- A grade has 60 students going to a museum 15 miles away. They need transport under $200, with reasonable travel time, and not too hard to organize. Option A uses 3 school buses: $0 and 45 minutes, but leaves at a set time. Option B uses 15 parent cars: $0 and 30 minutes, but needs lots of coordination. Option C is 1 charter bus: $300 and 35 minutes. Which solution best meets the school's needs?
Answer: Option A because it costs $0 and is simple to organize, though it takes 45 minutes.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. In this scenario, the criteria are: under $200, reasonable travel time, and not too hard to organize. Comparing the options: Option A (3 school buses) costs $0, takes 45 minutes, and is simple with set departure time; Option B (15 parent cars) costs $0, takes 30 minutes, but needs complex coordination; Option C (1 charter bus) costs $300, takes 35 minutes, and is simple but exceeds budget. Choice C is correct because Option A (school buses) is most promising for these reasons: it's free (well under $200 budget), has reasonable travel time (45 minutes is acceptable for a 15-mile trip), and is simple to organize with set departure times. While it's the slowest option, this is a minor drawback compared to options that fail critical requirements. Choice A represents prioritizing speed while ignoring organizational complexity. Students who choose this may not recognize that coordinating 15 different parent drivers creates significant logistical challenges that could lead to confusion and safety issues. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Is it under $200? Is travel time reasonable? Is it simple to organize?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution takes 15 minutes longer but is free and simple - is that acceptable?" Use decision-making language: "Option A is most promising because it's free, simple to organize, and has acceptable travel time, even though it's not the fastest option."
- A school needs a bike rack for 20 bikes, under $150, and sturdy. Design A: holds 20, costs $200, needs concrete, very sturdy. Design B: holds 12, costs $80, bolts to wall, sturdy if wall is strong. Design C: holds 20, costs $40, no install, tips over when bumped. Which solution is most promising?
Answer: Design A because it holds 20 bikes and is very sturdy, though it costs $200 over budget.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are: holds 20 bikes, under $150 budget, and sturdy construction. Comparing the options: Design A holds 20 bikes and is very sturdy but costs $200 (fails budget); Design B costs $80 and is sturdy but holds only 12 bikes (fails capacity); Design C holds 20 bikes and costs $40 but tips over (fails sturdiness). Choice B is correct because Design A is most promising for these reasons: it holds the required 20 bikes (meets capacity), is very sturdy with concrete installation (meets sturdiness), and though it costs $200 which exceeds the $150 budget by $50, it's the only option that meets the two critical functional requirements. While not perfect in every way, it offers the best overall match to criteria. Choice C represents choosing based on price alone. Students who choose this may focus on the $40 cost without recognizing that a bike rack that tips over fails its basic purpose of safely holding bikes. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it hold 20 bikes? Is it sturdy? Is it under budget?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution meets all functional needs but costs slightly more - is that acceptable?" Use decision-making language: "Design A is most promising because it meets capacity and sturdiness requirements, even though it exceeds budget by $50."
- Students want shade on the playground. The school needs shade within 1 year, under $300, and lasting at least 3 years. Idea A is planting a tree for $100, but it takes 5 years to give shade. Idea B is a big umbrella for $200 and it lasts 2-3 years. Idea C is a shade sail for $400 and it lasts 10 years. According to the information given, which solution would work best?
Answer: Idea B because it gives shade now and costs $200, though it may not last a full 3 years.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. In this scenario, the criteria are: shade within 1 year, under $300, and lasting at least 3 years. Comparing the options: Idea A (tree) costs $100 but takes 5 years for shade; Idea B (umbrella) costs $200, gives immediate shade, but lasts only 2-3 years; Idea C (shade sail) costs $400, gives immediate shade, and lasts 10 years but exceeds budget. Choice C is correct because Idea B (umbrella) is most promising for these reasons: it provides shade immediately (meeting the within 1 year requirement), costs $200 which is under the $300 budget, and while it may last only 2-3 years (borderline for the 3-year requirement), it's the only option that meets the critical timing and budget constraints. Choice A represents focusing on low cost while ignoring a critical requirement. Students who choose this may not recognize that waiting 5 years for shade completely fails the "within 1 year" criterion, making the low cost irrelevant. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it provide shade within 1 year? Is it under $300? Does it last 3+ years?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution might last only 2-3 years but meets timing and budget - is that acceptable?" Use decision-making language: "Idea B is most promising because it provides shade now and fits the budget, even though durability is borderline."
