SlideShare a Scribd company logo
1 of 14
GOOGLE SITE
SIMULATIONS / DATA
COLLECTION AND
PROCESSING ACTIVITIES




         Image 1.
SIMULATIONS




                         Image 2.

This Google Site contains four reusable learning object
simulations designed by the University of Colorado at
Boulder. The University provides an open resource of fun,
interactive Science simulations that are designed to promote
conceptual understanding among learners as well as
promoting research-based activities. The Phet project
interactive simulations by the University of Colorado at
Boulder can be found at:-
               http://phet.colorado.edu/
DATA COLLECTION AND
          PROCESSING INTERNAL
          ASSESSMENT CRITERIA
   Each interactive simulation is accompanied by a
    learning task that will allow students to collect
    research-based data from the interactive simulation.
    This data can then be processed and can be presented
    as a Data Collection and Processing (DCP) internal
    assessment activity for the student IB Physics
    internal assessment portfolio.
   Each DCP learning activity is designed so that
    students can work independently from one another,
    therefore working at their own pace. Raw data
    collected from the simulation will be specific to each
    student.
   Each student is  solely  responsible for all data
    collection within their learning activity.
DATA COLLECTION AND PROCESSING
 INTERNAL ASSESSMENT CRITERIA
   The learning task for each simulation focuses on each
    aspect of the IB - DCP internal assessment criteria
    for Science and this rubric is shown below.




                                                        Image 3.
DATA COLLECTION AND
         PROCESSING EXAMPLE
   An electric toy car is travelling along a straight line
    and measurements of its position and time are
    taken. The uncertainty in the time ∆t = ± 0.005s
    and the uncertainty of the displacement ∆s = ±
    0.1m.


                                                      Image 4.
ASPECT 1
   By manipulating the variables within the simulation,
    students can collect all relevant raw data from the
    simulation including all relevant units and errors.
    Students can record and display this data using suitable
    spreadsheet software that is applicable to them.
ASPECT 2
   Students can manipulate and process data using  suitable
    spreadsheets and graphing software that is applicable to
    the individual. Spreadsheets can be used to perform
    calculations on raw data and to record processed data.
    Graphing software can be used to find relationships
    between variable data and provide physical constants
    where appropriate.
ASPECT 3
   Students can use functions of suitable spreadsheets and
    graphing software that is applicable to them. For
    graphing     software    this   should     include error
    bar analysis where appropriate and for spreadsheet
    software this should include organisation and
    presentation of the overall DCP lab report.
ASPECT 3
FORCE AND MOTION SIMULATION
The DCP learning activity instructs students to
manipulate the relationship between the normal force
and friction force during translational equilibrium
and determines the physical quantity of coefficient of
friction using this relationship. 



                                                     Image 5.
PENDULUM SIMULATION
The DCP learning activity instructs students to
manipulate the relationship between the length of a
pendulum and the period of the pendulum and
determines the physical quantity of gravity using this
relationship.




                                                         Fig 6.
BLACK BODY SIMULATION
 This DCP learning activity instructs students to
manipulate the relationship between temperature
and intensity and determines the Stefan - Boltzmann
constant using this relationship.




                                                      Fig 7.
BENDING LIGHT SIMULATION 
 The DCP learning activity instructs students to
manipulate the relationship between the angle of
incidence and the  angle of refraction using
monochromatic light and determine the physical
quantity of refractive index using the relationship of
the sine's of these angles.



                                                     Fig 8.
IMAGES
Image 1. Daniel Deme / Corbis (10/4/2008) Goggle China Wikileaks US
cables (photograph). Royalty Managed. Retrieved from
http://www.corbisimages.com/stock-photo/rights-managed/42-                  26847321/gog
 on 21/3/2012


Image 3. IBO. (2011). Diploma programme curriculum IB Group 4 DCP
rubric(image). Retrieved from Online curriculum centre
http://occ.ibo.org/ibis/documents/dp/gr4/physics/d_4_physi_cor[d_4_physi_gui_0903_1_e.p
 on 21/3/2012


Image 4. Randy Farris / Corbis (n.d). Toy Car (photograph). Royalty Free.
Retrieved from
http://www.corbisimages.com/stock-photo/royalty-free/42-19569743/toy-car?popup=1
 on 21/3/2012


Images 2, 5, 6, 7 and 8.
University of Colorado. (2011). Interactive Simulations. Creative commons
license. Retrieved from http://phet.colorado.edu/ on 21/3/2012

More Related Content

What's hot

FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZA...
FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZA...FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZA...
FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZA...csandit
 
76 s201912
76 s20191276 s201912
76 s201912IJRAT
 
Face recognition using selected topographical features
Face recognition using selected topographical features Face recognition using selected topographical features
Face recognition using selected topographical features IJECEIAES
 
Boosting Approach to Solving Machine Learning Problems
Boosting Approach to Solving Machine Learning ProblemsBoosting Approach to Solving Machine Learning Problems
Boosting Approach to Solving Machine Learning ProblemsDr Sulaimon Afolabi
 

What's hot (6)

FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZA...
FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZA...FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZA...
FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZA...
 
