Rubrics & Self Assessments Online Submission
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The document outlines guidelines and rubric criteria for student investigations, emphasizing careful planning, data collection, and evaluation methods. It stresses the importance of presenting clear, well-cited work, including a self-assessment and thorough documentation of sources. Students must also address potential limitations and suggest realistic improvements to their investigations.
Rubrics & Self Assessments Online Submission
- 1. Investigation title:“Syllabus topic(s):Teacher’s Instructions and help given:<br />Candidate declaration: <br />“I confirm that this work is my own work and is the final version. I have acknowledged each use of the words or ideas of another person, whether written, oral or visual.”<br />Signed:Date: Type your name on the line above. <br />Teacher’s Feedback:<br />DesignData Collection and ProcessingConclusion and Evaluation<br />GradeMark Comments will posted into the boxes above. Check all the comments in your work to learn for next time. <br />Instructions to students:<br />The next page has been left blank. This is to allow you to work in the space, and so that the rubrics will appear at the end of the assignment. <br />To preserve formatting, use the ‘CTRL Enter’ function to make page breaks. Check your work is sensibly formatted before submitting. If you make a mistake, you can re-upload your file. <br />Present your work in a way that is clear and easy to understand and grade. <br />Work will not be graded without full and appropriate citation and self-assessment. <br />Research Question: <br />Works Cited BIBLIOGRAPHY There are no sources in the current document.<br />This section has been left here to remind you to cite your sources! It is set to the ISO 690 Numerical method, but you will need to superscript the in-text citations by yourself. Clicking above the ‘Works Cited’ label will allow you to ‘Update Citations and Bibliography’. Be sure to check before submission. <br />Design<br /> Complete / 2Partial / 1Not at all / 0ASPECTDefine problem & select variablesFormulates a focused problem/ research question and identifies the relevant variables. Formulates a problem/research question that is incomplete or identifies only some relevant variables. Does not identify a problem/ research question AND does not identify any relevant variables. Controlling variablesDesigns a method for the effective control of the variables. Designs a method that makes some attempt to control the variables. Designs a method that does not control the variables. Developing a method for collection of dataDevelops a method that allows for the collection of sufficient relevant data. Develops a method that allows for the collection of insufficient relevant data. Develops a method that does not allow for any relevant data to be collected. <br />Marking Checklist:Completed & Correct-139701460500X Not complete/ incorrect
- 2. DesignAspect 1: Define the problem and select the variablesD1.1Research Question or Aim clearly statedD1.5If a hypothesis is required:It is quantitativeA sketch graph is included, with explanationPrediction is explained using scientific theorySources are citedD1.2IV correctly identified with units/ rangeD1.3DV (as directly recorded) correctly identified with units. Statement made if further calculations need to be performed on DV.D1.4Background to investigation included, with citations where appropriateAspect 2: Controlling variablesD2.1Method to manipulate IV, including specific details of range or incrementsD2.5Controlled variables presented as table. D2.2Method for recording results, including units and uncertainty of tools (± ____ )D2.6Potential impact of each variable on results has been addressed.D2.3Annotated photo or diagram of equipment or experimental set-up D2.7Specific method to keep each controlled variable constant has been explained clearly. This includes values of each controlled variable and equipment used to ensure or measure these values. D2.4Full citation of published protocol, if used (or elements thereof)Aspect 3: Developing a method for collection of sufficient relevant dataD3.1Min. 5 increments over a suitable range for the IV (unless comparing populationsD3.5Choice of data presentation method (chart or graph type) stated and explained. D3.2Sufficient repeats at each increment to ensure reliability and allow for stats.D3.6Explain how raw data will be transformed into processed data for comparison/ plottingD3.3Range of IV stated and explanation of how this range was chosen. D3.7Choice of statistical test stated and explained. D3.4Method clearly, specific and easily replicated by the reader, if desired. D3.8Safety/ ethics concerns addressed, including animal experimentation policy.Data Collection and Processing<br /> Complete / 2Partial / 1Not at all / 0ASPECTRecording raw dataRecords appropriate