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University students' ratings of teaching and teachers' performance are used in many parts of the world for the evaluation of faculty members at colleges and universities. Even though these ratings receive mixed reviews, there is little conclusive evidence on the role of the intervening variable of teacher and student gender in these ratings. Possible influences resulting from gender-related differences in different socio-cultural contexts, especially where gender combination in student and faculty population is not proportionate, have not been adequately investigated in previous research. This study aimed to examine Iranian university students' ratings of the professional performance of male and female university teachers and to explore the differences in male and female university students' evaluation of teachers of the same or opposite gender. The study was a questionnaire-based cross-sectional survey with a total of 800 randomly selected students in their different years of undergraduate study (307 male and 493 female students, reflecting the proportion of male and female students in the university) from different faculties at the University of Kashan, Iran. The participants rated male and female teachers’ performance in observing university regulations, relationship with colleagues, and relationships with students. The researchers used descriptive statistics, means comparison inferential statistics and focus-group interview data to analyze and compare the students’ ratings. The results of one-sample t-test, independent samples t-test, and Chi-square analyses showed that a) overall, male university teachers received significantly higher overall ratings in all areas than female teachers; b) male students rated male teachers significantly higher than female students did; and c) female students assigned a higher overall mean rating to male teachers than to female teachers but this mean difference was not significant. These results are studied in relation to the findings in the related literature and indicate that gender can be an important intervening variable in university students' evaluation of faculty members.

University students who have low knowledge, attitudes and intentions regarding the prevention of unintended pregnancies may experience higher rates of unintended pregnancies. An educational program was developed based on the self-efficacy theory and peer-led education to improve unintended pregnancy problems among university students. The purpose of this paper is to examine the effect of an educational program on knowledge, attitudes and intentions regarding the use of condoms and emergency contraceptive pills among Thai university students.

The effectiveness of the educational program was tested by a quasi-experimental study with a pre- and post-test design. The study was conducted between September and October 2017. Multistage sampling was used to recruit 73 Thai female university students, including 36 students in the intervention group and 37 students in the comparison group. The intervention group received an eight-week educational program, while the comparison group did not. A self-administered questionnaire was used to assess the improvement of knowledge, attitudes and intention regarding condom and emergency contraceptive pill use. Descriptive statistics, paired samples t-test, Wilcoxon test and Mann–Whitney tests were used for data analysis.

Most participants in both groups had sexual intercourse. After the end of the program, the before-after mean score of the intervention group’s knowledge (8.0, 11.0), attitudes (29.4, 32.4) and intention (17.4, 20.4) were significantly increased (p-value<0.001). Post-intervention, there were statistically significant differences in knowledge scores (p-value<0.001) and intention scores (p-value=0.04) between the intervention group and the comparison group.

This educational program increases knowledge and intention but does not influence attitudes toward using condoms and emergency contraceptive pills.

Clinical notes typically contain medical jargons and specialized words and phrases that are complicated and technical to most people, which is one of the most challenging obstacles in health information dissemination to consumers by healthcare providers. The authors aim to investigate how to leverage machine learning techniques to transform clinical notes of interest into understandable expressions.

The authors propose a natural language processing pipeline that is capable of extracting relevant information from long unstructured clinical notes and simplifying lexicons by replacing medical jargons and technical terms. Particularly, the authors develop an unsupervised keywords matching method to extract relevant information from clinical notes. To automatically evaluate completeness of the extracted information, the authors perform a multi-label classification task on the relevant texts. To simplify lexicons in the relevant text, the authors identify complex words using a sequence labeler and leverage transformer models to generate candidate words for substitution. The authors validate the proposed pipeline using 58,167 discharge summaries from critical care services.

The results show that the proposed pipeline can identify relevant information with high completeness and simplify complex expressions in clinical notes so that the converted notes have a high level of readability but a low degree of meaning change.

The proposed pipeline can help healthcare consumers well understand their medical information and therefore strengthen communications between healthcare providers and consumers for better care.

