Educator Guide - Raise.mit.edu

2y ago
39 Views
2 Downloads
1.37 MB
66 Pages
Last View : 15d ago
Last Download : 3m ago
Upload by : Lucca Devoe
Transcription

Educator GuideHow to Train YourRobot CompanionDeveloped by the MIT Media Lab & i2Learningi2 Learning.org

Learning GoalsDay 1 Students will learn definitions of Artificial intelligence (AI) and robotsStudents will be able to distinguish machines from robots from artificially intelligent robotsStudents will learn to identify examples of AI in the worldDiscuss different levels of moral and ethical reasoningRefresh knowledge of block-based programming in ScratchLearn about extensions in Scratch that work with Arduino robotLearn about different perceptions of AI that people have in society and in the classroomDay 2 Introduce students to machine learning and neural networksStudents will learn that algorithms do not necessarily give the “right” answer, the answers theygive depend on the people who programmed them and what their goals wereLearn how to train a machine learning system to do image recognitionStudents will learn that algorithms can be helpful and harmful at the same timeDay 3 Students will be introduced to self-driving cars and some of the issues surrounding thetechnologyStudents will learn about stakeholders and their interests as they complete an ethical matrixStudents will use Scratch and Arduino robots to make a self-driving carStudents will experience some of the challenges of reaching a consensus about technologypolicyStudents will do research to find inspiration for final projectsStudents will engage in ideation and brainstorming to choose a few ideas to pursue for their finalprojectsDay 4 Open-ended projects help build time-management and planning skillsBeing a user-experience tester is a useful way to learn how to give feedbackConstructive feedback helps an engineer make improvements to their productReflecting on and synthesizing feedback can help make a project betterDay 5 Preparing a project for exhibition includes finalizing projects and setting up your exhibitionspaceHard work and playful learning is a way to create a finished product that instills prideDivide up roles for explaining the projects to others

Activities OverviewDay 1Day 2Day 3Welcome (15 mins)Students are welcomed to thecourse and the stage is set forthe type of activities they willengage in during the weekWelcome (15 mins)Students review what theylearned yesterday and go overthe activities for today involvingmachine learning.Welcome (15 mins)Students review what theylearned yesterday and go overthe activities for today.What is AI? (30 mins)Students discuss definitions oftechnology and artificial andintelligence.Algorithms as Opinions (30mins)Students will do the classicPB&J algorithm example tolearn about writing instructionsfor computers.Ethical Matrices (30 mins)Students will learn aboutstakeholders and use ethicalmatrices to guide their moralreasoning about self-drivingcars.Ethical Dilemmas (60 mins)Students will be introduced tomoral reasoning with an ethicaldecision making example.Algorithmic Bias (90 mins)Students will use Google’sTeachable Machine to train abiased machine learning systemand learn about how algorithmicbias impacts society.Self-Driving Robot (90 mins)Students will learn aboutclosed-loop algorithms to teachtheir robots to navigateautonomously along a path.Intro to Scratch and Arduinorobots (90 mins)Students will follow tutorials torefresh their knowledge ofScratch and get to know theirrobotic companions.Robot Card Game (90 mins)Students will teach their robotsto use image recognition to playa simple card game.Final Project Research (30mins)Students will conduct researchto do idea generation abouttheir own robot companionprojects.Reflect (30 mins)Students reflect on what theyhave learned about AI and itsrole in society today.Reflect (30 mins)Students reflect on what theyhave learned today aboutalgorithmic bias in AI systemstoday.Reflect (30 mins)Students reflect on theirbrainstorming to begin comingup with concrete ideas aboutwhat they will build with theirrobots.

