Help students sharpen their skills of inquiry and critical thinking and see that science is all around them! This student-centered, active learning unit helps students build resilience and growth mindsets as they approach scientific methods. Features 3 early career women in STEM!
Students will build question webs, draw comics, create hypotheses, and plan studies, all based on their own interests. Supported by videos that feature exciting new research, crafted specifically to interact with this learning experience.
Sets the goals and tone for the unit. Science is more than a single method. It's a journey!
Indigenous ethnobotanist Rose Bear Don’t Walk demonstrates how scientists generate complex webs of higher-level questions.
MIT-based biomechanical engineer Dr. Ritu Raman talks about hypotheses as a way of expressing curiosity about the world.
Cryoseismologist Celeste Labedz explains the importance of planning and teamwork prior to a season of fieldwork atop a glacier.
In Part 1, cryoseismologist Celeste Labedz sets the stage for a season of data collection atop a glacier.
In Part 2, cryoseismologist Celeste Labedz's team is faced with a data dilemma, what would do in this situation?
In Part 3, cryoseismologist Celeste Labedz's team reveals what they did when faced with a data detour from their original plan.
Students will be able to...
Practice forming and sharing higher-level, scientific questions.
Build questioning capacity through learning about the story and scientific work of ethnobotanist Rose Bear Don't Walk.
Understand several challenges in asking higher-level, scientific questions.
Reflect upon their own challenges and triumphs when asking questions in science.
Presentation (Lesson 1)
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Teacher Worksheet (Lesson 1)
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Student Worksheet (Lesson 1)
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5 min: Engage
Crafting Questions: Round 1 (Individual)
Crafting Questions: Round 1 (Individual)
To begin the lesson, students spend a few minutes individually writing down as many questions that they can related to an image of a wild rose.
10 min: Explore
Asking Questions with an Ethnobotanist
Asking Questions with an Ethnobotanist
Students watch a video that introduces them to Rose Bear Don't Walk; an ethnobotanist who loves asking questions! ▶ How to Ask Better Science Questions
15 min: Elaborate
Crafting Questions: Round 2 (Small Group)
Crafting Questions: Round 2 (Small Group)
In small groups, students spend a few minutes writing down higher-level questions about an image of a huckleberry.
After round 2, students will likely realize that working in teams and building upon Rose's work made it easier to form higher-level questions.
Question Web Challenge
Question Web Challenge
Each student starts by writing a question that they are genuinely curious about, then they pass their worksheet to the left. They will add an additional question that builds upon the previous person's question, creating a question web.
15 min: Evaluate
Navigating Challenges
Navigating Challenges
Students listen to what challenged Rose as a young scientist and what she learned along the way.
Villains of Question-Asking
Villains of Question-Asking
Students identify general challenges with asking questions by coming up with descriptions for "question-asking villains".
Map your question-asking journey!
Map your question-asking journey!
Students reflect upon their journey in asking questions, filled with unique challenges and triumphs.
Ideas and resources for deepening learning on this topic.
Have students dive into the science of ethnobotany by reading this short scientific review article.
Another great introductory paper about ethnobotany/ethnobiology.
Students can dive into Rose's Master's thesis paper!
Students will be able to...
Understand the definition of a hypothesis and what makes a hypothesis testable.
Appreciate the creativity and ingenuity involved in developing hypotheses through the story of biomechanical engineer Ritu Raman.
Generate numerous hypotheses connected to a research question.
Evaluate if hypotheses are specific, testable, and answered with data.
Presentation (Lesson 2)
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Teacher Worksheet (Lesson 2)
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Student Worksheet (Lesson 2)
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Card/ Table (Lesson 2)
10 min: Engage
Card Sort Activity
Card Sort Activity
Students will start the lesson by sorting 5 different cards into "testable" or "not testable", followed by a group discussion.
25 min: Explore
What is a hypothesis?
What is a hypothesis?
Students get to know the definition of a hypothesis from biomechanical engineer Ritu Raman and learn how she uses them in her work (Video: ▶ How to create hypotheses? A biomechanical engineer explains).
How many hypotheses can you create?
How many hypotheses can you create?
