The Association between the Use of \u3cem\u3eAccelerated Math\u3c/em\u3e and Students\u27 Math Achievement.

The purpose of this study was to explore the relationship between time spent on a computer managed integrated learning system entitled Accelerated Math and traditional mathematics instruction on achievement as measured by standardized achievement tests of elementary school students. The variables of ability level, special education, grade, socioeconomic status, gender, classroom teacher, school attended, and degree of implementation were also considered. The population consisted of 542 students who were sixth, seventh, and eighth graders during the 2003-2004 school year and took the TerraNova each year. Data were gathered that covered the three-year period beginning in 2001 and ending in 2004. A t test for independent samples, analysis of variance (ANOVA), and analysis of covariance (ANCOVA) were used to identify the relationship between variables. The researcher’s investigation of the relationship between Accelerated Math use and mathematics achievement might assist educators in planning for use of technology as a supplement to traditional instruction. The information gathered from this research might be beneficial to other school systems seeking information on the relationship between a computermanaged integrated learning system and math achievement. The findings in this study were mixed. The use of Accelerated Math was associated with no effects and negative effects depending on the degree of implementation. The findings indicated that there were measurable differences in the performance of students who received Accelerated Math compared to students who did not receive Accelerated Math. Students who did not receive Accelerated Math had higher overall scores than students participating in the intervention. The study indicated that gender, special education, and ability groups did not have a significant interaction with the intervention (participation in Accelerated Math). The research revealed that there was a socioeconomic status interaction intervention with proficiency scores. The study revealed that there was a significant intervention interaction with school, teacher, and grade. There was a significant interaction intervention for both proficiency and value-added scores for each of these three independent variables. In addition, the research revealed that the degree of implementation was a significant factor in students\u27 achievement

Fuzzy cognitive map modelling the adoption of educational software in schools

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This thesis focuses on modelling factors in the adoption of educational software in schools based on the perceptions of key stakeholders. Findings indicate educational software adoption in UK secondary schools is unsatisfactory. Given the potential of educational software to affect the learning process; the government's emphasis on developing software content for learning purposes and the concern that scarce resources in schools are wasted on software that is inappropriately used or not used at all, there is a need to ensure the successful take-up of educational software. This study aims to provide schools the means to facilitate better management of resources and achieve greater utilisation of educational software. The study in recognising the importance of stakeholders in any technological adoption considers modelling educational software adoption in schools, based on key stakeholders' perceptions. Fuzzy cognitive maps (FCMs), considered extensions of cognitive maps used for modelling complex chains of casual relationships, are used as a modelling approach in this study. A mixed methods research approach is adopted. Participants, include students; a range of teachers; ICTCoordinators and ICT-Technicians, drawn from three UK secondary schools. The resulting FCM model offers a visual medium providing insight into the factors required in the take-up of educational software. Some factors identified include the availability and accessibility to IT facilities and equipment; the availability of educational software; software ability to satisfy learning requirements and to meet curriculum requirements. The model provides the means to identify factors which have a greater impact on educational software adoption, so scarce resources can be directed accordingly. As a holistic model it provides insight into the context of educational software adoption in schools. As a dynamic model it allows the opportunity to explore `what-if possibilities relating to policy and investment options. The model can act as a guide for planners, decision-makers and software developers

Fuzzy cognitive map modelling the adoption of educational software in schools

This thesis focuses on modelling factors in the adoption of educational software in schools based on the perceptions of key stakeholders. Findings indicate educational software adoption in UK secondary schools is unsatisfactory. Given the potential of educational software to affect the learning process; the government's emphasis on developing software content for learning purposes and the concern that scarce resources in schools are wasted on software that is inappropriately used or not used at all, there is a need to ensure the successful take-up of educational software. This study aims to provide schools the means to facilitate better management of resources and achieve greater utilisation of educational software. The study in recognising the importance of stakeholders in any technological adoption considers modelling educational software adoption in schools, based on key stakeholders' perceptions. Fuzzy cognitive maps (FCMs), considered extensions of cognitive maps used for modelling complex chains of casual relationships, are used as a modelling approach in this study. A mixed methods research approach is adopted. Participants, include students; a range of teachers; ICTCoordinators and ICT-Technicians, drawn from three UK secondary schools. The resulting FCM model offers a visual medium providing insight into the factors required in the take-up of educational software. Some factors identified include the availability and accessibility to IT facilities and equipment; the availability of educational software; software ability to satisfy learning requirements and to meet curriculum requirements. The model provides the means to identify factors which have a greater impact on educational software adoption, so scarce resources can be directed accordingly. As a holistic model it provides insight into the context of educational software adoption in schools. As a dynamic model it allows the opportunity to explore `what-if possibilities relating to policy and investment options. The model can act as a guide for planners, decision-makers and software developers.EThOS - Electronic Theses Online ServiceGBUnited Kingdo