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When, What, and How?

A Critical Look at Technology Use in Middle Grades
Earth Science

Daniel Dickerson

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Table 3

 

Focus of Goals and Objectives

Technology

Content

Goals and Objectives Require the Teaching of

Skills

Concepts

Skills/Concepts

Concepts/Skills

Technology-focused goals require teaching either skills or skills/concepts. Skills primarily involve "knowing how to do" while skills/concepts involve "knowing how to do" and "understanding the various why's". Content-focused goals require teaching either concepts or concepts/skills. Concepts primarily involve "understanding the various why's" while concepts/skills involve "understanding the various why's" and "knowing how to do". So if both technology and content focused goals require teaching that has the potential to result in the same learning outcomes, assuming appropriate contexts and execution for each, what difference does it make where goals are focused?

Technology-focused goals that are skill-centered, by definition, are not taught to build conceptual understanding. In contrast, the primary purpose of all content-focused goals is to construct conceptual understanding, but what about technology-focused goals that are skills/concepts-centered. These goals, by definition, address conceptual understanding, so again, what's the difference? The difference occurs in technology's role in the development of conceptual understanding. Technology's role in content-focused goals and objectives always remains a secondary consideration even when teaching skills, because those skills are viewed as an extension to conceptual understanding, allowing for application. The exact opposite is noted of technology-focused goals. Skills and the applied nature of technology itself are viewed as the portals through which conceptual understanding may be derived. Teaching for conceptual understanding through technology has important implications that warrant serious consideration.

One implication, for example, involves the notion that a particular technology is an essential component of a concept. Olson and Clough (2001) articulate this point nicely (p. 4). 

"For instance, researchers (Annenberg/CPB, 1997) found that even the brightest students in a high school physics classroom did not understand the basic concept of an electrical circuit despite two months of instruction on electricity. When asked how to make the bulb light, one student thought a bulb holder was a necessary part of a circuit. When trying to light the bulb, the student asks the interviewer, "Can I use the little piece we used in class?" When asked why she needed the bulb holder, she states, "It carries the charge or something. I don't think it will light without it." Equipment is often used before students have seriously grappled with the concepts under study. As a result, they can perceive the technology to be a necessary part of the concept."

The student's confusion about the role of technology in this case contributed to her incomplete understanding of the concept of electrical circuits. Other forms of misconceptions may be fostered through the use of technology to teach conceptual understanding. For example, in many instances, technology functions as a "black box" when students never comprehend the processes implicit in the technology. As a result, when students are asked to apply their "conceptual understanding" in the absence of the exact technology used in the lesson, their cognitive structures collapse revealing only a partial (at best) framework of understanding (Almy, 1966; Olson & Clough, 2001).

The complete abandonment of technology is certainly not the answer, however. Students need tools in order to build upon the foundation of their understandings. Most reform efforts in science education such as learning cycles, problem-based learning, and other forms of inquiry demand that students have access to the tools they need to answer their questions. But, the tools must be ones they can comprehend and explain. Without this essential restriction, teachers will contribute to students gaining a false sense of the nature of science. What respectable scientist would think about publishing results of an experiment without an understanding of the technologies used to produce the data? Yet this occurs all too often within the classroom. In order to alleviate this problem of "low tech", a "higher-tech" and "low tech" approach may be preferable. 

For example, in a unit on topography, students may need to work cooperatively to gather data on beach dune elevations and construct a map based on that data. The fear is that the teacher may give the students GPS (Global Positioning Satellite) units, allow them to collect data, and then download the data into a GIS (Geographic Information System) program that produces a map and assume that students understand technically and conceptually how the data was collected, why it was collected, and what happened to it after they got back to class. This, of course, is a worse case scenario in which the students have little to no idea how their data was produced, what really happened with the data that was collected, and subsequently, what the resulting map spatially represents. In another scenario, the teacher acknowledges that some explanation of the origin and evolution of the data is necessary. The teacher takes the time to explain as well as he or she can (depending on time, knowledge of equipment, etc.) the technical and conceptual aspects of the technologies used during and after the students' data collection. This is, however, a problem which goes right back to the child's Piagetian stage of development (concrete operational) that says that his or her thinking is still heavily tethered to the physical world. Woolfolk (1995) illustrates this point: 

"thus, children at this stage [concrete operational] can imagine several different arrangements for the furniture in their rooms before they act. They do not have to solve the problem strictly through trial and error by actually making the arrangements. But the concrete-operational child is not yet able to reason about hypothetical, abstract problems that involve the coordination of many factors at once" (p.38). 

The simultaneous coordination of numerous factors is exactly what the use of indirect-observational technologies requires. To avoid such complications, the use of 'low-tech' technologies such as meter sticks, string, and line levels can be used to measure elevation changes across a transect that can then be used to construct a hand-drawn map by connecting data points. The important difference is that the students can directly observe and manipulate the physical process of data collection. Once the foundation of the cognitive structure has been laid through concrete experiences, 'higher-tech' tools can be introduced to further build on the conceptual goals, but always with a watchful eye that the technology does not generate a gap in their understanding. Even with the 'low-tech' example given in this paper, if the students do not understand, for instance, how the line level functions in producing the data they collect, the technology is impeding the move towards a more complete understanding of the concept. 


