LET Lehrentwicklung und -technologie Blended Learning in large scale lectures

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Ronald Logan
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1 Blended Learning in large scale lectures Thomas Korner, ETH Zürich,

2 Lecture a well known scenario Advantages efficient Personal contact with lecturer Controllable by lecturer Serves as one of the only scenarios very large lectures...

3 Lecture a well known scenario Challenges

4 Lecture a well known scenario Challenges Small number of interaction/ Anonymity

5 Lecture a well known scenario Challenges Small number of interaction/ Anonymity Lack of feedback

6 Lecture a well known scenario Challenges Small number of interaction/ Anonymity Lack of feedback Channel for feedback

7 Lecture a well known scenario Challenges Small number of interaction/ Anonymity Lack of feedback Passive mode for students/ Lost of attendance Bligh(1998:56) after Lloyd (1968), adapted

8 Lecture a well known scenario Challenges Small number of interaction/ Anonymity Lack of feedback Passive mode for students/ Lost of attendance Bligh(1998:56) after Lloyd (1968), adapted Use stops -> ask questions

Passive mode for students/ Lost of attendance

9 Enhanced by a moodle course Interaction on several levels No anonymity Self directed learning (time, location,...) feedback Well suited for preparation/recapitulation...

10 Enhanced by a moodle course Interaction on several levels No anonymity Self directed learning (time, location,...) feedback Well suited for preparation/recapitulation... no direct benefit to the lecture

11 CLASSROOM RESPONSE SYSTEMS

12 Classroom Response Systems (CRS) Mobile vs.

13 Where moodle (OTB) isn t enough Performance-Optimization for 100+ concurrent users Clicker-setting (1 question per quiz) Organized by date/lecture user friendly test editor

15 Smartphone App for ios (>= ios 4 und iphone3gs) for Android (>= 2.1) Web App For all common browser

16 ETH EduApp Starting point Timetable (mystudies)

17 ETH EduApp Starting point Timetable (mystudies)

18 ETH EduApp Starting point Timetable (mystudies) 5 tools per lecture 1. Information (only for Smartphones)

19 Tools of ETH EduApp 2. Navigation (only for Smartphones) 3. Clicker 4. Channel 5. Semesterfeedback

20 LIVE-DEMO

21 Usage Self service 2012/ lecturers 6500 students 920 clicker questions and answers 187 channels with 987 comments Challenges WLAN (UMTS) Diversity of courses and digital resources Irrelevant content performance, performance, performance

22 Technical specification/requirements Open source and MPL license Recommended system requirements Java (1.7 recommended) Tomcat-Server Webapp: recent browser, common OS ios v4+ Android v2.1+ de/en User administration via central services (OIS)

23 User Experiences Students High to very high usage and acceptance Peer Network very useful Enables connection between LET and students Lecturers CRS changes the didactics of a lecture Usability very important Peer instruction serving organization - project Work together with students very useful External developer with close connection to the University successfull

24 Didactical enclosure Moodle and EduApp are complementary Integration/links between both systems would be great EduApp - the mobile starting point for learning activities

25 Thomas Korner, ETH Zürich,

Lecture 17: Mobile Computing Platforms: Android. Mythili Vutukuru CS 653 Spring 2014 March 24, Monday

Lecture 17: Mobile Computing Platforms: Android Mythili Vutukuru CS 653 Spring 2014 March 24, Monday Mobile applications vs. traditional applications Traditional model of computing: an OS (Linux / Windows),