Method of Analyzing the Exploration of Ideas

3.5.2 Method of Analyzing the Exploration of Ideas

A method of assessing concept clustering proposed by Novak and Gowin in 1984 is based on the components and structure of the clustering . A less “mechanical” approach to grading concept clustering is to use and provide students with a rubric as the following. Table 3.4 Scoring Guidance for Exploring the Ideas Concept Clustering Element Excellent Good Poor Failing Breadth of net Clustering includes the important concepts and describes domain on multiple levels Clustering includes most important concepts, describes domain on limited number of levels Important concepts missing andor describes domain on only on level Clustering includes minimum concept with many important concept missing Embeddedness and inter- connectedness All concept interlinked with several other concepts Most concept interlinked with other concepts Several concepts linked to other concept Few concepts linked to other concepts Use of descriptive links Link succinctly and accurately describe all relationships Links are descriptive and valid for most relationships Some link unclear or vague; some invalid or unclear Links are vague; show inconsistent relationships Efficient links Each link type is distinct from all other, clearly describes relationships; used consistently Most links are distinct from others; discriminate concepts; present variety of relationships; used fairly consistently Several links are synonymous; don‟t discriminate concepts well; don‟t show a variety of relationships; used Most links synonymous or vaguely describe relationships and aren‟t distinct from other links inconsistently Layout Clustering is contained in a single page, has multiple clear hierarchies, is well laid out and provides a sufficient number of relevant examples with links Clustering is contained in a single page, has several clear hierarchies, is fairly well laid out and provides a sufficient number of fairly relevant examples with links Clustering is not contained in a single page, has unclear hierarchies, is poorly laid out and provides some fairly relevant examples with links Clustering is not contained in a single page, is confusing to read with no hierarchical organization Novak and Gowin, 1984:36-37 To get the individual score, I used scoring sheet below: Table 3.5 Scoring Sheet for Exploring the Ideas Code Concept Clustering Element Σ X A B C D E S1 S2 S3 S4 S5 Note: A : Breadth of net B : Embeddedness and inter-connectedness C : Use of descriptive links D : Efficient links E : Layout F : Development over time Σ : Total X : Individual score To get the total score, I used the scoring criterion below: Table 3.6 Scoring Criterion for Exploring the Ideas Scoring Criterion 1 2 3 4 Failing Poor Good Excellent To get the score, I use the formula X = Σ x 4 Note: X : Individual score Σ : Total

3.5.3 Level of Achievement