Day 4Day 5Welcome (30 mins)Students will discuss some oftheir final project ideas and theirrelationships to some of theethical concerns they are nowaware of.Welcome (15 mins)Students check in with eachother about the work they needto do to finish their projects.Final Project: Planning (30mins)Students choose a direction fortheir final project and develop aplan to determine what themajor components of it are.Final Project: Finishing Up(120 mins)Students put the final toucheson their projects for theshowcase.Final Project: Work Time (90mins)Students start to build a firstversion of their final projects,inspired by their paperprototypes.Final Project: ShowcasePreparation (30 mins)Students prepare forcommunicating about the workthey accomplished this week.Final Project: Peer Review (30mins)Students look at each others’designs and ethical matrices toprovide feedback.Final Project: Showcase (60mins)Students present their robotcompanions to visitors.Reflect (15 mins)Students process the feedbackthey received and plan the nextday’s work.Reflect (15 mins)Students reflect on the ethicaland technical considerationsthat went into designing theirrobot companion.Notes

MaterialsGetting StartedBefore the first day, be sure that all laptops are ready by going through the Laptop Setup document. Thisincludes installing Google Chrome, installing the ScratchX robot extension software, making MachineLearning for Kids account for the laptops, and downloading the base code for the robot activities.Day 11. What is Technology handout8. Markers (for teacher)2. What is AI handout9. AI vs. Not AI cards3. Ethical Dilemmas handout10. Instructor Laptop and Projector (todisplay video)4. Ethical Reasoning handout11. Student Laptops5. Reflection handout12. Robots6. Chart paper7. Sticky NotesDay 21. PB&J Algorithm handout6. Instructor Laptop and Projector2. Algorithmic Bias handout7. Student Laptops3. Reflection handout8. Robots4. Cats and Dogs Dataset cards9. USB Webcams5. Playing CardsDay 31. Ethical Matrix handouts5. Chart Paper2. Final Project Brainstorm handout6. Construction paper3. Final Project Research handout7. Markers4. Reflection handout8. Instructor Laptop and projector

9. Student Laptops11. USB Webcams10. RobotsDay 41. Final Project Planning handout2. Final Project Peer Review handout3. Reflection handout4. Student Laptops5. Robots6. USB WebcamsDay 51. Final Project Planning handout (from previous day)2. Reflection handout3. Student Laptops4. Robots5. USB Webcams

AssessmentsFor more information on assessing your students, see the Assessment Rubric , found after thissection.Critical ThinkingWhen students are working on STEM activities, it is much more important to assess their criticalthinking skills and the ways in which they approach the problem-solving process rather thanassess what they created or their specific coding skills.፧ Discuss Q uestionsEmbedded throughout the course are opportunities to assess how students are thinking. Thebulleted፧ D iscuss questions provide chances to assess both small-group and whole-classthinking of either small groups of students or the whole class. Share A ctivitiesEmbedded throughout the course are opportunities to learn about presenting your work, andgiving feedback to others. The bulleted Share activities provide chances to communicatelearnings and build constructive feedback skills in either pairs of students or as a whole class.Observing and ListeningAs students work through the activities, listen carefully to their conversations and justificationsfor their design decisions . The collaboration and use of science and engineering practices thatyou see will help you understand how students are approaching problems.As students become more comfortable working with each other and implementing theengineering design process, we recommend contrasting what you see at the beginning of theweek with what you see later in the course.ShowcaseDesigned to highlight projects creading by groups throughout the week, the end-of-weekShowcase is a great opportunity to assess students by encouraging them to share what theyknow.

Assessment RubricStudents gain positive attitudes and skillsGoalEvidence: I see students. Students are engaged Students apply theirknowledge Students collaborate Notesparticipate in activitiesshare ideas during discussionvocalize enjoymentshare prior knowledgemake connections from one activity toanotherrelate previously collected data to newcontextshear and respect the ideas of othersencourage group members andclassmatesgive thoughtful feedback to othersStudents use programming and engineering practicesDay 1 GoalEvidence: I see students. 1. Identify AI 2. Programming their robotand usingcomputational thinking 3. Engage in argumentfrom evidence Day 2 Goal1. Evaluate an ML system 2. Understand bias3. Carry out investigations& Build an ML datasetask about criteria of AI and constraints(i.e. is a toaster AI? Why not?)notice what is AI in their robotsuse indigo blocksapply math, logic, and abstract thinkingto help solve problems or explainobservationssupport moral argument with logic,observations and findingsdiscuss the challenges of evaluatingethical decisionsEvidence: I see students. Notesidentify features (i.e. what to teach)talk about the challenges of teaching amachinemake observations about biased andunbiased datasetstalk about solutions in groups or classdiscussionsdiscuss evaluation metricsgather data and build modelssupport design decisions with evidenceNotes

