Courses | Learning Analytics | Human Development

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Teachers College, Columbia University
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Learning Analytics

In the Department of Human Development

Course Listing

Please check the Class Schedule or contact the program for specific course availability for each semester.

Course List

HUDK 4029 Human cognition and learning

Cognitive and information-processing approaches to attention, learning, language, memory, and reasoning. Fee: $20.

HUDK 4050 Core methods in educational data mining

Prerequisite: HUDM 5122 or equivalent, or approved statistics or computer science data mining course. Methods of educational data mining focused on automated discovery of patterns in large-scale educational data, execution of methods in standard software packages, limitations of existing implementations of methods, and when and why to use these methods. Discussion of how EDM uses some of the same mathematical frameworks as traditional statistics and how their use in EDM differs.

HUDK 4051 Learning analytics: Process and theory

Prerequisite: Course in statistics is recommended. Framework for understanding the emerging field of learning analytics. Examines primary perspectives on what the field should be, including educational data mining, learning analytics and big data perspectives, and relationships to related and existing fields.  Includes perspectives on philosophy and theory of design and inquiry, validity of a learning analytics analysis or model, and challenges to its effectiveness and appropriate use.

HUDK 4052 Normative perspectives on the analysis of learning and learners

Introduction to multiple perspectives on activities connected to progress in our capacity to examine learning and learners, represented by the rise of learning analytics. Students develop strategies for framing and responding to the ranges of values-laden opportunities and dilemmas presented to research, policy, and practice communities as a result of the increasing capacity to monitor learning and learners.

HUDK 4054 Managing education data

Attaining, compiling, analyzing, and reporting data for academic research. Includes data definitions, forms, and descriptions; data and the research lifecycle; data and public policies; and data preservation practices, policies, and costs.

HUDK 5030 Visual explanations

Surveys production and comprehension of visualizations ranging from ancient cave paintings and petroglyphs to diagrams, charts, graphs, comics, picture books, photographs, gesture, and film to extract and apply techniques for conveying objects, actions, forces relations, and emotions, meanings that are both inherently visible and non-visible. Implications for education, art, media, and HCI are drawn.

HUDK 5053 Feature engineering studio

Prerequisite: HUDK 4050.  Design studio-style course covers the process of feature engineering and distillation, including brainstorming features, deciding what features to create, and criteria for selecting features for data mining. Students learn how to create features in Excel, Java, Google Refine, EDM Workbench, and other relevant tools.

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