P1151404314
P1151404314P1151404314
P1151404314
 
76 s201912
76 s20191276 s201912
76 s201912
 
Face recognition using selected topographical features
Face recognition using selected topographical features Face recognition using selected topographical features
Face recognition using selected topographical features
 
Boosting Approach to Solving Machine Learning Problems
Boosting Approach to Solving Machine Learning ProblemsBoosting Approach to Solving Machine Learning Problems
Boosting Approach to Solving Machine Learning Problems
 
Img process
Img processImg process
Img process
 

Similar to Google Site Simulations and DCP activities

Interfacing of Java 3D objects for Virtual Physics Lab (VPLab) Setup for enco...
Interfacing of Java 3D objects for Virtual Physics Lab (VPLab) Setup for enco...Interfacing of Java 3D objects for Virtual Physics Lab (VPLab) Setup for enco...
Interfacing of Java 3D objects for Virtual Physics Lab (VPLab) Setup for enco...IOSR Journals
 
CROWD ANALYSIS WITH FISH EYE CAMERA
CROWD ANALYSIS WITH FISH EYE CAMERA CROWD ANALYSIS WITH FISH EYE CAMERA
CROWD ANALYSIS WITH FISH EYE CAMERA ijaceeejournal
 
CROWD ANALYSIS WITH FISH EYE CAMERA
CROWD ANALYSIS WITH FISH EYE CAMERACROWD ANALYSIS WITH FISH EYE CAMERA
CROWD ANALYSIS WITH FISH EYE CAMERAijaceeejournal
 
Edu 710 literature review_jefferson hartman
Edu 710 literature review_jefferson hartmanEdu 710 literature review_jefferson hartman
Edu 710 literature review_jefferson hartmanjeffersonhartman
 
Analysis of student sentiment during video class with multi-layer deep learni...
Analysis of student sentiment during video class with multi-layer deep learni...Analysis of student sentiment during video class with multi-layer deep learni...
Analysis of student sentiment during video class with multi-layer deep learni...IJECEIAES
 
IIM Ahmedabad Report - Google Docs - Copy
IIM Ahmedabad Report - Google Docs - CopyIIM Ahmedabad Report - Google Docs - Copy
IIM Ahmedabad Report - Google Docs - CopyVikramank Singh
 
adaptive metric learning for saliency detection base paper
adaptive metric learning for saliency detection base paperadaptive metric learning for saliency detection base paper
adaptive metric learning for saliency detection base paperSuresh Nagalla
 
MULTI-LEVEL FEATURE FUSION BASED TRANSFER LEARNING FOR PERSON RE-IDENTIFICATION
MULTI-LEVEL FEATURE FUSION BASED TRANSFER LEARNING FOR PERSON RE-IDENTIFICATIONMULTI-LEVEL FEATURE FUSION BASED TRANSFER LEARNING FOR PERSON RE-IDENTIFICATION
MULTI-LEVEL FEATURE FUSION BASED TRANSFER LEARNING FOR PERSON RE-IDENTIFICATIONijaia
 
Exploring visual and motion saliency for automatic video object extraction
Exploring visual and motion saliency for automatic video object extractionExploring visual and motion saliency for automatic video object extraction
Exploring visual and motion saliency for automatic video object extractionMuthu Samy
 
Exploring visual and motion saliency for automatic video object extraction
Exploring visual and motion saliency for automatic video object extractionExploring visual and motion saliency for automatic video object extraction
Exploring visual and motion saliency for automatic video object extractionMuthu Samy
 
1. You have been presented with the following cost function repres.docx
1. You have been presented with the following cost function repres.docx1. You have been presented with the following cost function repres.docx
1. You have been presented with the following cost function repres.docxpaynetawnya
 
E.Leute: Learning the impact of Learning Analytics with an authentic dataset
E.Leute: Learning the impact of Learning Analytics with an authentic datasetE.Leute: Learning the impact of Learning Analytics with an authentic dataset
E.Leute: Learning the impact of Learning Analytics with an authentic datasetHendrik Drachsler
 
F03403031040
F03403031040F03403031040
F03403031040theijes
 
Intel Book Chapter 4
Intel Book Chapter 4Intel Book Chapter 4
Intel Book Chapter 4Thomas Price
 
[ICIP 2022] ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory...
[ICIP 2022] ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory...[ICIP 2022] ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory...
[ICIP 2022] ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory...Ziyuan Zhao
 

Similar to Google Site Simulations and DCP activities (20)

ShawnLinerRET2013
ShawnLinerRET2013ShawnLinerRET2013
ShawnLinerRET2013
 
Interfacing of Java 3D objects for Virtual Physics Lab (VPLab) Setup for enco...
Interfacing of Java 3D objects for Virtual Physics Lab (VPLab) Setup for enco...Interfacing of Java 3D objects for Virtual Physics Lab (VPLab) Setup for enco...
Interfacing of Java 3D objects for Virtual Physics Lab (VPLab) Setup for enco...
 