Day 3 Goal1. Prioritize stakeholdersEvidence: I see students. 2. Use sensors 3. Analyze and interpretdata 4. Engage in argumentfrom evidence Day 4 & 5 Goal 2. Construct explanationsand design solutions (forengineering) 3. Carry out investigations 4. Obtain, evaluate, andcommunicate informationdiscuss roles of different stakeholdersidentify constraints and challengesidentify inputs and outputsdesign and improve technologiesgather data and observationstalk about data within their groups orclass discussionsactively participate in classroomdiscussionsupport argument with logic andobservationsidentify challenges of AI regulationEvidence: I see students.1. Research and Plan Notesgenerate novel ideas or extensions ofexisting ideascreate a plan for their ideamake and test hypothesesdesign and improve technologiestalk about solutions in groups or classdiscussionsidentify variablesdiscuss evaluation metricsgather data and observationsshare information during activitiesactively participate in showcaseNotes

Day 1WelcomeLesson15 minsObjectivesStudents will be able to identify examples of technologyStudents will learn definitions of Artificial intelligence (AI) and robots Artificial intelligence is a program that allows computers to behave in ways that make themseem intelligent (or smart) the same way that humans are intelligent Robots are machines that sense their environment, do calculations of some kind, and thenperform an action.Students will be able to distinguish machines from robots from artificially intelligent robotsIntroductionIn this course students will build robots that are artificially intelligent. These robots can interact withpeople and their environment, which means that they can have both good and bad consequences forsociety. This course will help students think about those consequences and how to design robots thatincrease good consequences and decrease bad ones.We will rely a lot on online tools like Scratch which means that students can take what they learn in classand use them for their own projects at home.Directions1.Welcome students to Day 1 of How to Train Your Robot Companion. Explain that, in this course,groups of students will work together to design robot companions that solve real-world problems. Alongthe way, we will learn programming and machine learning to have the robots do things that make themartificially intelligent.2.Begin the class with an icebreaker question. If the class does not know each other well, makesure that they all share their names. Here are some ideas of icebreaker questions: Can you give an example of something that is AI? What is the coolest example of technology you have seen or heard about?

What is AI?Materials and PreparationChart paperColored markersWhat is Technology handoutWhat is AI handoutAI vs Non-AI CardsVocabularyArtificial Intelligence - a program made by people that makes computers do things that seemintelligent (or smart) in the same way that humans are intelligent.With AI, computers and machines can understand their environment, learn more about it, makedecisions and plans, and then interact with humans and the environment.Machine - any moving mechanical device that does workRobots - machines that sense their environment, do calculations of some kind, and then perform anaction.Without AI, robots can sense but not understand, they can do calculations but they cannot learnand make decisions, and they can do actions but they cannot interact.Technology - knowledge that we use to invent new tools or devicesDirections1. Ask students to turn to their ‘Technology is ’ handout’. Use the following discussion questionsto guide students to come up with some ideas so that they can fill out the handout.Note: Rather than using the handouts, you can have students make posters or recreate the handout in acourse notebook.፧ DiscussWhat do you think the term technology means? Work with students to come up with adefinition. An example definition is that technology is every tool made by people that solves aproblem or does something new.What are examples of technology that you have seen or used? Answers can range from veryexciting things - virtual reality headsets, genetically engineered food, spaceships that landstraight up and down - to very mundane things - ponytail holders, pencils, rubberbands.2. As students begin discussing examples of technology, try and find words that might fill in theblanks with the sentence starter handout. Then, have them choose an example of technologythat is important to them to draw in the blank.Technology is (noun) made by (noun) in order to(verb).

