Utilizing online learning data to design face-to-face activities in a flipped classroom: a case study of heterogeneous group formation

This study investigates the possibility of utilizing online learning data to design face-to-face activities in a flipped classroom. We focus on heterogeneous group formation for effective collaborative learning. Fifty-three undergraduate students (18 males, 35 females) participated in this study, and 8 students (3 males, 5 females) among them joined post-study interviews. For this study, a total of 6 student characteristics were used: three demographic characteristics obtained from a simple survey and three academic characteristics captured from online learning data. We define three demographic group heterogeneity variables and three academic group heterogeneity variables, where each variable is calculated using the corresponding student characteristic. In this way, each heterogeneity variables represents a degree of diversity within the group. Then, a two-stage hierarchical regression analysis was conducted to identify the significant group heterogeneity variables that influence face-to-face group achievement. The results show that the academic group heterogeneity variables, which were derived from the online learning data, accounted for a significant proportion of the variance in the group achievement when the demographic group heterogeneity variables were controlled. The interviews also reveal that the academic group heterogeneity indeed affected group interaction and learning outcome. These findings highlight that online learning data can be utilized to obtain relevant information for effective face-to-face activity design in a flipped classroom. Based on the results, we discuss the advantages of this data utilization approach and other implications for face-to-face activity design.

     

Learning Classroom Management Through Web-Based Case Instruction: Implications for Early Childhood Teacher Education

In this article, we report a research project on web-based case instruction that was developed and implemented to allow prospective early childhood teachers to be exposed to various dilemmas faced by practicing teachers. The goal of this project was to design an instructional tool and method that could help prospective teachers expand their notion of classroom management beyond a set of techniques. We collected 23 prospective teachers’ pre and postessays before and after the 3-week implementation of the web-based case instruction, along with surveys and a focus group interview data. The initial data analysis results indicated that this instructional method was effective for (a) promoting prospective teachers’ awareness of multiple perspectives, (b) encouraging them to explore diverse ways of problem solving, and (c) articulating their justification based on a sense of moral responsibility and affective engagement. We conclude with implications for future research and early childhood teacher education.

Two-Step Approach to Partial Factorial Invariance: Selecting a Reference Variable and Identifying the Source of Noninvariance

To date, no effective empirical method has been available to identify a truly invariant reference variable (RV) in testing measurement invariance under a multiple-group confirmatory factor analysis. This study proposes a method that, in selecting an RV, uses the smallest modification index (min-mod). The method’s performance is evaluated using 2 models: (a) a full invariance model, and (b) a partial invariance model. Results indicate that for both models the min-mod successfully identifies a truly invariant RV (Study 1). In Study 2, we use the RV found in Study 1 to further evaluate the performance of item-by-item Wald tests at locating a noninvariant variable. The results indicate that Wald tests overall performed better with an RV selected in a partial invariance model than an RV selected in a full invariance model, although in certain conditions their performances were rather similar. Implications and limitations of the study are also discussed.     

Teacher–Child Interactions and the Development of Executive Function in Preschool-Age Children Attending Head Start

Research Findings: The purpose of this study was to examine the potential contribution of teacher–child interactions to residualized Inhibitory Control (IC) gains over approximately a six-month period for preschoolers from predominantly low-income households. The study also explored whether the association between quality of teacher–child interactions and IC gains depends on children’s IC skills upon classroom entry and their household income-to-needs ratio. The study included 169 preschoolers from 51 classrooms in a Head Start program run by an agency in a large city in Oklahoma. Children’s IC skills were assessed in fall (time 1) and spring (time 2), and teacher–child interaction quality was observed at fall (i.e., September through November). Results from Hierarchical Linear Modeling (HLM) did not show significant effects of high-quality teacher–child interactions on residualized IC gains over six months. However, results showed that children who initially presented poor IC skills displayed higher gains in their IC skills at spring when they were in classrooms practicing high-quality teacher–child interactions, as defined by emotional support and classroom organization. Practice or Policy: Emotionally supportive and well-organized classrooms in Head Start programs may benefit early IC development, especially for children presenting poor IC skills at classroom entry.     

