Identifying Liars Through Automatic Decoding of Children's Facial Expressions     

Kaila C. Bruer  Sarah Zanette  Xiao Pan Ding  Thomas D. Lyon  Kang Lee 《Child development》2020,91(4):e995-e1011

This study explored whether children's (N = 158; 4- to 9 years old) nonverbal facial expressions can be used to identify when children are being deceptive. Using a computer vision program to automatically decode children's facial expressions according to the Facial Action Coding System, this study employed machine learning to determine whether facial expressions can be used to discriminate between children who concealed breaking a toy(liars) and those who did not break a toy(nonliars). Results found that, regardless of age or history of maltreatment, children's facial expressions could accurately (73%) be distinguished between liars and nonliars. Two emotions, surprise and fear, were more strongly expressed by liars than nonliars. These findings provide evidence to support the use of automatically coded facial expressions to detect children's deception.  相似文献   

A Web-Based Virtual Microscopy Platform for Improving Academic Performance in Histology and Pathology Laboratory Courses: A Pilot Study     

Bai-Chin Lee  Sung-Tsang Hsieh  Yih-Leong Chang  Fen-Yu Tseng  Yu-Jung Lin  Yuh-Lien Chen  Shu-Huei Wang  Yu-Fong Chang  Yi-Lwun Ho  Yen-Hsuan Ni  Shan-Chwen Chang 《Anatomical sciences education》2020,13(6):743-758

Virtual microscopy (VM) has been utilized to improve students' learning experience in microscope laboratory sessions, but minimal attention has been given to determining how to use VM more effectively. The study examined the influence of VM on academic performance and teacher and student perceptions and compared laboratory test scores before and after VM incorporation. A total of 662 third-year students studying histology and 651 fourth-year students studying pathology were divided into two groups. The light microscopy (LM) group used a light microscope in 2014 and 2015, while the LM + VM group used the VM platform and a light microscope in 2016 and 2017. Four factors positively predict laboratory scores (R square, 0.323; P < 0.001): (i) the pathology course and test-enhanced learning, (ii) the VM platform and experience, (iii) medical students and lecture scores, and (iv) female students. The LM + VM group exhibited less score variability on laboratory examinations relative to their mean than the LM group. The LM + VM group was also associated with fewer failing grades (F grade; odds ratio, 0.336; P < 0.001) and higher scores (A grade; odds ratio, 2.084; P < 0.001) after controlling for sex, school, course, and lecture grades. The positive effect of the VM platform on laboratory test grades was associated with prior experience using the VM platform and was synergistic with more interim tests. Both teachers and students agreed that the VM platform enhanced laboratory learning. The incorporation of the VM platform in the context of test-enhanced learning may help more students to master microscopic laboratory content.  相似文献   

Idea generation in biomedical engineering courses using Design Heuristics     

Jin Woo Lee  Anastasia Ostrowski  Aileen Huang-Saad  Colleen M. Seifert 《European Journal of Engineering Education》2019,44(3):360-378

ABSTRACT

With increasing demand for improved medical equipment and healthcare, next-generation biomedical engineers need strong design skills. Equipping biomedical engineering students with tools for idea generation and development can increase student design success. Design Heuristics are an ideation tool developed through empirical studies of product designs. While identified in the mechanical engineering space, Design Heuristics may be applicable in biomedical engineering design. In our study, we implemented a Design Heuristics session during upper-level undergraduate and first-year graduate biomedical engineering design courses. We examined the applicability of Design Heuristics within individual and team concept generation contexts. The findings demonstrated that biomedical engineering students were able to use Design Heuristics to generate multiple concepts, and that initial concepts produced using Design Heuristics were carried over into final team design. The results support the applicability of Design Heuristics to student idea generation in biomedical engineering design.  相似文献   

Academic Self-Perceptions and Academic Achievement in Chinese Children: A Multiwave Longitudinal Study     

Rui Fu  Jinsol Lee  Xinyin Chen  Li Wang 《Child development》2020,91(5):1718-1732

This study examined reciprocal contributions between academic self-perceptions and academic achievement. Data were collected each year in four consecutive years from a sample of children in China (initial N = 1,156; 581 boys; initial M_age = 9.33 years). Analyses using random intercept cross-lagged panel models revealed that the effects of academic achievement on self-perceptions tended to be more evident in lower grades and the effects of academic self-perceptions on achievement tended to be more evident in higher grades. Latent growth curve analyses showed that the initial level of academic self-perceptions and achievement moderated the growth of each other. The results indicate the contributions between academic self-perceptions and achievement that occur in a progressive cascading manner in Chinese children.  相似文献   

Logistic Regression Procedure Using Penalized Maximum Likelihood Estimation for Differential Item Functioning     