3. Explain to students that throughout the course (and beginning today) they will have the chanceto think about how technology might cause harm, but can be designed to be reduce this harm.፧ DiscussWhat are some ways that technology might cause harm? There are a couple of bigethical concerns with technology. Prompt students with these ideas and see if they cancome up with examples.Unintended consequences, someone might build something that unintentionally hurtssomeone else. An example is a farmer up the river builds a dam to better water hiscrops. What he doesn’t know is that he keeps water from everyone else down the river.Security , new technologies always come with new vulnerabilities. An example is that ascars become more electronic it becomes easier to “hack” them with a computer.People do not need direct access to your car anymore.Fairness, having a technology might give some people an unfair advantage over others.An example is that a lot of teachers assign homework where students need a computerbecause students can do research and learn more. However, only about half ofstudents in the United States have computers at home. It’s a lot harder for studentswithout computers at home to get their homework done.Environmental impact, new technology can harm the environment. An example is thatphones are built to last for about two years, then most people go and buy a new one.The problem is that this has led to a lot of hard to recycle e-waste.4. Have students use the ‘Technology is ’ handouts to come up with a few ways that theirtechnology can be used to do helpful things or abused and have bad consequences.5. Explain to students that the technology that we will focus on in this class is artificial intelligence.Start by creating a working definition of AI with the students.፧ DiscussWhat do you think the term “artificial intelligence” means? Work with students tocome up with a definition. Encourage students to break this term down by first defining“artificial” and “intelligence”.The term a rtificial i s an adjective used to describe that which is not natural andis usually made by people. Have class share out examples of things that are“artificial”. I f no one brings it up, make sure that technology, machines, androbots come up.Intelligence is something related to using your mind to do things like understandwhat is going on, apply knowledge, solve problems, and be creative (there are nosimple definitions of intelligence!) H ave class share out actions they woulddescribe as intelligent. It might be useful to think of things that they can do

which babies, animals, and even computers cannot do. Some important ideasare being good at puzzles, being creative, knowing the right thing to do, being ableto talk.Students should understand the term “ artificial intelligence (AI). ” AI is aprogram made by people that makes computers do things that seem intelligent(or smart) in the same way that humans are intelligent.6. If you are using the “AI is ” handout, then have students fill in the blanks for the definition ofAI. AI is a program made by people that makes computers do things that seem intelligent in thesame way that humans are intelligent7. Now, draw on the board or chart paper, create a large table with three columns: ‘Examples of AI’‘How can we use AI?’ leave the third column blank. Eventually, we will fill in the third columnwith ‘How can we abuse AI?’.8. Next, have students call out different examples of AI. You can use the four topics of AI (alongwith posters) to guide their thinking. We will use these examples in the next activity.፧ DiscussFour Topics of AI: understand/perceive, learn, make decisions/plans, interact.With AI, computers and machines can understand their environment, learn moreabout it, make decisions and plans, and then interact with humans and theenvironment. Understand/Perceive: Face filters (Snapchat or Facebook), chatbots (Siri,Alexa), toy robotsLearn: Netflix and YouTube learn what kinds of videos you like to recommendmoreDecide/Plan: DeepBlue AI that beat the world’s best chess player, AlphaGoAI that beat the world’s best Go players, self-driving carsInteract: Chatbots (Siri, Alexa), DeepBlue and AlphaGo, self-driving cars,Note: If you are using the ‘AI is ’ worksheet then have students pick one example of AI to draw. Thiscan be done in notebooks or students can make posters for the wall.9. Test students’ understanding of AI by passing out the “What is AI” cards. Ask students to workin groups to sort the cards into things that are AI and things that are not AI. If there are anydisagreements, discuss them with the class.

