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Organizations have been challenged to identify antecedents to improved employee adjustment to the work environment changes that arose in the wake of the COVID-19 global pandemic. This study aims to explore the effect of multilingualism on employee ability to adjust to workplace changes based on the concept that multilinguals have been found to switch between tasks more efficiently as compared to monolinguals.

Applying a sequential explanatory mixed methods research approach, quantitative performance evaluation data on 207 credit union employees is analyzed using hierarchical linear modeling to predict employee performance, and thematic analysis of qualitative data representing the adjustment narratives of six monolingual and six multilingual employees within the sample is conducted, corresponding to the period during which employees were adjusting to broad workplace changes after the onset of the global pandemic.

The results suggest greater predicted improvement in the performance of multilingual employees. Reliance on the task-switching ability associated with multilingualism is found to be the primary self-evaluative factor for successful change adjustment among multilingual employees.

In light of work performance benefits identified in this study, organizations may consider multilingualism as a characteristic preceding better adjustment to organizational change, and not simply as a skill applicable to tasks requiring language proficiency, suggesting practical implications for human resource and organizational management.

This is the first sequential explanatory study focusing on the task-switching ability of multilinguals as an antecedent to change adjustment evidenced by improved work performance within an organizational context.

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.

Computer-assisted language learning (CALL) can create participatory cultures by removing barriers to access materials, encouraging student modes of expression, differentiating student interactions through digital environments and increasing learner autonomy. Participatory cultures require competencies or new media literacy (NML) skills to be successful in a digital world. However, professional development (PD) often lacks training on CALL and its implementation to develop such skills. The purpose of this study is to describe teachers use of digital tools for multilingual learners through a relevant theoretical perspective.

This design-based research study examines 30 in-service teachers in South Carolina, a destination state for Latinx immigrants, focusing data over three semesters of PD: interviews and instructional logs. The researchers address the question: How are teachers using digital tools to advance NML for multilingual learners (MLs)?

The authors analyzed current elementary teachers’ use of digital tools for language learning and NML purposes. Three themes are discussed: NMLs and digital literacy boundaries, digital tools for MLs and literacy teaching for MLs and NML skills.

Teacher PD often needs more specificity regarding the intersection of MLs and digital literacy. The authors contribute to the literature on needed elementary teaching practices for MLs, the integration of NML and how these practices may be addressed through PD.

This study aims to collect distributed knowledge organization systems (KOSs) from various domains, enrich each with meta information and link them to the multilingual KOS registry, facilitating integrated search alongside KOSs from various languages and regions.

This research involved collecting and organizing KOS information through three primary steps. The initial phase involved finding KOSs from Web search results, supplemented by the Korea ON-line E-Procurement System (KONEPS) and the National R&D Integrated Notification Service. After obtaining these KOSs, they were enriched by structuring contextual meta information using Basic Register of Thesauri, Ontologies and Classification (BARTOC) metadata elements and established dedicated media wiki pages for each. Finally, the KOSs were linked to the multilingual KOS registry, BARTOC, ensuring seamless integration with KOSs from various languages and regions and creating connections between each registry entry and its associated KOS wiki page.

The research findings revealed several insights, as follows: (1) importance of a stable source for collecting KOS: no national body currently oversees KOS registration, underscoring the need for a systematic approach to collect dispersed KOSs. For Korean KOSs (K-KOSs), KONEPS and National R&D Integrated Notification Service are effective data sources. (2) Importance of enhanced metadata: merely collecting KOSs were not enough. Enhanced metadata bridges access gaps and dedicated wiki pages aid user identification and understanding. (3) Observations from multilingual registry uploads: When adding KOSs to a multilingual registry, similarities were observed across languages and regions. Recognizing this, the K-KOSs were linked with their international counterparts, fostering potential global collaboration.

Due to the absence of a dedicated KOS registry agency, the study might have missed KOSs from certain fields or potentially over-collected from others. Furthermore, this study primarily focused on K-KOSs and their integration into the BARTOC registry, which might influence the methods and perspectives on collecting and establishing links among analogous KOSs in the registry.

This research pursued a stable method to detect KOS development and revisions across various fields. To facilitate this, we used the integrated e-procurement and R&D notification system and added meta information to aid in the identification and understanding of KOSs, which includes media wiki pages. Furthermore, link information was provided between the BARTOC registry and the Korean KOS websites and media wiki pages.

The prioritization of multilingual and multicultural education (MME) must spread beyond educators and researchers, who have long known the benefits, to the politicians and policymakers and to the general public. This paper aims to propose that the MME field needs a good economist who can explain MME benefits in terms of the language of economy, clarifying that economic advantages extend beyond diverse individuals, including those who may be ideologically opposed, via increased economic output to potentially benefit all.

Using a conceptual framework, connections are demonstrated between MME and increased cultural and linguistic sensitivity as well as between the effects of increased sensitivity on the potential for economic benefits. These connections can be logically extended to consider the effects of MME on economic output.

Research indicates that MME can increase cultural and linguistic sensitivity and that increased sensitivity to cultural and linguistic diversity can affect economic output. A logical bridge between the two fields of research is illustrated.

This paper uses a practical approach to support the flourishing of MME. If MME is, ultimately, to result in benefits that all can appreciate, it is imperative to get groups with various purposes on board. Then, maybe we can look forward to the effective and pervasive implementation of MME. The challenge remains that this message has not been reaching the general public, and a good economist’s communication could be the key.

