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(mean=4.67). Both course content and hand-outs presented to the participants have
a high mean of 4.73 and 4.67 repectively. These indicated that both course content
and hand-outs given were very good. Evaluation for time span of the training has a
mean of 4.73 which indicated that the four-day training was very good. The overall
evaluation for the course has a mean of 4.73. It can be concluded that the course
conducted overall was very good. Table 1 shows the mean for each of the evaluation
item in LAM PUS 01-03.

Table 1: Data Analysis

Rating Scale
1 2 3 4 5

Very Weak Weak Average Good Very Good

NO. Item Mean
1 Course is relevant to my field of work 4.67
2 Course content presentation 4.73
3 Course hand-outs 4.67
4 Course time span 4.73
5 Overall evaluation 4.73
6 This course has increased my knowledge 4.73
7 This course can increase my skills in doing my work 4.73
8 I will practice the knowledge I obtain after the course 4.67
Mean 4.71

DISCUSSION

Based on analysis from evaluation data obtained through LAM PUS 01-03, the findings
showed that CT RBT training was very good from the aspects of course content
(mean=4.73), handouts (mean=4.67), time span (mean=4.73), content presentation
(mean=4.73), participant knowledge gain (mean=4.73) and course relevance
(mean=4.73) to participant. There is suggestion that such training should be
conducted more often. These findings proved that CT RBT training has achieved the
intended objectives and should be maintained for future training. Only 15 participants
were involved in this evaluation so the findings could not be generalized to all other
IPGs. This can be the pilot findings for future evaluation in which more participants
could be involved from other 23 IPGs to obtain more valid findings.

Based on the mapping of CT RBT training to computational thinking
development and assessment framework of Brennan and Reinseck (2012), it shows
that CT RBT training can be mapped to the three dimensions of the framework as