The Effectiveness of a Strategy Based on the Diffusion of Innovations Theory in De Multiple Intelligences among First-Grade Intermediate Students in Chemistry

Abstract

Abstract:

The present study aims to the a proposed instructional strategy based on the Diffusion of Innovations Theory to enhance multiple intelligences among first-grade intermediate students in chemistry. The researcher formulated the following hypothesis:There is no statistically significant difference at the level of (0.05) between the mean scores of students in the experimental group, who are taught using the proposed strategy based on the Diffusion of Innovations Theory, and the mean scores of students in the control group, who are taught using the traditional method, in  multiple intelligences.

The researcher employed two methodologies: the descriptive method to construct the proposed strategy based on the Diffusion of Innovations Theory and to outline its implementation procedures, and the quasi-experimental method with partial control, involving two groups (experimental and control).The research sample consisted of (90) students, with (45) students in each group. The two groups were equated in terms of the following variables: age in months, prior knowledge test, previous achievement, and intelligence test.

The researcher formulated appropriate behavioral objectives totaling (120), based on the first three levels of Bloom’s Taxonomy in the cognitive domain: remembering, understanding, and application.Additionally, the researcher prepared (12) lesson plans, with (6) plans for each group. A test to measure multiple intelligences was also developed, consisting of (20) items for each of the following intelligences: linguistic, spatial, bodily-kinesthetic, and intrapersonal; (7) items for logical-mathematical and naturalistic intelligences; (7) items for musical intelligence; and (6) items for interpersonal (social) intelligence.The validity of the scale was verified through several indicators, and correlation coefficients between each item and the total score were calculated using the statistical program (SPSS). Reliability was measured using Cronbach’s Alpha, which reached (0.923), indicating a high level of internal consistency.Based on the findings, the researcher presented a number of conclusions, recommendations, and suggestions.