This page serves as the syllabus for the STAT 597.005--Statistics Education: From Theory to Practice course in Spring 2024. Feel free to scroll through the page and/or use the navigation links I've provided. If you find something that doesn't work, please let me know so I can fix it.
Last Updated: 1/9/2024
This course is a collaborative effort with the University of Minnesota & Michigan State University exploring research and practice related to Stochastics Edcuation (Statistics, Data Science, and Probability) intended for graduate students interested in such research. Each week typically includes a discussion of literature on a specific topic and then most weeks include a video conference with a prominent author/expert on the subject, jointly hosted by the combined group at PSU, UMinn, & MSU.
Our course meets once a week, in person, all semester with the exception of university holidays and closures.
Changes of venue (as needs arise) will be announced via email as soon as possible. We will leverage the Owl system in Thomas 327 to coordinate with our guest speakers and other remote guests.
The primary instructor for this semester is Neil J. Hatfield. I use he/him/his pronouns and am readily reachable via Penn State email. You can also connect with me through Microsoft Teams and by phone at (814) 863-7664.
I encourage students to come visit with me in person when possible. My office is Thomas 425A. I have an open door policy. As the semester gets underway, I will announce when I have Student Hours scheduled for this course. Student Hours will be held in Thomas 425A.
There are no course specific materials that you will need to purchase. For the required and optional readings, I will make the references available in Canvas. Part of becoming an independent researcher is practicing tracking down articles such as using your university's library system, using online databases, contacting the author(s), or individuals who might have a copy. Please do not pay to access any of these articles. If you are having trouble tracking down or accessing any article, please see Neil.
Like many other courses, you will need 1) access to a computer, 2) access to the internet, and 3) some form of document preparation system (e.g., Microsoft Word, LibreOffice, LaTeX, Markdown, etc.). If you are in-need of a computer, there are a few located within the department (Thomas 420, Thomas 425a) as well as around campus (see Student Computing Labs for more information).
I highly recommend that if you do not already have and use a citation management system, that you begin using one. I use Zotero but there are others (e.g., Mendeley, EndNote). Check out the PSU Libraries' Citation and Writing Guide for Citation Tools for more information.
We will use Canvas as a course site in addition to this public Course FAQ (syllabus) page.
The goals of the course are to introduce students to contemporary topics in Stochastics Education Research in order to inform future research interests and/or refine understanding of teaching, learning, and assessment.
We have adopted the following learning objectives for this course.
All members of our class community have responsibilities.
The Spring 2024 class came up with the following responsiblities for themsleves.
The Spring 2024 class came up with the following responsibilities for the instructor.
Attendance and participation are vitally important for our class community. Attending each class session is an important part of becoming a professional member of our community. However, attendance alone will not guarantee that each person will get the most they can out of the course. This is where your participation comes into play. I will do what I can to provide a variety of ways for people to participate.
You will need to attend each class session baring illness, participation in a Univeristy sanctioned event, or religious observance/practice. Please let me know if you are going to be absent. Abscences can jeopardize your final course grade.
Students who are absent three or more times throughout the semester may receive a failing grade for the course. (Note: Three abscences is equivalent to missing 20% of the course.)
Given that this course is primarily discussion based, your participation is absolutely necessary. For this course, we agreed to define participation as:
There is intential overlap between student responsibilities and our definition of participation.
This course is meant to provide students with an opportuntity to begin and/or continue their journey along the path of Stochastics Education research. To this end, my approach to assessment for this course is pragmatic in nature and focused on your development as a researcher. This said, I want to acknowledge that while this course focuses on Stochastics Education, the vast majority of the research skills you'll develop in this course are transferrable to other areas of research.
For the most part, assignments in this course come in following types/flavors. All assignments are meant to help you get the most out of this course and to support everyone in having a productive class session.