Given a student-relevant observation and research question, students generate as many hypotheses as possible.
10 min: Evaluate
Check your hypotheses
Check your hypotheses
Students evaluate their hypotheses for specificity, testability, and if they can be answered with data.
Ideas and resources for deepening learning on this topic.
Students can learn more about how Ritu's engineering work is similar to being a "biological architect".
This is a more advanced article about the incredible potential of Ritu's engineering work.
Students will be able to...
Analyze the role of hypotheses in scientific investigations and understand situations where data collection might proceed without a hypothesis
Develop strategies to adapt and continue data collection in the face of unexpected challenges
Collaborate to design a comprehensive data collection plan and anticipate potential challenges
Identify and describe various types of data that can be collected to understand phenomena.
Presentation (Lesson 3)
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Student Worksheet (Lesson 3)
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Teacher Worksheet (Lesson 3)
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Handout (Lesson 3)
20 min: Engage
Brainstorm
Brainstorm
Students begin by brainstorming what data they could collect if they were an "alien humanologist." Afterwards, students watch a short video clip featuring cryoseismologist Celeste Labedz.
4 min video introducing Data Collection
Brainstorm
Brainstorm
After watching a short video, students brainstorm multiple data points that could be gathered in order to better understand their classroom.
10 min: Explain
What's your data detour?
What's your data detour?
Students watch a series of three 1-minute videos of Celeste Labedz describing a moment where she had to change her data collection plan. In between each video, they grapple with what they would do!
15 min: Elaborate
Plan your study!
Plan your study!
Students use a customized graphic organizer to plan their own study. A key component is to list potential hazards and brainstorm strategies to salvage their study.
SciJourneys_Assessment
Digital form for pre/post test assessment. See printable teacher version for evaluation guidance.
SciJourneys_Pre-Post Assessment (TEACHER KEY)
Printable assessment
SciJourneys_Pre-Post Assessment (STUDENT)
Printable assessment
Have your students map out their own SciJourneys, annotate challenges and solutions at each step, or document the journey of a scientific study described in a paper they investigate on their own. Download formats:
More bonus resources:
SciJourneys grew out of a podcast series featuring 6 women in STEM. Check out the original animated podcast Verbing Science! series here.
To break open the steps of the traditional scientific method, students will follow in the footsteps of young, accomplished women scientists across a broad range of disciplines, including ethnobotany, biomechanical engineering, and cryoseismology. By exploring the diverse paths these scientists have navigated, students will gain a richer, more nuanced understanding of what science entails and also challenge preconceived notions of who can be a scientist.
The scientific method is typically taught in science classrooms as a series of content-stripped steps that can guide students’ inquiry. However, teaching science as a journey by following in scientists’ footsteps emphasizes the dynamic and diverse nature of scientific inquiry. This approach allows students to understand that science is not a linear process and that scientists grapple with challenges, setbacks, and unexpected findings. By acknowledging the difficulties inherent in scientific inquiry, students will develop strategies to overcome these challenges and build resilience. This perspective encourages deeper engagement with scientific processes and fosters a more realistic and inspiring view of what it means to be a scientist.
Scientific Articles
Dimension: Language, Speaking & Listening
In Lesson 1, students interpret information from ethnobotanist Rose Bear Don't Walk to build their questioning capacity, and in Lesson 3, they interpret information from cryoseismologist Celeste Labedz to analyze the role of hypotheses in scientific investigations.
Dimension: Science & Engineering Practices
In Lesson 1, students observe an image and write down as many questions as they can related to it; in Lesson 2, they observe and categorize hypotheses, asking questions to determine if they can be tested; and in Lesson 3, they ask questions to determine what data they would need to collect to better understand a phenomenon.
Students plan an investigation centered around data collection, either individually or collaboratively.
Students plan to collect data in a controlled environment to answer scientific questions, preparing for potential challenges.
Dimension: Peace and Prosperity
Each lesson focuses on research conducted by innovative women in STEM: ethnobotanist Rose Bear Don't Walk, biomechanical engineer Ritu Raman, and cryoseismologist Celeste Labedz.
Dimension: Social Awareness & Relationships
Students practice forming and sharing questions within a group setting.
