Search results

In this article, the branching structure of hypermedia is addressed for the purpose of accommodating individual learning differences. Learning from the learner’s perspective is discussed. Future research directions in hypermedia learning are suggested.

The purpose of this paper is to explore the relationship between multivariate process capability indices and loss functions for both nominal‐the‐best and smaller‐the‐better cases, so the likelihood and consequences resulting from the nonconforming of a manufacturing process or an environmental system can be evaluated simultaneously.

In this paper, the authors present a new approach of correlated risk assessment by linking the multiple process capability indices and loss functions, in which the multivariate process capability indices and multivariate loss functions describe the likelihood and consequences as a result of nonconformities in multivariate manufacturing or environmental system, respectively. Then, the associated relationship equations are developed using multivariate methods. Moreover, a step‐by‐step procedure is provided to facilitate the implementation of the correlated risk assessment.

Given the multivariate process capability indices, the authors show that the expected loss can be estimated by developed relationship equations and two numerical examples are also given, to demonstrate how the correlated manufacturing and environmental risks can be properly assessed by linking the multivariate process capability indices and multivariate loss function.

The risk information of likelihood and expected loss, classified in the four planning zones of a strategic planning matrix, provides practising managers and engineers with a decision‐making tool for prioritizing their quality improvement projects when conducting risk assessment for any multivariate process or environmental system.

Once the existing quality/environmental problems and their Key Performance Indicators are identified, one may conduct risk assessment by applying the relationship equations to evaluate the impact of correlated risk on manufacturing processes or multiple environmental emissions inside company; this can lead to the direction of continuous improvement for any industry.

Students’ branching behaviours and how these behaviours relate to learner variables, such as prior knowledge, and demographic variables, were examined. Fourteen subjects were asked to learn a hypermedia instructional director system, MAPLE (Multimedia Authoring and Production Learning Environment). The results showed students differ in their branching behaviours and learning characteristics: individual differences in branching behaviour patterns were related to prior domain knowledge of director. High prior knowledge students tended to employ the branching behaviour pattern, moving linearly; low prior knowledge students tended to employ branching behaviour pattern, moving forward and backward; medium prior knowledge students tended to employ branching behaviour pattern, skipping sub‐sections. Other prior knowledge variables, and learner variables were unrelated to students’ branching behaviour patterns.

The importance of critical thinking disposition (CTD) in second language (L2) university students' writing is a topic rarely discussed. The purpose of this research paper is to examine L2 university students' CTD during the writing process. Research questions discussed in this paper encompass the CT dispositions and characteristics of L2 university students in online writing environments. Measuring CTD and CTD training via online collaborative peer review were the two grounding themes of this study.

A five‐point Likert scale online questionnaire which included two open‐ended questions was developed to assess CTD. A factor analysis and a cluster analysis were preformed on the data. A discriminate analysis determined the number of viable clusters and a one‐way ANOVA was performed to compare differences, with qualitative interview data to supplement. The data set for CTD measurement was a matrix consisting of 27 participants and P variables.

The findings reveal that the CTD characteristics of L2s include open‐mindedness, systematicity and inquisitiveness, and low interaction/motivation.

Limitations include a small sample size that mimics the researcher's anticipations, but the findings would be strengthened by a larger sample. A lack of sensitivity and generalisability could be corrected in the future by using broader subject matter within an online educational web site.

Knowledge of the CTD characteristics of L2s would allow interface designers to take into account different CTDs in developing L2 online collaborative educational web sites. This study outlines the first step in developing online collaborative educational games that allow L2 university students to improve their writing abilities by considering various CTDs.

This systematic review (SR) aims to investigate plate waste quantity, determinant factors, and food waste costs in Indonesian hospitals.

This SR was conducted by searching for articles published on the Web of Science, PubMed, Emerald insight, ScienceDirect and hand-searching on nationally accredited journals in Indonesia which consist of 29 journals in nutrition, environment and public health. The inclusion criteria in this review were peer-reviewed articles, original research, research locations in hospitals in Indonesia and articles in English or Bahasa (Indonesian language).

There were 21 studies (17 observational studies and 4 experimental studies) included in this systematic review. Results from 17 observational studies showed that the median plate waste was 27.6% (14.8%–88.7%). High plate waste was found in this review, particularly in pediatric patients and patients who receive liquid diet orally. Staple food and vegetables have a high contribution to patients’ plate waste. Economic costs of plate waste were $0.07–$0.5 per capita per day. Determinant factors of patient’s plate waste were patient clinical conditions, food taste and environmental conditions of hospital food service. Results from four experimental studies showed that meal replacement and smaller food portion intervention could reduce significant plate waste. Nevertheless, there is no conclusive evidence for food waste reduction intervention because of small intervention studies in Indonesia.

There was a high disparity in the quantity of plate waste and economic costs between studies included in this review.

Improving food sensory and adjusting food portions particularly for staple food and vegetables can be done as a way to reduce patient’s plate waste.

This SR is the first review of Indonesian hospital plate waste.

This paper aims to investigate the pattern of dependence between crude oil price and energy consumption of the most important economic sectors in the USA, over different time periods, using monthly data set from January 1986 to July 2014 and a comparative study between linear correlation versus copula correlation as a measure of dependence over the single scale and the multiscale analysis.

The proposed method is based on the multiresolution analysis which gives more extensive and detailed description of the dependence price-consumption pattern over different periods of time.

The empirical results show that the dependence between variables is strongly sensitive to the time varying and generally increasing with time scale. In particular, the Pearson coefficients are less than the dependence copula measures. The single-scale analysis covers many time-varying dependences which are made clear, flexible and comprehensive by the description given by the multiscale approach. It explains better the structure of relationships between variables and helps understand the variations and improve forecasts of the crude oil price and energy consumption over different time scales.

The proposed methodology offers the opportunity to construct dynamic management strategies by taking into account the multiscale nature of crude oil price and consumption relationship. Moreover, the paper uses wavelets as a relatively new and powerful tool for statistical analysis in addition to the copula technique that allows a new understanding of variable correlation. The paper will be of interest not only for academics in the field of data dependencies analysis but also for fund managers and market investors.