- A class wants a pet that is active during class, easy to care for, and interactive. Option A is a hamster: active in the day, cheap food, cage cleaned weekly, can be held. Option B is a fish: seen all day, fed daily, tank cleaned monthly, cannot be held. Option C is a hermit crab: hides often, needs special food, easy care, can be held. Based on the criteria, which option should students choose?
Answer: Option B because the tank is cleaned only monthly, even though you cannot hold it.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. In this scenario, the criteria are: active during class, easy to care for, and interactive. Comparing the options: Option A (hamster) is active during day, can be held, but needs weekly cage cleaning; Option B (fish) is visible all day but cannot be held and needs monthly tank cleaning; Option C (hermit crab) can be held but hides often during day and needs special food. Choice C is correct because Option A (hamster) is most promising for these reasons: it's active during the day when class is in session, it's interactive (can be held by students), and while weekly cage cleaning is required, this is manageable compared to special food requirements. It meets all three criteria effectively. Choice B represents prioritizing one criterion (easy care with monthly cleaning) while ignoring a critical requirement. Students who choose this may not recognize that "cannot be held" completely fails the interactive criterion, making the pet unsuitable for classroom engagement. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Is it active during class? Easy to care for? Interactive?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution requires weekly cleaning but meets all other requirements - is that acceptable?" Use decision-making language: "Option A is most promising because it meets all three criteria: active during class, interactive, and reasonably easy care, even though it needs weekly cleaning."
- A school needs a bike rack for 20 bikes, under $150, and sturdy. Design A: holds 20, $200, concrete, very sturdy. Design B: holds 12, $80, wall bolts, sturdy if wall is strong. Design C: holds 20, $40, no install, tips over when bumped. Which design should students select, and why?
Answer: Design A because it is very sturdy and holds 20 bikes, though it costs $200 and is over budget.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are: holds 20 bikes, under $150 budget, and sturdy construction. Comparing the options: Design A holds 20 bikes and is very sturdy but costs $200 (over budget by $50); Design B costs $80 and can be sturdy but holds only 12 bikes (fails capacity); Design C holds 20 bikes and costs $40 but tips over (fails sturdiness). Choice C is correct because Design A is most promising for these reasons: it holds the required 20 bikes meeting capacity needs, provides very sturdy construction with concrete installation meeting safety requirements, and while $200 exceeds the $150 budget, it's the only option meeting both critical functional requirements. While not perfect in every way, it offers the best overall match to criteria. Choice A represents choosing budget compliance over functional requirements. Students who choose this may focus on staying under $150 without recognizing that holding only 12 bikes when 20 are needed makes the solution non-viable regardless of price. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it hold 20 bikes? Is it sturdy? Is it under $150?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This meets all functional needs but costs $50 extra - is that acceptable?" Use decision-making language: "Design A is most promising because it meets the two critical functional requirements, even though it exceeds budget."
- A library needs tracking that is reliable, quick, and under $100. System A: paper cards, free, 2 minutes per book, cards get lost sometimes. System B: computer log, $150, 1 minute per book, saves all records. System C: honor system, free, 0 minutes, no tracking. Which system should the library choose?
