Analysing the integration of engineering in science lessons with the Engineering-Infused Lesson Rubric

ABSTRACT

Science teachers are being called on to incorporate engineering practices into their classrooms. This study explores whether the Engineering-Infused Lesson Rubric, a new rubric designed to target best practices in engineering education, could be used to evaluate the extent to which engineering is infused into online science lessons. Eighty lessons were selected at random from three online repositories, and coded with the rubric. Overall results documented the strengths of existing lessons, as well as many components that teachers might strengthen. In addition, a subset of characteristics was found to distinguish lessons with the highest level of engineering infusion. Findings are discussed in relation to the potential of the rubric to help teachers use research evidence-informed practice generally, and in relation to the new content demands of the U.S. Next Generation Science Standards, in particular.     

Conceptual change with refutational maps

ABSTRACT

This study investigated how studying a refutational map, a type of argument map, affected conceptual change. Refutational maps visually display both correct and alternative conceptions. Participants (N?=?120) were randomly assigned to (1) a refutational map condition, (2) a refutational text condition, and (3) a non-refutational text condition. The post-test results showed that studying the refutational map led to better performance on free recall and learning transfer measures. Specifically, participants who studied the refutational map performed significantly better than others on a free recall test, and they significantly outperformed the non-refutational text group on a short-answer transfer test. The multiple-choice test, another transfer measure, failed to detect any differences among the three groups. The research also found that individual differences in need for cognition and logical thinking ability interacted with the type of study materials. Participants scoring lower on logical thinking ability gained more from studying the refutational map.     

Comparisons of Four Methods for Estimating a Dynamic Factor Model

Four methods for estimating a dynamic factor model, the direct autoregressive factor score (DAFS) model, are evaluated and compared. The first method estimates the DAFS model using a Kalman filter algorithm based on its state space model representation. The second one employs the maximum likelihood estimation method based on the construction of a block-Toeplitz covariance matrix in the structural equation modeling framework. The third method is built in the Bayesian framework and implemented using Gibbs sampling. The fourth is the least squares method, which also employs the block-Toeplitz matrix. All 4 methods are implemented in currently available software. The simulation study shows that all 4 methods reach appropriate parameter estimates with comparable precision. Differences among the 4 estimation methods and related software are discussed.     

Evaluation of a New Mean Scaled and Moment Adjusted Test Statistic for SEM

Recently a new mean scaled and skewness adjusted test statistic was developed for evaluating structural equation models in small samples and with potentially nonnormal data, but this statistic has received only limited evaluation. The performance of this statistic is compared to normal theory maximum likelihood and 2 well-known robust test statistics. A modification to the Satorra–Bentler scaled statistic is developed for the condition that sample size is smaller than degrees of freedom. The behavior of the 4 test statistics is evaluated with a Monte Carlo confirmatory factor analysis study that varies 7 sample sizes and 3 distributional conditions obtained using Headrick's fifth-order transformation to nonnormality. The new statistic performs badly in most conditions except under the normal distribution. The goodness-of-fit χ² test based on maximum-likelihood estimation performed well under normal distributions as well as under a condition of asymptotic robustness. The Satorra–Bentler scaled test statistic performed best overall, whereas the mean scaled and variance adjusted test statistic outperformed the others at small and moderate sample sizes under certain distributional conditions.     

Vocabulary Is Important for Some,but Not All Reading Skills

Although there is evidence for a close link between the development of oral vocabulary and reading comprehension, less clear is whether oral vocabulary skills relate to the development of word-level reading skills. This study investigated vocabulary and literacy in 81 children aged 8 to 10 years. In regression analyses, vocabulary accounted for unique variance in exception word reading and reading comprehension, but not text reading accuracy, decoding, or regular word reading. Consistent with these data, children with poor reading comprehension exhibited oral vocabulary weaknesses and read fewer exception words correctly. These findings demonstrate that oral vocabulary is associated with some, but not all, reading skills. Results are discussed in terms of current models of reading development.     

The Role of Set for Variability in Irregular Word Reading: Word and Child Predictors in Typically Developing Readers and Students At-Risk for Reading Disabilities

ABSTRACT

In a quasiregular orthography like English, children inevitably encounter irregular words during reading. Previous research suggests successful reading of an irregular word depends at least partially on a child’s ability to address the mismatch between decoded form and stored word pronunciation, referred to as a child’s set for variability, and the word’s relative transparency, measured here using a spelling to pronunciation transparency rating. Item-level analyses were used to explore the relationship between general child performance on the set for variability mispronunciation task, word specific set for variability (predicting reading of that word), spelling to pronunciation transparency rating, and irregular word reading. Significant predictors included general word reading, general set for variability performance, and item-specific set for variability performance; word frequency and spelling to pronunciation transparency rating; and an interaction between word reading and the transparency rating. Results underscore the importance of considering both general and item-specific factors affecting irregular word reading.     

Becoming individual in education and cyberspace

This article traces key competences that are necessary to master as teachers are increasingly obliged to orchestrate learning as initiation into individual autonomy. The context is one that acknowledges that learning increasingly dissipates out into cyberspace.Inspired by Gilles Deleuze and Michel Foucault, the article explores preconditions for professionalizing the teacher using project work as a generalized case. Project work claims to anticipate initiation into autonomy and reflects new power relations between professionals and clients as well. It is assumed that project work illustrates the transition from traditional school forms to a more individualized society where Information and Communication Technologies media (ICT) are increasingly integrated in learning. It is likewise assumed that the procedures and rules governing project work—as a way of shaping the image of oneself as an individual—correspond in ambivalent ways to competences that one must master in order to navigate as an up‐to‐date employee, citizen, and parent, and so on.     

Reflection on their first five years of teaching: understanding staying and impact power

Teacher turnover in urban schools is occurring at a breakneck pace; thus, it is important for us to understand the characteristics of teachers who stay and succeed in these settings. In order to address this need, this study examines the preparation and induction experiences of teachers who completed a Transition to Teaching – a funded urban apprenticeship program. Three research questions guided the study: (1) How do participants describe the characteristics that influence their five-year retention? (2) How do participants describe their success as teachers? and (3) How do participants describe the professional support they received in their preparation program and during the subsequent four years after completing the program? Quantitative and qualitative data via interviews, focus group, and an examination of teachers’ district performance scores were utilized, as a means of understanding teachers’ staying and impact power. Staying power refers to the ability to endure or last within challenging contexts by possessing strength enough to persevere. Impact power refers to their ability to influence student learning. Four assertions describe the factors influencing developing teachers who stay and have impact as they teach in challenging urban schools, suggesting that these teachers possess a strong work ethic, seek specific resources to improve pedagogy, have the knowledge and skills necessary to differentiate instruction, and seek teacher leadership opportunities in their schools. This study suggests several implications for teacher educators, educational leaders, administrators, and researchers working with new teachers in urban schools or with populations that are predominantly children of color.     

Australian academics’ perspectives on quality and accountability

Abstract

Universities have been challenged as teaching as well as research institutions. On the one hand, universities have been required to teach more students and pay more attention to quality of teaching and educational programmes; on the other hand, there has been increasing focus on faculty research performance. This paper examines whether these are conflicting demands, or whether university faculty are able to fulfil these requirements simultaneously. In Norway, the number of university students almost doubled between 1987 and 1995. Norway is, therefore, a sound case to examine the impact of massification on university research.