Parent Teacher Education Connection: Preparing Preservice Teachers for Family Engagement

This article describes the Parent Teacher Education Curriculum, a Web-based curriculum focused on instructing teachers about best practices in family involvement and assesses its impact on the knowledge and attitudes of preservice teachers related to family involvement. Pre- and post-measures of preservice teacher candidate knowledge of and attitude toward parent involvement were analyzed using multivariate analysis of variance (MANOVA) and paired-samples t-tests. Findings revealed a significant multivariate main effect for the time of knowledge assessment administration (pre vs. post): Wilks' λ = .613, F(6, 449) = 47.308, p < .001, partial eta squared = .387. This suggested that overall Knowledge increased significantly from pre- to post-administration. In addition, multivariate analysis for the time of attitude assessment administration (pre vs. post) was Wilks' λ = .982, F(3, 1548) = 9.65, p <. 001, partial eta squared = .018. This suggested that overall Attitude increased significantly from pre- to post-administration.     

A Project‐Based Approach to Executive Education

Executive education (EE) has been an important part of business school offerings for nearly as long as there have been business schools. Similarly, business schools were among the first in higher education to adopt online approaches as a means for course delivery. Despite this experience, few business schools have been able to successfully integrate EE with online delivery approaches. This study suggests that a project‐based approach can achieve EE/online delivery integration. The case is first made for a project‐based approach by telling the story of our institution's journey toward a project‐based EE model. Challenges, successes, and plans for the future are then discussed.     

Model-Based Knowing: How Do Students Ground Their Understanding About Climate Systems in Agent-Based Computer Models?

This paper gives a grounded cognition account of model-based learning of complex scientific knowledge related to socio-scientific issues, such as climate change. It draws on the results from a study of high school students learning about the carbon cycle through computational agent-based models and investigates two questions: First, how do students ground their understanding about the phenomenon when they learn and solve problems with computer models? Second, what are common sources of mistakes in students’ reasoning with computer models? Results show that students ground their understanding in computer models in five ways: direct observation, straight abstraction, generalisation, conceptualisation, and extension. Students also incorporate into their reasoning their knowledge and experiences that extend beyond phenomena represented in the models, such as attitudes about unsustainable carbon emission rates, human agency, external events, and the nature of computational models. The most common difficulties of the students relate to seeing the modelled scientific phenomenon and connecting results from the observations with other experiences and understandings about the phenomenon in the outside world. An important contribution of this study is the constructed coding scheme for establishing different ways of grounding, which helps to understand some challenges that students encounter when they learn about complex phenomena with agent-based computer models.

     

Effect of Maternal Social Support on Attachment: Experimental Evidence

The present study used an experimental format to evaluate the influence of maternal social support on the development of attachment. 46 WIC primigravidas were randomly assigned to an experimental or control condition. Volunteer coaches, trained to provide maternal support and information, met with experimentals prenatally and during the first postpartum year. Experimentals and controls did not differ on demographics, ego level, verbal ability, affect, or perceived social support. At 14 months, experimental infants scored higher on an Attachment Ratings cluster from Waters and Deane's new Q-sort procedure. This cluster was more sensitive than a Criterion Sort measure in detecting the effect of the manipulation and as or more sensitive to maternal affect, perceived support, and the HOME. These findings provide experimental evidence regarding the importance of social support on infant attachment and support for an alternative approach for reducing data from the attachment Q-sort.     

School-community partnership models: implications for leadership

School–community partnerships have shown promise as an educational reform effort. In these partnerships, schools expand their traditional educational mission to include health and social services for children and families and to involve the broader community. Such partnerships have been found to enhance student learning, strengthen schools and support struggling neighbourhoods. Little is known, however, about the implications for school and community leadership in different types of partnerships. A previous review of the literature indicated four basic types of partnership, each with a different scope and purpose and different implications for leadership. Informed by interagency, leadership and social capital theories, this article describes the leadership practices that support each model and the dilemmas these partnership leaders face. The overall goal of the article is to deepen understanding of leadership in these models in order to strengthen the conditions for school–community partnership success.     

The Role of the Father in the Family

The relationships among attributional beliefs, self-perception of competence, knowledge, and reported use of learning and reading strategies and reading achievement were investigated. Subjects included 104 Grade 5, 133 Grade 7, and 101 Grade 9 students with and without learning difficulties. Results provided empirical support for a close relationship between motivation and strategic learning proposed in recent metacognitive theories. Although the motivation variables had a more important role than strategic learning in explaining achievement variance in the younger grades, strategic learning was found to mediate between the effects of motivation on reading achievement in Grade 9. Further, a pattern of learned helplessness was observed among the poor learners in the study. Implications of these findings for instruction are discussed.     

Early reading instruction for children with reading difficulties: meeting the needs of diverse learners

Several multiple-probe-across-participants design studies were employed to evaluate the effectiveness of a supplemental tutoring intervention using Read Well (Sprick, Howard, & Fidanque, 1998-2000). In Year 1, we conducted two studies with 7 first-, second-, and third-grade children (1 girl and 6 boys), who were classified as having learning disabilities, having attention-deficit disorder, or being English language learners and were identified by their teachers as poor readers. The results of the two studies indicated that 3 of the 5 children who received Read Well instruction showed improvement in passage fluency. Student performance on other measures of reading and comprehension was varied. Differences in student characteristics and in the amount of Read Well instruction received (2 to 7 weeks) seemed to account for the differences in performance. In Year 2, we implemented the same tutoring intervention for a longer duration (up to 16 weeks) and included 5 children in second and third grades (2 girls and 3 boys) with reading difficulties. Two of these children had previously participated in the Year 1 studies. The results indicated growth in reading, spelling, and comprehension for most children. Overall, the findings from Year 1 and 2 studies indicate the benefits of increased instructional intensity and duration for children who struggle with emerging reading skills.     

Managing open incremental process innovation: Absorptive Capacity and distributed learning

In this conceptual article, we extend earlier work on Open Innovation and Absorptive Capacity. We suggest that the literature on Absorptive Capacity does not place sufficient emphasis on distributed knowledge and learning or on the application of innovative knowledge. To accomplish physical transformations, organisations need specific Innovative Capacities that extend beyond knowledge management. Accessive Capacity is the ability to collect, sort and analyse knowledge from both internal and external sources. Adaptive Capacity is needed to ensure that new pieces of equipment are suitable for the organisation's own purposes even though they may have been originally developed for other uses. Integrative Capacity makes it possible for a new or modified piece of equipment to be fitted into an existing production process with a minimum of inessential and expensive adjustment elsewhere in the process. These Innovative Capacities are controlled and coordinated by Innovative Management Capacity, a higher-order dynamic capability.