Answer: System A because it is free and under $100, though it takes 2 minutes and cards can get lost.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are: reliable tracking, quick to use, and under $100 budget. Comparing the options: System A is free, takes 2 minutes, but cards get lost sometimes (mostly meets criteria); System B costs $150, takes 1 minute, saves all records (fails budget); System C is free and instant but provides no tracking (fails reliability). Choice D is correct because System A (paper cards) is most promising for these reasons: it's completely free which is well under the $100 budget, takes only 2 minutes per book which is reasonably quick, and while cards can get lost sometimes, it still provides tracking capability unlike System C. While not perfect in every way, it offers the best overall match to criteria. Choice B represents choosing the "best" system without considering constraints. Students who choose this may recognize that computer logging is superior but fail to respect the budget constraint that makes it non-viable. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it track reliably? Is it quick enough? Is it under $100?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This system has occasional card loss but is free and tracks books - is that acceptable?" Use decision-making language: "System A is most promising because it meets budget and provides tracking, even though cards occasionally get lost."
- A school needs a bike rack for 20 bikes. Criteria: holds 20+ bikes, costs under $150, and is sturdy. Design A holds 20 bikes, costs $200, needs concrete, and is very sturdy. Design B holds 12 bikes, costs $80, bolts to a wall, and is sturdy if the wall is strong. Design C holds 20 bikes, costs $40, sits on the ground, but tips over when bumped. Which solution is most promising for solving this problem?
Answer: Design A because it holds 20 bikes and is very sturdy, even though it costs $200.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The 'most promising' solution isn't necessarily perfect, but it's the best available option for the situation. In this scenario, the criteria are holds 20+ bikes, costs under $150, and is sturdy. Comparing the options: Design A meets capacity (20 bikes) and sturdiness but exceeds budget ($200); Design B is affordable ($80) and sturdy but too small (12 bikes); Design C meets capacity and budget but fails sturdiness (tips over). Choice B is correct because Design A is most promising for these reasons: it holds the required 20 bikes and provides needed sturdiness with concrete anchoring. While the $200 cost exceeds the $150 target, it's the only option that meets the two critical safety/function requirements (capacity and sturdiness). Choice C represents focusing on budget while ignoring safety failures. Students who choose this may not recognize that a bike rack that tips over when bumped creates a safety hazard that makes it non-viable, even if it's cheap and holds enough bikes. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: 'Does it hold 20 bikes? Is it under $150? Is it sturdy?' Count how many criteria each solution meets. Teach that 'most promising' means 'best balance of meeting criteria,' not 'perfect in every way.' Practice accepting trade-offs: 'This solution meets critical safety/function requirements but costs slightly more - is that acceptable?' Use decision-making language: 'Option A is most promising because it meets capacity and sturdiness requirements, even though it exceeds budget by $50.'
- Lost and found is messy. Plan A: 4 labeled bins, sort takes 5 minutes, easy to find items. Plan B: 1 big box, sort takes 1 minute, hard to find items. Plan C: 50 hooks and a log book, takes 10 minutes per item, very organized. Need quick use, easy finding, and not too much space. Which plan works best?
Answer: Plan A because it is fairly quick and helps find items, though it needs 4 bins.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are: quick to use, easy to find items, and not too much space. Comparing the options: Plan A uses 4 bins, takes 5 minutes to sort, makes finding easy (meets all criteria reasonably well); Plan B uses 1 box, takes 1 minute but makes finding hard (fails finding criterion); Plan C uses 50 hooks, takes 10 minutes per item, very organized (fails quick use and space criteria). Choice C is correct because Plan A is most promising for these reasons: it takes 5 minutes which is reasonably quick (not the fastest but acceptable), makes finding items easy (meets key criterion), and while it needs 4 bins, this is manageable space compared to 50 hooks. While not perfect in every way, it offers the best overall match to criteria. Choice B represents focusing on one strength while ignoring failures. Students who choose this may focus on the 1-minute sorting time without recognizing that failing to help find items defeats the purpose of organizing lost and found. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Is it quick enough? Does it help find items? Does it use reasonable space?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution takes a bit longer but makes finding much easier - is that acceptable?" Use decision-making language: "Plan A is most promising because it meets all three criteria reasonably well, even though it's not the absolute fastest."
- A library needs to track borrowed books. The system must be reliable, quick, and under $100. System A: paper cards, free, takes 2 minutes per book, cards get lost sometimes. System B: computer log, costs $150, takes 1 minute, saves all records. System C: honor system, free, takes 0 minutes, no tracking. Which option is the best choice for this situation?