This study aims to investigate multilingual representation on public signs in the High City tourist destination in Abha, Saudi Arabia. It also reveals the linguistic strategies used in such representation.

This exploratory qualitative study used purposive sampling to analyze bottom-up public signs collected from the target tourist destination. A preliminary analysis was conducted for a more in-depth qualitative analysis of every sign. An Excel database was used to provide a general description and a preliminary reading of the strategies before using an in-depth analysis of every sign.

The study revealed that monolingualism (Arabic or English) and bilingualism (Arabic and English) represented the High City as a tourist destination where the signs served information and symbolic functions. No single multilingual sign was found. Certain linguistic strategies were used on the public signs, including politeness, transliteration, hybrid representation, personification and fragmentary. Some tourist-oriented strategies, such as the crisis communication strategy, are still missing.

These findings indicate that this tourist destination still targets local and regional visitors, and its linguistic landscape (LL) needs further consideration in terms of internationalization and targeting international visitors. This study implies that bilingual Arabic and English tourist destinations are potential domains for translation students and English language learners.

This study has focused on the LL of a newly established tourist destination in Saudi Arabia. It has shed light on the nuanced representations and strategies used through public signage. It contributes to understanding how linguistic elements can shape tourists’ perceptions and experiences.

This paper aims to describe how engaging in an inquiry-as-stance reflexive approach informed the design of a graduate-level early childhood social studies methods course to support the professional identity development of multilingual/Latinx, Black, Indigenous, people of color (ML/L/BIPOC) teacher candidates.

Nested within a theoretical construct that articulates “unlearning as a disruptive force” (Dunne, 2016), the author used a parallel process that modeled the teaching of social studies methods grounded in critical reflections of students’ cultural and linguistic assets. In so doing, the author shares how she models culturally and linguistically responsive-sustaining pedagogy in practice.

The findings illustrate that in this course, students begin unlearning internalized deficit narratives that they have been socialized to believe about themselves and, often, their students.

This study is based on only four semesters of teaching one graduate-level methods course to ML/L/BIPOC early childhood educators at one institution, research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.

Through unlearning, ML/L/BIPOC learn to recognize their assets, dispositions, skills and capacities more fully and, thus, are more able to enact culturally responsive-sustaining pedagogy once in their own classrooms. As such, this study has value for applying critical, identity-centered and asset-based pedagogies in teacher preparation programs.

The aim of this study was to investigate the use of software for the automation of academic libraries in Sialkot. This study consisted of three objectives, including recognizing the reasons to adopt the software for library automation, investigating the problems faced by librarians while using library software and identifying the satisfaction level with the attributes of library software.

A quantitative research approach was used to achieve the objectives of this study. A survey was conducted to collect data from the library information science professionals working in the academic libraries of Sialkot. The data was collected from 46 library professionals through a structured questionnaire.

The findings showed that the economic cost of implementation, maintenance and the software providing multilingual support were the major reasons for adoption of software for the purpose of automation. In this study, compliance with the internet, noncooperation in library automation by university/institution, availability of training facilities, insufficient library budget, a lack of financial/economic resources, staff transfer and a lack of consultancy and technical service were identified as major issues when using library automation software. However, the respondents were quite satisfied with the performance of software attributes including circulation modules, easy to use cataloguing modules, reports’ modules, software attributes of administration modules and multilingual facility.

This study persuades library and information science professionals to automate their libraries through the adoption of library software.

The purpose of the study is to evaluate certain characteristics of the videos of the software Koha and DSpace posted on YouTube. Since YouTube has the potential to provide the content creator to share their knowledge and experience through their content which has become much more beneficial to the information seeker. Nowadays, people search for queries or tutorial videos on YouTube very often to earn a better understanding of the term. Sentiment analysis of the viewers' opinion of the videos is another purpose of this study.

Dataset for evaluating the characteristic of the videos of Koha and DSpace was extracted by using Webometric Analyst by creating YouTube API. Once retrieval of data was completed, a manual verification was enhanced to filter out spam videos unrelated to the scope. After the confirmation of authentic relatable videos, seeking the video's id as query, the comments per video were extracted using Webometric Analyst. For opinion mining, the Parallel Dots API web service was used in Google Sheets as an addon function. The sentiment, multilingual sentiment, emotion, intention and word frequency of the viewers' opinion was examined with the help of certain default functionalities.

Webometric Analyst extracted a total of 461 and 397 videos of Koha and DSpace, respectively, uploaded on the YouTube platform. The findings of the study indicate that the growth rate of videos on Koha is decreasing, while the number of videos uploaded on DSpace is gradually increased in the last 10 years. The highest number of videos posted in 1–20 min duration category with mostly high definition (HD) with standard YouTube license and prominently in the English language. The sentiment analysis of the total extracted comments on Koha and DSpace videos found to be 2043 and 862 comments, respectively, among whom “Positive” comments are mostly found and with “Happy” emotion can be highly detected with most supportive “Feedback” intention on both Koha and DSpace videos. The top word frequency signifies that the users of both the software are using the comments section of the videos on YouTube to ask and provide troubleshooting help to each other.

The present study has some limitations too; the dataset for the study includes only those videos whose title, description or keywords sections had the query terms “Koha” or “DSpace” there are chances that some videos would have been left out from the dataset related to these software.

This is the first paper to evaluate the characteristics and sentiment of both the videos Koha and DSpace. Through this, the popularity, likeness and dislike and the impact of the contents of the videos uploaded will be disclosed, and creators can make an improvement by referring this, and the seekers will adapt to the use of correct and authentic information.