607 research outputs found
Teacher Efficacy and the Use of Specific Instructional Practices by Seventh- and Eighth-Grade Science Teachers in the United States
Problem. Current reform efforts in science education are constructivist in nature and call for major changes in the way science has been taught in the schools. Teacher efficacy, a measure of perceived instructional empowerment, is one variable which has been linked to teacher change and general classroom innovation. However, the specific relationship between efficacy and innovative science instruction had not been examined.
Method. This descriptive study employed a correlational design utilizing cross-sectional survey methodology. Data were collected via a three-part survey instrument. The purpose ofthis design was to gather descriptive data on science education in seventh- and eighth-grade classes in the United States and to correlate reported use of instructional practiceswith teacher efficacy scores and selected context variables.
Study participants totaled 285 from an original national sample of 543, for a net return rate of 52.5%. The data from these respondents were presented through descriptive statistics, Spearman rho correlation, and chi square.
Results. Data were presented concerning the reported use of specific instructional practices in seventh- and eighth-grade science education in the United States. Discussion and lecture were the two most commonly used instructional methods. Results show use of hands-on lab activities increased 4%, while use of lecture has decreased almost 6% since 1977.
Hypothesis testing resulted in the rejection of both of the study\u27s null hypotheses. Significant relationships were found between 34 specific instructional practices and teacher efficacy. The number and size of correlation coefficients were greater between efficacy and constructivist practices than between efficacy and traditional, absorption-type practices, although all correlations were weak.
Fifty-three statistically significant correlations were found between use of specific instructional practices and years of teaching and between specific instructional practicesand perceived qualifications to teach science classes.
Conclusions. While these correlations were statistically significant, they were typically small. The descriptive data suggested the use of a variety of teaching practices by science teachers in the seventh- and eighth-grade classroom. The large number of small yet significant correlations supports this conceptualization. External validity of this sample was supported through a comparison of demographic features with Weiss\u27s (1994) national probability sample
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Influential Article Review- How tech Startups Achieve Maturity
This paper examines business and technology. We present insights from a highly influential paper. Here are the highlights from this paper: Resulting from the digital revolution of the last decades, multiple startup hubs flourished across the globe in the past 10 years. Healthy environments for the development of innovative, nascent digital enterprises require a well-balanced variety of agents and supporting processes, which we collectively call a software startup ecosystem. These ecosystems are fundamental for the insertion of countries in the digital economy of the twenty-first century. However, having all the elements that compose such environments in the most advanced and prolific state is difficult and relatively rare. In this paper, we show that startup ecosystems can evolve over time passing through a sequence of maturity level stages. For that, we introduce a maturity model for software startup ecosystems based on systematic qualitative research around a multiple case study we conducted across three ecosystems. The study was carried out over 4 years and included an extensive array of data collection mechanisms such as literature reviews, expert interviews, and observations in three relevant ecosystems (Tel-Aviv, São Paulo, and New York); all collected data were analyzed with techniques based on Grounded Theory, resulting in a conceptual framework of software startup ecosystems. Finally, we developed a maturity model for startup ecosystems, which helps us understand their evolution and dynamics. Moreover, it can serve as a basis for stakeholders in less mature ecosystems to analyze their environment, identify weak spots, and propose policies and practical actions for improving their ecosystems over time. For our overseas readers, we then present the insights from this paper in Spanish, French, Portuguese, and German
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