quantitative data and associated qualitative raw data, including units and uncertainties where relevant. Records appropriate quantitative and associated qualitative raw data, but with some mistakes or omissions. Does not record any appropriate quantitative raw data OR raw data is incomprehensible. Processing raw dataProcesses the quantitative raw data correctly. Processes quantitative raw data, but with some mistakes and/ or omissions. No processing of raw data is carried out OR major mistakes are made in processing. Presenting processed dataPresents processed data appropriately and, where relevant, includes errors and uncertainties. Presents processed data appropriately, but with some mistakes and/or omissions. Presents processed data inappropriately OR incomprehensibly. <br />Data Collection and ProcessingAspect 1: Recording Raw DataDCP1.1Associated qualitative data (observations) MUST be recorded or zero awarded.DCP1.5Decimal points consistent throughoutDCP1.2Units of IV and DV present and correctDCP1.6Decimal points consistent with precision of the measuring equipmentDCP1.3Uncertainties correct (± __ )DCP1.7Raw data clearly distinguished from processed data (possibly separate table)DCP1.4All data are recorded correctly and honestlyAspect 2: Processing Raw DataDCP2.1Calculations to determine DV carried out, if necessaryDCP2.5Standard deviations included where appropriate, to appropriate decimal placesDCP2.2Calculations or statistical tests appropriate to investigation and address RQDCP2.6Uncertainties adjusted to reflect any calculations carried out.DCP2.3Mathematics correctly appliedDCP2.7Processed data (and decimal places) consistent with precision of recorded dataDCP2.4Worked example calculations givenAspect 3: Presenting Processed DataDCP3.1Titles self-explanatory and completeDCP3.7Error bars included, unless insignificantDCP3.2Consistent decimal placesDCP3.8Error bar source (e.g. standard deviation) stated and s.d. data are correctDCP3.3Uncertainties/ errors includedDCP3.9Appropriate best-fit or trend line where requiredDCP3.4Appropriate choice of graphDCP3.10Tables & graphs do not break across pagesDCP3.5Axes labeled clearly, including metric/ SI units and uncertainties of valuesDCP3.11Effective use of space leads to clarity of presentationDCP3.6Axes scaled appropriatelyDCP3.12Graphs clear, colouring appropriate<br />Conclusion and Evaluation<br /> Complete / 2Partial / 1Not at all / 0ASPECTConcludingStates a conclusion with justification, based on reasonable interpretation of the data. States a conclusion based on a reasonable interpretation of the data. States no conclusion OR the conclusion is based on an unreasonable interpretation of the data. Evaluating proceduresEvaluates weaknesses and limitations. Identifies some weaknesses and limitations, but the evaluation is weak or missing. Identifies irrelevant weaknesses and limitations. Improving the investigationSuggests realistic improvements in respect of identified weaknesses and limitations. Suggests only superficial improvements. Suggests unrealistic improvements. <br />Conclusion and EvaluationAspect 1: ConcludingCE1.1Patterns and trends in data stated, with reference to the graph/ tables.CE1.6Data related to hypothesis or RQ – to what extent to they agree/ disagree?CE1.2Comparisons made within the dataset, where appropriateCE1.7Appropriate language used “Supports my hypothesis” (not ‘proves’ or ‘is correct’)CE1.3Comparison with published data and theoretical texts, if possible.CE1.8Suggestions for further investigation statedCE1.4Scientific explanation for results, with justificationCE1.9Sources cited appropriatelyCE1.5Associated qualitative data add value to explanations.Aspect 2: Evaluating proceduresCE2.1Reference to error bars (or STDEV) with regard to variability of results and validity of conclusionsAll of the following evaluated in terms of possible effect on data and magnitude of error. Could be clearly presented as a table. CE2.2Analysis of sufficiency of data to address the aim/ RQCE2.6Random biological variationCE2.3Analysis of appropriateness of the range of IV values with regard to the aim/ RQCE2.7Measurement/ instrument errorsCE2.4Anomalous points identified and explained, where appropriateCE2.8Systematic errors (problems with method) CE2.5Associated qualitative data referred to where appropriate. CE2.9All other limitations relevant to the investigationTime management or human error may be mentioned, though these are not scientific errors – they should be eliminated with effective Manipulative Skills. The focus here should be on the investigation. Aspect 3: Improving the investigationImprovements for the limitations or sources of error above:CE3.1Are realistic and achievableCE3.3Are specific and clearly explainedCE3.2Address the RQ or aim quantitatively (improving control of IV, DV and CV)CE3.4Are cited where improvements relate to published protocols or techniques<br />