although it is a collaborative process the project incorporates individual components as well. Students work together during much of the process including data collection. They share their ideas about predictions but each student writes his or her own predictions. After collaboratively collecting the data and discussing and analyzing the results, students each write up their own analysis. This allows us, as teachers, to gain insights into each student’s understanding of concepts and process. It also helps to ensure each student’s investment in the investigation. As students gain experience in the process of inquiry there is a transition from mainly teacher-designed investigations to a combination of teacher- and student-designed investigations. Through careful scaffolding students transition to asking their own sub-questions where they can research background information and design and conduct an investigation incorporating the technology tools that will aid them in their investigation. This methodology reflects the project-based model proposed by Krajcik and colleagues (Krajcik, J., Czerniak, C., Berger, C., 1999; Krajcik, J.S., Blumenfeld, P., Marx, R.W., Bass, K.M., Fredricks, J.,& Soloway, E. (1998). Technology as Facilitator of
Quality Education Model Components Highlighted in This Activity http://www.intime.uni.edu/modelimage.html I believe the video highlights most of the components of Technology as Facilitator of Quality Education Model. If you refer to the section above I discuss why I choose to use this particular teaching strategy, the following components are highlighted. Principles of Learning: School
Background Information: How the Activity Has
Evolved Over Time: MORE
INFORMATION Gleason, C. & Novak, A. (2001). "Incorporating Portable Technology to Enhance an Inquiry, Project-Based Middle School Science Classroom" in Tinker, R.F. & Krajcik, J.S. (Eds.). Portable Technologies, Science Learning in Context New York: Kluwer Academic/Plenum Publishers.
Chris Gleason and Ann
Novak’s Chapter 3 (Learning activity format adapted from National Educational Technology Standards for Students Connecting Curriculum & Technology http://cnets.iste.org/students)
Copyright.
© 2000, INTIME.
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