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This study examined the gender differences in the preferences to varying designs of multimedia learning interfaces. In the study it was assumed that design characteristics add to the interest in learning and a taxonomy of design of efficient user interfaces for both boys and girls was developed. The research included 90 children from three kindergarten classes who used interactive multimedia stories. The research subjects responded to questions which elicited their level of satisfaction with the various interfaces. The research findings indicate that there is a significant difference in the level of satisfaction between boys and girls depending on the design of the learning interfaces. This paper reports on the findings which were statistically significant.

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Since its introduction in the early 1950s, the Delphi technique has experienced ever-increasing utilization, variants, praise, and criticism. The purpose of this article is to propose an evolutionary variant called Imen-Delphi for futures research. This article suggests that an Imen-Delphi procedure may be appropriate as a research technique to improve the efficiency of a group of panelists to invent change. This article describes the Imen-Delphi's design and procedure, alongside details of a real world example of its use in engaging a group of participants to redefine a relevant future-mission for their educational institute.

Background: Many tools have been developed to measure the ability of workers to innovate. However, all of them are based on self-reporting questionnaires, which raises questions about their validity Purpose: The aim was to develop and validate a tool, called Ideas Generation Implementation (IGI), to objectively measure the style and potential of engineering students in generating innovative technological ideas. The cognitive framework of IGI is based on the Architectural Innovation Model (AIM). Tool description: The IGI tool was designed to measure the level of innovation in generating technological ideas and their potential to be implemented. These variables rely on the definition of innovation as 'creativity, implemented in a high degree of success'. The levels of innovative thinking are based on the AIM and consist of four levels: incremental innovation, modular innovation, architectural innovation and radical innovation. Sample: Sixty experts in technological innovation developed the tool. We checked its face validity and calculated its reliability in a pilot study (kappa = 0.73). Then, 145 undergraduate students were sampled at random from the seven Israeli universities offering engineering programs and asked to complete the questionnaire. Design and methods: We examined the construct validity of the tool by conducting a variance analysis and measuring the correlations between the innovator's style of each student, as suggested by the AIM, and the three subscale factors of creative styles (efficient, conformist and original), as suggested by the Kirton Adaptors and Innovators (KAI) questionnaire. Results: Students with a radical innovator's style inclined more than those with an incremental innovator's style towards the three creative cognitive styles. Students with an architectural innovator's style inclined moderately, but not significantly, towards the three creative styles. Conclusions: The IGI tool objectively measures innovative thinking among students, thus allowing screening of potential employees at an early stage, during their undergraduate studies. The tool was found to be reliable and valid in measuring the style and potential of technological innovation among engineering students.