14,871 research outputs found

    Unmotivated or motivated to fail? A cross-cultural study of achievement motivation, fear of failure, and student disengagement

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    A classic distinction in the literature on achievement and motivation is between fear of failure and success orientations. From the perspective of self-worth theory, these motives are not bipolar constructs but dimensions that interact in ways that make

    Unmotivated or motivated to fail? A cross-cultural study of achievement motivation, fear of failure, and student disengagement

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    A classic distinction in the literature on achievement and motivation is between fear of failure and success orientations. From the perspective of self-worth theory, these motives are not bipolar constructs but dimensions that interact in ways that make some students particularly vulnerable to underachievement and disengagement from school. The current study employs the quadripolar model of need achievement (Covington, 1992; Covington & Omelich, 1988) to explore how these approach and avoidance orientations are related to self-handicapping, defensive pessimism, and helplessness in Eastern and Western settings. Although there have been numerous calls for research of this kind across cultures (Elliott & Bempechat, 2002; Jose & Kilburg, 2007; Pintrich, 2003), little exists in the field to date. In Study 1, with 1,423 Japanese high school students, helplessness and self-handicapping were found to be highest when students were low in success orientation and high in fear of failure. These findings were replicated in Study 2 with 643 Australian students and extended to measures of truancy, disengagement, and self-reported academic achievement. Consistent with self-worth theory, success orientation largely moderated the relationship between fear of failure and academic engagement in both cultures. These results suggest that in the absence of firm achievement goals, fear of failure is associated with a range of maladaptive self-protective strategies. The current project thus represents a unique application of self-worth theory to achievement dynamics and clarifies substantive issues relevant to self-handicapping and disengagement across cultures

    Context-Aware Systems for Sequential Item Recommendation

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    Quizlet is the most popular online learning tool in the United States, and is used by over 2/3 of high school students, and 1/2 of college students. With more than 95% of Quizlet users reporting improved grades as a result, the platform has become the de-facto tool used in millions of classrooms. In this paper, we explore the task of recommending suitable content for a student to study, given their prior interests, as well as what their peers are studying. We propose a novel approach, i.e. Neural Educational Recommendation Engine (NERE), to recommend educational content by leveraging student behaviors rather than ratings. We have found that this approach better captures social factors that are more aligned with learning. NERE is based on a recurrent neural network that includes collaborative and content-based approaches for recommendation, and takes into account any particular student's speed, mastery, and experience to recommend the appropriate task. We train NERE by jointly learning the user embeddings and content embeddings, and attempt to predict the content embedding for the final timestamp. We also develop a confidence estimator for our neural network, which is a crucial requirement for productionizing this model. We apply NERE to Quizlet's proprietary dataset, and present our results. We achieved an R^2 score of 0.81 in the content embedding space, and a recall score of 54% on our 100 nearest neighbors. This vastly exceeds the recall@100 score of 12% that a standard matrix-factorization approach provides. We conclude with a discussion on how NERE will be deployed, and position our work as one of the first educational recommender systems for the K-12 space

    Fingerprints of the hierarchical building up of the structure on the gas kinematics of galaxies

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    Recent observational and theoretical works have suggested that the Tully-Fisher Relation might be generalised to include dispersion-dominated systems by combining the rotation and dispersion velocity in the definition of the kinematical indicator. Mergers and interactions have been pointed out as responsible of driving turbulent and disordered gas kinematics, which could generate Tully-Fisher Relation outliers. We intend to investigate the gas kinematics of galaxies by using a simulated sample which includes both, gas disc-dominated and spheroid-dominated systems. Cosmological hydrodynamical simulations which include a multiphase model and physically-motivated Supernova feedback were performed in order to follow the evolution of galaxies as they are assembled. Both the baryonic and stellar Tully-Fisher relations for gas disc-dominated systems are tight while, as more dispersion-dominated systems are included, the scatter increases. We found a clear correlation between σ/Vrot\sigma / V_{\rm rot} and morphology, with dispersion-dominated systems exhibiting the larger values (>0.7> 0.7). Mergers and interactions can affect the rotation curves directly or indirectly inducing a scatter in the Tully-Fisher Relation larger than the simulated evolution since z3z \sim 3. Kinematical indicators which combine rotation velocity and dispersion velocity can reduce the scatter in the baryonic and the stellar mass-velocity relations. Our findings also show that the lowest scatter in both relations is obtained if the velocity indicators are measured at the maximum of the rotation curve. Moreover, the rotation velocity estimated at the maximum of the gas rotation curve is found to be the best proxy for the potential well regardless of morphology.Comment: 16 pages, 10 figures, accepted for publication in A&

    A thorough analysis of the short- and mid-term activity-related variations in the solar acoustic frequencies

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    The frequencies of the solar acoustic oscillations vary over the activity cycle. The variations in other activity proxies are found to be well correlated with the variations in the acoustic frequencies. However, each proxy has a slightly different time behaviour. Our goal is to characterize the differences between the time behaviour of the frequency shifts and of two other activity proxies, namely, the area covered by sunspots and the 10.7cm flux. We define a new observable that is particularly sensitive to the short-term frequency variations. We then compare the observable when computed from model frequency shifts and from observed frequency shifts obtained with the Global Oscillation Network Group (GONG) for cycle 23. Our analysis shows that on the shortest time-scales the variations in the frequency shifts seen in the GONG observations are strongly correlated with the variations in the area covered by sunspots. However, a significant loss of correlation is still found. We verify that the times when the frequency shifts and the sunspot area do not vary in a similar way tend to coincide with the times of the maxima of the quasi-biennial variations seen in the solar seismic data. A similar analysis of the relation between the 10.7cm flux and the frequency shifts reveals that the short-time variations in the frequency shifts follow even more closely those of the 10.7cm flux than those of the sunspot area. However, a loss of correlation between frequency shifts and 10.7cm flux variations is still found around the same times.Comment: 7 pages, 6 figures, accepted for publication in MNRA

    Understanding the Structural Scaling Relations of Early-Type Galaxies

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    We use a large suite of hydrodynamical simulations of binary galaxy mergers to construct and calibrate a physical prescription for computing the effective radii and velocity dispersions of spheroids. We implement this prescription within a semi-analytic model embedded in merger trees extracted from the Bolshoi Lambda-CDM N-body simulation, accounting for spheroid growth via major and minor mergers as well as disk instabilities. We find that without disk instabilities, our model does not predict sufficient numbers of intermediate mass early-type galaxies in the local universe. Spheroids also form earlier in models with spheroid growth via disk instabilities. Our model correctly predicts the normalization, slope, and scatter of the low-redshift size-mass and Fundamental Plane relations for early type galaxies. It predicts a degree of curvature in the Faber-Jackson relation that is not seen in local observations, but this could be alleviated if higher mass spheroids have more bottom-heavy initial mass functions. The model also correctly predicts the observed strong evolution of the size-mass relation for spheroids out to higher redshifts, as well as the slower evolution in the normalization of the Faber-Jackson relation. We emphasize that these are genuine predictions of the model since it was tuned to match hydrodynamical simulations and not these observations.Comment: Submitted to MNRA
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