Wednesday, 2 April 2014

Two Summer Online Courses


Won't be around campus during summer? I know you will be online! And if you want to have a summer of boosting your general Web, social media, and data skills, you might be interested in the below two online courses taught by Dr. Vanessa Dennen:

EME6414 - Web 2.0 Based Learning & Performance
EME6356 - Learning & Web Analytics


EME6414 - Web 2.0 Based Learning & Performance
Description: 

This course focuses on how the widespread use of social networking/ media have influenced learning and human performance. Additionally, the course covers how instructional learning experiences and performance supports might be designed to take advantage of participatory culture.

Objectives:
At the end of this course, students will be able to:
  • Discuss how Web 2.0 technologies change the role of the instructional designer and performance technologist.
  • Identify the strengths and weaknesses of different Web 2.0 tools for promoting community, learning and performance.
  • Identify the necessary factors for creating and sustaining online community.
  • Use a variety of social media to communicate and educate.
  • Develop a social media-based personal learning community.
  • Design educational experiences using Web 2.0 technologies.
  • Design performance support systems using Web 2.0 technologies.

EME6356 Learning & Web Analytics 
Description:  

This course addresses the collection and use of data for decision making and assessment in learning and human performance contexts. Students will get hands-on experience with small data sets and will learn how big data sets are collected and used.

Objectives:
  • Discuss major concepts related to analytics and big data.
  • Discuss the application of analytics to the fields of instructional systems design and performance technology.
  • Apply the major concepts related to analytics to solving real world problems.
  • Identify real world problems that might be addressed via analytics.
  • Align problems with appropriate data sources, data collection methods, and analytic methods.
  • Select the most appropriate analytic tool for a given context.
  • Collect analytic data in a systematic manner.
  • Analyze and interpret systematically collected analytic data.
  • Develop context-appropriate reports that indicate how analytics address a particular problem.

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