Dimension: Measurement, Data, Probability & Statistics
Students create and describe the characteristics they are investigating, including the units of measurement.
Dimension: Language, Speaking & Listening
In Lesson 1, students practice forming and sharing questions through collaborative discussions; in Lesson 2, they engage in collaborative discussions to generate and categorize hypotheses; and in Lesson 3, they participate in discussions to identify and describe various types of data that can be collected to understand phenomena.
In Lesson 1, students present their higher-level questions to the class, practicing clear and logical presentation skills, and in Lesson 2, they present and evaluate their hypotheses to ensure they are specific, testable, and data-driven.
Students follow guidelines for collaborative discussions to develop strategies for adapting and continuing data collection.
Students prepare to discuss the questioning process demonstrated by Rose Bear Don't Walk and build their questioning capacity.
In Lesson 1, students reflect on their own experiences and paraphrase key ideas discussed, while in Lesson 2, they review and reflect on key ideas expressed by Ritu Raman in the video clips.
In Lesson 2, students pose and respond to questions about what makes a hypothesis testable, and in Lesson 3, they pose and respond to questions to collaboratively design a comprehensive data collection plan.
In Lesson 1, students practice forming and sharing questions through collaborative discussions; in Lesson 2, they engage in collaborative discussions to generate and categorize hypotheses; and in Lesson 3, they participate in discussions to identify and describe various types of data that can be collected to understand phenomena.
In Lesson 1, students present their higher-level questions to the class, practicing clear and logical presentation skills, and in Lesson 2, they present and evaluate their hypotheses to ensure they are specific, testable, and data-driven.
Students follow guidelines for collaborative discussions to develop strategies for adapting and continuing data collection.
In Lesson 1, students reflect on their own experiences and paraphrase key ideas discussed, while in Lesson 2, they review and reflect on key ideas expressed by Ritu Raman in the video clips.
Throughout lessons 2 and 3 students work collaboratively to generate questions and drive solutions.
Dimension: Science & Engineering Practices
In Lesson 1, students work in groups to brainstorm higher-level scientific questions about an image, ensuring the questions are evidence-based; in Lesson 2, they identify the empirical evidence needed to test hypotheses during a discussion activity; and in Lesson 3, they reflect on their questions and consider the empirical evidence required to answer them.
In Lesson 2, students ask questions to determine relationships and modify non-testable hypotheses into testable ones, and in Lesson 3, they explore the relationship between collected data and forming hypotheses to determine which questions can be tested.
Students create questions that can be explored with available resources and make hypotheses based on what they observe.
In Lesson 1, students construct explanations based on evidence and learn about scientific principles through Rose Bear Don’t Walk's story, and in Lesson 2, they reflect on how scientific methods and principles are used to validate hypotheses, constructing explanations based on evidence.
In Lesson 1, students generate questions that can be investigated within the classroom environment, framing hypotheses based on observations; in Lesson 2, they create testable hypotheses using available classroom resources; and in Lesson 3, they generate questions to investigate with available resources and frame hypotheses based on observations.
Students use scientific principles to create and revise hypotheses, making sure they are specific, testable, and data-driven.
In Lesson 1, students learn from Rose Bear Don’t Walk's questioning techniques and apply them to their own questions; in Lesson 2, they clarify what makes a hypothesis testable by discussing the evidence and premises involved; and in Lesson 3, they clarify what data is needed to understand a phenomenon, enhancing their ability to ask precise questions.
In Lesson 1, students collaboratively build higher-level questions centered around a common phenomenon, and in Lesson 3, they collaboratively plan an investigation centered around data collection.
In Lesson 1, students challenge their initial questions and develop more refined ones to enhance their critical thinking skills; in Lesson 2, they challenge and refine the premises of hypotheses to better understand their testability; and in Lesson 3, they challenge their assumptions about the necessity of hypotheses in all scientific studies.
In each lesson, students gather and synthesize information from scientists and their methods to understand data collection in scientific research.
In Lesson 1, students observe an image and write down as many questions as they can related to it; in Lesson 2, they observe and categorize hypotheses, asking questions to determine if they can be tested; and in Lesson 3, they ask questions to determine what data they would need to collect to better understand a phenomenon.