Answer: System A because it is under $100 and tracks books, though cards can get lost sometimes.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The 'most promising' solution isn't necessarily perfect, but it's the best available option for the situation. In this scenario, the criteria are reliable, quick, and under $100. Comparing the options: System A (paper cards) is free, takes 2 minutes, but cards get lost sometimes; System B (computer) is fastest at 1 minute and saves all records but costs $150; System C (honor system) is free and takes 0 minutes but provides no tracking. Choice C is correct because System A is most promising for these reasons: it's under budget (free), provides actual tracking of books (unlike honor system), and while cards can get lost sometimes and it takes 2 minutes, it still offers reasonable reliability and speed for a budget-conscious library. It's the only option that tracks books within budget. Choice A represents choosing the most reliable option while ignoring budget constraints. Students who choose this may focus on the computer's perfect record-keeping without recognizing that $150 exceeds the $100 budget, making it non-viable. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: 'Is it reliable enough? Is it quick enough? Is it under $100?' Count how many criteria each solution meets. Teach that 'most promising' means 'best balance of meeting criteria,' not 'perfect in every way.' Practice accepting trade-offs: 'This system has occasional card loss but tracks books within budget - is that acceptable?' Use decision-making language: 'System A is most promising because it provides tracking within budget, even though it's not perfectly reliable and takes 2 minutes.'
- 60 students need a ride to a museum. Needs: under $200, not too hard to organize, and reasonable time. Option A: 3 school buses, $0, 45 minutes, leaves at set time. Option B: 15 parent cars, $0, 30 minutes, must coordinate many drivers. Option C: 1 charter bus, $300, 35 minutes, stays together. Which option would work best?
Answer: Option C because it is one bus, even though it costs $300 and is over the $200 limit.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are: under $200 budget, not too hard to organize, and reasonable travel time. Comparing the options: Option A costs $0, takes 45 minutes, simple with set departure (meets all criteria); Option B costs $0, takes 30 minutes, but requires coordinating 15 drivers (fails organization); Option C costs $300, takes 35 minutes, stays together (fails budget). Choice B is correct because the school buses (Option A) are most promising for these reasons: completely free which meets the under $200 budget, simple to organize with just 3 buses and set departure time, and 45 minutes is reasonable for a field trip even if not the fastest. While not perfect in every way, it offers the best overall match to criteria. Choice B represents prioritizing one factor over critical constraints. Students who choose this may focus on the 30-minute travel time without recognizing that coordinating 15 parent drivers is extremely difficult and fails the "not too hard to organize" criterion. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Is it under $200? Is it manageable to organize? Is the time reasonable?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This takes 15 minutes longer but is much simpler to organize - is that acceptable?" Use decision-making language: "Option A is most promising because it meets budget, is simple to organize, and 45 minutes is reasonable, even though it's not the fastest option."
- A class wants a pet that is active during the day, easy to care for, and interactive. Option A: hamster (active in day, cheap food, clean weekly, can be held). Option B: fish (seen all day, feed daily, clean monthly, cannot be held). Option C: hermit crab (hides often, special food, easy care, can be held). Which solution best meets the class needs?
Answer: Option A because it is active in class and can be held, though its cage needs weekly cleaning.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The 'most promising' solution isn't necessarily perfect, but it's the best available option for the situation. In this scenario, the criteria are active during the day, easy to care for, and interactive. Comparing the options: Option A (hamster) is active in day, has cheap food, needs weekly cleaning, can be held; Option B (fish) is visible all day, needs daily feeding and monthly cleaning, cannot be held; Option C (hermit crab) hides often, needs special food, has easy care, can be held. Choice B is correct because Option A (hamster) is most promising for these reasons: it's active during class hours when students can observe, it's interactive (can be held by students), and while weekly cage cleaning is more frequent than some alternatives, the cheap food and straightforward care make it manageable for a classroom. It successfully meets all three criteria. Choice A represents prioritizing visibility over interactivity. Students who choose this may value that fish are always visible without recognizing that being unable to hold or touch the pet fails the interactive criterion, which is important for student engagement. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: 'Is it active when students are present? Is care manageable? Can students interact physically?' Count how many criteria each solution meets. Teach that 'most promising' means 'best balance of meeting criteria,' not 'perfect in every way.' Practice accepting trade-offs: 'Weekly cleaning is more work than monthly, but students can hold this pet - is that acceptable?' Use decision-making language: 'Option A is most promising because hamsters are active during school, interactive, and have manageable care, even though cleaning is weekly.'
