17,054 research outputs found

    Trends in Turkish Science Education

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    The aim of the study is to determine the trends in Turkish Science Education on the basis of both master and doctoral theses involved. The researchers reviewed the online databases of the Higher Education Council and Proquest as well as the web page of graduate school of each university in Turkey which presents thesis archieve and investigated 444 graduate theses abstracts/fulltexts in regard to their created matrix (Year, Research Interest, Research Methodology and Sample). The document analysis has pointed out that in terms of research interest two general trends are apparent in Turkish science education research: (1) introducing science education between 1990 and 2000 (2) keeping up with new perspectives in the line of international trends. Also, in view of research methodology although interpretive research methodology has also been preffered since 1997, descriptive research design has still dominated in this context. Some suggestions were made for future research

    A review of the research literature relating to ICT and attainment

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    Summary of the main report, which examined current research and evidence for the impact of ICT on pupil attainment and learning in school settings and the strengths and limitations of the methodologies used in the research literature

    The Effect of Science Teaching Enriched With Technological Applications on the Science Achievements of 7th Grade Students

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    This study aims to research the impacts of science teaching enriched with technological applications on the science course achievement levels of 7th grade students. 13 weeks long research was carried out with 7th grade students studying at a state secondary school in Turkey in 2016. In the study, quasi-experimental method, experimental design with the pretest-posttest control group was used. There were 83 students (control=42, experiment=41) in the study group. “Science Achievement Test” developed by the researchers was used as data collection tool. There are 28 multiple-choice, four-choice items in the achievement test covering subjects taught, and the KR 20 reliability coefficient is 0.78. “Science Achievement Test” was used as the pretest, posttest, and follow-up test. Teaching was carried out by the same science teacher in the science class in both the control and experiment groups. In the control group, student-centered learning approach suitable to the 2013 Science Course Curriculum was given to the students, and no experimental procedure was applied. In the experiment group, 2013 Science Course Curriculum was followed, and teaching was carried out with technology enriched science teaching applications. At the end of the research, it was found that the achievement levels of the experiment group with the technology enriched science teaching applications increased significantly and was higher at a meaningful level than the achievement of the control group students. According to this findings, it can be suggested that technology enriched teaching should also be used in science teaching to address individual differences by enriching teaching

    Improving mathematics in key stages two and three:evidence review

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    This document presents a review of evidence commissioned by the Education Endowment Foundation to inform the guidance document Improving Mathematics in Key Stages Two and Three (Education Endowment Foundation, 2017). There have been a number of recent narrative and systematic reviews of mathematics education examining how students learn and the implications for teaching (e.g., Anthony & Walshaw, 2009; Conway, 2005; Kilpatrick et al., 2001; Nunes et al., 2010). Although this review builds on these studies, this review has a different purpose and takes a different methodological approach to reviewing and synthesising the literature. The purpose of the review is to synthesise the best available international evidence regarding teaching mathematics to children between the ages of 9 and 14 and to address the question: what is the evidence regarding the effectiveness of different strategies for teaching mathematics? In addition to this broad research question, we were asked to address a set of more detailed topics developed by a group of teachers and related to aspects of pupil learning, pedagogy, the use of resources, the teaching of specific mathematical content, and pupil attitudes and motivation. Using these topics, we derived the 24 research questions that we address in this review. Our aim was to focus primarily on robust, causal evidence of impact, using experimental and quasi-experimental designs. However, there are a very large number of experimental studies relevant to this research question. Hence, rather than identifying and synthesising all these primary studies, we focused instead on working with existing meta-analyses and systematic reviews. This approach has the advantage that we can draw on the findings of a very extensive set of original studies that have already been screened for research quality and undergone some synthesis. Using a systematic literature search strategy, we identified 66 relevant meta-analyses, which synthesise the findings of more than 3000 original studies. However, whilst this corpus of literature is very extensive, there were nevertheless significant gaps. For example, the evidence concerning the teaching of specific mathematical content and topics was limited. In order to address gaps in the meta-analytic literature, we supplemented our main dataset with 22 systematic reviews identified through the same systematic search strategy

    Adolescent Literacy and Textbooks: An Annotated Bibliography

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    A companion report to Carnegie's Time to Act, provides an annotated bibliography of research on textbook design and reading comprehension for fourth through twelfth grade, arranged by topic. Calls for a dialogue between publishers and researchers

    Teaching Primary Science with Computer Simulation – an Intervention Study in State of Kuwait