Not AIToasterAutomatic doorCar (old school)Remote control robotAIAutonomous robot dogChatbotsSelf-driving carSnapchat face filter10. Now fill in the second column with ideas about ways that AI can be used. This will come backwhen students begin brainstorming for their final projects.፧ DiscussWhy might we want to develop artificial intelligence? How might AI be helpful to us?We can make AI that. Entertains: AIBO robot dog, Cozmo robot, Sophia androidGoes where humans can’t: NASA Helicopter, Curiosity, ValkyrieHelp people: NAO therapy robot, PARO therapy robot, HuggableExplore the world: Self-driving cars, Roomba vacuums11. Finally, tell students that just like any other technology, AI can be used for good things. But itmight have some bad consequences for individual people or society as a whole. Write the finalcolumn header ‘How can we abuse AI?’ This is an idea that we’ll explore throughout the week.

Ethical DilemmasMaterials and PreparationLaptops and Wifi connectionEthical Dilemmas handoutsEthical Reasoning handoutWebsiteshttps://www.youtube.com/watch?v zPsoFhUDLuUVocabularyMoralityThe difference between good and bad, wrong and right, following the rules andbreaking the rulesEthicsMoral guidelines for how people in society should behave if they want to befairLesson1 hourObjectivesDiscuss different levels of moral and ethical reasoningIntroductionAs we mentioned in the Welcome, every technology has good and bad consequences. We not only wantto teach students about technology, we also want them to be able to think carefully about thoseconsequences of the technology. In this lesson we will introduce ethical dilemmas and equip studentswith some tools to think about them carefully.Directions1. Have students watch the following video about ethical dilemmas togetherhttps://www.youtube.com/watch?v zPsoFhUDLuU .፧ DiscussWhat are ethics? Ethics are a set of moral guidelines that individuals in society follow tobe fair to one another. Who decides these guidelines?What was the first ethical dilemma that Tim described? The girl in the video was paid tomow her neighbor’s lawn. It took the girl about half an hour less to mow the lawn thanusual. The amount that the neighbor paid was most likely related to how long it thought itwould take. This means that the girl was given too much money to mow her neighborslawn. What strategies did Tim employ to discuss the ethical dilemma? Tim suggested

that the girl put herself in her neighbor’s shoes and considered the consequences of eachaction. What advice would you give the girl and why?What was the second ethical dilemma that Tim described? A boy’s friend cheated off ofhis test. The friend asked the boy not to tell the teacher about it. What strategies did Timemploy to discuss the ethical dilemma? Tim made a pro/con list for the differentconsequences of each of the actions. What advice would you give the boy and why?Would you expect everyone to have the same advice for these situations? What doesthat mean?2. Different people may have different opinions about the right thing to do. Different people mayalso have the same opinion about what to do, but have different reasons for wanting to do it. Theimportant thing is to learn how to understand different opinions and to make the best decisionpossible.3. Have students look at the three ethical dilemmas on their AI ethical dilemma reading page.Students should work with another person to look at the different sides of the ethical dilemma.Students can use the pro-con list and/or perspective taking from different sides to help withtheir reasoning. Give students 20-30 minutes to work on them.4. Ask students to share their reasoning with the class.Ethical DilemmasA. Joe is a fourteen-year-old boy who wanted to go to camp very much. His father promised him hecould go if he saved up the money for it himself. So Joe worked hard at his paper route andsaved up the forty dollars it cost to go to camp, and a little more besides. But just before campwas going to start, his father changed his mind. Some of his friends decided to go on a specialfishing trip, and Joe's father was short of the money it would cost. So he told Joe to give him themoney he had saved from the paper route. Joe didn't want to give up going to camp, so he thinksof refusing to give his father the money. Should Joe refuse to give his father the money?B. Two young men, brothers, had got into serious trouble. They were secretly leaving town in ahurry and needed money. Karl, the older one, broke into a store and stole a thousand dollars.Bob, the younger one, went to a retired old man who was known to help people in town. He toldthe man that he was very sick and that he needed a thousand dollars to pay for an operation.Bob asked the old man to lend him the money and promised that he would pay him back whenhe recovered. Really Bob wasn't sick at all, and he had no intention of paying the man back.Although the old man didn't know Bob very well, he lent him the money. So Bob and Karlskipped town, each with a thousand dollars. Which is worse, stealing like Karl or cheating likeBob?

