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101.
Abstract

A longitudinal pilot study investigating the cumulative effects of reality therapy counseling and individualized instruction on the control expectancy and success rates of high-risk community college students was conducted. Findings support the tentative hypotheses that control expectancy, achievement, and holding power can be modified by instruction and counseling. The study was conducted over a three-year period at a community college in southeastern North Carolina.  相似文献   
102.
Collis  Betty  Peters  Oscar  Pals  Nico 《Instructional Science》2001,29(2):95-125
This study of 550 persons, predominately education professionals, was designed to test an integrated theoretical model (the 4-E Model) for predicting the likelihood of the use of telecommunications-related technological innovations (in particular, e-mail, the WWW, and videoconferencing) in learning-related settings. The four Es in the model, derived from a series of previous studies (Collis & Pals, 1999), are environmental factors, effectiveness, ease of use, and (personal) engagement. The model was first tested using factor-analytic procedures on the results of a 54-item questionnaire adminstered via the WWW to a sample of 550 persons from 39 countries. Twelve factors with eigenvalues greater than 1.00 were extracted and latent variables were generated to correspond with the factors. The factors as interpreted by items with loadings <0.500 supported the 4-E Model, but indicated that the four theoretical e dimensions could be further expressed in terms of subaspects. In addition, a series of variables related to likelihood of use of e-mail, the WWW, and videoconferencing in educational settings was also subjected to a factor analysis, resulting in three latent variables representing the dependent variables for a causal model. The causal model linking the latent variables was tested using a series of LISREL analyses, one for each of the derived dependent variables. The results, which again supported the 4-E Model, showed a strong contribution of the environment subfactor relating to the organization, as well as the engagement subfactor relating to the individual's self-confidence with respect to technology use to the prediction of implementation success. Based on the results of the factor analysis and the model validation, six of the latent variables related to the 4-E Model were identified as key to implementation prediction. These variables were used in a series of analyses of key subgroups in the sample, relating to educational sector, educational role, to gender, and to age, in order to examine key discriminating variables. The results are discussed in terms of their theoretical and practical implications, including the development of a WWW-based instrument.  相似文献   
103.
Statistical mediation analysis is used to investigate intermediate variables in the relation between independent and dependent variables. Causal interpretation of mediation analyses is challenging because randomization of subjects to levels of the independent variable does not rule out the possibility of unmeasured confounders of the mediator to outcome relation. Furthermore, commonly used frequentist methods for mediation analysis compute the probability of the data given the null hypothesis, which is not the probability of a hypothesis given the data as in Bayesian analysis. Under certain assumptions, applying the potential outcomes framework to mediation analysis allows for the computation of causal effects, and statistical mediation in the Bayesian framework gives indirect effects probabilistic interpretations. This tutorial combines causal inference and Bayesian methods for mediation analysis so the indirect and direct effects have both causal and probabilistic interpretations. Steps in Bayesian causal mediation analysis are shown in the application to an empirical example.  相似文献   
104.
With the widespread use of learning analytics (LA), ethical concerns about fairness have been raised. Research shows that LA models may be biased against students of certain demographic subgroups. Although fairness has gained significant attention in the broader machine learning (ML) community in the last decade, it is only recently that attention has been paid to fairness in LA. Furthermore, the decision on which unfairness mitigation algorithm or metric to use in a particular context remains largely unknown. On this premise, we performed a comparative evaluation of some selected unfairness mitigation algorithms regarded in the fair ML community to have shown promising results. Using a 3-year program dropout data from an Australian university, we comparatively evaluated how the unfairness mitigation algorithms contribute to ethical LA by testing for some hypotheses across fairness and performance metrics. Interestingly, our results show how data bias does not always necessarily result in predictive bias. Perhaps not surprisingly, our test for fairness-utility tradeoff shows how ensuring fairness does not always lead to drop in utility. Indeed, our results show that ensuring fairness might lead to enhanced utility under specific circumstances. Our findings may to some extent, guide fairness algorithm and metric selection for a given context.

