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The purpose of this paper is to report on a process and impact evaluation of the Positief Educatief Programma (Positive Education Programme (PEP)), a whole school approach to supporting children’s well-being and creating a positive school climate in primary schools in the Netherlands. PEP adopts a competence skill enhancement approach with a focus on developing children’s positive emotions and strengths.

A process and impact evaluation was performed within the context of two schools piloting the programme. Employing questionnaires and interviews, the evaluation sought to examine the implementation of PEP, participants’ experiences with key components and the programme impact of PEP.

The findings reveal largely positive attitudes towards PEP. Staff and parents were positive about the core components of PEP. Results from standardised questionnaires provide preliminary evidence about the positive impact of PEP on children’s self-reported well-being and problem behaviour, teachers’ awareness of children’s strengths and overall school climate. The provision of practical strategies and activity-based resources was considered essential to the ongoing implementation of PEP.

This study reports on findings from two implementation schools and therefore lacks generalisability. Further research using more robust research methods exploring the effectiveness of PEP when compared with “business as usual” is needed.

School frameworks aimed at creating a positive school climate and promoting well-being at the whole school level have not been carried out in the Netherlands to date. The results from this study provide a unique insight into the implementation and perceived impact of a whole school framework in the context of two primary schools.

This study aims to explore the effects of an alternative learning environment, such as the video game making (VGM) within science content, on computational thinking (CT) skills development and student performance.

A didactic intervention was performed for five weeks. Two student groups were taught the same computational concepts in two ways. One group was taught by constructing a video game within science content to practice science and computing curriculum while the other group constructed appropriately designed projects to practice only the computing curriculum. Additionally, the students constructed a pretest project before the beginning of the intervention and a post-test project after its end. Results were based on quantitative and qualitative code analysis and interviews from the students.

VGM within science content resulted in projects with more CT skills and also supported students to effectively apply their acquired coding skills, after the end of the intervention.

The results of this study suggest an interdisciplinary environment, such as the VGM within science content, which can effectively support CT skills development and computing curriculum.

Although VGM has been successfully applied to teach science content, this study explored the potential influence of this learning environment on CT skills development and coding fluency. Such interdisciplinary educational environments could be applied in the typical school settings to promote a plethora of skills and academic contents.

The purpose of this paper is to examine the house market in Malaysia from 2002 to 2015. Specifically, the macroeconomic determinants on the house price and house demand are investigated.

Structural Vector Autoregressive Regression was adopted to estimate the unexpected changes in both house demand (residential transaction volume) and prices based on economic theoretical reasoning that consider shock from macroeconomic determinants.

The transaction volume and real house prices respond to most of the macroeconomic shocks. While the impact of real gross domestic product (GDP) on house prices appears to be stronger and longer in comparison to other macroeconomic shocks, a 60 per cent change in house prices can be explained by real GDP regardless of whether it is in the short run or the long run. The studies also reveal that a positive effective exchange rate plays an important role when demonstrating the transaction volume. Moreover, monetary liquidity plays a major role in justifying the transaction volume. This implies that mortgage lending may have an impact on housing demand. Meanwhile, movements of house prices cannot be explained by the demand in quantity. This signifies that supply has a strong influence in determining the price.

This study has implications on policymakers of which the interest rate as a cooling measure might not be effective in the short run. The interest rate has very little impact on housing prices. Furthermore, policymakers should address the concerns on speculations, as the results reveal that monetary liquidity and the exchange rate have a strong impact on the housing demand.

This study seeks to provide answers regarding the recent upsurge of Malaysian housing prices. Besides focusing on the house price changes, this study addresses the role of transaction volume while evaluating the house market, as housing prices are usually downwards rigid. Since the price and transaction volume are both related to the transaction activity, this study is significant and could be a good reflection on the actual demand behaviour in the residential market.

The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to examine whether media richness (MR), human-system interaction (HSI) and human-human interaction (HHI) as technological feature antecedents to medical professionals’ learning engagement (LE) can affect their learning persistence (LP) in massive open online courses (MOOCs).

Sample data for this study were collected from medical professionals at six university-/medical university-affiliated hospitals in Taiwan. A total of 600 questionnaires were distributed, and 309 (51.5%) usable questionnaires were analyzed using structural equation modeling in this study.

This study certified that medical professionals’ perceived MR, HSI and HHI in MOOCs positively affected their emotional LE, cognitive LE and social LE elicited by MOOCs, which together explained their LP in MOOCs. The results support all proposed hypotheses and the research model accounts for 84.1% of the variance in medical professionals’ LP in MOOCs.

This study uses the S-O-R model as a theoretical base to construct medical professionals’ LP in MOOCs as a series of the psychological process, which is affected by MR and interaction (i.e. HSI and HHI). Noteworthily, three psychological constructs, emotional LE, cognitive LE and social LE, are adopted to represent medical professionals’ organisms of MOOCs adoption. To date, hedonic/utilitarian concepts are more commonly adopted as organisms in prior studies using the S-O-R model and psychological constructs have received lesser attention. Hence, this study enriches the S-O-R model into an invaluable context, and this study’s contribution on the application of capturing psychological constructs for completely explaining three types of technological features as external stimuli to medical professionals’ LP in MOOCs is well-documented.

The intelligent agent object (IAO) system is a multi‐paradigm development environment which can be used to create intelligent agent systems for manufacturing or other domains. The IAO system was developed from the rule‐based object (RBO) system which is a programming environment integrating both the rule‐based and object‐oriented paradigms. Propagation‐oriented programming, access‐oriented programming and group‐oriented programming are among the extensions included in the IAO system. Its most unusual contribution is the propagation‐oriented programming paradigm which is not found in most systems. A key application is the messenger inferencing structure which is a user‐extendable framework supporting multiple knowledge representation, meta‐inference control, and distributed inference. This allows the IAO system to go beyond predicate logic based production rule programming. New developments are also introduced for access‐oriented programming. The IAO system can be used to develop integrated manufacturing systems such as the prototype automated guided vehicle planning and control system, which is briefly described.