Mathematics Achievement as a Function of Within- and Between-School Differences

Achievement in mathematics of eighth-grade students is modeled as a function of within-school, between-school and cross-country differences. The data were obtained from 217,728 students, within 7,216 secondary schools, in 48 countries, who participated in the 2007 Trends in International Mathematics and Science Study. Multilevel analysis showed that out of the total variance in mathematics achievement, 40.39%, 20.61%, and 38.99% were accounted for within-school, between-school-within-country, and cross-country differences, respectively. Mathematics self-concept followed by socioeconomic status was the strongest predictor of achievement at the student level. At the school level, school location yielded the strongest link to achievement, while at the country level socioeconomic status was the main predictor of national mathematics average.     

Motivational predictors of young adolescents' participation in an outdoor adventure course: A self-determination theory approach

Outdoor education is emerging as a compulsory component of the school curriculum in Singapore. As more and more young people are involved in outdoor education programmes, the motivational factors that influence students' participation in outdoor activities is an important area of study. The purpose of this study was to use the self-determination theory framework to examine post course satisfaction level among young adolescents. A total of 314 secondary school students aged from 12 to 16 years took part in the survey. Results showed that external regulation negatively predicted self-reported satisfaction whereas intrinsic motivation positively predicted participants' satisfaction levels of the course. It is highlighted that young adolescents should not be coerced into outdoor education programmes. They should be provided with a meaningful rationale for participation, given some autonomy for decision-making and to have a positive and enjoyable experience during the programme.     

Exploring pharmacy students chosen career path: a year-on-year perspective

Higher Education - There are many factors that motivate students to choose a particular academic major, whether it is due to interest, salary, or family. Government policies and...     

Overview on agent application to support collaborative learning interaction

Collaborative learning involves students working together to aid their learning and is considered an effective method to implement learning goal. However, it involves complicated processes such as have inconvenient assistance to manage the increasing demand for information and support extension of interaction and how to activate collaboration interaction and communication between different types of interactions. A collaborative learning model based on agent can improve learaing effectiveness and give good impact to learning process. This paper discusses the definition, classification and roles of agent to support collaborative learning interaction in E-learning. It overviews the rapidly use of agents to support collaborative learning and describes the types of interaction and communication tools to enhance interaction between all participants. We identify three types of major agents used in collaborative learning interaction; interface agent, information and internet agent, and collaborative agent.     

A Query Expansion Framework in Image Retrieval Domain Based on Local and Global Analysis

We present an image retrieval framework based on automatic query expansion in a concept feature space by generalizing the vector space model of information retrieval. In this framework, images are represented by vectors of weighted concepts similar to the keyword-based representation used in text retrieval. To generate the concept vocabularies, a statistical model is built by utilizing Support Vector Machine (SVM)-based classification techniques. The images are represented as "bag of concepts" that comprise perceptually and/or semantically distinguishable color and texture patches from local image regions in a multi-dimensional feature space. To explore the correlation between the concepts and overcome the assumption of feature independence in this model, we propose query expansion techniques in the image domain from a new perspective based on both local and global analysis. For the local analysis, the correlations between the concepts based on the co-occurrence pattern, and the metrical constraints based on the neighborhood proximity between the concepts in encoded images, are analyzed by considering local feedback information. We also analyze the concept similarities in the collection as a whole in the form of a similarity thesaurus and propose an efficient query expansion based on the global analysis. The experimental results on a photographic collection of natural scenes and a biomedical database of different imaging modalities demonstrate the effectiveness of the proposed framework in terms of precision and recall.     

Belonging and learning to belong in school: the implications of the hidden curriculum for indigenous students

This paper engages with current educational literature in Australia and internationally, in exploring the implications of the hidden curriculum for Indigenous students. It argues that in schools, most of the learning rules or guidelines reflect the ‘white’ dominant culture values and practices, and that it is generally those who don't have the cultural match-ups that schooling requires for success, such as Indigenous and minority students, who face the most educational disadvantage. Howard and Perry argue that Indigenous students ‘… need to feel that schools belong to them as much as any child’ and that to ‘… move towards the achievement of potential of Aboriginal students, it is important that Aboriginal culture and language are accepted in the classroom’. This paper will also provide a discussion into school-based strategies that are considered effective for engaging Indigenous students with school.     

School Effects Indices: Stability of One- and Two-Level Formulations

Three residual-based methods for indexing school effectiveness were compared using data from elementary schools in Maryland. Two of the methods were regression-based procedures at the school level, and 1 was a hierarchical linear model approach, with Level 1 at the student level and Level 2 at the school level. The 2 methods were applied to a data source in which schools were evaluated separately at Grades 3 and 5 using 3 forms of a statewide performance assessment that were administered to randomly formed groups within each school. The hierarchical linear model approach had higher stability across test forms, but the stabilities of the 1-level formulations were almost as high. The authors concluded that 1-level approaches are viable alternatives when the added data necessary for the hierarchical linear model approach are unavailable.     

Translating Knowledge into Action at the Norwegian University of Life Sciences (UMB)

Abstract

Purpose: This article explores the impacts of action learning on graduates’ abilities to use interdisciplinary knowledge to solve problems, practice teamwork on the job and become change agents through study in two MSc programmes at the Norwegian University of Life Sciences (UMB).

Design/methodology/approach: Electronic questionnaires were sent to students who had graduated from the Agroecology and Management of Natural Resources and Sustainable Agriculture (MNRSA) MSc programmes between 2000 and 2007.

Findings: Both study programmes encouraged students to become change agents promoting sustainable practices through application of knowledge and methods from natural and social sciences. Agroecology graduates applied a greater range of creative research methods, and improved their capacity for holistic and systems thinking more than MNRSA graduates, while the latter were more skilled in building consensus. Graduates from both programmes increased their abilities to create a positive team environment, bring people together to express their views and take multiple views into consideration when making decisions.

Practical implications: This survey documents how action learning develops students’ skills and knowledge to handle complex social and environmental challenges and become change agents.

Originality/value: In the context of increasing challenges in agroecology and natural resource management the findings on how to translate knowledge into action are important for teaching/learning institutions dealing with education for sustainable development.