An innovative pipeline approach is developed to address the health literacy problem confronted by healthcare providers and consumers in the ongoing digital transformation process in the healthcare industry.

The purpose of this paper is to explore the perceived benefits of integrated reporting (IR) and factors influencing the motives that supervisory board members (SBMs) have for advocating a change towards IR implementation.

An exploratory survey study was conducted to investigate the influence of external market conditions, internal organizational conditions and observed benefits on the motivation to advocate IR adoption in companies that have not yet implemented IR. A unique set of survey data from 62 SBMs of Dutch companies was used for analysing the propositions derived from IR literature and based on institutional theory, legitimacy theory and diffusion of innovation theory.

The respondents indicated to be supportive of IR adoption. SBMs who had experienced the implementation of IR observed that IR offers benefits. Their motives for advocating a change towards IR in companies that had not implemented IR were influenced most by the observed benefits in IR companies. SBMs only involved in companies that had not adopted IR are motivated to support IR adoption to a similar extent. These findings suggest that directly observed benefits by SBMs need to exceed a considerable minimum level before these SBMs are more motived to advocate IR than their peers who have not witnessed the implementation of IR and that experiences are shared across companies. The motivation of both groups is influenced by external market conditions but not by internal organizational conditions.

The findings have implications for potential IR adopters and institutions promoting the further diffusion of IR as they emphasize the need for tangible benefits of IR and confirm that sharing good practices and benefits of IR can provide a catalyst for IR adoption. The findings contribute to the understanding of the motivation of SBMs as an important organizational condition for implementing IR as this study provides insights in the factors that drive this motivation of key actors influencing the decision to implement IR. Furthermore, the finding that these factors predominantly comprise tangible results and external market conditions is relevant from an organizational change perspective.

Understanding the mechanisms of IR-adoption decisions provides a relevant basis for deploying programmes promoting IR as a general reporting standard. This could provide society and a broad range of stakeholders with access to information incorporated in integrated reports. It could ultimately have a major impact on society by improving decision-making and increasing the long-term sustainability of organizations and their relations with stakeholders.

This study provides preliminary empirical evidence concerning the perspectives of SBMs on their motives for advocating IR, based on a unique sample from a country that has been involved with IR from its start.

Massive open online courses (MOOCs) have been gaining popularity as non-formal lifelong learning educational platforms. However, they have been criticized for their low completion rate and low ability for networking. The purpose of this paper is to analyze how incorporating entrepreneurial competencies in MOOCs develops attributes of educational innovation and collaborative projects.

The research followed a three-stage process: in first stage, a comprehensive literature review was conducted to identify dimensions of entrepreneurial skills and attributes of educational innovation in MOOCs. In the second stage, a quantitative study was carried out, based on the analysis of pre- and post-test surveys taken by a sample of 6,517 participants. In the last stage, the interaction analysis model/computer-mediated communication analysis model was applied through qualitative analysis, using the MAXQDA tool to identify if entrepreneurship opportunities were generated in the interactions within the discussion forums of the MOOCs.

The results show that the analyzed MOOCs have an overall completion rate of 12.55 per cent, above the average of the rates found in the literature review. However, only 14.29 per cent of the participants expressed at least one opportunity to generate ventures related to the topics of energy in the discussion forums.

This research could help instructional designers and universities to consider the inclusion of entrepreneurship issues in the design of MOOCs’ content and to encourage more activities that promote networking among participants, to identify business potential from the educational materials.

This research is one of the very few studies on entrepreneurship competencies in MOOCs to understand how the inclusion of issues related to entrepreneurship in MOOCs can generate a positive impact on participants.

Expanding the research on traditional history of economic ideology into the research on the history of economics composed of three elements – history of ideology, history of policies and events – is a new idea for researching the history of socialist political economy with Chinese characteristics. The start of the history of socialist political economy with Chinese characteristics is consistent with that of the Sinicization of Marxist political economy and can be dated from at least 1917.

