Development and Validation of Professional Development Resource Materials for Teachers Cbvering Commwnicathg and Interpreting Assessment Results

How were the materials tested? How did the reactions of teachers compare to those of measurement students? How can these materials be used effectively?     

Academic departments as networks of informal learning: faculty development at liberal arts colleges

In this article, we consider the role of departmental contexts and relationships in faculty work within liberal arts colleges. Knowledge about how departmental networks relate to success and satisfaction may inform the work of those who support faculty work in liberal arts colleges, as well as other institution types. Analysis of quantitative and qualitative survey data from faculty members at 13 liberal arts colleges in the US suggests that informal departmental relationships influence faculty experiences. Findings suggest that departmental leaders and colleagues are sources of professional development and support, but that counter-productive behaviours interfere with such support and foster negative workplace cultures.     

A Shift to Inquiry: The Heart of Effective Teaching and Professional Development for the Twenty-First Century

This article explores how an experienced teacher navigates the demands of curriculum to implement her inquiry-centered teaching and learning philosophy, and how administrators along the way supported her during this change. Interviews with this classroom teacher surface suggestions for twenty-first-century professional development and support, including the development of equitable, intellectual, and trusting relationships between teachers and administrators, attitudes of curiosity and availability on the part of administrators, and the use of documentation to provide evidence and visibility of meaningful teaching and learning. This article invites teachers interested in change and administrators committed to supporting competent teachers to consider the strategies proposed.     

A comparison of men's and women's strength to body mass ratio and varus/valgus knee angle during jump landings

The purpose of this investigation was to compare valgus/varus knee angles during various jumps and lower body strength between males and females relative to body mass. Seventeen recreationally active females (age: 21.94 ± 2.59 years; height: 1.67 ± 0.05 m; mass: 64.42 ± 8.39 kg; percent body fat: 26.89 ± 6.26%; squat one-repetition maximum: 66.18 ± 19.47 kg; squat to body mass ratio: 1.03 ± 0.28) and 13 recreationally active males (age: 21.69 ± 1.65 years; height: 1.77 ± 0.07 m; mass: 72.39 ± 9.23 kg; percent body fat: 13.15 ± 5.18%; squat one-repetition maximum: 115.77 ± 30.40 kg; squat to body mass ratio: 1.59 ± 0.31) performed a one-repetition maximum in the squat and three of each of the following jumps: countermovement jump, 30 cm drop jump, 45 cm drop jump, and 60 cm drop jump. Knee angles were analysed using videography and body composition was analysed by dual-energy X-ray absorptiometry to allow for squat to body mass ratio and squat to fat free mass ratio to be calculated. Significant differences (P ≤ 0.05) were found between male and female one-repetition maximum, male and female squat to body mass ratio, and male and female squat to fat free mass ratio. Significant differences were found between male and female varus/valgus knee positions during maximum flexion of the right and left leg in the countermovement jump, drop jump from 30 cm, drop jump from 45 cm, and drop jump from 60 cm. Correlations between varus/valgus knee angles and squat to body mass ratio for all jumps displayed moderate, non-significant relationships (countermovement jump: r = 0.445; drop jump from 30 cm: r = 0.448; drop jump from 45 cm: r = 0.449; drop jump from 60 cm: r = 0.439). In conclusion, males and females have significantly different lower body strength and varus/valgus knee position when landing from jumps.     

Adults who learn differently: Help through a volunteer literacy program

In adult literacy programs today, well-intentioned but inadequately prepared volunteer tutors are being matched with learning disabled adult students without the benefit of receiving training from experts in the field of language/learning disabilities. The collaboration of adult literacy providers and learning specialists is obviously the most resourceful, yet most untried, solution to a problem that is plaguing volunteer-based programs across the country: meeting the needs of learning disabled adults. One adult literacy program—READ/San Diego of the San Diego Public Library—recognized that its volunteer tutors needed training in special instructional methods to teach adults who evidence learning disabilities. Accordingly, the program’s administrator obtained the services of specialists to develop a learning disabilities tutor-training module. This article (1) presents an overview of preservice volunteer training at READ/San Diego; (2) discusses informal assessment procedures that help identify possible language/learning disabilities in adults and provide valuable information for instructional planning; and (3) describes selected multisensory teaching techniques designed especially for adults who “learn differently.”     

Towards adaptive open learning environments: Evaluating the precision of identifying learning styles by tracking learners’ behaviours

Open learning represents a new form of online learning where courses are provided freely online for large numbers of learners. MOOCs are examples of this form of learning. The authors see an opportunity for personalising open learning environments by adapting to learners’ learning styles and providing adaptive support to meet individual learner needs and preferences. Identifying learning styles of learners in open learning environments is crucial to providing adaptive support. Learning styles refer to the manner in which learners receive and perceive information. In the literature, a number of learning style models have been proposed. The Felder and Silverman Learning Styles Model (FSLSM) has been selected as the most appropriate model for open learning. In previous studies two approaches have been used to automatically identify learning styles based on the FSLSM. These approaches are known as the data-driven method and the literature-based method. In the literature, the literature-based method has been shown to be more accurate in identifying learning styles. This method relies on tracking learners’ interactions with the provided learning objects based on a set of pre-determined patterns that help in inferring learning styles. The patterns are monitored based on pre-identified threshold values. This paper aims to apply the literature-based method to open learning environments and introduce the optimal patterns and threshold values for identifying learning styles based on the FSLSM. To achieve this aim, a study was conducted whereby a prototype that simulates the open learning environment was developed and piloted on an undergraduate IT course so that learner behaviour could be tracked and data could be collected. Next, different sets of threshold values from the literature were considered along with some updated threshold values considering the context of open learning environments, and the precision of identifying learning styles was calculated. Eighty-three students participated in the study and used the developed prototype. Precision results from different threshold values presented in the literature along with customised threshold values for this study are reported and analysed in this paper. It is shown that threshold values derived from literature and customised to suit open learning environments provide a high level of accuracy in identifying learning styles. The paper presents the first study of its kind in evaluating threshold values and precision in identifying learning styles based on the FSLSM in open learning environments. The results are promising and indicate that the proposed methodology is efficient in detecting learning styles in open learning environments and useful for developing an adaptive framework.