2,461 research outputs found

    Creativity and innovation in science and technology: Bridging the gap between secondary and tertiary levels of education

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    Purpose: This paper stems from a study which was conducted as a means to first, find out whether there is a gap between the secondary and tertiary education levels, second identify any existing gap in Science and Technology education, and third, examine the impact of the above upon students’ creativity and innovativeness at university level. The paper aims to discuss these issues. Design/methodology/approach: As such, a group of teachers and students at both secondary and tertiary levels were selected as the sample of the study. Questionnaires were administered to trained secondary school teachers and to university students. Interviews were also conducted to triangulate data. These enabled an analysis of the current situation in terms of students’ engagement/creativity/innovativeness in Science and Technology at secondary and tertiary levels. Findings: The findings reveal a problematic situation arising with respect to beliefs and what truly prevails in the education sector at secondary and tertiary levels. This study has revealed a number of salient issues related to the gap existing between the secondary and tertiary levels of education in Mauritius, with special bearing on creativity and innovation in Science and Technology. Research limitations/implications: Only three institutions were involved, with a small sample of students, so that the findings cannot be generalised. Moreover, gender is a variable that has not been taken into consideration. Practical implications: The study has proposed a number of recommendations to enable Mauritian students (at secondary and tertiary levels) to develop creativity and hopefully become innovators. This leads us to believe that the recommendations emerging from this study will be beneficial to various stakeholders who wish to understand the gap existing between secondary and tertiary education in Science and Technology education. Originality/value: This study takes a case study approach adopting a mixture of interviews, surveys and observations to understand the research problems with regards to the younger generations need to be equipped with scientific and technological advances in acquiring knowledge, new sets of skills and values. Therefore, this study endeavours to document the perceptions of learners and faculty staff

    Type of Tomato Classification Using Deep Learning

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    Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which helps in protecting them from developing deadly blood clots. A tomato classification approach is presented with a data set containing approximately 5,266 images with 7 species belonging to tomatoes. The Neural Network Algorithms (CNN), a deep learning technique applied widely in image recognition, is used for this task

    An Intelligent Tutoring System for Teaching the 7 Characteristics for Living Things

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    Recently, due to the rapid progress of computer technology, researchers develop an effective computer program to enhance the achievement of the student in learning process, which is Intelligent Tutoring System (ITS). Science is important because it influences most aspects of everyday life, including food, energy, medicine, leisure activities and more. So learning science subject at school is very useful, but the students face some problem in learning it. So we designed an ITS system to help them understand this subject easily and smoothly by analyzing it and explaining it in a systematic way. In this paper, we describe the design of an Intelligent Tutoring System for teaching science for grade seven to help students know the 7 characteristics for living things smoothly. The system provides all topics of living things and generates some questions for each topic and the students should answer these questions correctly to move to the next level. In the result of an evaluation of the ITS, students like the system and they said that it is very useful for them and for their studies

    What do we (need to) know about low-susceptibility of codling moth against Cydia pomonella granulovirus (CpGV)!

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    In 2005, the first codling moth (CM) populations with a reduced susceptibility to Cydia pomonella granulovirus (CpGV) products have been observed. This phenomenon might be an indicator of an emerging resistance of CM to CpGV. This paper summarizes some aspects of CM CpGV interaction and discusses potential mechanisms in the host virus interaction, which could contribute to the observed low susceptibility. In order to develop and implement successful resistance management strategies, much more knowledge about the plasticity of CM CpGV interaction and the diversity of CM populations is essential

    Adaptive Intelligent Tutoring System for learning Computer Theory

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    In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to the behavior of the student. An evaluation of the intelligent tutoring system has revealed reasonably acceptable results in terms of its usability and learning abilities are concerned

    ADO-Tutor: Intelligent Tutoring System for leaning ADO.NET

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    This paper describes an Intelligent Tutoring System for helping users with ADO.NET called ADO-Tutor. The Intelligent Tutoring System was designed and developed using (ITSB) authoring tool for building intelligent educational systems. The user learns through the intelligent tutoring system ADO.NET, the technology used by Microsoft.NET to connect to databases. The material includes lessons, examples, and questions. Through the feedback provided by the intelligent tutoring system, the user's understanding of the material is assessed, and accordingly can be guided to different difficulty level of exercises and/or the lessons. The Intelligent Tutoring System was evaluated by a group of users and the results were more than satisfactory in terms of the quality of the material and the design of the system
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