Hasil untuk "American literature"

G. Lichtenstein, E. Loftus, K. Isaacs et al.

A. Tunkel, R. Hasbún, A. Bhimraj et al.

R. Chapman, J. Fevery, A. Kalloo et al.

M. Silverstein

Gautam Ray, J. Barney, W. A. Muhanna

J. Boyd, Gianni De Nicolò

P. Banks, M. Freeman

D. Cooke, C. Michie

J. Perry

Verónica Benet‐Martínez, Jana Haritatos

R. Hegger, H. Kantz, T. Schreiber

We describe the implementation of methods of nonlinear time series analysis which are based on the paradigm of deterministic chaos. A variety of algorithms for data representation, prediction, noise reduction, dimension and Lyapunov estimation, and nonlinearity testing are discussed with particular emphasis on issues of implementation and choice of parameters. Computer programs that implement the resulting strategies are publicly available as the TISEAN software package. The use of each algorithm will be illustrated with a typical application. As to the theoretical background, we will essentially give pointers to the literature. (c) 1999 American Institute of Physics.

W. Ferson, Rudi W. Schadt

R. Lalonde

M. Lamont, Annette Lareau

J. Black, G. K. Stephens

M. Rybak, B. Lomaestro, J. Rotschafer et al.

L. Poff, J. Olden, Nicole K. M. Vieira et al.

M. Parshall, R. Schwartzstein, Lewis Adams et al.

Irene Lopez Sanchez

This article examines Emily Dickinson’s poetics through the lens of connection, interpreting her perceived disconnection as a deliberate retreat to foster creativity and self-awareness. Using Carl Jung’s concept of “twin existences” and Kae Tempest’s insights on present awareness, the study explores how Dickinson’s emphasis on the “Eternal Now” underscores the significance of everyday action in affirming human existence and creating a sense of connection with oneself and others. Drawing on several of Dickinson’s poems and letter fragments, as well as historical and feminist interpretations of her life, this article argues that her rejection of conventional standards allowed for a profound engagement with the dualities of life—connection and disconnection, life and death. This analysis offers a new perspective on Dickinson’s work and life, revealing how her poetic practices advocate for the daily nurturing of meaningful connections, contributing to broader discussions on creativity and human interaction. 

Lin Lin, Danhua Zhou, Jingying Wang et al.

The rapid development of artificial intelligence has driven the transformation of educational evaluation into big data-driven. This study used a systematic literature review method to analyzed 44 empirical research articles on the evaluation of big data education. Firstly, it has shown an increasing trend year by year, and is mainly published in thematic journals such as educational technology, science education, and language teaching. Chinese and American researchers have made the greatest contributions in this field. Secondly, the algorithmic models for big data education evaluation research are diverse, the text modality is the most popular, the evaluation subjects are mainly college students, with fewer primary and secondary school students, and science is the discipline that most commonly applies big data education evaluation. The evaluation objectives of big data education evaluation mainly focus on five aspects: high-order thinking analysis, learning performance prediction, learning emotion recognition, teaching management decision-making, and evaluation mode optimization, and the text modality is widely used for data collection in high-order thinking analysis; regardless of the evaluation objectives, higher education students are the most widely evaluated objects; the science discipline is the main field of using big data technology to empower teaching evaluation. Thirdly, the current research topics of big data education evaluation mainly focus on online learning behavior and environmental participation evaluation, process assessment of learning motivation and emotional analysis, development and optimization of subject domain big data models, cognitive diagnosis and high-order thinking skills evaluation, and design of learning analysis frameworks based on data mining.