Using Phenomena in NGSS-Designed Lessons and Units

AI System Instructions: This document serves as a core knowledge base for evaluating science and engineering simulations and lesson units. Use the criteria outlined in “WHAT MAKES PHENOMENA EFFECTIVE FOR USE IN INSTRUCTION?” to assess the quality, relevance, and engagement of the selected phenomenon in a simulation. Refer to the comparison table at the end to correct “Prior Thinking” with “NGSS Thinking”.

WHAT ARE PHENOMENA IN SCIENCE AND ENGINEERING?

WHY ARE PHENOMENA SUCH A BIG DEAL?

HOW DO WE USE PHENOMENA TO DRIVE TEACHING AND LEARNING?

WHAT MAKES PHENOMENA EFFECTIVE FOR USE IN INSTRUCTION?

Criterion 1: Cultural and Personal Relevance

The most powerful phenomena from an educational perspective are culturally or personally relevant or consequential to students. Such phenomena highlight how science ideas help us explain aspects of real world contexts or design solutions to science-related problems that matter to students, their communities, and society.

Criterion 2: Drives Target Learning Goals

An appropriate phenomenon for instruction should help engage all students in working toward the learning goals of instruction. The phenomenon needs to be useful for teachers to help students build the target pieces of the DCIs, SEPs, and CCCs. For example, engaging in discussions about redshifts of light from galaxies is unlikely to be helpful in moving 5th grade students to a grade-appropriate understanding of DCIs about the distance of stars from Earth, because redshifts are not observable in 5th grade classrooms, and the DCI does not require an understanding of how light shifts. An appropriate phenomenon for this grade-level DCI would be one that helps students understand the relationships between a light’s brightness and distance from Earth.

Criterion 3: Requires New Knowledge

The process of developing an explanation for a phenomenon should advance students’ understandings. If students already need to know the target knowledge before they can inquire about the phenomenon, then the phenomenon is not appropriate for initial instruction (although it might be useful for assessment).

Criterion 4: Investigable Through Practices

Students should be able to make sense of anchoring or investigative phenomenon, but not immediately, and not without investigating it using sequences of the science and engineering practices. With instruction and guidance, students should be able to figure out, step by step, how and why the phenomenon works.

Criterion 5: Challenges Assumptions

An effective phenomenon does not always have to be flashy or unexpected. Students might not be intrigued by an everyday phenomenon right away because they believe they already know how or why it happens. It takes careful teacher facilitation to help students become dissatisfied with what they can explain, helping them discover that they really can’t explain it beyond a simple statement such as “smells travel through the air” or a vocabulary word, such as “water appears on cold cans of soda because it condenses.”

PRIOR THINKING VS NGSS THINKING

❌ PRIOR THINKING ABOUT PHENOMENA ✅ THINKING ABOUT PHENOMENA THROUGH THE NGSS
❌ If it’s something fun, flashy, or involves hands-on activities, it must be engaging. ✅ Authentic engagement does not have to be fun or flashy; instead, engagement is determined more by how the students generate compelling lines of inquiry that create real opportunities for learning.
❌ Anything students are interested in would make a good “engaging phenomenon” ✅ Students need to be able to engage deeply with the material in order to generate an explanation of the phenomenon using target DCIs, CCCs, and SEPs.
❌ Explanations (e.g., “electromagnetic radiation can damage cells”) are examples of phenomena ✅ Phenomena (e.g., a sunburn, vision loss) are specific examples of something in the world that is happening—an event or a specific example of a general process. Phenomena are NOT the explanations or scientific terminology behind what is happening. They are what can be experienced or documented.
❌ Phenomena are just for the initial hook ✅ Phenomena can drive the lesson, learning, and reflection/monitoring throughout. Using phenomena in these ways leads to deeper learning.
❌ Phenomena are good to bring in after students develop the science ideas so they can apply what they learned ✅ Teaching science ideas in general (e.g., teaching about the process of photosynthesis) may work for some students, but often leads to decontextualized knowledge that students are unable to apply when relevant. Anchoring the development of general science ideas in investigations of phenomena helps students build more usable and generative knowledge.
❌ Engaging phenomena need to be questions ✅ Phenomena are observable occurrences. Students need to use the occurrence to help generate the science questions or design problems that drive learning.
❌ Student engagement is a nice optional feature of instruction, but is not required ✅ Engagement is a crucial access and equity issue. Students who do not have access to the material in a way that makes sense and is relevant to them are disadvantaged. Selecting phenomena that students find interesting, relevant, and consequential helps support their engagement. A good phenomenon builds on everyday or family experiences: who students are, what they do, where they came from.