Table 2 shows the minimum and maximum scores for each social media application used by each cluster.Three clusters were formed after multiple iterations. Cluster 1 had 52 cases, cluster 2 had 8 cases and cluster3 had 42 cases respectively. The minimum Social networking (e.g., Facebook) score was 1(Cluster 1, 2 and 3)while the maximum Social networking (e.g., Facebook)score was 4 (Cluster 1, 2 and 3). Asfor Communication(e.g.., MSN chat, email, text messaging), Cluster 1and 2 posted the minimum score of 2 while 4 was themaximum score for Cluster 1 and 2. The minimum Video sharing (e.g., Youtube) score was 1 (Cluster 1 and 2)while the maximum Video sharing (e.g., Youtube) score was 4 (Cluster 1 and 2). Generally, the minimumscore across the clusters for all the test factors was 1 and the maximum was 4. Based on the technologyacceptance model and the activity theory of this study, it can be seen by the forgoing mean scores that thelevel of social networking proficiency for pre-service teachers in cluster 2 is higher than those in both clusters1 and 3 while those in cluster 1 scored higher mean scores than those in cluster 3. This implies thatprospective teachers in Cluster 3 are more likely to exhibit low skill levels in the use of mobile technology andthe adoption of social media in relation to mathematics pedagogy. They are also likely to exhibit a negative
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