Sunbok Lee 《Journal of Educational Measurement》2020,57(3):443-457

In the logistic regression (LR) procedure for differential item functioning (DIF), the parameters of LR have often been estimated using maximum likelihood (ML) estimation. However, ML estimation suffers from the finite-sample bias. Furthermore, ML estimation for LR can be substantially biased in the presence of rare event data. The bias of ML estimation due to small samples and rare event data can degrade the performance of the LR procedure, especially when testing the DIF of difficult items in small samples. Penalized ML (PML) estimation was originally developed to reduce the finite-sample bias of conventional ML estimation and also was known to reduce the bias in the estimation of LR for the rare events data. The goal of this study is to compare the performances of the LR procedures based on the ML and PML estimation in terms of the statistical power and Type I error. In a simulation study, Swaminathan and Rogers's Wald test based on PML estimation (PSR) showed the highest statistical power in most of the simulation conditions, and LRT based on conventional PML estimation (PLRT) showed the most robust and stable Type I error. The discussion about the trade-off between bias and variance is presented in the discussion section.  相似文献   

Value Profiles During Middle Childhood: Developmental Processes and Social Behavior     

Ella Daniel  Maya Benish-Weisman  Joanne N. Sneddon  Julie A. Lee 《Child development》2020,91(5):1615-1630

Little is known about how children's value priorities develop over time. This study identifies children's value priority profiles and follows their development during middle childhood. Australian children (N = 609; ages 5–12 at Time 1) reported their values over 2 years. Latent Transition Analysis indicated four profiles: Social-Focus, Self-Focus, Growth-Focus and Undifferentiated. Within person development was characterized by profile stability or transfer to the Social-Focus profile. Younger children were more likely to have an Undifferentiated profile (or Self-Focus among boys) than older ones. Girls were more likely to have a Social-Focus profile or transfer to it, and less likely to have a Self- or Growth-Focus profile than boys. Social-Focus profile membership over time predicted more prosocial and less aggressive behavior.  相似文献   

Priming urban learners' attitudes toward the relevancy of science: A mixed-methods study testing the importance of context     

Phillip A. Boda  Bryan Brown 《科学教学研究杂志》2020,57(4):567-596

The development of three-dimensional learning among all K-12 student demographics remains a prominent goal for the field of science education. However, substantial research in science teacher education for urban populations showcases hurdles to overcome in order to achieve this goal, particularly for elementary teachers. Research shows that urban elementary teachers are often ill-prepared to develop a type of science pedagogy responsive to students' learning needs. The fidelity of such pedagogies that these teachers adhere to when trying to implement such a requested content–relationality between these populations and how their local contexts can be used as sites to learn science in relevant ways are often not fully realized, as well. Given that science achievement gaps exhibit racial disparities starting in primary grades and attitudes toward science have been shown to affect academic achievement and motivation, we argue that one way to ameliorate, in at least an incremental way, this disparity is to design novel learning experiences to prime students to see the relevancy of science in their local contexts before such three-dimensional designed learning is set to occur. In this research, we leveraged the immersive nature of Virtual Reality 360 videos and present a design-based research iteration testing how this novel technologically enhanced learning experience may have influenced close to 400 urban elementary students' attitudes toward science around those attitudes labeled as “behavioral beliefs” by the field. Using a concurrent, convergent mixed-methods design with a two-way multivariate analysis of covariance quantitative data set triangulated with students' qualitative self-reports that were transformed into quantitative preponderances in graphic form, the data support that our design iteration emphasizing the importance of context as a design focus can prime students who struggle to see science as relevant to change their attitudes. Implications are discussed around relationality, novel technological affordances, and the use of local contexts as learning resources.  相似文献   

Toward a Developmental Science of Politics     

Meagan M. Patterson  Rebecca S. Bigler  Erin Pahlke  Christia Spears Brown  Amy Roberson Hayes  M. Chantal Ramirez  Andrew Nelson 《Monographs of the Society for Research in Child Development》2019,84(3):7-185

