Computer-assisted Language Learning Research Articles

The Feasibility of Live Streaming DW English As Reading Instructional Technology Media For ESP (Learner Perspective)

The use of technology in learning English-reading skills has grown rapidly. One such technology is the computer-aided learning media. The use of computer media in the field of education has many advantages as they are easier to access, disseminate and store. The aim of present study is to investigate the impact of computer assisted language learning (CALL) technology on Indonesian learners' reading skills. This study applied quantitative research. The results of study found that the use of information technology in learning is marked by the interaction between students and materials through internet technology, the existence of programmed teaching, and flexibility in the process for learning both in terms of time and place. It can be concluded that it is very possible for us to be easily literate through various media; with this we can improve the quality of reading.

Rhizo-Creation of Second-Language Teachers’ Capacity for Technological Integration

This article puts to use the work of Deleuze and Guattari to build new knowledge and understanding associated with the circumstantial nature of becoming a technology-capable language teacher through experimentations with/in the agencements of an ongoing research project associated with the design and delivery of a 12-week online graduate course in computer-assisted language learning (CALL). Methodologically, data collection encompassed participants’ assignments, semi-structured interviews, course materials, and researcher’s journal. Moreover, rhizoanalysis was deployed to map change and potentialities in teachers’ becoming. Scholarly contributions to the fields of technology, learning, and teacher education relate to re-theorizing the role and effect of human, expressive, and material elements in teacher education in CALL, as well as developing new methodologies to research micro-level singularities and emergent potentialities for teaching and learning with/in teacher education.

A bibliometric and visualized research on global trends of immune checkpoint inhibitors related complications in melanoma, 2011-2021.

Melanoma is a malignant tumor that originates from the canceration of melanocytes with a high rate of invasiveness and lethality. Immune escape has been regarded as an important mechanism for tumor development, while the treatment of immune checkpoint inhibitors (ICIs) is beneficial in restoring and enhancing the body's anti-tumor immune response to kill tumor cells. To date, ICIs therapy has achieved remarkable efficacy in treating melanoma patients. Despite the significant clinical benefits of ICIs, multiple complications such as rashes, thyroiditis, and colitis occur in melanoma patients. In this study, we aim to explore the development process and trends in the field of ICIs-related complications in melanoma, analyze current hot topics, and predict future research directions. We screened the most relevant literatures on ICIs-related complications in melanoma from 2011 to 2021 in the Web of Science Core Collection (WoSCC). Using VOSviewer, CiteSpace and R language packages, we analyzed the research trends in this field. A total of 1,087 articles were screened, and the USA had the highest number of publications (publications = 454, citations = 60,483), followed by Germany (publications = 155, citations = 27,743) and Italy (publications = 139, citations = 27,837). The Memorial Sloan Kettering Cancer Center had the most publications, but the Angeles Clinic and Research Institute had the highest average citation rate. Lancet oncology (IF, 2021 = 54.43) was the most prominent of all journals in terms of average citation rate. Reference and keyword cluster analysis revealed that anti-tumor efficacy, adjuvant treatment, clinical response, clinical outcome, etc. were the hotspots and trends of research in recent years. This study offers a comprehensive summary and analysis of global research trends on ICIs-related complications in melanoma. Over the past decade, there has been a significant increase in the number of publications on this topic. However, the safety and benefits of retreatment after the recovery of ICIs-related complications remain unknown. Therefore,the establishment of related prediction models, as well as the immunotherapy of melanoma with ICIs in combination with other adjuvant therapies, are future research hotspots.

Using Statistical Test Method to Establish a Decision Model of Performance Evaluation Matrix

Many studies have pointed out that the Performance Evaluation Matrix (PEM) is a convenient and useful tool for the evaluation, analysis, and improvement of service operating systems. All service items of the operating system can collect customer satisfaction and importance through questionnaires and then convert them into satisfaction indices and importance indices to establish PEM and its evaluation rules. Since the indices have unknown parameters, if the evaluation is performed directly by the point estimates of the indices, there will be a risk of misjudgment due to sampling error. In addition, most of the studies only determine the critical-to-quality (CTQ) that needs to be improved, and do not discuss the treatment rules in the case of limited resources nor perform the confirmation after improvement. Therefore, to address similar research gaps, this paper proposed the unbiased estimators of these two indices and determined the critical-to-quality (CTQ) service items which need to be improved through the one-tailed statistical hypothesis test by building a PEM method of the satisfaction index. In addition, through the one-tailed statistical hypothesis test method of the importance index, the improvement priority of service items was determined under the condition of limited resources. Confirmation of the effect on improvement is an important step in management. Thus, this paper adopted a statistical two-tailed hypothesis test to verify whether the satisfaction of all the CTQ service items that need to be improved was enhanced. Since the method proposed in this paper was established through statistical hypothesis tests, the risk of misjudgment due to sampling error could be reduced. Obviously, reducing the misjudgment risk is the advantage of the method in this paper. Based on the precondition, utilizing the model in this study may assist the industries to determine CTQ rapidly, implement the most efficient improvement under the condition of limited resources and also confirm the improvement effect at the same time. Finally, a case study of computer-assisted language learning system (CALL System) was used to illustrate a way to apply the model proposed in this paper.