In each lesson students generate questions relevant to a phenomenon and evaluate if the question is testable in terms of what type of data can be collected.
In Lesson 2, students ask questions to determine relationships and modify non-testable hypotheses into testable ones, and in Lesson 3, they explore the relationship between collected data and forming hypotheses to determine which questions can be tested.
Students plan to collect data in a controlled environment to answer scientific questions, preparing for potential challenges.
Students create questions that can be explored with available resources and make hypotheses based on what they observe.
Students plan an investigation centered around data collection, either individually or collaboratively.
In Lesson 1, students construct explanations based on evidence and learn about scientific principles through Rose Bear Don’t Walk's story, and in Lesson 2, they reflect on how scientific methods and principles are used to validate hypotheses, constructing explanations based on evidence.
In Lesson 1, students generate questions that can be investigated within the classroom environment, framing hypotheses based on observations; in Lesson 2, they create testable hypotheses using available classroom resources; and in Lesson 3, they generate questions to investigate with available resources and frame hypotheses based on observations.
Students use scientific principles to create and revise hypotheses, making sure they are specific, testable, and data-driven.
In Lesson 1, students learn from Rose Bear Don’t Walk's questioning techniques and apply them to their own questions; in Lesson 2, they clarify what makes a hypothesis testable by discussing the evidence and premises involved; and in Lesson 3, they clarify what data is needed to understand a phenomenon, enhancing their ability to ask precise questions.
In Lesson 1, students collaboratively build higher-level questions centered around a common phenomenon, and in Lesson 3, they collaboratively plan an investigation centered around data collection.
In Lesson 1, students challenge their initial questions and develop more refined ones to enhance their critical thinking skills; in Lesson 2, they challenge and refine the premises of hypotheses to better understand their testability; and in Lesson 3, they challenge their assumptions about the necessity of hypotheses in all scientific studies.
In each lesson, students gather and synthesize information from scientists and their methods to understand data collection in scientific research.
Dimension: Disciplinary Core ideas
Students analyze the role of hypotheses and explore situations where data collection can proceed without them.
Students develop strategies to adapt and continue data collection when faced with unexpected challenges, refining their approach through repeated iterations.
Students work together to create a data collection plan, using clear steps to find solutions and prepare for challenges.
Students analyze the role of hypotheses and explore situations where data collection can proceed without them.
Students develop strategies to adapt and continue data collection when faced with unexpected challenges, refining their approach through repeated iterations.
Dimension: Peace and Prosperity
In Lessons 1 and 3, students collaboratively practice forming and sharing higher-level questions in an open, equitable environment, leading to planning an investigation.
Dimension: Responsibility
Students consider ethical and societal factors when deciding whether to form hypotheses.
Students develop systematic strategies to adapt data collection methods when faced with challenges.
Students use problem-solving skills to design a data collection plan and anticipate challenges.
Students take responsibility for finding and describing different types of data to understand phenomena.
Dimension: Social Awareness & Relationships
Students learn from Rose Bear Don’t Walk's questioning techniques and use them to improve their own questions.
Students reflect on Ritu Raman’s creative approach to developing hypotheses and learn to appreciate different scientific methods.
Students consider various perspectives while generating hypotheses.
Dimension: Self Awareness & Self Management
Students identify the personal challenges they face when asking higher-level questions.
Students reflect on their own experiences and feelings about asking questions in science.
Students develop confidence in their ability to identify and test hypotheses.
Students set goals to create testable hypotheses and evaluate their success.
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Stephanie Rapciak: Led the project, spearheaded all curricular materials, co-developed framework, and produced videos
Matt Wilkins: Co-developed framework, produced videos, contributed to all curricular materials
Jocelyn Bosley: Formulated project vision, co-developed framework, provided science communication expertise
Katie Capp, PhD: Helped align to standards and finalize all materials
Stephanie Castillo: Produced and edited all videos
Anna Wilkins: Developed vision for framework figures and created all illustrations
Illustrator for banner, SciJourneys map, and many other supporting materials
Provided valuable feedback prior to release
Helped design layout for Research Planning Canvas (for L3)
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