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1.
This study investigates when and how students activate co- and socially shared emotion and motivation regulation in collaborative learning and whether the S-REG mobile application tool can support this regulation. In a mathematics course, 44 higher education students worked with a collaborative assignment. The S-REG tool traced groups' emotional and motivational states in different sessions, and the occurrence of co-regulation and shared regulation of motivation and emotions were coded from video-recorded collaborative work (44 h). The groups activated more co-regulation than shared regulation of emotions and motivation, but the shared-regulation episodes were longer-lasting. The groups’ emotional and motivational states were associated with the occurrence of co-regulation in the beginning of the learning sessions. The results suggest that the S-REG tool balanced collaboration by prompting the groups to regulate emotions and motivation right in the beginning of the motivationally and emotionally challenging learning sessions.  相似文献   
2.
BackgroundResearch on achievement goal orientations in sport has typically relied on the use of variable-centered approaches that tend to overlook population heterogeneity. In this study, we used a person-centered approach to identify subgroups of competitive tennis players according to unique combinations of achievement goal orientations and tested for subgroup differences in motivation and mental toughness.MethodsA sample of 323 competitive tennis athletes (69.35% male) between 15 and 25 years of age (17.60 ± 2.40 years, mean ± SD) completed the 3 × 2 Achievement Goal Questionnaire for Sport, Sport Motivation Scale II, and Mental Toughness Index. Latent profile analysis was used to identify unique combinations of achievement goal orientations. Comparisons between latent subgroups on autonomous motivation, controlled motivation, and mental toughness were performed using analysis of variance.ResultsLatent profile analysis supported 3 distinct patterns of achievement goal profiles that were primarily distinguishable based on valence of competence (i.e., approach vs. avoidance). Analyses of variance indicated that athletes who were classified into subgroups that endorsed approach types of goals (regardless of the types of avoidance goals they endorsed) reported higher levels of autonomous motivation and mental toughness.ConclusionResults indicated that athletes tend to pursue a number of achievement goals collectively rather than in isolation. Although approach goals are more commonly linked to adaptive psychological functioning and positive outcomes, avoidance goals may also be associated with desirable psychological characteristics if they are pursued in conjunction with approach types of achievement goals.  相似文献   
3.
This study explored how confidence in prior knowledge, self-efficacy, interest, and prior knowledge interact in conceptual change learning. One hundred and sixteen college students completed an assessment of confidence in prior knowledge, self-efficacy, interest, prior scientific understanding, and prior misconceptions before reading a refutation text on seasonal change. Students’ misconceptions and scientific understanding of seasonal change was then assessed before and after reading a refutation text, and again at a two week delayed posttest. Three profiles of students emerged based on their confidence in prior knowledge, self-efficacy, interest, prior scientific understanding, and prior misconceptions. The profiles included: (1) Low (low confidence, self-efficacy, interest, and prior scientific understanding and high prior misconceptions), (2) mixed (high confidence, self-efficacy, and interest, but low prior scientific understanding and high prior misconceptions), and (3) high (high confidence, self-efficacy, interest, and prior scientific understanding and low prior misconceptions). Results indicated that the mixed profile appeared to be most productive for conceptual change and that learner characteristics most productive for conceptual change learning may differ from those most productive in other learning situations.  相似文献   
4.
Social Networking Sites (SNSs) play an important role in our daily lives and the number of their users increases regularly. To understand how users can be satisfied in the complex digital environment of SNSs, this study examines how motivations and emotions combine with each other to explain high satisfaction. Users’ motivations comprise four attributes, entertainment, information, social-psychological, and convenience. Emotions are divided into their two main categories, that is positive and negative emotions. We draw on complexity and configuration theories, present a conceptual model along with propositions and perform a fuzzy-set qualitative comparative analysis (fsQCA). Through an empirically study with 582 SNSs users, we present eight combinations (configurations) of motivations and emotions that lead to high satisfaction, which highlight the role of high convenience, followed by entertainment and information motivations in being satisfied with SNSs. High satisfaction can be achieved both when positive and negative emotions are high and low, depending on how they combine users’ motivations. None of the factors are indispensable to explain high satisfaction on their own, instead they are insufficient but necessary parts of the causal combinations that explain high satisfaction. This study contributes in SNSs literature by extending current knowledge on how motivations and emotions combine to increase satisfaction, and by identifying specific patterns of users for whom these factors are important and influence greatly their satisfaction.  相似文献   
5.