Intro to Scratch and Arduino RobotsMaterials and PreparationSticky notesLaptops and Wifi connection ds.co.uk/scratchx/?url omebook/arduino extension.js#scratchVocabularyCodingassembling a set of instructions that tells a computer how to do something you want ittoBackdropa picture or drawing that can be placed in the background of a scene in ScratchBlock Palettethe part of the Scratch editor all the way to the left where you can see the differenttypes of code blocks that can be used in the WorkspaceScripta set of blocks that are linked together in order to have a set of actions happen insequenceSpritea character that can be coded in a scene in ScratchStagethe area of the Scratch editor interface where the animations happenWorkspacethe part of the Scratch editor interface in which to place code blocks you want to useto code your animationLesson1 hr 30 minsObjectivesRefresh knowledge of block-based programming in ScratchLearn about extensions in Scratch that work with arduino robotsIntroductionScratch is an online tool that we can use to program games, animations, and videos. The programmingtools are blocks that snap together. The different colors of the blocks distinguish the kind of block it isand what it can do.

We will be using Scratch to program our robot companion. In order to program our robots we will needspecial dark indigo blocks. Today we will go through tutorials to get more familiar with Scratch and withArduino robots.Directions1. Have students take out their robots.2. Have students find the Google Drive document that shows all of the guiding pages for usingScratch and Arduino robots.3. Instruct students to get to know thier Go through the different things that the robot can do measure distance, see colors beneath it, make sounds, do animations, flash a colorful LED.4. Robot Activitiesa. Make a police car (LED lights, sounds, animations)b. Drive in a square (Motors)c. Navigate a maze (IR sensors, motors)d. Chase after objects if they get too close (Ultrasonic distance sensor, Motors,Animations)e. Do a skit that uses all of the blocksNote: If students need inspiration for the last activity, they can check out the following videohttps://www.youtube.com/watch?v 7X64DsFN8gE .፧ DiscussWould you consider the things you built AI? What would have to be different for it to beAI?

ReflectMaterials and PreparationReflection handoutLesson30 minsObjectivesLearn about different perceptions of AI that people have in society and in the classroomIntroductionTo end the first day, students will reflect on the role of AI and technology in their lives.Directions1. For this activity, students will get up and move around the room to vote about their opinion of AI.Explain to students that they should group in different parts of the room according to theiropinions. First, we will do a test. Have students go to one corner if they love pizza, the othercorner if they love ice cream, and the middle if they don’t know or they are somewhere in themiddle.2. Next question: What is the role of technology in your life (can’t live without it - it scares me)?Feel free to let students explain their reasoning.3. Ease - AI might make our day-to-day lives easier because we could ask computers to do moretasks for usa. I am very excited by this possibility - I am very concerned about this possibilityb. I think this is very likely to come true - I think this is very unlikely to come true4. Obsolescence - AI might mean we become over reliant on machines and replace the need forhumans in jobs, relationships, and socializinga. I am very excited by this possibility - I am very concerned about this possibilityb. I think this is very likely to impact me in my lifetime - I think this is very unlikely toimpact me in my lifetime5. Gratification - AI might become the perfect friend, there to listen whenever we need and readyto meet our every desirea. I am very excited by this possibility - I am very concerned about this possibilityb. I think this is very likely to impact me in my lifetime - I think this is very unlikely toimpact me in my lifetime6. Alienation - AI might cater to all our desires so well that we prefer AI interaction to humaninteractiona. I am very excited by this possibility - I am very concerned about this possibilityb. I think this is very likely to come true - I think this is very unlikely to come true7. How strongly do you feel you are able to influence how AI develops in the future (strongly agree- strongly disagree)

End the day by having students use the Reflection handout to write down either: something they learnedabout AI, something AI is useful for, someway AI might cause harm, or a question they have about AI.Give students the opportunity to share if they would like to.