Global overview of research data repositories: an analysis of re3data registry

PurposeData sharing is increasingly being recognized as an essential component of scholarly research and publishing. Sharing data improves results and propels research and discovery forward. Given the importance of data sharing, the purpose of the study is to unveil the present scenario of research data repositories (RDR) and sheds light on strategies and tactics followed by different countries for efficient organization and optimal use of scientific literature.Design/methodology/approachThe data for the study is collected from registry of RDR (re3data registry) (re3data.org), which covers RDR from different academic disciplines and provides filtration options “Search” and “Browse” to access the repositories. Using these filtration options, the researchers collected metadata of repositories i.e. country wise contribution, content-type data, repository language interface, software usage, metadata standards and data access type. Furthermore, the data was exported to Google Sheets for analysis and visualization.FindingsThe re3data registry holds a rich and diverse collection of data repositories from the majority of countries all over the world. It is revealed that English is the dominant language, and the most widely used software for the creation of data repositories are “DataVerse”, followed by “Dspace” and “MySQL”. The most frequently used metadata standards are “Dublin Core” and “Datacite metadata schema”. The majority of repositories are open, with more than half of the repositories being “disciplinary” in nature, and the most significant data sources include “scientific and statistical data” followed by “standard office documents”.Research limitations/implicationsThe main limitation of the study is that the findings are based on the data collected through a single registry of repositories, and only a few characteristic features were investigated.Originality/valueThe study will benefit all countries with a small number of data repositories or no repositories at all, with tools and techniques used by the top repositories to ensure long-term storage and accessibility to research data. In addition to this, the study provides a global overview of RDR and its characteristic features.

English for tourism and AR-assisted context-aware ubiquitous learning: a preliminary design-based research study

With the rise of augmented reality (AR) and context-aware ubiquitous learning (CAUL), pedagogical designers in computer assisted language learning are increasingly developing authentic English for Specific Purposes (ESP) learning environments. However, there has been little research regarding the development of evidence-based principles for English for tourism purposes (ETP) through AR-based CAUL. The purpose of this study was to provide a preliminary analysis of the design principles and develop a learning model based on a rigorous four-phase Design-Based Research procedure. The researchers first developed a location-based AR application for ETP and formulated the first set of design principles. This application was further tested and refined in an iterative process, with data collected from three different sources. The data collection methods included an online questionnaire, onsite observations, and semi-structured expert interviews. All the data was triangulated and analyzed, and a team of experts evaluated the design principles. Results showed that the technical affordances of mobile AR devices should form the basis for the design. The application needs to seamlessly provide multimodal scenery-based AR learning supports to fulfill individual needs in blended learning contexts. Furthermore, a user-friendly interface with personalized functions and a portfolio recording the learning progress needs to be included. Multimodal authentic ETP dialogs and terminology are also necessary in order to build students’ ETP speaking competence. Moreover, the learning material should be compatible with the main theories which drive language learning in CAUL. In light of the findings, a learning model was established to guide AR-based ETP learning and serve as template for future studies in other ESP fields.

Beyond replication: An exact replication study of Łodzikowski (2021)

AbstractReplication studies have become an emerging line of research in recent decades, including in computer-assisted language learning (CALL). Exact replication, which closely follows a study’s protocol, is rare as it is hard to recreate results without establishing a highly controlled environment. However, using data available online, we were able to conduct an exact replication of Łodzikowski’s (2021) study, which reported on the use of an allophonic transcription tool by 55 Polish learners of English. Allophonic features are used by native speakers to produce acoustic variants of the same phoneme. The original study offered learners an allophonic transcription tool, examined how they used it and considered its association with phonological awareness. This study extended the original research by addressing the limitations of its regression and transcription analyses. Our findings allowed us to offer several suggestions on (1) how an allophonic transcription tool can be better designed to help learners, (2) how CALL researchers can acquire more data for more useful research and (3) why more replication studies are needed in CALL.