Motivation is fundamental to human agency and volitional behavior, and several influential theories have been proposed to explain why individuals choose or persist in a course of action (over others). New terms and concepts have proliferated as the theoretical models aim to be comprehensive, at the expense of parsimony. The theoretical models covered in this special issue each have their unique aspects and contributions, but four major dimensions cut across them: person factors comprising self (expectations, self-efficacy), social (modeling, comparisons), and cognitive aspects (self-regulation); task values; goals; and perceived costs and benefits. Motivation is determined by a complex interplay of internal and external factors, and we suggest that a greater focus on individuals’ motivation profiles, construal of situations, and metacognitive monitoring and control of goal pursuit might shed more light on the moment-by-moment decisions people make in daily life. Future research could be targeted at evaluating competing models (or perhaps more parsimonious ones) and enhancing interventions to address students who are unmotivated to excel in school.  相似文献   
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7.
《Sport Management Review》2020,23(4):615-625
The purpose of this study was to investigate influences of environmental and personal factors on volunteers’ behavioral intention. More specifically, the authors examined the relationships among work climate, intrinsic motivation, attitude, emotional exhaustion, and continuance intention through the lens of environmental psychology model. Survey forms tapping the interested outcomes were collected from 924 volunteers of a national sporting event in China. Results of structural equational modeling supported all hypothesized relationships, except the negative relationship between emotional exhaustion and continuance intention. This study expanded the understanding and application of the environmental psychology model in the context of volunteerism in sport.  相似文献   
8.
We systematically searched five databases to assess the potential of concept mapping-based technologies to promote self-regulated learning in science education. Our search uncovered 17 relevant studies that investigated seven different types of learning technologies. We performed a narrative analysis assessing how each technology affects self-regulated learning through cognitive, metacognitive, and motivation strategies, according to Schraw et al. (2006)'s model. We suggest concept mapping technologies may affect self-regulated learning through enhancing these strategies to varying degrees. Computer software was particularly useful for developing cognitive strategies through ease of use. Teaching agents were particularly useful for developing metacognitive strategies by coupling visualisation of knowledge patterns with performance monitoring, aided by a teaching metaphor. Finally, mobile devices and teaching agents were most effective in enhancing motivation. Effects on knowledge gains remain unclear due to small sample sizes.  相似文献   
9.
We collected think-aloud, pre-test, post-test, and motivation data from 43 undergraduates to examine the impact of conceptual scaffolds on the fluctuation of certain motivation constructs and use of self-regulatory processes during learning with hypermedia. Participants were randomly assigned to either the No Scaffolding (NS) or Conceptual Scaffolding (CS) condition. During the experimental session, each participant individually completed a pre-test on the circulatory system, a pre-task motivation questionnaire, one 30-min hypermedia learning task during which they learned about the circulatory system, a motivation questionnaire at three regular intervals during this learning task, a post-test on the circulatory system, and a post-task motivation questionnaire. Results indicated that while participants in both conditions gained declarative knowledge, participants who received conceptual scaffolds during learning demonstrated deeper understanding of the circulatory system on the post-test. In terms of self-regulatory processes, the results indicated that participants in the CS condition used significantly more planning processes during learning than participants in the NS condition. Additionally, participants in both conditions significantly decreased their use of strategies as they progressed through the learning task. Regarding motivation while learning with hypermedia, results indicated that participants in both conditions reported significantly increased levels of interest as they progressed through the learning task. Furthermore, participants in the CS condition reported the task as being easier and putting forth less effort than participants in the NS condition.
Daniel C. MoosEmail:
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10.
Given inconsistencies in the extant literature, achievement goal theory and research remain at an important crossroads, with ongoing questions about the conceptualization of achievement goals, measurement of achievement goals, and inferences made regarding achievement goal related findings. Using latent profile analysis, we explored how achievement goals vary across measures (PALS; Midgley et al., 2000 and AGQ-R; Elliot & Murayama, 2008) and domain (math vs. language arts) across a sample of primarily African American middle and high school students in the South. Main findings showed that the PALS and AGQ-R distinguish different profile goal-patterns, and that this is true across both the math and language arts domains. Not surprisingly, generally, students adopting more adaptive goal profiles (e.g., mastery or multiple) reported higher endorsement of cognitive engagement and social and academic future selves. Current findings support previous research observing disparate AGQ-R and PALS outcomes, adding evidence with domain-specific latent profiles. Given differences in profile patterns, findings suggest the instruments may be differentially tapping into goal perceptions.  相似文献   
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