Generally speaking, late submissions can have a negative impact not only on yourself but the rest of our class community. Given the discussion-centered nature of this course, not completing reading assignments ahead of class will greatly harm our community. We want to be the best community members that we can be and support everyone.
This also means that we need to be able to show and give grace to each other. We must all acknowledge that sometimes unexpected things occur and can cause problems. To this end, we need to keep open lines of communication. Reach out me and keep me informed of external pressures. This will help us find submission times that work for people.
This course will not have any tests or exams. We will not have a final exam.
In adherence with my pragmatic approach to grading, a core idea to hold onto is that points don't really matter when it comes to grading a course like this. What is important are the experiences you have and the reflections you do. There are no grading categories and thus no weights on assignments. The following table provides some hallmarks that I believe correspond with each letter grade.
Course Letter Grade | Hallmarks |
---|---|
A | The student goes beyond the B description by completing all assignments in satisfactory ways. Their work reflects a commitment to their development as a researcher. |
B | The student attended all classes and made meaningful contributions. They completed most assignments in satisfactory ways, and were an active participant in the class community. |
C | The student attended most classes but only occassionally made meaningful contributions to class. They completed most assignments at a boarderline level of satisfaction. |
D | The student generally did not attend class and/or meaningfully participate in the class. They some assignments at a surface/unsatisfactory level. For the Literature Review assignment they might have only submitted once or had a second submission that was essentially the same as their first submission. |
F |
Any of the following, including combinations:
|
Week | Topic | Guest |
---|---|---|
Jan. 8 | First Day of Class | No guest |
Jan. 15 | MLK Day-No Class | No guest |
Jan. 22 | History of Statistics and Data Science Education | Andy Zieffler, University of Minnesota |
Jan. 29 | Overview of Research in Statistics Education | Dennis Pearl, PSU, Director of CAUSE |
Feb. 5 | Reform Pedagogy | Samantha Prins, James Madison University |
Feb. 12 | Teaching Intro Stats using Simulation-Based Inference | Catherine Case |
Feb. 19 | Data Science Education | TBA |
Feb. 26 | Beyond Intro Stats | Student Driven Week |
Mar. 4 | Spring Break-No Class | No guest |
Mar. 11 | Assessment | Doug Whitaker, Mount Saint Vincent University |
Mar. 18 | Accessibility and Inclusion | TBA |
Mar. 25 | Challenges in Teaching | Student Driven Week |
Apr. 1 | Guidelines for Assessment and Instruction in Statistics Education (GAISE) | TBA |
Apr. 8 | Landmark Papers in Statistics Education | TBA |
Apr. 15 | Technology | TBA |
Apr. 22 | Statistics Education: Looking Back and Looking Forward | TBA |
As a class community, we need to be respectful and welcoming of all members. Inclusive practices start from day one and are important to me.
The Pennsylvania State University campuses are located on the original homelands of the Erie, Haudenosaunee (Seneca, Cayuga, Onondaga, Oneida, Mohawk, and Tuscarora), Lenape (Delaware Nation, Delaware Tribe, Stockbridge-Munsee), Monongahela, Shawnee (Absentee, Eastern, and Oklahoma), Susquehannock, and Wahzhazhe (Osage) Nations. As a land grant institution, we acknowledge and honor the traditional caretakers of these lands and strive to understand and model their responsible stewardship. We also acknowledge the longer history of these lands and our place in that history.
Our institution's official policy states that "The Pennsylvania State University recognizes the need or preference for members of the University community to refer to themselves by a first name other than their legal first name as well as self-assert a gender other than their legal gender or their gender at the time of birth (AD 84)." One way we can support self-identification is by honoring the name and pronouns that each of us go by.
Many people (e.g. international students, performers/writers, trans & non-binary people, and others) might go by a name in daily life that is different from their legal name. In this classroom, we seek to refer to people by the names that they go by.
