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101.
The aim of this research is to examine the dimensions of junior high school teachers’ readiness for implementing a flipped classroom approach and to construct and validate an instrument—the Flipped-Classroom Teacher Scale (FCTS). Two sets of samples (170 and 495 junior high school teachers) served to explore and confirm the constructs of the FCTS model proposed by this study. The model has been empirically validated via exploratory factor analysis (EFA) and confirmatory factor analysis. The research participants were from different geographical locations in Taiwan. The FCTS consists of four factors: institutional support, technology self-efficacy (TSE), teacher beliefs and teaching strategies (TS). The results show that the FCTS model is a valid and reliable scale. Teachers may use the FCTS to gain a greater understanding of their instructional design and strategies in relation to flipped classrooms.  相似文献   
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As more and more educational institutions are providing online courses, it is necessary to design effective teaching methods integrated with technologies to benefit both teachers and students. The researcher in this study designed innovative online teaching methods of team-based learning (TBL) and co-regulated learning (CRL) to improve students' computing skills. The participants in this study were 124 undergraduates from three classes taking a compulsory course titled “Applied Information Technology: Data Processing.” There were three blended classes involved in this empirical study. The first group (EG1), which received the treatment of online TBL and CRL, and the second group (EG2), which received the treatment of online TBL only, were the experimental groups. The last group, which received the traditional teaching method, served as the control group. Before the experiment started, the author conducted a pretest to confirm that the differences of students' computing skills among the three groups were not significant at the beginning of the course. Based on the analysis of the post-test, the results indicate that students who received the intervention of online CRL had significantly better computing skills for using Excel by semester-end than those without. However, the intervention of online TBL did not contribute to better learning effects in this study. Based on the findings in this study, the author points out implications for teachers, schools, and educators, particularly for those responsible for courses focusing on solving ill-structured problems and those students who have typically received traditional didactic pedagogy for many years.  相似文献   
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This study investigated students’ modeling progress and strategies in a problem-solving simulation game through content analysis, and through supervised and unsupervised lag sequential analysis (LSA). Multiple data sources, including self-report models and activity logs, were collected from 25 senior high school students. The results of the content analysis found that the problem-solving simulation game helped most of the students to reflectively play with the science problem and build a workable model to solve it. By using the supervised LSA, it was found that the students who successful solved the game frequently linked the game contexts with the physics terminologies, while those who did not solve the problem simply relied on the intuitive knowledge provided in the reference materials. Furthermore, the unsupervised LSA identified four activity patterns that were not noticed in the supervised LSA: the fragmented, reference material centered, reference material aided modeling, and modeling centered patterns. Each pattern has certain associations with certain problem-solving outcomes. The results of this study also shed light on the use of different analytics techniques. While the supervised LSA is particularly helpful for depicting a contrast of activity patterns between two specific student groups, the unsupervised LSA is able to identify hidden significant patterns which were not clearly distinguished in the pre-defined student groups. Researchers may find these analytics techniques useful for analyzing students’ learning processes.  相似文献   
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Research in Science Education - This study aimed to explore the effect of peer coaching on science teachers’ practice and their students’ scientific competencies. The mixed method...  相似文献   
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The purpose of this study was to examine the impacts of embedding collaboration into a game with a self-explanation design for supporting the acquisition of light and shadow concepts. The participants were 184 fourth graders who were randomly assigned to three conditions: a solitary mode of the game with self-explanation, a collaborative mode with self-explanation, or the control condition of a single-user game without integrating self-explanation. Students' conceptual understanding was measured through an immediate posttest and a retention test with a three-week delay. Further, students' engagement in answering the prompts was also investigated. The findings showed that having students collaboratively play science-based games with a self-explanation design embedded was not sufficient to help them learn the science concepts. Rather, it was the level of engagement in responding to the self-explanation prompts that mattered.  相似文献   
106.
The purpose of this study was to develop and validate an online contextualized test for assessing students’ understanding of epistemic knowledge of science. In addition, how students’ understanding of epistemic knowledge of science interacts with learner factors, including time spent on science learning, interest, self-efficacy, and gender, was also explored. The participants were 489 senior high school students (244 males and 245 females) from eight different schools in Taiwan. Based on the result of an extensive literature review, we first identified six factors of epistemic knowledge of science, such as status of scientific knowledge, the nature of scientific enterprise, measurement in science, and so on. An online test was then created for assessing students’ understanding of the epistemic knowledge of science. Also, a learner-factor survey was developed by adopting previous PISA survey items to measure the abovementioned learner factors. The results of this study show that; (1) by factor analysis, the six factors of epistemic knowledge of science could be grouped into two dimensions which reflect the nature of scientific knowledge and knowing in science, respectively; (2) there was a gender difference in the participants’ understanding of the epistemic knowledge of science; and (3) students’ interest in science learning and the time spent on science learning were positively correlated to their understanding of the epistemic knowledge of science.  相似文献   
107.
A re-analysis of the cross-national data gathered by the International Association for the Evaluation of Educational Achievement (IEA) was undertaken to determine the magnitude, direction, and nature of differences in 17-year-old boys' and girls' attitudes and achievement in mathematics. A 10-item attitude scale and a 70-item achievement test were administered to 13,056 students attending school in ten countries. Sex differences in both attitude and achievement were small, but with few exceptions they favored males. Considerable variation existed between countries in the extent to which the achievement of boys exceeded that of girls, and in many cases, the magnitude of the differences was associated with psychosocial patterns found in the diverse cultures.  相似文献   
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With the proliferation of paid mobile learning applications (m-learning apps), understanding how to assess their success has become an important issue for academics and practitioners. Based on the information systems (IS) success models and the value-based adoption model, this study developed and validated a multidimensional model for assessing paid m-learning app success. The proposed model describes the interrelationships among seven paid m-learning app success variables: system quality, information quality, perceived enjoyment, perceived fee, user satisfaction, intention to reuse, and learning effectiveness. Data collected from 160 paid m-learning app users were tested against the research model using structural equation modeling (SEM). The empirical findings provide evidence that learning effectiveness is affected by user satisfaction and intention to reuse, which, in turn, are determined by system quality, information quality, perceived enjoyment, and perceived fee. The findings of this study provide several important theoretical and practical implications for the development, implementation, and promotion of paid m-learning apps.  相似文献   
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