Implications for Use

 Technologies implemented in classroom learning are either good or bad depending on the context. It is the context (e.g. teacher goals, teacher behaviors and characteristics, student behaviors and characteristics, aspects of the learning environment) that determines when, what, and how technologies should or should not be used. We do not presume to further diminish any vestige of professionalism left teachers by demanding the embracement or abandonment of technology. Rather we want educators to understand that the inclusion of technology into their instruction is a test of their professional competence and excellence and not a fun afterthought. "Making choices about technology for the purposes of K-12 education should be a serious and thoughtful process guided by the notions of teaching and learning" (Dawkins, 2002, p. 1). Therefore, the idea of blanket inclusion or exclusion of technology in middle grades earth science education is, at best, irresponsible considering our understanding of how these children typically learn.

Before making the choice to include technologies in lessons, educators must understand the benefits and drawbacks inherent to a given technology in a given context. Furthermore, closer monitoring of conceptual understanding is needed based upon the gap that exists between a more concrete, directly observable means of handling data and a more abstract, technology-rich approach, that may in fact hide misconceptions about both the specific content being studied and the nature of science. In the end, the "principles of effective teaching are not changed by the presence or absence of technology" (Olson & Clough, 2001, p. 5). As long as educators adhere to those principles and remain mindful of the advantages and disadvantages inherent to the use of technology, the overarching goals of developing a scientifically literate individual and improving student achievement will be realized more effectively.   


References

Almy, M. (1966). Young children's thinking. New York: Teachers College Press.

Baker, D.R. & Piblurn, M.D. (1997). Constructing science in middle and secondary school classrooms. Boston: Allyn and Bacon.

Bransford, J., Brown, A., & Cocking, R. (Eds.) (1999). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.

Dawkins, K.R. (February, 2002). Earth-View: Using high tech and low tech in a field course for teachers. A paper presented at the K-12 Outreach Conference, RTP, NC.

Edelson, D. (2001). Learning-for-use: A framework for the design of technology-supported inquiry activities. Journal of Research in Science Teaching, 38(3): 355-385.

Linn, M.C., Songer, N.B., & Eylon, B.S. (1996). Shifts and convergences in science learning and instruction. Handbook of Educational Psychology. Calfee, R.C. and Berliner, D.C., Eds. Riverside, NJ: Macmillan, 438-490.

National Research Council. (1996). National science education standards. Washington, DC: National Academy Press.

National Research Council. (1997). Science teaching reconsidered. Washington, DC: National Academy Press.

North Carolina Department of Public Instruction. (1999). North Carolina science standard course of study. Raleigh: Author.

Olson, J.K. & Clough, M.P. (2001). A cautionary note: Technology's tendency to undermine serious study and teaching. The Clearinghouse, 75(1): 8-13.

Penick, J.E., Yager, R.E., & Bonnstetter, R.J. (1986). Teachers make exemplary programs. Educational Leadership, 44, 14-20.

Penick, J.E. & Bonnstetter, R.J. (1993). Classroom climate and instruction: New goals demand new approaches. Journal of Science Education and Technology, 2(2): 389-395.

Postman, N. (1985). Amusing ourselves to death: Public discourse in the age of show business. New York: Penguin.

Postman, N. (1995). The end of education: Redefining the value of school. New York: Vintage.

Roth, W. (2001). Learning science through technological design. Journal of Research in Science Teaching, 38(7): 768-790.

Woolfolk, A.E. (1995). Educational psychology. Boston: Allyn and Bacon.

Wood, D., Bruner, J.S., & Ross, G. (1976). The role of tutoring in problem-solving. Journal of Child Psychology and Psychiatry, 17: 89-100.

Wu, H., Krajcik, J., & Soloway, E. (2001). Promoting understanding of chemical representations: Students' use of a visualization tool in the classroom. Journal of Research in Science Teaching, 38(7): 821-842.


About the Author:

Daniel Dickerson is a graduate student at North Carolina State University pursuing a Ph.D. in Science Education with a minor in Earth/Environmental Sciences. His research interests include the use of scientific fieldwork, spatial reasoning, and the nature of science. He may be contacted at:

Daniel Dickerson
North Carolina State University
Center for Research in Mathematics and Science Education
315 Poe Hall
Raleigh, NC
27695-7801
919-515-2013 (office)
919-515-3662 (fax)
Email: dldicker@unity.ncsu.edu

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Meridian: A Middle School Computer Technologies Journal
a service of NC State University, Raleigh, NC
Volume 8, Issue 1, Winter 2005
ISSN 1097 9778
URL: http://www.ncsu.edu/meridian/sum2002/earthscience/3.html
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