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31.
运动技术教学是体育教学中的重要组成部分 ,在体育教学中如何搞好运动技术的教学 ,虽然一直为各体育院系所重视 ,但近年来函授学员的技术动作的掌握情况并不令人满意 ,以至于引出运动技术教学能否采用函授形式的话题。本文试对体育函授教育的运动技术教学应注意的问题进行一些探讨  相似文献   
32.
Asia Pacific Education Review - In this meta-analysis study, different leadership approaches were combined, and the relationship between educational leadership and student achievement was analyzed....  相似文献   
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This article reports on a study into the motivation of young Emirati undergraduate students for studying in a higher education institution in the United Arab Emirates (UAE). The participants were male and female undergraduate students in their first or second year of studying. The aim of the study was to examine their motivation using a framework that recognised the unique sociocultural context of the UAE. Data were analysed according to an adapted framework encompassing both Self-Determination Theory and Personal Investment theory. Self-Determination Theory was chosen due to its focus on different types of extrinsic motivation, and Personal Investment theory was chosen for its non-culture specific applicability. A major finding of the research is that an examination of motivation according to dichotomous relationships of intrinsic versus extrinsic, collectivist versus individualistic, self as individual versus self as part of society are over-simplistic in this specific context. A more useful paradigm is one in which the individual is influenced by personal and professional goals, as well as social and familial expectations. Unexpectedly, use of language (Arabic or English) did not influence the results. These findings will provide teachers and university administration with a better understanding of their students, and will replace certain stereotypes that teachers may have about their students and their motivation for studying.  相似文献   
35.
In this Reflection on Practice I argue the case for using the principles of scholarship of teaching and learning (SoTL) to serve as a framework for evaluating and designing peer observation programmes in higher education contexts. I suggest that for peer observation to be an activity worthy of SoTL, it should be systematic, collaborative, rigorous, peer reviewed, and focused on learning about teaching to improve teaching. Using a set of criteria to critique a current peer observation programme I account for its strengths and weaknesses and suggest a way forward for elevating the status of peer observation.  相似文献   
36.
Journal of Science Education and Technology - Manipulative environments play a fundamental role in inquiry-based science learning, yet how they impact learning is not fully understood. In a series...  相似文献   
37.
The design brief informs particularly the first phases of the design process; however, there are very limited studies on its role and functions. The current study proposes a framework that relates problem statement types in a design brief to creative outcomes by promoting the priming effect, which is a cognitive phenomenon describing the ways individuals behave accordingly to the way they receive a stimulus. The claim is that the brief has the potential to stimulate creativity and influence the type of outcomes by priming the design students using the problem statement. An experiment was conducted in which two groups of design students generated sketches in response to two types of problem statements (in noun and verb formations) in similar design briefs. The problem statements in verb formation were found to lead to a higher number of sketches containing more novel and flexible, yet less realisable ideas. The results support the contention that the design brief and the type of problem statements have the potential to act as a catalyst for creativity early in the design process.  相似文献   
38.
A class of discrete-time nonlinear system and measurement equations having incrementally conic nonlinearities and finite energy disturbances is considered. A linear matrix inequality-based design approach is presented, which guarantees the satisfaction of a variety of performance criteria ranging from simple estimation error boundedness to dissipativity. Some simulation examples are included to illustrate and provide support to the proposed design methodology.  相似文献   
39.
Technology-based, open-ended learning environments (OELEs) can capture detailed information of students' interactions as they work through a task or solve a problem embedded in the environment. This information, in the form of log data, has the potential to provide important insights about the practices adopted by students for scientific inquiry and problem solving. How to parse and analyse the log data to reveal evidence of multifaceted constructs like inquiry and problem solving holds the key to making interactive learning environments useful for assessing students' higher-order competencies. In this paper, we present a systematic review of studies that used log data generated in OELEs to describe, model and assess scientific inquiry and problem solving. We identify and analyse 70 conference proceedings and journal papers published between 2012 and 2021. Our results reveal large variations in OELE and task characteristics, approaches used to extract features from log data and interpretation models used to link features to target constructs. While the educational data mining and learning analytics communities have made progress in leveraging log data to model inquiry and problem solving, multiple barriers still exist to hamper the production of representative, reproducible and generalizable results. Based on the trends identified, we lay out a set of recommendations pertaining to key aspects of the workflow that we believe will help the field develop more systematic approaches to designing and using OELEs for studying how students engage in inquiry and problem-solving practices.

Practitioner notes

What is already known about this topic
  • Research has shown that technology-based, open-ended learning environments (OELEs) that collect users' interaction data are potentially useful tools for engaging students in practice-based STEM learning.
  • More work is needed to identify generalizable principles of how to design OELE tasks to support student learning and how to analyse the log data to assess student performance.
What this paper adds
  • We identified multiple barriers to the production of sufficiently generalizable and robust results to inform practice, with respect to: (1) the design characteristics of the OELE-based tasks, (2) the target competencies measured, (3) the approaches and techniques used to extract features from log files and (4) the models used to link features to the competencies.
  • Based on this analysis, we can provide a series of specific recommendations to inform future research and facilitate the generalizability and interpretability of results:
    • Making the data available in open-access repositories, similar to the PISA tasks, for easy access and sharing.
    • Defining target practices more precisely to better align task design with target practices and to facilitate between-study comparisons.
    • More systematic evaluation of OELE and task designs to improve the psychometric properties of OELE-based measurement tasks and analysis processes.
    • Focusing more on internal and external validation of both feature generation processes and statistical models, for example with data from different samples or by systematically varying the analysis methods.
Implications for practice and/or policy
  • Using the framework of evidence-centered assessment design, we have identified relevant criteria for organizing and evaluating the diverse body of empirical studies on the topic and that policy makers and practitioners can use for their own further examinations.
  • This paper identifies promising research and development areas on the measurement and assessment of higher-order constructs with process data from OELE-based tasks that government agencies and foundations can support.
  • Researchers, technologists and assessment designers might find useful the insights and recommendations for how OELEs can enhance science assessment through thoughtful integration of learning theories, task design and data mining techniques.
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