Pronouns can be a way to affirm someone's gender identity, but they can also be unrelated to a person's identity. They are simply a public way in which people are referred to in place of their name (e.g., "he" or "she" or "they" or "ze" or something else). In this classroom, you are invited (if you want to) to share what pronouns you go by, and we seek to refer to people using the pronouns that they share. The pronouns someone indicates are not necessarily indicative of their gender identity.
Visit Trans and Non-Binary Penn State to learn more.
Penn State University has adopted a Protocol for Responding to Bias Motivated Incidents. that is grounded in the policy that the “University is committed to creating an educational environment which is free from intolerance directed toward individuals or groups and strives to create and maintain an environment that fosters respect for others.” That policy is embedded within an institution traditionally committed to academic freedom.
Bias motivated incidents include conduct that is defined in University Policy AD 91: Discrimination and Harassment, and Related Inappropriate Conduct. Students, faculty, or staff who experience or witness a possible bias motivated incident are urged to report the incident immediately by doing one of the following:
One of the greatest things about being human is that we are each our own unique person. As such, there is a whole realm of neurodiveristy in any classroom. What some people need to have comfort and success in our class will be different from those of others. We welcome all individuals from across the neurodiviersity spectrum. I ask that we provide grace and space for all people to be themselves.
If you are feel like you're having problems in the course, please come see me and let's see what we can do to help you. This might include reaching out the Student Disability Resources office (or other offices on campus).
If you currently have academic accommodations, please make sure to talk with me as soon as possible so that we can get everything in place.
If you've had academic accommodations in the past but haven't registered with the Student Disability Resources office, I encourage you to do so. Having the accommodations does not mean that you have to use them but they do provide you with an additional support system. To start the process, please reach out through the Student Disability Resources (SDR) website, which provides contact informaiton for every Penn State campus.
Many students at Penn State face personal challenges or have psychological needs that may interfere with their academic progress, social development, or emotional well-being. The university offers a variety of confidential services to help you through difficult times, including individual and group counseling, crisis intervention, consultations, online chats, and mental health screenings. These services are provided by staff who welcome all students and embrace a philosophy respectful of clients’ cultural and religious backgrounds, and sensitive to differences in race, ability, gender identity and sexual orientation.
Veterans and currently serving military personnel and/or spouses with unique circumstances (e.g., upcoming deployments, drill/duty requirements, disabilities, VA appointments, etc.) are welcome and encouraged to communicate these, in advance if possible, to the instructor in the case that special arrangements need to be made. Check out Penn State's Veterans Affairs and Services website for more information.
A central aspect of education is that you build your knowledge and develop ways of thinking that will support you in your life and career. As one of your educators, part of my role is to assess your learning so that I can help you build the most productive ways of thinking. In order for me to best help you, I need the most accurate and reliable data about your thinking and learning. Academic integrity is a key to this process.
A person demonstrates academic integrity when they engage in any scholarly/educational activity in an open, honest, and responsible manner. This is part of our Shared Responsibilities.
The Eberly College of Science Code of Mutual Respect and Cooperation embodies the values that we hope our faculty, staff, and students possess and will endorse to make The Eberly College of Science a place where every individual feels respected and valued, as well as challenged and rewarded.
There are many different ways in which a person's actions may directly or indirectly lead to violating Academic Integrity. Keep in mind whether a person acts intentionally or accidentaly, that action could still result in violating Academic Integrity. The best advice I can give is to always talk with your instructors before you submit the assignment. Here are a few of the broad categories of actions that lead to violation of academic integrity.
The best advice I can provide is to talk with your instructor before you submit any assignment. Once you submit, you've solidified your action and there isn't anything your instructor can except to report the violation.
A person violates academic integrity when they act in a way either (dis-)advantages themselves or (dis-)advantages someone else that is not explicitly allowed ahead of time. While people have a variety of reasons for choosing to act in such ways (e.g., stress, lack of time, perssure to perform, etc.), we need to keep in mind that choosing to violate academic integrity impacts everyone. The person violating academic integrity weakens their own academic growth--they do not receive the feedback that is actually necessary for their growth. The class community suffers as such cases delay giving feedback, and erode the sense of trust in the community.
