In 15 years of his teaching career in School of Computing, National University of Singapore (since August 2003 as part-time TA), Steven is blessed to have favorable teaching feedback from his students (who took his usually heavy and tedious modules) and his colleagues (who evaluated his teaching portfolio).
Starting from AY 2017/18, Steven is currently experimenting with the Flipped Classroom technique, especially for his projected-to-grow-to-300-plus CS2040C module.
| (Teaching) Award (#) | Level | AY | Remarks |
|---|---|---|---|
| National Day Awards (1) | National | 2018 (0 AY ago) | Commendation Medal (Pingat Kepujian), Education |
| ATEA (1) | University | 2014/15 (3 AYs ago) | First breakthrough, University level |
| FTEA (3) with Honour Roll (1) | Faculty | 2014/15 (3 AYs ago) | Banned until start of AY 2020/21 (2 AYs later) |
| FTEA (2) | Faculty | 2012/13 (5 AYs ago) | |
| FTEA (1) | Faculty | 2011/12 (6 AYs ago) | First breakthrough, Faculty level |
| BTAA (1) | Faculty | 2007/08 (10 AYs ago) | No longer a Teaching Assistant now |
The official announcements can be found in NUS-level Annual Teaching Excellence Award (ATEA) list and SoC-level Faculty Teaching Excellence Award (FTEA) and Best Teaching Assistant Award (BTAA) list.
Because he is a web programming lecturer, Steven built this interactive personal teaching feedback score history of himself.
Module highlighted: None. Put your mouse cursor over a bar (or click that bar). Each bar represents one module. Percentile rating before AY2013/14 and after this AY is different as NUS changed the teaching feedback system a bit.
Module details: None.
Combined details of all occurrences of the highlighted module will be shown here.
Highlight by:
To estimate your next teaching feedback score (using the system used from from AY 2013/2014 onwards), please enter the number of students (an integer please) whom you think will give 1 (very bad), 2 (bad), 3 (neutral), 4 (good), 5 (very good) to you, in the respective boxes below for the three important questions (Q1, Q2, and Q3).
For each question, this simple script will compute question score as in the past: (|1| x 1 + |2| x 2 + |3| x 3 + |4| x 4 + |5| x 5) / (|1| + |2| + |3| + |4| + |5|).
Then your prospective teaching score this semester will be: 0.0866 + (0.4276 * Q1 score) + (0.3150 * Q2 Score) + (0.25 * Q3 Score).
| Q1. The teacher has enhanced my thinking ability. | |1| = | |2| = | |3| = | |4| = | |5| = | → My Q1 score is |
| Q2. The teacher has increased my interest in the subject. | |1| = | |2| = | |3| = | |4| = | |5| = | → My Q2 score is |
| Q3. The teacher provides timely and useful feedback. |
|1| = |
|2| = |
|3| = |
|4| = |
|5| = |
→ My Q3 score is |
Your students this semester give you this prospective teaching score: .