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The authors constructed an automatic essay scoring (AES) model in a discussion forum where the result was compared with scores given by human evaluators. This research proposes essay scoring, which is conducted through two parameters, semantic and keyword similarities, using a SentenceTransformers pre-trained model that can construct the highest vector embedding. Combining these models is used to optimize the model with increasing accuracy.

The development of the model in the study is divided into seven stages: (1) data collection, (2) pre-processing data, (3) selected pre-trained SentenceTransformers model, (4) semantic similarity (sentence pair), (5) keyword similarity, (6) calculate final score and (7) evaluating model.

The multilingual paraphrase-multilingual-MiniLM-L12-v2 and distilbert-base-multilingual-cased-v1 models got the highest scores from comparisons of 11 pre-trained multilingual models of SentenceTransformers with Indonesian data (Dhini and Girsang, 2023). Both multilingual models were adopted in this study. A combination of two parameters is obtained by comparing the response of the keyword extraction responses with the rubric keywords. Based on the experimental results, proposing a combination can increase the evaluation results by 0.2.

This study uses discussion forum data from the general biology course in online learning at the open university for the 2020.2 and 2021.2 semesters. Forum discussion ratings are still manual. In this survey, the authors created a model that automatically calculates the value of discussion forums, which are essays based on the lecturer's answers moreover rubrics.

Background: The study focuses on the challenges encountered during the distribution of food and face-mask items during the first COVID-19 lock-down by various relief supply chain actors.

Methods: Data were collected from forty (40) relief actors through online (via Zoom and telephones) and face-to-face interviews, between January 2021 to March 2021. Data was coded based on per-determined themes after which it was further processed using Atlas ti. v7.57 to generate patterns.

Results: The study established challenges related to needs identification, procurement, warehousing, transportation, handling, beneficiary verification, and last-mile distribution. Additionally, the media and politics coupled with the emergence of new actors and governance issues were part of the challenges identified.

Conclusions: The identified challenges were internal and external to the relief supply chain; hence actors could have control over some while others were beyond their control. The findings could inform practitioners and policymakers on what challenges are likely to affect their operations, especially during a pandemic, and design appropriate coping mechanisms.

The evolving visitors' expectations and the unfolding digital transformation compel rethinking on the service offering of museums and cultural institutions. Although digitalization and people-centeredness are widely exploited to enhance the visiting experience, there is limited evidence of their implications on organizational attractiveness. The article investigates this issue, examining the service attributes that entice visitors.

The study collected secondary data from the latest census study by the Italian Institute of Statistics on museums and cultural institutions. Two hierarchical regression models have been run on a sample of large publicly owned organizations (n = 312) to identify the service factors that were most effective in attracting Italian and foreign visitors.

Museums and cultural institutions undergoing a digital transformation were more effective in attracting visitors. The delivery of virtual tours and online events captivated the Italian audience. Foreigners appreciated the opportunity to use applications augmenting the on-site visit.

Digitalization and people-centeredness improve the attractiveness of museums and cultural institutions. Using digital channels to engage visitors fosters their desire to interact with cultural heritage. Furthermore, digitalization enriches the on-site visit, expanding conventional services with virtuality. However, the adverse effects on cultural heritage should be carefully handled.

This study highlights the service attributes that add to the attractiveness of museums and cultural institutions, enabling them to engage visitors and improve the visiting experience.

The purpose of this paper is to develop and validate a scale for measuring perceived bureaucratic readiness for smart city initiatives.

The present study employs a mixed method approach to achieve its research objectives. An exploratory study, consisting of literature review and qualitative interviews with key informants, was conducted to develop an initial instrument for measuring bureaucratic readiness. An online survey of 40 civil servants involved in smart city programmes in the Yogyakarta City government was then administered to test the instrument’s validity and reliability.

Perceived bureaucratic readiness can be measured through four dimensions: commitment of the upper echelons, legal support, information technology resources and governance.

The proposed scale provides an alternative instrument for measuring perceived bureaucratic readiness for smart city initiatives. However, as data were only derived from one city government, they are relatively small in scope. Future research can be conducted for generalisation by replicating this study in other cities, thereby measuring its effectiveness in other contexts and settings.

This study not only provides a better understanding of bureaucratic readiness for smart city initiatives, but also proposes an assessment tool as a practical means of assessing bureaucratic readiness. The quantification of readiness is beneficial to putting smart city programmes into practice, as it allows smart city managers to assess the internal bureaucracy’s level of readiness. It also allows managers to mitigate and further policy agendas and thereby improve the bureaucracy’s support for smart city programmes.

Literature sometimes underestimates the role of bureaucracy in smart city implementation while overly stressing stakeholders, vendors and technology. This paper attempts to contribute to smart city research by reaching beyond the technological perspective and focusing on local government bureaucracy. None of the extant literature provides a scale for measuring bureaucratic readiness. The study thus proposes a systematic way to develop a means of measuring perceived bureaucratic readiness for smart city programmes.

This study aims to examine whether the development of students’ sustainability competences is dependent on how courses are delivered at higher education institutions (HEIs). It further investigates to what extent such competences can affect students’ belief in the new environmental paradigm (NEP) and pro-environmental behaviors (PEBs).

