Mapping and weight distribution of relevant competency elements (CEs) with respect to learning domains presented in the site supervisory apprenticeship guide model of Manoharan et al. (2021)
| Competency elements (CEs)/Competency unit (CU) | Weight (%) | Domain levels of Bloom’s taxonomy | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cognitive levels (CL) | Psychomotor levels (PL) | Affective levels (AL) | |||||||||||||||
| CL1 | CL2 | CL3 | CL4 | PL1 | PL2 | PL3 | PL4 | PL5 | PL6 | PL7 | AL1 | AL2 | AL3 | AL4 | AL5 | ||
| CE1: Using trigonometric functions in modelling and problem-solving applications for industrial tasks | 15 | 4 | 7 | 2 | 2 | ||||||||||||
| CE2: Applying the algebraic functions in modelling and problem-solving applications for industrial tasks | 15 | 4 | 7 | 2 | 2 | ||||||||||||
| CE3: Using statistical approaches in problem-solving applications for industrial tasks | 15 | 2 | 4 | 3 | 2 | 2 | 2 | ||||||||||
| CE4: Applying cycle time approaches in problem-solving applications for industrial tasks | 10 | 2 | 2 | 2 | 2 | 2 | |||||||||||
| CE5: Using linear programming models in problem-solving applications for industrial tasks | 10 | 2 | 1 | 1 | 2 | 2 | 2 | ||||||||||
| CE6: Using fundamental optimisation techniques in problem-solving applications for industrial tasks | 15 | 3 | 3 | 2 | 2 | 3 | 2 | ||||||||||
| CE7: Using value engineering techniques to solve real problems in construction activities | 20 | 3 | 6 | 4 | 3 | 2 | 2 | ||||||||||
| Competency Unit (CU) | 100 | 20 | 30 | 10 | 0 | 15 | 15 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 |
| Competency elements (CEs)/Competency unit (CU) | Weight (%) | Domain levels of Bloom’s taxonomy | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cognitive levels (CL) | Psychomotor levels (PL) | Affective levels (AL) | |||||||||||||||
| CL1 | CL2 | CL3 | CL4 | PL1 | PL2 | PL3 | PL4 | PL5 | PL6 | PL7 | AL1 | AL2 | AL3 | AL4 | AL5 | ||
| CE1: Using trigonometric functions in modelling and problem-solving applications for industrial tasks | 15 | 4 | 7 | 2 | 2 | ||||||||||||
| CE2: Applying the algebraic functions in modelling and problem-solving applications for industrial tasks | 15 | 4 | 7 | 2 | 2 | ||||||||||||
| CE3: Using statistical approaches in problem-solving applications for industrial tasks | 15 | 2 | 4 | 3 | 2 | 2 | 2 | ||||||||||
| CE4: Applying cycle time approaches in problem-solving applications for industrial tasks | 10 | 2 | 2 | 2 | 2 | 2 | |||||||||||
| CE5: Using linear programming models in problem-solving applications for industrial tasks | 10 | 2 | 1 | 1 | 2 | 2 | 2 | ||||||||||
| CE6: Using fundamental optimisation techniques in problem-solving applications for industrial tasks | 15 | 3 | 3 | 2 | 2 | 3 | 2 | ||||||||||
| CE7: Using value engineering techniques to solve real problems in construction activities | 20 | 3 | 6 | 4 | 3 | 2 | 2 | ||||||||||
Note(s): The mapping and weight distribution of CEs mentioned in Table 1 were produced by Manoharan et al. (2021)
Domain Levels of Bloom's Taxonomy: CL1 - Remembering and Understanding; CL2 - Applying; CL3 - Analysing and Evaluating; CL4 - Creating; PL1 - Perception; PL2 - Set; PL3 - Guided Response; PL4 - Mechanism; PL5 - Complex Over Response; PL6 - Adaptation; PL7 - Origination; AL1 - Receiving Phenomena; AL2 - Responding to Phenomena; AL3 - Valuing; AL4 - Organization; AL5 - Characterisation