CROWD ANALYSIS WITH FISH EYE CAMERA
CROWD ANALYSIS WITH FISH EYE CAMERA CROWD ANALYSIS WITH FISH EYE CAMERA
CROWD ANALYSIS WITH FISH EYE CAMERA
 
CROWD ANALYSIS WITH FISH EYE CAMERA
CROWD ANALYSIS WITH FISH EYE CAMERACROWD ANALYSIS WITH FISH EYE CAMERA
CROWD ANALYSIS WITH FISH EYE CAMERA
 
article_45331.pdf
article_45331.pdfarticle_45331.pdf
article_45331.pdf
 
Final Report
Final ReportFinal Report
Final Report
 
Edu 710 literature review_jefferson hartman
Edu 710 literature review_jefferson hartmanEdu 710 literature review_jefferson hartman
Edu 710 literature review_jefferson hartman
 
Analysis of student sentiment during video class with multi-layer deep learni...
Analysis of student sentiment during video class with multi-layer deep learni...Analysis of student sentiment during video class with multi-layer deep learni...
Analysis of student sentiment during video class with multi-layer deep learni...
 
IIM Ahmedabad Report - Google Docs - Copy
IIM Ahmedabad Report - Google Docs - CopyIIM Ahmedabad Report - Google Docs - Copy
IIM Ahmedabad Report - Google Docs - Copy
 
adaptive metric learning for saliency detection base paper
adaptive metric learning for saliency detection base paperadaptive metric learning for saliency detection base paper
adaptive metric learning for saliency detection base paper
 
MULTI-LEVEL FEATURE FUSION BASED TRANSFER LEARNING FOR PERSON RE-IDENTIFICATION
MULTI-LEVEL FEATURE FUSION BASED TRANSFER LEARNING FOR PERSON RE-IDENTIFICATIONMULTI-LEVEL FEATURE FUSION BASED TRANSFER LEARNING FOR PERSON RE-IDENTIFICATION
MULTI-LEVEL FEATURE FUSION BASED TRANSFER LEARNING FOR PERSON RE-IDENTIFICATION
 
Exploring visual and motion saliency for automatic video object extraction
Exploring visual and motion saliency for automatic video object extractionExploring visual and motion saliency for automatic video object extraction
Exploring visual and motion saliency for automatic video object extraction
 
Exploring visual and motion saliency for automatic video object extraction
Exploring visual and motion saliency for automatic video object extractionExploring visual and motion saliency for automatic video object extraction
Exploring visual and motion saliency for automatic video object extraction
 
1. You have been presented with the following cost function repres.docx
1. You have been presented with the following cost function repres.docx1. You have been presented with the following cost function repres.docx
1. You have been presented with the following cost function repres.docx
 
E.Leute: Learning the impact of Learning Analytics with an authentic dataset
E.Leute: Learning the impact of Learning Analytics with an authentic datasetE.Leute: Learning the impact of Learning Analytics with an authentic dataset
E.Leute: Learning the impact of Learning Analytics with an authentic dataset
 
Stella esei
Stella eseiStella esei
Stella esei
 
F03403031040
F03403031040F03403031040
F03403031040
 
Intel Book Chapter 4
Intel Book Chapter 4Intel Book Chapter 4
Intel Book Chapter 4
 
report
reportreport
report
 
[ICIP 2022] ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory...
[ICIP 2022] ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory...[ICIP 2022] ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory...
[ICIP 2022] ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory...
 

More from jghopwood

Thermal physics ppt
Thermal physics pptThermal physics ppt
Thermal physics pptjghopwood
 
Cell phone presentation
Cell phone presentationCell phone presentation
Cell phone presentationjghopwood
 
Balancing equations
Balancing equationsBalancing equations
Balancing equationsjghopwood
 
1.2 covalent bonding student
1.2 covalent bonding student1.2 covalent bonding student
1.2 covalent bonding studentjghopwood
 
Periodic table (1)
Periodic table (1)Periodic table (1)
Periodic table (1)jghopwood
 
Prezi on whales
Prezi on whalesPrezi on whales
Prezi on whalesjghopwood
 
Channels of communication
Channels of communicationChannels of communication
Channels of communicationjghopwood
 

More from jghopwood (9)

Waves
WavesWaves
Waves
 
Thermal physics ppt
Thermal physics pptThermal physics ppt
Thermal physics ppt
 
Cell phone presentation
Cell phone presentationCell phone presentation
Cell phone presentation
 