It is expected that any work submitted is your own. Class members may work on homework assignments and lab assignments in groups, but each student must write up answers in their own words and submit lab quizzes and homework assignments separately.
The major distinction between collusion, working together, and group work comes down to what has been explicitly allowed by the instructor. Collusion is never allowed.
I encourage students to work together on assignments. However, when students work together, each person is individually responsible for their own work. Having one person answer the questions, write the code, etc. and then pass the results to the other person is not working together. Rather, each person should be engaged in the problems, sharing ideas, thoughts, and approaches. The individual differences in how we each write and talk should be present in the answers and work each person submits. Working together can enrich the learning of all those who are actively participating.
Group work occurs when the instructor gives an activity or assignment that is meant to be completed by a group of students together with a single submission for the group. This is not a violation of academic integrity due to the specifications the instructor has set up for the assignment.
Part of learning involves running into situations where you don't instantly have a solution. Rather, you have to think about the problem, try a few things, and then pieces fall into place. You do not have to engage in such struggles alone. Getting help is a great way to help you engage in productive struggle that leads to better learning. However, not all sources of help will actually support your learning and growth. Here are my suggestions for places to seek help.
When you are getting help be sure that you are not crossing the line and having someone else do your learning for you.
Chatbots such as OpenAI's ChatGPT or Google's Bard appear confident in the answers they provide. However, their answers are not always logical nor stand up to scrutiny. If a person relies upon chatbots to do their work, they will miss out on critical opportunities to develop the ways of thinking necessary to detect problems with AI generated answers.
An important part aspect of this course is to help you develop foundational ways of thinking about teaching so that you can create your own lessons. Using tools such as generative AI to design, create, prepare lessons plans for you not only cheats yourself of an invaluable learning opportunity, but it also cheats your students. Therefore, unless explicit permission is given for a particular assignment, the entire class community (the instructor, the students, TAs, etc.) should actively refrain from using generative AI tools. When such use is explicitly authorized, that work should be properly documented. Direct usage of output from chatbots should be treated much like a direct quotation; derivations of such output should be treated as paraphrased text.
Any instances of academic dishonesty will be pursued under the University and Eberly College of Science regulations concerning academic integrity. For more information on academic integrity, see Penn State's statement on plagiarism and academic dishonesty.
Should the university close due to weather or campus emergencies, please be sure to follow any directions included in the University's official announcement. You can stay up to date on such announcements by signing up for PSUAlert (https://psualert.psu.edu/psualert) and/or following Penn State on social media.
In the event of university closure, we will not meet in person. Please check your PSU email and Canvas for further course announcements.
If you are prevented from completing this course within the prescribed amount of time for reasons that are beyond your control, it is possible to have the grade deferred with the concurrence of the instructor, following Penn State Deferred Grade Policy 48-40. To seek a deferred grade, you must submit a written request (by e-mail or U.S. post) to the instructor describing the reason(s) for the request. Non-emergency permission for filing a deferred grade must be requested before the beginning of the final examination period. It is up to the instructor to determine whether or not you will be permitted to receive a deferred grade. If permission is granted, you will work with the instructor to establish a communication plan and a clear schedule for completion within policy. If, for any reason, the coursework for the deferred grade is not complete by the assigned time, a grade of "F" will be automatically entered on your transcript.
In the event that I'm not able to attend class, I will send out an annoucement for what the plan will be. This may include having a guest speaker/instructor (a substitute), for work time (independent or in groups), or cancel the session. Such information will be announced as needed via PSU email/Canvas.
The syllabus for this course (and all other course syllabi) does not constitute a legal contract. Further, I intend for this syllabus to change to reflect the decisions we make as a community as well as adapting to our needs throughout the semester. Changes to the syllabus will be announced in class and updated here.