An attempt to elucidate notions of lifelong learning:<Emphasis Type="Italic">analects</Emphasis>- based analysis of confucius’ ideas about learning

This study attempts to examine Confucius’ ideas about learning and seeks also to elucidate notions of lifelong learning. The examination will be focused on Confucius’ ideas concerning learning as revealed in the Analects. Confucius’ notion of learning offers an alternative perspective to overcome the idea of competition-directed lifelong learning. According to Confucius, learners should be oriented to learn for the sake of the “self” not “others.” Confucius’ notion of “self-realizing” learning holds that the self, being a part of interdependent relationships with others in society, attempts to utilize reflective learning to realize a unity of self and the society. However, if learners are oriented to learn ‘for the sake of others, ’ their learning efforts are rooted in selfishness-based competition, which threatens the interdependent nature of the human world. Confucius’ perspective of learning makes it clear that learning should be directed toward attaining a unity of self and the world. This unity is possible when a learner makes the effort of will to sincerely learn for the sake of the self and learns to attain an insightful understanding about interdependent life.     

The relationship between students ’ perceptions of classroom environment and their academic achievement in Korea

The classroom has long been recognized as a critical milieu for students ’ educational achievement. The purpose of this study was to investigate the relationship between students ’ perceptions of classroom environment and their academic achievement in Korea. For this study, the Classroom Environment Scale (CES), developed by Moos and Trickett (1987), was revised and translated into Korean. The Korean Classroom Environment Scale (KCES), consisting of nine subscales, was used to measure the psychosocial characteristics of the classroom environment. The data was collected from May to June 2001 from a sample of 1,012 students in 10th and 11th grades at the same school district in Seoul, Korea. The results of ANOVA analysis of the data revealed that there were statistically significant differences in classroom environments according to students ’ school and classroom organizations. Additionally, the results of Pearson ’s simple correlation coefficient analysis showed that the seven subscales in the KCES (i.e., involvement, affiliation, competition, task orientation, order and organization, rule clarity, and teacher control) had a significant correlation with students ’ academic achievement. Furthermore, the results of multiple regression analysis revealed that the multiple correlation (R) between the KCES 9 subscales and students ’ academic achievement was 0.27. Based on these results, it was claimed that classroom environment was a good predictor of students ’ academic achievement.     

The romance and the reality between pre-service teachers’ beliefs about the potential benefits of a short-term study abroad programme and their practices

This qualitative study aimed to explore Hong Kong pre-service teachers’ beliefs about the potential benefits of a short-term study abroad programme and their practices. Pre- and post-programme semi-structured interviews and reflective journals were employed to collect data. The findings suggest that the transformation of beliefs into practices plays a critical role in the actualization of possible learning outcomes, such as increasing the use of the target language, fostering pedagogical development, broadening cultural understanding and nurturing personal growth. The programme per se, however, does not guarantee target language enhancement in a short time. Implications for programme coordinators and future research are discussed.     

Latent variable modeling in the hierarchical modeling framework in longitudinal studies: a fully bayesian approach

This paper presents a strategy for specifying latent variable regressions in the hierarchical modeling framework (LVR-HM). This model takes advantage of the Structural Equation Modeling (SEM) approach in terms of modeling flexibility—regression among latent variables—and of the HM approach in terms of allowing for more general data structures. A fully Bayesian approach via Markov Chain Monte Carlo (MCMC) techniques is applied to the LVR-HM. Through analyzing the data from a longitudinal study of educational achievement, gender difference are explored in the growth of mathematical achievement across grade 7 through grade 10. Allowing for the fact that initial status effect to rates of change may differ for girls and boys, the LVR-HM is specified in a way that rates of change parameters are modeled as a function of initial status parameters and the interaction between initial status and gender.     

Specification Search for Identifying the Correct Mean Trajectory in Polynomial Latent Growth Models

This study investigated the optimal strategy for model specification search under the latent growth modeling (LGM) framework, specifically on searching for the correct polynomial mean or average growth model when there is no a priori hypothesized model in the absence of theory. In this simulation study, the effectiveness of different starting models on the search of the true mean growth model was investigated in terms of the mean and within-subject variance-covariance (V-C) structure model. The results showed that specifying the most complex (i.e., unstructured) within-subject V-C structure with the use of LRT, ΔAIC, and ΔBIC achieved the highest recovery rate (>85%) of the true mean trajectory. Implications of the findings and limitations are discussed.