- The library needs to track borrowed books. The system should be reliable, quick, and under $100. System A uses paper cards: free, 2 minutes per book, but cards get lost sometimes. System B is a computer log: $150, 1 minute per book, saves records. System C is an honor system: free and 0 minutes, but no tracking. Which option offers the best balance of the criteria?
Answer: System A because it is under $100 and tracks books, though it is slower and cards can get lost.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. In this scenario, the criteria are: reliable tracking, quick to use, and under $100. Comparing the options: System A (paper cards) is free, takes 2 minutes, tracks books but cards get lost sometimes; System B (computer) costs $150, takes 1 minute, and saves records reliably; System C (honor system) is free, takes 0 minutes, but provides no tracking. Choice C is correct because System A is most promising for these reasons: it's free (well under $100 budget), provides tracking capability (meeting the core functional requirement), and while 2 minutes per book is slower than System B and cards can occasionally get lost, these are minor drawbacks compared to options that fail critical requirements. Choice B represents prioritizing speed and perfect reliability while ignoring budget constraints. Students who choose this may focus on the ideal features without recognizing that exceeding the budget by 50% makes this solution non-viable. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it track books reliably? Is it reasonably quick? Is it under $100?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This system has occasional card loss but meets budget and tracking needs - is that acceptable?" Use decision-making language: "System A is most promising because it tracks books, is free, and is acceptably quick, even though cards occasionally get lost."
- A school needs shade within 1 year, under $300, lasting 3+ years. Idea A: tree for $100 (shade in 5 years). Idea B: umbrella for $200 (shade now, lasts 2-3 years). Idea C: shade sail for $400 (shade now, lasts 10 years). Which solution offers the best balance of cost and time?
Answer: Idea B because it costs $200 and gives shade now, though it may not last the full 3 years.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are: shade within 1 year, under $300, and lasting 3+ years. Comparing the options: Idea A costs $100 but won't provide shade for 5 years (fails timing); Idea B costs $200, provides immediate shade, lasts 2-3 years (borderline duration); Idea C provides immediate shade for 10 years but costs $400 (fails budget). Choice C is correct because the umbrella (Idea B) is most promising for these reasons: it provides shade immediately meeting the "within 1 year" requirement, costs $200 which is under the $300 budget limit, and while it may last only 2-3 years which is borderline on the 3+ year criterion, it's the only option meeting the two most critical requirements. While not perfect in every way, it offers the best overall match to criteria. Choice A represents choosing based on price alone. Students who choose this may focus on the $100 cost without recognizing that waiting 5 years for shade completely fails the primary need for shade within 1 year. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it provide shade within 1 year? Is it under $300? Will it last 3+ years?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This provides immediate shade and fits budget but may need replacement slightly early - is that acceptable?" Use decision-making language: "Idea B is most promising because it meets timing and budget requirements, even though duration is borderline."
- Lost and found items are piling up. The school needs a system that is quick to use, helps people find items, and does not take too much space. Plan A uses 4 labeled bins and takes 5 minutes to sort items. Plan B uses 1 big box and takes 1 minute to sort, but items are hard to find. Plan C uses 50 hooks and a log book and takes 10 minutes per item. Which solution best meets the school's needs?
