Cracking the Code—An Approach to Developing Professional Writing Skills

The development of writing skills sufficient to meet the complexities of contemporary social work practice is a growing demand from employers and practice educators. The paper explores current pedagogical debate relating to student support and the development of writing skills and relates this debate to meeting the needs of social work students engaged in practice learning and professional practice. A number of questions are raised about current social work education in England and the needs of students entering from non-traditional academic backgrounds facing the increasingly rigorous demands of professional report writing. The discussion is then grounded in a practice example of staff from a university social work course and education guidance service working together to meet student need in respect of developing writing skills. The development, implementation and evaluation of a university writing skills programme for social work students are explored. The paper concludes by setting out a range of challenges arising from experience of the programme and a consideration of theory, and points to potential ways forward based on a social practice approach to teaching writing skills.     

立体赋权：农村留守儿童社会支持网络的建构

随着城市化进程的加快,农村剩余劳动力大量涌入城市,产生了留守儿童这一新的群体,其社会支持问题El益突出,引起社会各界广泛的关注。厦门“凤凰花助飞体验营”服务项目借助增权视角社会工作理论,在实践中探索出建构留守儿童社会支持网络的路径：增强个体自我效能感,提升建构支持的内在能力;集体中参与,多中心地构建近距离的社会支持;倡导创造建构社会支持网络的良好社会与制度环境。     

青少年学业压力、父母支持与精神健康

追求学业上的成就,并由此实现社会流动、赢得尊敬和家庭的荣耀是中国文化的传统。但对教育成就的重视也导致儿童承受很大的压力,引发心理和身体的疾病。对上海685名学生学业压力与精神健康的调查证实,学业压力是加剧学生焦虑的风险因素,而父母的情感支持是促进儿童精神健康的保护性因素。因此促进父母对儿童的学习参与是重要的,但要注意时机,动态了解儿童的学习压力状况并提供及时的情感支持,这样有助于儿童的精神健康。     

A KNOWLEDGE-BASED DSS FOR MANAGERIAL PROBLEM DIAGNOSIS

A knowledge-based system supporting managerial problem diagnosis is described. The system provides the capability to monitor values of selected variables for problem situations. When problems are located, a list of problem symptoms is delivered to a problem processor for structuring and diagnosis. Problem structuring is based on a combination of concepts from expert systems and structural modeling. User assertions about cause-effect relationships between pairs of variables are maintained in a semantic network. Problem diagnosis uses the relationships in the semantic network to construct causation trees, the branches of which represent potential explanations of the problem symptoms. Mathematical models are constructed based on causation-tree branches, and values from the data base are used to test whether the model confirms the diagnosis. If so, the source of the problem has been located and it is then up to the user to resolve the problem. If the model fails to explain the problem, the model apparently is deficient and the user may perform “what if…” type scenarios in attempts to improve the model and search for problem causes. Realistic applications in the accounting and health care areas are discussed.     

Applications and Implementation DECISION SUPPORT SYSTEMS: AN EMPIRICAL ASSESSMENT FOR DECISION MAKING

A laboratory experiment examined the effects of applying decision support system (DSS) technology to decision making in ill-structured problem environments under varying information conditions. Marketing executives participated in the experiment which investigated the effects of DSS availability, DSS training, and data availability on dependent variables that included: (1) the number of alternatives considered by a subject during decision making, (2) the period of time spent by a subject to complete the decision-making process, (3) the subject's perceived confidence in the decisions he or she had made, (4) the amount of data considered by a subject's during decision making, (5) the individual subject's decision processing, and (6) the subject's performance overall. Our results indicate that all three factors significantly affect the number of alternatives considered by subjects during the decision-making process. We therefore suggest that DSS training be coordinated with decision training in order to realize the potential of DSSs as described in the DSS literature.     

AN EMPIRICAL ASSESSMENT OF COMPUTER-ASSISTED DECISION ANALYSIS*

Decision analysis tools often are used in semistructured and ill-structured situations. While some researchers have argued that computerized decision analysis programs may improve decision quality in such situations, research support for this assertion is weak. In this laboratory study, business students used a computerized decision-analysis program with short strategic-management cases to prepare decision reports. Independent raters' perceptions of aided and unaided decision performance were contrasted, attitudes of students toward the program were assessed, individual differences were correlated with attitudes, and the program's impact on students' perceptions of their decision processes and performance was examined. Student attitudes toward the computerized aid were favorable, and individual differences in reactions generally were as predicted. However, the program did not improve the independent ratings of students' decision reports and recommendations. These findings suggest that computerized decision aids should be adopted cautiously. If such aids result in positive user affect and heightened decision confidence without corresponding improvements in decision quality, they may be dysfunctional. Rigorous research methodologies which incorporate independent evaluations of analyses and decisions are recommended for use in future research on computerized decision-analysis programs.     

A hybrid ARIMA and support vector machines model in stock price forecasting

Traditionally, the autoregressive integrated moving average (ARIMA) model has been one of the most widely used linear models in time series forecasting. However, the ARIMA model cannot easily capture the nonlinear patterns. Support vector machines (SVMs), a novel neural network technique, have been successfully applied in solving nonlinear regression estimation problems. Therefore, this investigation proposes a hybrid methodology that exploits the unique strength of the ARIMA model and the SVMs model in forecasting stock prices problems. Real data sets of stock prices were used to examine the forecasting accuracy of the proposed model. The results of computational tests are very promising.     

Decision Support by Interval SMART/SWING—Incorporating Imprecision in the SMART and SWING Methods

Interval judgments are a way of handling preferential and informational imprecision in multicriteria decision analysis (MCDA). In this article, we study the use of intervals in the simple multiattribute rating technique (SMART) and SWING weighting methods. We generalize the methods by allowing the reference attribute to be any attribute, not just the most or the least important one, and by allowing the decision maker to reply with intervals to the weight ratio questions to account for his/her judgmental imprecision. We also study the practical and procedural implications of using imprecision intervals in these methods. These include, for example, how to select the reference attribute to identify as many dominated alternatives as possible. Based on the results of a simulation study, we suggest guidelines for how to carry out the weighting process in practice. Computer support can be used to make the process visual and interactive. We describe the WINPRE software for interval SMART/SWING, preference assessment by imprecise ratio statements (PAIRS), and preference programming. The use of interval SMART/SWING is illustrated by a job selection example.     

Are they lonely at the top? Social relationships and social support among Australian managers

This research tested the possibility that managers may be lonely at the top. A total of 572 Australian managers responded to a questionnaire-based survey. Results showed that social support was more frequently available from non-work relationships than from work relationships. The support available from work and non-work sources was also qualitatively different. Workplace relationships offered mainly distraction, whereas non-work sources also offered care, acceptance, and consolation. Within the workplace, co-workers were the primary source of support. Moreover, support for work stressors was received from within the workplace, or from a spouse or partner. However, support was seldom received from within the workplace for non-work stressors. Concerns about social relationships also contributed to most of the nominated stressful situations.     

Evaluation of Embedded Intelligent Real‐time Systems*

Over the past two decades, questions have surfaced about the effectiveness and contribution of intelligent systems to decision makers in a variety of settings. This paper focuses on the evaluation challenges associated with intelligent real‐time software systems that are embedded in larger host systems. With the proliferation of such systems in operational settings such as aerospace, medical, manufacturing, and transportation systems, increased attention to evaluations of such systems, and to resulting software safety, is warranted. This paper describes one such evaluation and proposes a set of evaluation criteria for embedded intelligent real‐time systems (EIRTS). Implications of the evaluation and the evaluation criteria are discussed.