The data was collected through an online survey conducted in 2021 among the students of an international research university based in The Netherlands. The final sample (N = 262) consisted of all the students who completed the survey and claimed that they had taken at least one course that addressed sustainability. Linear regression models were used to examine the relationship of sustainability education and students’ competences, as well as their pro-environmental attitudes and behaviors.

The findings reveal that the strength of universal, broadly applicable pedagogies is positively related to the development of students’ sustainability mindset/framework as well as their sustainability action/communication. The results also reveal that developing students’ competences on sustainability mindset/framework is directly related to their belief in the NEP and PEBs.

To develop an integrative pedagogical approach requires understanding how a HEI’s engagement in sustainability can impact students’ attitudes and behaviors, but little research has actually measured the development of students’ competences. This study fills this gap through empirically testing how different pedagogical approaches can affect students’ sustainability competences differently. This has important implications for systematically linking pedagogical approaches to teaching practices or concrete learning objectives.

Whilst English remains the language of global commerce, the role and outcomes of English language provision in English-medium higher education institutions in the Arab Gulf countries remains central to any discussion on graduate profile and the employability of graduates in the global marketplace. This paper describes the findings of research into English workplace communication skills amongst a sample of Bahrain employers and students at Bahrain Polytechnic. Using a mixed methods approach, data was gathered through telephone interviews, student workplace simulations and employer focus groups. Findings show that generic employability skills, channelled through English as a second or additional language, are highly valued by Bahrain’s employers. In particular, students need to market themselves as confident, knowledgeable individuals during the recruitment process and after recruitment, continuing to operate successfully in the sociolinguistic culture of their company. Consequently, it is concluded that English language training in higher education programmes needs to move from purely linguistic and degree-related content areas to a broader remit of English for communication purposes that covers both specialised discourse fields and broader generic employability skills and competencies.

Climate change poses risks to society and the demand for carbon literacy within small and medium-sized enterprises is increasing. Skills and knowledge are required for organizational greenhouse gas accounting and science-based decisions to help businesses reduce transitional risks. At the University of Copenhagen and the University of Northern British Columbia, two carbon management courses have been developed to respond to this growing need. Using an action-based co-learning model, students and business are paired to quantify and report emissions and develop climate plans and communication strategies.

This paper draws on surveys of businesses that have partnered with the co-learning model, designed to provide insight on carbon reductions and the impacts of co-learning. Data collected from 12 respondents in Denmark and 19 respondents in Canada allow for cross-institutional and international comparison in a Global North context.

Results show that while co-learning for carbon literacy is welcomed, companies identify limitations: time and resources; solution feasibility; governance and reporting structures; and communication methods. Findings reveal a need for extension, both forwards and backwards in time, indicating that the collaborations need to be lengthened and/or intensified. Balancing academic requirements detracts from usability for businesses, and while municipal and national policy and emission targets help generate a general societal understanding of the issue, there is no concrete guidance on how businesses can implement operational changes based on inventory results.

The research brings new knowledge to the field of transitional climate risks and does so with a focus on both small businesses and universities as important co-learning actors in low-carbon transitions. The comparison across geographies and institutions contributes an international solution perspective to climate change mitigation and adaptation strategies.

This chapter establishes the conceptual and analytic framework for the book. It relates not only to much of the existing work in evolutionary and institutional economics, but also to work in cultural science and cultural semiotics domains as well as in media convergence and transmedia studies. The central concept it first deploys is ‘innovation systems’ as applied in national, regional, international and sectoral contexts. It then builds on the general theory of economic evolution by Kurt Dopfer and Jason Potts and reviews the tools this theory provides to carry out a meso-level analysis of industries co-innovating and converging. It then proposes a new concept – ‘cross-innovation’ – to refer to the emergence of new structures and ‘rules’ at the boundaries of existing industries.

In spite of the potential of peer feedback, research related to the international classroom and the development of intercultural competences remains limited. This paper aims to further explore this combination and associated gaps by presenting students’ perceptions of peer feedback on individual behaviour in group work.

Several studies have shown that peer feedback can be a powerful instrument in higher education. For this reason, this instrument is increasingly being deployed in the international classroom of a Dutch Business School (DBS), which has a student population of about 60 different nationalities. The present paper adopts an embedded case-study design in studying peer feedback within the international classroom.

The primary results of this study are twofold. First, they show that before joining DBS, the vast majority of international students have never been exposed to group work peer feedback. And second, they reveal that cultural background (bias) is a critical factor in how students provide and perceive peer feedback. Students from high-context cultures struggle with direct feedback provided by students from low-context cultures. Furthermore, the results show that domestic cultural values “lack consideration” when dealing with the contrasts in cultural values of non-domestic (international) students.

This study indicates that several aspects of the students’ cultural background have a direct impact on how they provide and perceive individual peer feedback on their behaviour in group work. Furthermore, it argues that peer feedback, when used as an instrument, requires specific training and guidance of students with regard to cultural differences, values and perceptions.