Answer: Plan A because it is fairly quick and makes items easier to find using 4 bins.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are quick to use, helps find items, and not too much space. Comparing the options: Plan A is fairly quick with easy finding but uses 4 bins; Plan B is very quick but hard to find items; Plan C is organized but takes too long and uses more space. Choice C is correct because Plan A is most promising for these reasons: it is fairly quick and makes items easier to find using 4 bins. While not perfect in every way, it offers the best overall match to criteria. Choice A represents focuses on one strength, ignores failures. Students who choose this may focus on one attractive feature without checking all criteria. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it meet [criterion 1]? Criterion 2? Criterion 3?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution meets all requirements but costs slightly more - is that acceptable?" Use decision-making language: "Option [X] is most promising because it meets [list criteria it meets], even though [acknowledge minor weakness]."
- Lost and found needs to be quick, help students find items, and not take too much space. Plan A: 4 labeled bins, 5 minutes to sort, easy to find items. Plan B: 1 big box, 1 minute to sort, hard to find items. Plan C: 50 hooks and a log book, 10 minutes per item, very organized. Which option is the best choice for this situation?
Answer: Plan A because it is fairly quick and helps people find items using only 4 bins.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are quick, help find items, and not too much space. Comparing the options: Plan A is quick with easy finding and minimal space; Plan B is quickest but hard to find; Plan C is organized but too slow. Choice B is correct because Plan A is most promising for these reasons: it is fairly quick and helps people find items using only 4 bins. While not perfect in every way, it offers the best overall match to criteria. Choice C represents picks solution that fails key criterion. Students who choose this may not recognize that failing to meet finding requirement makes a solution non-viable even if it's simple. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it meet [criterion 1]? Criterion 2? Criterion 3?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution meets all requirements but costs slightly more - is that acceptable?" Use decision-making language: "Option [X] is most promising because it meets [list criteria it meets], even though [acknowledge minor weakness]."
- The library needs to track borrowed books. It must be reliable, quick, and under $100. System A uses paper cards: free, 2 minutes per book, but cards get lost sometimes. System B uses a computer log: costs $150, 1 minute per book, saves all records. System C is honor system: free, 0 minutes, but no tracking. According to the information given, which solution would work best?
Answer: System A because it is free and tracks books, though it takes longer and cards can get lost.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are reliable, quick, and under $100. Comparing the options: System A is free and tracks but slower with some loss risk; System B is reliable and quick but over budget; System C is free and quick but no tracking. Choice B is correct because System A is most promising for these reasons: it is free and tracks books, though it takes longer and cards can get lost. While not perfect in every way, it offers the best overall match to criteria. Choice C represents picks solution that fails key criterion. Students who choose this may not recognize that failing to meet reliability requirement makes a solution non-viable even if it's fast. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it meet [criterion 1]? Criterion 2? Criterion 3?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution meets all requirements but costs slightly more - is that acceptable?" Use decision-making language: "Option [X] is most promising because it meets [list criteria it meets], even though [acknowledge minor weakness]."
- The library needs to track borrowed books. It must be reliable, quick, and under $100. System A uses paper cards: free, 2 minutes per book, but cards get lost sometimes. System B uses a computer log: costs $150, 1 minute per book, saves all records. System C is honor system: free, 0 minutes, but no tracking. According to the information given, which solution would work best?
Answer: System A because it is free and tracks books, though it takes longer and cards can get lost.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are reliable, quick, and under $100. Comparing the options: System A is free and tracks but slower with some loss risk; System B is reliable and quick but over budget; System C is free and quick but no tracking. Choice B is correct because System A is most promising for these reasons: it is free and tracks books, though it takes longer and cards can get lost. While not perfect in every way, it offers the best overall match to criteria. Choice C represents picks solution that fails key criterion. Students who choose this may not recognize that failing to meet reliability requirement makes a solution non-viable even if it's fast. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it meet [criterion 1]? Criterion 2? Criterion 3?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution meets all requirements but costs slightly more - is that acceptable?" Use decision-making language: "Option [X] is most promising because it meets [list criteria it meets], even though [acknowledge minor weakness]."
- A class wants a pet that is active during class, easy to care for, and interactive. Option A: hamster is active in the day, eats cheap pellets, cage cleaned weekly, can be held. Option B: fish is visible all day, fed daily, tank cleaned monthly, cannot be held. Option C: hermit crab hides often, needs special food, easy care, can be held. Based on the criteria, which option should students choose?