In this monograph, we argue for the establishment of a developmental science of politics that describes, explains, and predicts the formation and change of individuals’ political knowledge, attitudes, and behavior beginning in childhood and continuing across the life course. Reflecting our goal of contributing both theoretical conceptualizations and empirical data, we have organized the monograph into two broad sections. In the first section, we outline theoretical contributions that the study of politics may make to developmental science and provide practical reasons that empirical research in the domain of politics is important (e.g., for identifying ways to improve civics education and for encouraging higher voting rates among young adults). We also review major historical approaches to the study of political development and provide an integrative theoretical framework to ground future work. Drawing on Bronfenbrenner's ecological systems model as an organizing scheme and emphasizing social justice issues, we describe how factors rooted in cultural contexts, families, and children themselves are likely to shape political development. In the second section of the monograph, we argue for the importance and utility of studying major political events, such as presidential elections, and introduce the major themes, rationales, and hypotheses for a study of U.S. children's views of the 2016 U.S. presidential election. In addition, we apply a social-justice lens to political thought and participation, addressing the role of gender/sex and race/ethnicity in children's political development broadly, and in their knowledge and views of the 2016 U.S. presidential election specifically. In interviews conducted within the month before and after the election, we examined two overarching categories of children's political attitudes: (a) knowledge, preferences, and expectations about the 2016 election, and (b) knowledge and attitudes concerning gender/sex and politics, particularly relevant for the 2016 election given Hillary Clinton's role as the first female major-party candidate for the presidency. Participants were 187 children (101 girls) between 5 and 11 years of age (M = 8.42 years, SD = 1.45 years). They were recruited from schools and youth organizations in five counties in four U.S. states (Kansas, Kentucky, Texas, and Washington) with varying voting patterns (e.g., Trump voters ranged from 27% to 71% of county voters). The sample was not a nationally representative one, but was racially diverse (35 African American, 50 Latinx, 81 White, and 21 multiracial, Asian American, Middle Eastern, or Native American children). In addition to several child characteristics (e.g., age, social dominance orientation [SDO]), we assessed several family and community characteristics (e.g., child-reported parental interest in the election and government-reported county-level voting patterns, respectively) hypothesized to predict outcome variables. Although our findings are shaped by the nature of our sample (e.g., our participants were less likely to support Trump than children in larger, nationwide samples were), they offer preliminary insights into children's political development. Overall, children in our sample were interested in and knowledgeable about the presidential election (e.g., a large majority identified the candidates correctly and reported some knowledge about their personal qualities or policy positions). They reported more information about Donald Trump's than Hillary Clinton's policies, largely accounted for by the substantial percentage of children (41%) who referred to Trump's immigration policies (e.g., building a wall between the United States and Mexico). Overall, children reported as many negative as positive personal qualities of the candidates, with negative qualities being reported more often for Trump than for Clinton (56% and 18% of children, respectively). Most children (88%) supported Clinton over Trump, a preference that did not vary by participants’ gender/sex or race/ethnicity. In their responses to an open-ended inquiry about their reactions to Trump's win, 63% of children reported negative and 18% reported positive emotions. Latinx children reacted more negatively to the election outcome than did White children. Girls’ and boys’ emotional responses to the election outcome did not differ. Children's personal interest in serving as U.S. president did not vary across gender/sex or racial/ethnic groups (overall, 42% were interested). Clinton's loss of the election did not appear to depress (or pique) girls’ interest in becoming U.S. president. With respect to the role of gender/sex in politics, many children (35%) were ignorant about women's absence from the U.S. presidency. Only a single child was able to name a historical individual who worked for women's civil rights or suffrage. Child characteristics predicted some outcome variables. For example, as expected, older children showed greater knowledge about the candidates than did younger children. Family and community characteristics also predicted some outcome variables. For example, as expected, participants were more likely to support Trump if they perceived that their parents supported him and if Trump received a greater percentage of votes in the children's county of residence. Our data suggest that civic education should be expanded and reformed. In addition to addressing societal problems requiring political solutions, civics lessons should include the histories of social groups’ political participation, including information about gender discrimination and the women's suffrage movement in U.S. political history. Providing children with environments that are rich in information related to the purpose and value of politics, and with opportunities and encouragement for political thought and action, is potentially beneficial for youth and their nations.  相似文献   

Classification Consistency and Accuracy With Atypical Score Distributions     

Stella Y. Kim  Won-Chan Lee 《Journal of Educational Measurement》2020,57(2):286-310

The current study aims to evaluate the performance of three non-IRT procedures (i.e., normal approximation, Livingston-Lewis, and compound multinomial) for estimating classification indices when the observed score distribution shows atypical patterns: (a) bimodality, (b) structural (i.e., systematic) bumpiness, or (c) structural zeros (i.e., no frequencies). Under a bimodal distribution, the normal approximation procedure produced substantially large bias. For a distribution with structural bumpiness, the compound multinomial procedure tended to introduce larger bias. Under a distribution with structural zeroes, the relative performance of selected estimation procedures depended on cut score location and the sample-size conditions. In general, the differences in estimation errors among the three procedures were not substantially large.  相似文献   

Validation of the swimming competence questionnaire for children     

Derwin K. C. Chan  Alfred Sing Yeung Lee  Duncan J. Macfarlane  Martin S. Hagger  Kyra Hamilton 《Journal of sports sciences》2020,38(14):1666-1673

ABSTRACT

Two studies were employed to test the reliability and validity of the Swimming Competence Questionnaire (SCQ) among primary school children. Study 1 was a cross-sectional survey in 4959 primary school children. Study 2 was a pre-post-test quasi-experiment among 1609 primary school children who underwent a 20-lesson learn-to-swim programme. In Study 1, exploratory structural equation modelling revealed excellent goodness-of-fit and scale reliability for a two-factor model comprising distance and skill factors, which supported the construct and convergent validity. SCQ scores were significantly and positively correlated with swimming outcomes (i.e., self-efficacy, intention, swimming frequency), which supported SCQ’s concurrent and criterion validity. Average variance extracted for the SCQ factors exceeded cut-off criteria supporting discriminant validity. In Study 2, pre-test SCQ scores correlated significantly and positively with the SCQ scores, self-efficacy, intention, and swimming frequency at post-test, which supported SCQ’s test-retest reliability and predictive validity. Positive intraclass correlation between SCQ scores and coach ratings at post-test provided evidence for SCQ’s inter-rater reliability. SCQ scores significantly improved at post-test, which supported SCQ’s ecological validity. In conclusion, findings indicate that the SCQ is a valid and reliable measure to assess primary school children’s swimming competence, in terms of swimming distance and basic water survival skills.  相似文献