Day 2WelcomeMaterials and PreparationLaptops with ocabularyMachineLearningComputer applications, or apps, that learn about the world without beingprogrammed with instructionsNeuralNetworkA way to do machine learning, loosely modeled after a human brain, that usespatterns to figure out how to label an inputDatasetA collection of information, for machine learning this information is usually pairs ofobjects and their labelsFeaturesCharacteristics of objects that machine learning algorithms use to make decisionsabout how to label themLesson15 minsObjectivesIntroduce students to machine learning and neural networksIntroductionMachine learning is a hot topic in AI. Recently, faster and more powerful computers as well as easieraccess to large datasets have made it easier to develop machine learning systems. Today, students willgo through several machine learning algorithms, beginning with neural networks.A neural network is a computer system roughly modeled on the functions of the human brain. The basicidea is that brains use networks of neurons, a basic cell in the bra

Day 2 1. PB&J Algorithm handout 2. Algorithmic Bias handout 3. Reflection handout 4. Cats and Dogs Dataset cards 5. Playing Cards 6. Instructor Laptop and Projector 7. Student Laptops 8. Robots 9. USB Webcams Day 3 1. Ethical Matrix handouts 2. Final Project Brainstorm handout 3. Final Project Research handout 4. Reflection handout 5.

Related Documents:

djain@mit.edu, sra@mit.edu, jguo01@risd.edu, rvictor@mit.edu, raywu22@mit.edu, juschiu@mit.edu, geek@mit.edu ABSTRACT We present Amphibian, a simulator to experience scuba diving virtually in a terrestrial setting. While existing diving simulators mostly focus on visual and aural di

Alignment of PD resources to educator effectiveness systems Individualized educator growth plans The formative use educator effectiveness information How to understand Growth and/or VAM data How to use Growth and/or VAM data Educator effectiveness data for educator development

year Resident Educator license or alternative Resident Educator license. Beginning teachers, known as Resident Educators, must complete all four years of the program and successfully pass the Resident Educator Summative Assessment (RESA) in order to advance their license to a five-year professional license. The Resident Educator Program and the

PowerBook 145B/80 B1433 MIT 1370 PowerBook Duo 230/ 120 B1432 MIT 2480 ThinkPad 720/160 9552-308 MIT 3245 ThinkPad 720C/160 9552-30J MIT 4540 DeskJet 500 HP-C2106A MIT 370 LaserJet lIP Plus HP-C2007A MIT 790 Value Bundle 4MB RAM/120MB hard disk MIT 1215 Value Bundle

Hui Chen MIT Sloan School of Management 5 Cambridge Center, NE25-730 Cambridge, MA 02142 and NBER huichen@mit.edu Scott Joslin MIT Sloan School of Management 50 Memorial Drive E52-434 Cambridge, MA 02142-1347 sjoslin@mit.edu Ngoc-Khanh Tran 0,7 6ORDQ 6FKRRO RI 0DQDJHPHQW 8 Sixth Street Apt. 2 Cambridge, MA 02141 khanh@MIT.EDU

Great Bear Rainforest — Educator's Guide 4 5 Great Bear Rainforest — Educator's Guide is Douglas Neasloss, chief councillor for the Kitasoo/Xai'Xais Nation. Douglas works with other young people as well to get them engaged and

MIT 401(k) Oversight Committee, 2014-2019. MIT Committee on Graduate Programs, 2017-2019. MIT International Advisory Committee . MITx Faculty Advisory Committee . MIT Sloan: International Initiatives Committee, Co-Chair of Space Committee, Chair of Load Committee, and Member of various standing committees, MIT Sloan School of Management, 2011-2015.

Washington State Office of Superintendent of Public Instruction E-Certification Educator User Guide 6 View Your Credentials Here By clicking on this link, the educator can view their current and prior certification information. Once the educator clicks on the View Your Credentials Here link, he or she is navigated to the redentials screen.