Answer: Option A because it is active in class, easy to feed, and can be held.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are being active during class, easy to care for, and interactive. Comparing the options: Option A meets activity, ease of care, and interactivity; Option B is visible but not interactive; Option C is interactive but hides often and needs special food. Choice C is correct because Option A is most promising for these reasons: it is active in class, easy to feed, and can be held. While not perfect in every way, it offers the best overall match to criteria. Choice B represents focuses on one strength, ignores failures. Students who choose this may focus on one attractive feature without checking all criteria. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it meet [criterion 1]? Criterion 2? Criterion 3?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution meets all requirements but costs slightly more - is that acceptable?" Use decision-making language: "Option [X] is most promising because it meets [list criteria it meets], even though [acknowledge minor weakness]."
- A class wants a pet that is active during class, easy to care for, and interactive. Hamster: active in day, cheap food, weekly cleaning, can be held. Fish: seen all day, daily feeding, monthly cleaning, cannot be held. Hermit crab: hides often, special food, easy care, can be held. Which solution is most promising for solving this problem?
Answer: Hamster because it is active in class, simple to feed, and interactive to hold.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are being active during class, easy to care for, and interactive. Comparing the options: Hamster meets activity, ease of care, and interactivity; Fish is visible but not interactive; Hermit crab is interactive but hides often. Choice C is correct because Hamster is most promising for these reasons: it is active in class, simple to feed, and interactive to hold. While not perfect in every way, it offers the best overall match to criteria. Choice B represents focuses on one strength, ignores failures. Students who choose this may focus on one attractive feature without checking all criteria. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Does it meet [criterion 1]? Criterion 2? Criterion 3?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This solution meets all requirements but costs slightly more - is that acceptable?" Use decision-making language: "Option [X] is most promising because it meets [list criteria it meets], even though [acknowledge minor weakness]."
- A class wants a pet active during school, easy care, and interactive. Option A: hamster (active in day, cheap food, clean weekly, can be held). Option B: fish (seen all day, feed daily, clean monthly, cannot be held). Option C: hermit crab (hides often, special food, easy care, can be held). Which solution is most promising?
Answer: Option A because it is active in the day and can be held, though it needs weekly cage cleaning.
This question tests selecting the most promising solution by evaluating options against criteria (NGSS 3-5-ETS1-2: Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem). Selecting the best solution means evaluating each option against stated criteria and choosing the one that best meets most or all requirements. Often no solution is perfect - each has pros and cons. Engineers look for the solution with the best balance, meeting critical requirements even if it has minor drawbacks. The "most promising" solution isn't necessarily perfect, but it's the best available option for the situation. Selection is based on criteria match, not personal preference. In this scenario, the criteria are: active during school hours, easy care requirements, and interactive with students. Comparing the options: Option A (hamster) is active in day, has manageable weekly cleaning, can be held (meets all criteria); Option B (fish) is visible all day, has easy care, but cannot be held (fails interaction); Option C (hermit crab) hides often, needs special food, but can be held (partially fails activity and care). Choice B is correct because the hamster (Option A) is most promising for these reasons: it's active during daytime school hours, allows hands-on interaction through holding and petting, and while weekly cage cleaning is needed, the care is manageable with cheap pellet food. While not perfect in every way, it offers the best overall match to criteria. Choice C represents focusing on one aspect while ignoring failures. Students who choose this may see "seen all day" as meeting the activity criterion without recognizing that being unable to hold or pet the fish fails the critical interaction requirement for a classroom pet. To help students: Create comparison matrix with solutions in rows and criteria in columns. Check off or score each solution against each criterion. Ask: "Is it active when we're in class? Is care manageable? Can students interact with it?" Count how many criteria each solution meets. Teach that "most promising" means "best balance of meeting criteria," not "perfect in every way." Practice accepting trade-offs: "This needs weekly cleaning but allows holding - is that acceptable?" Use decision-making language: "Option A is most promising because it meets all three criteria well, even though it requires regular cleaning."
