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www.monash.edu.au Using a Virtual Field trip to teach Quantitative Methods to First-Year Biology Students Gerry Rayner & Gordon Sanson School of Biological Sciences Monash University
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www.monash.edu.au Gordon Sanson Gerry Quinn Martin Predavec Bronwyn Burton - storyboards and videos Tony Hayes (CleverBits Pty Ltd) - programming Monash University - SIF Funding Acknowledgements Concept and design
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www.monash.edu.au Statistical literacy in biology (and other sciences) important for: design of biological experiments analysis of experimental data reading and evaluation of scientific papers presentation of results Rationale
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www.monash.edu.au Modes of instruction Previous lab-based exercise based on an appropriate theoretical question –Sampling shells from ‘rough’ / ‘calm’ shores –Shells previously collected –Measure dimensions –Collate data, analyse and plot
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www.monash.edu.au Modes of instruction –Very static interaction –No skills acquisition in field design and sampling –No use of Excel for analysis & presentation = damp squid However:
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www.monash.edu.au Modes of instruction A ‘real’ field trip is the best method, BUT…..negated by Costs Inflexibility – work commitments Logistics – high student numbers Time spent en-route Safety issues
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www.monash.edu.au Solution Develop an on-line, interactive module incorporating: –A hypothetical question – scenario, decision making and data gathering –Use of excel for analysis and presentation –Assessment
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www.monash.edu.au Solution Interactivity - incorporates Tapscott’s (1998) “shifts in interactive learning”, including: linear to hypermedia learning; instruction to construction & discovery; one-size-fits-all to customized learning; teacher-centered to student (learner)-centered;
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www.monash.edu.au Solution Student-centered: –Multiple use –Accessible –Augments other learning experiences, and is built on in subsequent exercises –Multiple tools – video, audio, animation. –Facilitates peer learning
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www.monash.edu.au The Virtual Field trip Operates from School of Biological Sciences homepage or a Web-CT Unit page etc. System check, Student name and ID Introduction - Examining the effects of a sewage outfall on local fauna
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www.monash.edu.au Background (terms, definitions, etc.) target species key questions taking samples - replicationthe outfall decision-making scenario
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www.monash.edu.au The ‘species’
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www.monash.edu.au The ‘site’
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www.monash.edu.au Sampling module D:\meas_sampling\sampling\sampling.htm
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www.monash.edu.au Learning & skills development Experimental design, hypothesis testing, data acquisition and analysis and presentation of results. A suitable leader to 2 nd year units in the Biological and Medical sciences. Life-long skills acquisition.
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www.monash.edu.au Results Student feedback (agree / strongly agree): easy to follow and well-structured - 59% developed skills in Excel-57% improved understanding of how research design and execution-57% improved understanding of data analysis and presentation -66%
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www.monash.edu.au a a a a Results
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www.monash.edu.au Results Strong correlations (P < 0.05) between module scores and other components (n = 420): –final grade (r = 0.55) –prac mean (r = 0.44) –exam grade (r = 0.41) –miniquizzes (r = 0.37)
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www.monash.edu.au Limitations –will never replace a real field trip –Time-consuming –demanding for students without expertise in Excel ® = not a saviour, but…….
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www.monash.edu.au Future developments 1.Database student delivery and tracking 2. Quiz questions re: - understanding of design and sampling; - competency in the use of spreadsheet software - skills in generating graphs of descriptive statistics
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www.monash.edu.au Future developments 3.Development of ‘sister’ modules investigating other biological questions, - differential impacts of forest clearing on birds and small mammals - simulating use of laboratory animals in experiments
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www.monash.edu.au Then there are some days when…..
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