LAS FORMAS DEL LUMPENAJE
3. Las multitudes inarticuladas
After the amendments had been done according to the comments and suggestions of the experts, the scales were sent for the second round of Delphi validation. From the second review by the experts, the constructs were accepted by all experts for both the SDLRSbio and the SDLeRSbio. However, there were some comments on the items which were referred as not suitable for STPM Biology context. Thus amendments were made accordingly. This brought changes to the items 23, 25, and 26 to ensure that the items were related to laboratory skills included in STPM syllabus. For example, for item 25 “How well do you know the use and function of all reagents to conduct food tests?” is not in the STPM syllabus. Therefore, the panel suggested that it should be changed to “I can conduct food tests to identify the classes of food present in a specimen”.
The panel members also suggested a rearrangement of the constructs according to Bloom’s Taxonomy. This helped in identifying the level of knowledge and skills in the constructs. The panel suggested the allocation of the constructs into the knowledge domains based upon the items within the constructs. Some of the constructs, no doubt, could be fit into different knowledge domains as suggested in Table 4.2. For example “Data analysis and interpretation skills” was allocated at “metacognition knowledge” rather than “procedural knowledge”. This was because the panel agreed that for one to do
75
analysis and interpretation is beyond procedural level which involved the integration of knowledge and skills in metacognition level. Hence, the constructs were allocated into the knowledge domains as showed in Table 4.2. This comment of the panel members tallies with the theoretical framework of the current research. In which being readied for SDL one needed the specific skills and knowledge in setting, achieving, and evaluating the learning objectives. Table 4.2 shows the arrangement of the constructs according to Bloom’s Taxonomy and the sample of items belonging to each construct.
Table 4.2 Arrangement of Constructs and Items in Bloom’s Taxonomy
Knowledge domains Constructs Example of Item Factual knowledge - -
Conceptual knowledge Biology cognitive readiness I usually give comments on other’s ideas about Biological concepts
Procedural knowledge Biology learning skills readiness I can use information technology effectively in my Biology study.
Use of instrument I can use the light microscope to observe my specimen slides.
Laboratory techniques I can prepare slides for Biology specimens. Data collection / reading
instrument I can read the measurement accurately from the instruments.
Metacongitive knowledge Emotional readiness in Biology I find it easy to accept other’s idea in Biology
Experimental design skills I can design my own Biology experiment. Data analysis and interpretation
skills I can discuss and conclude according to the results of Biology experiments. Interacting skills readiness I keep an open mind for students’ ideas and
opinions in Biology.
Table 4.3 and Table 4.4 show the results of each Delphi rounds. Amendments were made to the items according to the experts’ comments and suggestions. After the second round of Delphi validation, the scales were administered in a pilot study to 30 students and 10 teachers.
76
Table 4.3 Summary of Delphi Rounds Results for SDLRSbio
Round Total
Constructs Constructs retained Total items Items retained Items amended Items eliminate
1 6 6 58 35 11 12
2 6 6 46 43 3 0
Table 4.4 Summary of Delphi Rounds Results for SDLeRSbio
Round Total
Constructs Constructs retained Total items Items retained Items amended Items eliminated
1 7 7 65 46 11 8
2 7 7 53 50 3 0
From the pilot study, the researcher found that it was not easy to have students and teachers willing to be involved in classroom observations and interviews, hence, an open ended question was added to the SDLRSbio and SDLeRSbio in order to obtain more qualitative responses from the students and teachers about the factors influencing the SDLR among students and the SDLeR among teachers. The developed scales are included in Appendix III and Appendix IV.
The process of the scales development through the Delphi technique is shown in Figure 4.2 below. These developed scales are different from the existing scales in the sense that it measured specifically readiness related to Biology skills and knowledge. A comparison of constructs between existing scales with the developed SDLRSbio and SDLeRSbio is shown in Table 4.5 (p 78).
The researcher had endeavoured in a careful process for the development of research instruments. The Delphi technique was used in developing the constructs of the instruments. The panellists of the Delphi technique was chosen from Biology related fields. The development of the instruments went through two Delphi rounds.
77
Figure 4.2 SDLRSbio and SDLeRSbio Development Flowchart
The early stage of reliability of the scales developed was carried out during the pilot study. In the pilot test the SDLRSbio yielded a Cronbach Alpha reading of 0.869 and SDLeRSbio yielded a Cronbach Alpha reading of 0.971. These results indicated the scales have high reliability in measuring SDLR and SDLeR respectively. The reliability results of the developed scales are recorded in the pilot study at phase 2. The reliability test was consolidated with the actual study later. The instruments developed for this research hence were validated and reliable in measuring the STPM Biology students’ SDLR and STPM Biology teachers’ SDLeR.
Reliability Count
Adding an open ended question to the questionnaire
Literature Review
To identify and list constructs related to SDL from past research
Refined SDLRSbio and SDLeRSbio
Pilot Study Delphi Rounds 1st Round
Changed the items from questions to statements.
Restructure of constructs to include the biology elements 2nd round
Relates the constructs to Bloom’s Taxonomy
78
Table 4.5 Comparing the Existing SDLR Scales with SDLRSbio and SDLeRSbio Skills
Domains Research Constructs Swapna Naskar
Williamson, 2007 Murray Fisher, 2001 Oddi, 1986 Guglielmino,1977 Current Research
Self-
management Learning Strategies Awareness Self-management Ability to self regulating Future orientation
Openness to learning opportunities
Biology learning skills readiness
Self-Motivation Learning Activities
Interpersonal skills Desire for learning Learner motivation/self
efficacy/autonomy Learning with others Self concept as an effective learner Initiative and dependence in leaning A love to learn Emotional Readiness in Biology
Self monitoring Evaluation Self control Reading avidity Informed acceptance
of responsibility for one’s own learning Creativity
Ability to use basic study and problem solving skills
Biology cognitive readiness
Specific
Biology Skills - - - - Laboratory skills
Experimental Design skills Data analysis and Interpretation Skills
Teaching skills - - - - Interacting skills
readiness Source: Kwan and Daniel (2013)