The key point of the research on the history of ideologies of the socialist political economy with Chinese characteristics is to treat the relationship between theory and people properly, i.e. we should not neglect the effect brought out by the economists on theory construction while we attach importance to the theoretical contribution of the leaders and leading group of the Communist Party of China (CPC).

For the research on the history of economic policies of socialist political economy with Chinese characteristics, on the one hand, we should clarify the relationship among ideologies, strategies and policies; on the other hand, we should not evade the summarization of lessons from history.

Besides presenting the development route of socialist political economy with Chinese characteristics under competition, the research on the events in the history of socialist political economy with Chinese characteristics should also help develop the socialist political economy with Chinese characteristics.

Grounded in second-language acquisition (SLA) field, with a particular focus on the positive psychology (PP) theoretical perspective, this study examined the potential interplay between learning engagement (LE) and language learning strategies (LLSs), and their impact on language learning achievement of Saudi English as a foreign language (EFL) learners.

This quantitative study adopted a cross-sectional design using an online questionnaire distributed to 168 Saudi EFL college-level students in Saudi Arabia. Various statistical analyses (descriptive analyses, correlations and simple linear regression) were used.

The findings revealed that the most frequently LLSs used were metacognitive, followed by compensation, cognitive, affective, social and memory strategies. High levels of behavioral, followed by cognitive, emotional and agentic, engagement were reported. There was a significant and positive correlation between LLS and LE. LLS use and LE were significant predictors of language learning achievement.

The findings contribute to the domain of second language (L2) educational research and SLA field by emphasizing the importance of researching positive psychological factors such as engagement in relation to individual learners' learning strategies and styles to enhance learners' language learning achievement. A number of pedagogical implications for policymakers, educational stakeholders and foreign language teachers were provided.

For many pattern recognition problems, the relation between the sample vectors and the class labels are known during the data acquisition procedure. However, how to find the useful rules or knowledge hidden in the data is very important and challengeable. Rule extraction methods are very useful in mining the important and heuristic knowledge hidden in the original high-dimensional data. It can help us to construct predictive models with few attributes of the data so as to provide valuable model interpretability and less training times.

In this paper, a novel rule extraction method with the application of biclustering algorithm is proposed.

To choose the most significant biclusters from the huge number of detected biclusters, a specially modified information entropy calculation method is also provided. It will be shown that all of the important knowledge is in practice hidden in these biclusters.

The novelty of the new method lies in the detected biclusters can be conveniently translated into if-then rules. It provides an intuitively explainable and comprehensive approach to extract rules from high-dimensional data while keeping high classification accuracy.

Tourism employment is very diverse ranging from precarious, exploitative study to high-quality workplaces. However, poor employment images dominate the tourism industry, which makes attracting employees difficult. This study aims to examine the processes that lead to such image construction.

Using a qualitative methodology, the study develops a multilevel framing cycle comprising a media analysis of newspapers and magazines (macro-level), a conversation analysis of peer communication/negotiations (meso-level) and a content analysis of single employee/manager interviews (micro-level); and a comparative analysis of the macro-, meso- and micro-level findings.

The multilevel frame cycle identifies image-construction processes that pass through working conditions, payment, seasonality and human resource problems. These processes are shaped by the two cross-level dynamics of radicalization and attenuation. The latter consists of rationalized and repressed framings of tourism employment images (TEI) and the former consists of ideological and emotional framings.

Tourism stakeholders should support and participate in a pragmatic and open dialog to overcome the radicalization and attenuation of tourism employment. The key players require a new deal to end the “information warfare” on tourism employment, inaugurating a new era of collaborative and constructive employment relations.

This study develops a holistic and dynamic understanding of TEI by exploring how media products, peer groups and employees/managers jointly construct these images. It demonstrates how attenuation and radicalization shape poor employment images in tourism. It argues that these dynamics “lock in” the status-quo, create mutual recrimination between employers and employees and counteract common strategies that could otherwise improve employment structures and the image of tourism.