Practitioner notes

What is already known about this topic
  • LA is increasingly being used to leverage actionable insights about students and drive student success.
  • LA models have been found to make discriminatory decisions against certain student demographic subgroups—therefore, raising ethical concerns.
  • Fairness in education is nascent. Only a few works have examined fairness in LA and consequently followed up with ensuring fair LA models.
What this paper adds
  • A juxtaposition of unfairness mitigation algorithms across the entire LA pipeline showing how they compare and how each of them contributes to fair LA.
  • Ensuring ethical LA does not always lead to a dip in performance. Sometimes, it actually improves performance as well.
  • Fairness in LA has only focused on some form of outcome equality, however equality of outcome may be possible only when the playing field is levelled.
Implications for practice and/or policy
  • Based on desired notion of fairness and which segment of the LA pipeline is accessible, a fairness-minded decision maker may be able to decide which algorithm to use in order to achieve their ethical goals.
  • LA practitioners can carefully aim for more ethical LA models without trading significant utility by selecting algorithms that find the right balance between the two objectives.
  • Fairness enhancing technologies should be cautiously used as guides—not final decision makers. Human domain experts must be kept in the loop to handle the dynamics of transcending fair LA beyond equality to equitable LA.
  相似文献   
105.
Storytelling has been shown to play a key role in transferring work experience from more experienced towards novices in a number of vocational educational practices, however previous studies have not to the same extent dealt with the role of students’ own storytelling practices for sensemaking of work experience. This study set out to examine police students’ storytelling of their first occupational experiences from a sensemaking perspective, with an analysis drawing on the concepts of enactment, selection, and retention. The study is based on participant observations of field training follow up sessions’ in the context of police education. Findings indicated that student storytelling of work experience tended to be geared towards action, extremeness and the telling of ‘war stories’. Furthermore, these type of stories functioned to enable student identification, self-enhancement and emotion management. These findings contribute to our current understanding of how students engage in sensemaking of work-based experiences and in extension how knowledge integration and learning from work placements can be structured pedagogically.  相似文献   
106.
This chapter explores the processes of privatisation of higher education in Chile (after 1981) and Romania (after 1989), focusing on the emergence of private institutions, the expansion in enrolments in these institutions, and the relative increase in private sources of funding for the post‐secondary sub‐sector. Attention is also given to related trends in higher education in these two countries: domestic marketisation (a strengthening of an orientation toward selling programmes/commodities to students/consumers within the country) and international commercialisation (an expansion of initiatives by domestic and foreign institutions to provide distance education, study abroad/exchange, and foreign site‐based degree programmes). Of importance to an understanding of globalisation, these two societies, which at the time exhibited similar economic systems but had different political systems and were situated in different regional contexts, experienced remarkably similar processes of and outcomes from privatisation, marketisation, and commercialisation. In both cases these processes were promoted by ‘internal’ political actors but also shaped by ‘external’ forces, notably the World Bank's higher education policy recommendations and the conditionalities included in the stabilisation and structural adjustment programmes ‘negotiated’, respectively, with the International Monetary Fund and the World Bank in order to obtain loans. As a result of these processes—occurring prior to and during the emergence of the General Agreement on Trade in Services (GATS) as a component of the World Trade Organization (WTO)—higher education institutions in both Chile and Romania are much more vulnerable to foreign influence/domination, although they also have somewhat greater opportunities to broaden their role in the global ‘business’ of higher education.  相似文献   
107.
108.
109.
Through the principles of the dramatistic nature of language, Kenneth Burke creates a unifying rationale of form. As such, form is the discursive progression of an idea to the satisfaction of audience expectations; these expectations are the product of rules of language use and of the conventional wisdom of society.  相似文献   
110.
The creation of some kind of representations depicting the current state of Science (or scientograms) is an established and beaten track for many years now. However, if we are concerned with the automatic comparison, analysis and understanding of a set of scientograms, showing for instance the evolution of a scientific domain or a face-to-face comparison of several countries, the task is titanically complex as the amount of data to analyze becomes huge and complex. In this paper, we aim to show that graph-based data mining tools are useful to deal with scientogram analysis. Subdue, the first algorithm proposed in the graph mining area, has been chosen for this purpose. This algorithm has been customized to deal with three different scientogram analysis tasks regarding the evolution of a scientific domain over time, the extraction of the common research categories substructures in the world, and the comparison of scientific domains between different countries. The outcomes obtained in the developed experiments have clearly demonstrated the potential of graph mining tools in scientogram analysis.  相似文献   
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