- Course: HUDK 4051, Teachers College, Columbia
- Instructor: Charles Lang, charles.lang@tc.columbia.edu, @learng00d
- Day/Time: Tuesdays & Thursdays, 5:10pm - 6:50pm (Import to your calendar)
- Location: GDH 277
- Instructor Office Hours: Tuesdays & Thursdays, 3:00pm - 5:00pm by appointment in GDH 454
- Prerequisite: None, but please see the instructor if you have no statistics or computer science background
- Credits: 3
- Required Technology: Laptop with RStudio installed
The Internet and mobile computing are changing our relationship to data. Data can be collected from more people, across longer periods of time, and a greater number of variables, at a lower cost and with less effort than ever before. This has brought opportunities and challenges to many domains, but the full impact on education is only beginning to be felt. Learning Analytics, Theory & Practice builds on HUDK 4050 Core Methods in Educational Data Mining to provide advanced techniques in the use of new data sources in education with the aim of developing students’ ability to perform analyses and critically evaluate their application in this emerging field. It covers methods and technologies associated with data science, machine learning and learning analytics, as well as discusses the opportunities for education that these methods present and the problems that they may create.
The overarching goal of this course is for students to acquire the knowledge and skills to be intelligent producers and consumers of data in education. By the end of the course students should:
- Develop a portfolio of educational data science projects
- Be able to evaluate the implications of data science for educational research, policy, and practice
This necessarily means that students become comfortable with the educational applications of three domain areas: computer science, statistics and the context surrounding data use. There is no expectation for students to become experts in any one of these areas but rather the course will aim to: enhance student competency in identifying issues at the level of data acquisition, data analysis and application of analyses to the educational enterprise.
HUDK 4051 is a disaggregated course in which students choose the order in which they wish to complete the course content. The course is made up of eight units, the first and last unit are preset, but the other units are completed in the order that students choose. Students will have two weeks to complete each unit.
The class meets twice per week. However, Monday classes will be devoted to recording a podcast and only those students who are signed up to attened are required to. The podcast will provide the content matter on topics from each unit. Wednesday class will be activity based, an opportunity to ask questions about work, do activities and dicussion.
In HUDK 4051 students will be assessed on their completion of the projects associated with each unit.
Tasks that need to be completed during the semester:
Weekly:
- Attend class
- Complete activities within each unit
One time only:
- In person meeting with instructor
- 8 assignments
- Record a tutorial session - Recordings will take place on Tuesdays please sign up for a week
January 22
Januray 29 - April 26
April 23
- Final task
| Week | Week Starting | Tuesday | Thursday | Change Unit | Podcasters |
|---|---|---|---|---|---|
| 1 | January 21 | No class | Introduction | ||
| 2 | January 28 | Recommender Systems | Workshop | ||
| 3 | February 4 | Podcast 1 | Workshop | New Unit Thursday | Closing the Loop- O Ross, CA Yang, X Zhao, C Chen, M Zeng |
| 4 | February 11 | Prediction | Workshop | ||
| 5 | February 18 | Podcast 2 | No class | New Unit Thursday | Interactive Viz- J Li, Q Zhou, X Song, J Bylander, SY Kao, J Wang, X Song |
| 6 | February 25 | Social Network | Workshop | ||
| 7 | March 4 | Podcast 3 | No class | New Unit Thursday | NLP- S Yin, E Groves, J Djuwadi, E Sawada, S Lin, G Wang, A Cornejo |
| 8 | March 11 | Neural Networks | Nat Language | ||
| 9 | March 18 | Podcast 4 (SB) | Spring Break | Neural Nets- D Wright, L Yue, A Kanther, M Mock, LC Yuan, S Wang | |
| 10 | March 25 | Interactive Viz | Workshop | New Unit Thursday- | |
| 11 | April 1 | Podcast 5 | Workshop | SNA- A Lizarov, X Tan, L Xiao, A Bian, Z Lei | |
| 12 | April 8 | Closing the Loop | Workshop | New Unit Thursday | |
| 13 | April 15 | Podcast 6 | Workshop | Prediction- M Villeroy, Y Tao, J H Feng, L Ai, Y Chen | |
| 14 | April 22 | Workshop | Mystery Unit/LA End of Year Party | All Units Due April 25 5:00PM | |
| 15 | April 29 | Workshop | Workshop | Final Task | |
| 16 | May 6 | Workshop | No class | Mystery Unit Due May 7 7:00PM |
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All examinations, papers, and other graded work and assignments are to be completed in conformance with the [Academic Integrity Policy](http://www.tc.columbia.edu/administration/diversity/index.asp? Id=Civility+Resources+and+Policies&Info=Civility+Resources+and+Policies&Area=Studen t+Miscon duct+Policy). Students who intentionally submit work either not their own or without clear attribution to the original source, fabricate data or other information, engage in cheating, or misrepresentation of academic records may be subject to charges. Sanctions may include dismissal from the college for violation of the TC principles of academic and professional integrity fundamental to the purpose of the College.
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The College will make reasonable accommodations for persons with documented disabilities. Students are encouraged to contact the Office of Access and Services for Individuals with Disabilities for information about registration (166 Thorndike Hall). Services are available only to students who are registered and submit appropriate documentation. As your instructor, I am happy to discuss specific needs with you as well.
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The grade of Incomplete will be assigned only when the course attendance requirement has been met but, for reasons satisfactory to the instructor, the granting of a final grade has been postponed because certain course assignments are outstanding. If the outstanding assignments are completed within one calendar year from the date of the close of term in which the grade of Incomplete was received and a final grade submitted, the final grade will be recorded on the permanent transcript, replacing the grade of Incomplete, with a transcript notation indicating the date that the grade of Incomplete was replaced by a final grade. If the outstanding work is not completed within one calendar year from the date of the close of term in which the grade of Incomplete was received, the grade will remain as a permanent Incomplete on the transcript. In such instances, if the course is a required course or part of an approved program of study, students will be required to re-enroll in the course including repayment of all tuition and fee charges for the new registration and satisfactorily complete all course requirements. If the required course is not offered in subsequent terms, the student should speak with the faculty advisor or Program Coordinator about their options for fulfilling the degree requirement. Doctoral students with six or more credits with grades of Incomplete included on their program of study will not be allowed to sit for the certification exam.
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Teachers College students have the responsibility for activating the Columbia University Network ID (UNI) and a free TC Gmail account. As official communications from the College – e.g., information on graduation, announcements of closing due to severe storm, flu epidemic, transportation disruption, etc. -- will be sent to the student’s TC Gmail account, students are responsible for either reading email there, or, for utilizing the mail forwarding option to forward mail from their account to an email address which they will monitor.
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It is the policy of Teachers College to respect its members’ observance of their major religious holidays. Students should notify instructors at the beginning of the semester about their wishes to observe holidays on days when class sessions are scheduled. Where academic scheduling conflicts prove unavoidable, no student will be penalized for absence due to religious reasons, and alternative means will be sought for satisfying the academic requirements involved. If a suitable arrangement cannot be worked out between the student and the instructor, students and instructors should consult the appropriate department chair or director. If an additional appeal is needed, it may be taken to the Provost.