Balancing equations
Balancing equationsBalancing equations
Balancing equations
 
1.2 covalent bonding student
1.2 covalent bonding student1.2 covalent bonding student
1.2 covalent bonding student
 
Periodic table (1)
Periodic table (1)Periodic table (1)
Periodic table (1)
 
Prezi on whales
Prezi on whalesPrezi on whales
Prezi on whales
 
Nicole
NicoleNicole
Nicole
 
Channels of communication
Channels of communicationChannels of communication
Channels of communication
 

Recently uploaded

SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 

Recently uploaded (20)

SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 

Google Site Simulations and DCP activities

  • 1. GOOGLE SITE SIMULATIONS / DATA COLLECTION AND PROCESSING ACTIVITIES Image 1.
  • 2. SIMULATIONS Image 2. This Google Site contains four reusable learning object simulations designed by the University of Colorado at Boulder. The University provides an open resource of fun, interactive Science simulations that are designed to promote conceptual understanding among learners as well as promoting research-based activities. The Phet project interactive simulations by the University of Colorado at Boulder can be found at:- http://phet.colorado.edu/
  • 3. DATA COLLECTION AND PROCESSING INTERNAL ASSESSMENT CRITERIA  Each interactive simulation is accompanied by a learning task that will allow students to collect research-based data from the interactive simulation. This data can then be processed and can be presented as a Data Collection and Processing (DCP) internal assessment activity for the student IB Physics internal assessment portfolio.  Each DCP learning activity is designed so that students can work independently from one another, therefore working at their own pace. Raw data collected from the simulation will be specific to each student.  Each student is  solely  responsible for all data collection within their learning activity.
  • 4. DATA COLLECTION AND PROCESSING INTERNAL ASSESSMENT CRITERIA  The learning task for each simulation focuses on each aspect of the IB - DCP internal assessment criteria for Science and this rubric is shown below. Image 3.
  • 5. DATA COLLECTION AND PROCESSING EXAMPLE  An electric toy car is travelling along a straight line and measurements of its position and time are taken. The uncertainty in the time ∆t = ± 0.005s and the uncertainty of the displacement ∆s = ± 0.1m. Image 4.
  • 6. ASPECT 1  By manipulating the variables within the simulation, students can collect all relevant raw data from the simulation including all relevant units and errors. Students can record and display this data using suitable spreadsheet software that is applicable to them.
  • 7. ASPECT 2  Students can manipulate and process data using  suitable spreadsheets and graphing software that is applicable to the individual. Spreadsheets can be used to perform calculations on raw data and to record processed data. Graphing software can be used to find relationships between variable data and provide physical constants where appropriate.
  • 8. ASPECT 3  Students can use functions of suitable spreadsheets and graphing software that is applicable to them. For graphing software this should include error bar analysis where appropriate and for spreadsheet software this should include organisation and presentation of the overall DCP lab report.
  • 10. FORCE AND MOTION SIMULATION The DCP learning activity instructs students to manipulate the relationship between the normal force and friction force during translational equilibrium and determines the physical quantity of coefficient of friction using this relationship.  Image 5.
  • 11. PENDULUM SIMULATION The DCP learning activity instructs students to manipulate the relationship between the length of a pendulum and the period of the pendulum and determines the physical quantity of gravity using this relationship. Fig 6.
  • 12. BLACK BODY SIMULATION This DCP learning activity instructs students to manipulate the relationship between temperature and intensity and determines the Stefan - Boltzmann constant using this relationship. Fig 7.
  • 13. BENDING LIGHT SIMULATION  The DCP learning activity instructs students to manipulate the relationship between the angle of incidence and the  angle of refraction using monochromatic light and determine the physical quantity of refractive index using the relationship of the sine's of these angles. Fig 8.
  • 14. IMAGES Image 1. Daniel Deme / Corbis (10/4/2008) Goggle China Wikileaks US cables (photograph). Royalty Managed. Retrieved from http://www.corbisimages.com/stock-photo/rights-managed/42- 26847321/gog on 21/3/2012 Image 3. IBO. (2011). Diploma programme curriculum IB Group 4 DCP rubric(image). Retrieved from Online curriculum centre http://occ.ibo.org/ibis/documents/dp/gr4/physics/d_4_physi_cor[d_4_physi_gui_0903_1_e.p on 21/3/2012 Image 4. Randy Farris / Corbis (n.d). Toy Car (photograph). Royalty Free. Retrieved from http://www.corbisimages.com/stock-photo/royalty-free/42-19569743/toy-car?popup=1 on 21/3/2012 Images 2, 5, 6, 7 and 8. University of Colorado. (2011). Interactive Simulations. Creative commons license. Retrieved from http://phet.colorado.edu/ on 21/3/2012