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    This thesis describes an investigation into use of interactive computer simulations software in primary science education. The research questions are what effects teaching with interactive computer simulations have on students’ achievement, their conceptual change in particular science topics and on their attitudes. The question was investigated in an intervention study that tested use of simulations in two different pedagogical environments. The first environment used simulations in a computer laboratory, with students using blended learning (combining computer-based learning with non-computer learning). In this environment students worked independently on the computer. The second environment is class teaching. In this environment, the simulation was used on one computer, controlled by the teacher, in front of the class. The study also investigated ease of use and looked into practical consideration of computer-based teaching expressed by students and teachers. Three science topics were studied. The novelty of the research is using computer simulations in an Arabic nation, which has widespread use of traditional didactic-oriented pedagogy. Recent educational reforms have made demand for more student-oriented teaching, with use of practical experiments in primary science. This major change is difficult to implement for practical reasons, and the study therefore asks if computer simulations may work as an alternative approach to reach the same aims. The theoretical frameworks for the study are constructivism, conceptual change and cognitive multi-media theory. The first of these looks at the role of the student in learning, the second takes into consideration that students enter school with intuitive knowledge about natural phenomena and the last explains learning with use of computers. The theoretical frameworks were used to guide development of the simulation software and the intervention. The participants were 365 students in year five (10-11 year olds) and eight science teachers in Kuwait, located at eight different primary schools. All schools were single sex, with half the schools of each gender. All teachers were female. The study used a quasi-experimental design and separated the students into two experimental groups and two control groups. The first experimental group, which used simulations in computer labs, had 91 students in four primary schools (two boys’ and two girls’ schools). A matching control group with the same number of students was established in the same schools. The other experiment group had 92 students using simulations in the classroom. This group was also matched with an appropriate control group. The eight teachers taught both experimental and control group students. The control groups used traditional teaching. The experiment was carried out in the academic year 2010-2011. The study measured effects of the interventions with pre- and post achievement tests and attitude questionnaires. Students in the experimental groups also answered a usability questionnaire. A sub-sample of students and all teachers were interviewed for triangulation of the questionnaire data and to learn more about experiences with using the simulation software. The results of the study revealed no statistically significant difference (at the 0.05 level) in achievement or attitude between the students who used computer simulations in the computer laboratory. Students, however, who were taught with simulations in the classroom scored significantly higher on both achievement tests and attitude questionnaires. This benefit applied also to conceptual change of specific topics. In general, the interviews revealed that science teachers and students were satisfied with the simulation program used in science teaching and learning. However, the interviews indicated that there were some problems related to infrastructure and use of computers in the teaching that might have influenced the outcome of the study. These problems are relevant also to use of computer simulations in science teaching more widely

    Applying science of learning in education: Infusing psychological science into the curriculum

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    The field of specialization known as the science of learning is not, in fact, one field. Science of learning is a term that serves as an umbrella for many lines of research, theory, and application. A term with an even wider reach is Learning Sciences (Sawyer, 2006). The present book represents a sliver, albeit a substantial one, of the scholarship on the science of learning and its application in educational settings (Science of Instruction, Mayer 2011). Although much, but not all, of what is presented in this book is focused on learning in college and university settings, teachers of all academic levels may find the recommendations made by chapter authors of service. The overarching theme of this book is on the interplay between the science of learning, the science of instruction, and the science of assessment (Mayer, 2011). The science of learning is a systematic and empirical approach to understanding how people learn. More formally, Mayer (2011) defined the science of learning as the “scientific study of how people learn” (p. 3). The science of instruction (Mayer 2011), informed in part by the science of learning, is also on display throughout the book. Mayer defined the science of instruction as the “scientific study of how to help people learn” (p. 3). Finally, the assessment of student learning (e.g., learning, remembering, transferring knowledge) during and after instruction helps us determine the effectiveness of our instructional methods. Mayer defined the science of assessment as the “scientific study of how to determine what people know” (p.3). Most of the research and applications presented in this book are completed within a science of learning framework. Researchers first conducted research to understand how people learn in certain controlled contexts (i.e., in the laboratory) and then they, or others, began to consider how these understandings could be applied in educational settings. Work on the cognitive load theory of learning, which is discussed in depth in several chapters of this book (e.g., Chew; Lee and Kalyuga; Mayer; Renkl), provides an excellent example that documents how science of learning has led to valuable work on the science of instruction. Most of the work described in this book is based on theory and research in cognitive psychology. We might have selected other topics (and, thus, other authors) that have their research base in behavior analysis, computational modeling and computer science, neuroscience, etc. We made the selections we did because the work of our authors ties together nicely and seemed to us to have direct applicability in academic settings

    Meaningful Use of Animation and Simulation in the Science Classroom

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    Science classes should place a strong emphasis on incorporating educational technologies, such as animations, interactive computer programs and various other technologies into the classroom. The use of animations and computer based simulations throughout instruction increases student understanding and achievement (Rosen, 2009). The use of educational technology in the science classroom, not only helps with student understanding of content, but also positively impacts students’ engagement in lessons and their attitudes towards learning (Shu-Nu, Yau-Yuen & May, 2009). Studies have shown that instruction in a science classroom should incorporate students being actively engaged in the material in order for maximum achievement to occur. Students need to be able to take concepts from the science classroom and apply them to their everyday lives. Through the use of animations and simulations this connection can be bridged more effectively than through traditional instruction. The incorporation of computer animations and models provide enhancement and relevance to science learning. Incorporating more educational technology such as animations and computer-based simulations is of ever increasing importance because federal legislation mandates an emphasis on technology integration in all areas of K-12 education (U.S. Department of Education, 2002). Under this mandate, education leaders at the state and local levels are expected to develop plans to effectively utilize educational technologies, such as simulations in the classroom
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