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- 1. Raimie Tang | Xiao Heng Lu | Lester Leong | Sayyid Iskandar Khan | Mathilde Gaucher
- 2. Problem Validation (317 respondents from NUS) 70% Respondents who have taken modules with webcast 77% Respondents who have watched webcasts to re-access missed out or forgotten information 75% Respondents who find it troublesome to re-watch entire webcasts to find a specific bit of information which they have forgotten or missed out
- 3. I was looking for explanation on one concept which is 10 minutes long but scrolling past all the webcasts took me 5 hours. Eventually I gave up. Student B I was deciding on a GEM module to study but could not find first hand information on the lectures. Now same problem with my specialisation modules. No wonder I always choose the wrong modules to study! Student A What People Say After every lesson, students seem to ask me questions mentioned in class even when it has been webcasted. Professor A
- 4. UI/UX
- 5. Recording
- 9. Content Extraction (Google Speech Recognition API) Data Storage (through text) Data Indexing & Processing (infographic) Open Source Network Technical Site-Map
- 10. Potential Impact Professor ● Re-directs low level queries ● More information on student queries available (analytics) Student ● Enhanced re- accessibility of content ● Preview module content ● Immersive learning experience Educational Institutions & ATO ● Create online digital library & archiving
- 11. Potential Impact NOW ● 20 teams ● Judges are tired ● Quick Summary
- 13. Revenue Model ● Free for universities ● Subscription model for companies
Editor's Notes
- Seiwad Seiwat Seywat????
- As recording goes on, speech to text reference to a list of existing keywords to identify core concept User can add new keywords if they feel topic is left out and the system will check all past and future recording for the new keyword So this program runs in the background needing minimal attention
- When review, user can search specific terms, then the program will show the user locations in the video that has related info. Previous lecturers who presented on the same module will also be displayed so students can see how other professors presented on the same topic
- With these data, we can extract a keyword cloud which emphasize on the most important phrases and ideas of a lecture for student to preview, so when selecting modules, they will have a better understanding of its content for a more meaningful choice.
- By clicking the various keywords, they can immediately jump to sections of previous lectures that are relavent to listen to it.
- 3. Technology (Sayyid) API used, technological feasibility 1)Content Extraction Usage of the google Text API 2)Data Storage Data is being stored into our Inventory Management system 3)Data Indexing & Processing Provide a Back-end architecture to work with to Communicate with the website 4)Improve the content recognition and our Index system API Used: Google API
- Student Pain Students can Some Lecturers speak too fast and students have a hard time reiterating the info for the student.
- Student Pain Students can Some Lecturers speak too fast and students have a hard time reiterating the info for the student.
- Group conversation: Record discussions to playback Profound hearing impaired students: instant accurate recording of lecture content for students with profound hearing impairment to read during and after lecture Ability to reference the lecture of professors from other universities for content of similar concepts
- 2-3 years, free within NUS for data collection 4-5 years, expand to all local universities
- Save time, improve grades, and allow student to make better choices during their tertiary learning to suite their own interest and future needs.