Mobile Technologies to Improve Graduate Students' Communication Abilities

Every person has an ingrained desire to learn. Human beings have developed new approaches, methods, and tools for acquiring the language using their intellect and experiences from the prehistoric era to the modern, technologically advanced era. According to the Encyclopedia of Language Learning, since the dawn of human civilization, everyone has developed and learned in their immediate surroundings, which includes politics, economics, education, and technology. Such a setting molds and shapes human minds to act for development at every level and become motivated to accomplish goals. Through some transitional phases of English language learning, such as moving from the grammar-translation technique to more modern communicative language teaching and from computer-assisted language learning to mobile-assisted language learning, this human psychology of language learning can be realized. The subject of current education has emerged as a technology and innovation representative. The rapid advancement of technology has made it more important than ever for people to use it effectively in their daily lives. In this stage of evolution, users place a high value on finishing their tasks successfully, whether through social interaction, informational learning, or language acquisition. The rapid advancement of computer-assisted language learning and the abundance of software and web pages have led to the emergence of the acronym "MALL" (mobile-assisted language learning). A tool that is available anywhere, at any moment, has been required to access this software and websites. The fast advancement of mobile technology and the creation of ever-more-advanced features enabled mobile devices to begin aiding in and offering the resources for software and website accessibility at the same time. The laptop has taken the place of the desktop, which is now progressively being replaced by the use of a cutting-edge palm top. People can now study and acquire information thanks to technological advancements and inventions like Android smartphones, tablets, iPhones, and iPods. Any scholar who looks into determining its efficacy during the transition phase is alarmed by the context of such current, emerging issues in the study and teaching of languages. As a result, a lot of research is being done in the area of mobile technology to determine the value and efficacy of different portable devices in general and mobile-assisted language learning in particular.

Hardware/Software Co-Assurance for the Rust Programming Language Applied to Zero Trust Architecture Development

Zero Trust Architecture requirements are of increasing importance in critical systems development. Zero trust tenets hold that no implicit trust be granted to assets based on their physical or network location. Zero Trust development focuses on authentication, authorization, and shrinking implicit trust zones to the most granular level possible, while maintaining availability and minimizing authentication latency. Performant, high-assurance cryptographic primitives are thus central to successfully realizing a Zero Trust Architecture. The Rust programming language has garnered significant interest and use as a modern, type-safe, memory-safe, and potentially formally analyzable programming language. Our interest in Rust particularly stems from its potential as a hardware/software co-assurance language for developing Zero Trust Architectures. We describe a novel environment enabling Rust to be used as a High-Level Synthesis (HLS) language, suitable for secure and performant Zero Trust application development. Many incumbent HLS languages are a subset of C, and inherit many of the well-known security shortcomings of that language. A Rust-based HLS brings a single modern, type-safe, memory-safe, high-assurance development language for both hardware and software. To study the benefits of this approach, we crafted a Rust HLS subset, and developed a frontend to the hardware/software co-assurance toolchain due to Russinoff and colleagues at Arm, used primarily for floating-point hardware formal verification. This allows us to leverage a number of existing hardware/software co-assurance tools with a minimum investment of time and effort. In this paper, we describe our Rust subset, detail our prototype toolchain, and describe the implementation, performance analysis, formal verification and validation of representative Zero Trust algorithms and data structures written in Rust, emphasizing cryptographic primitives and common data structures.

Task Based Approach: An Approach to Develop Writing Skills in English of Engineering Students Leads to Effective Communication Skills

Abstract : 21st century students are expecting an educational system that works for and with them. The teaching-learning process is shifted from teachercentered to student-centered through innovative teaching-learning techniques. With the advancement of technology and globalization, communication skills in English language, as a life-long learning skill is an essential component in engineering education as an employability skill. Communication is one of 11 key outcomes designed by Accreditation Board for Engineering and Technology (ABET). Listening, speaking, reading, and writing (LSRW) are considered as four basic language skills, contributed major role in developing communication skills in English language. Though all skills are equally important, writing is the stepping stone in verbal communication yet difficult to acquire without knowledge or mastery on the remaining three skills. Currently teaching-learning process is shifted from chalk and talk to the implementation of various approaches based on cooperative and collaborative learning and integration of Information and Communication Technology in English Proficiency class. Some effective approaches are computer assisted language learning, mobile assisted language learning, technology enabled language learning, project based, problem based & puzzle-based language learning, flipped classroom based language learning, and task based language learning. The present paper aims to study the effective implementation of Task based approach in English language classroom to develop writing skills of F. Y. B. Tech students with other 21st century life skills by implementing various tasks-based activities as per need analysis of learners in order to ensure their active participation. Total 50 students were enrolled as an experimental group. The impact of selected approach was evaluated using quantitative and qualitative methodologies. The quantitative assessment was based on rating method whereas the qualitative was based on rubrics. The findings revealed that there is significant improvement not only in the writing skills of experimental group students but also listening, speaking, and reading skills, leading to effective communication skills in English Language. Keywords : Communication skills; Task based approach; Writing skills

Effect of Peripheral Blood Lymphocytes on Prognosis of Multiple Cancers.

In the era of immunotherapy, the immune function of patients with cancer has attracted increasingly more attention. The immune scoring system is an important supplement to the classical tumor staging and classification process. The immune system plays a controversial role in the development of cancer. Meanwhile, the prognostic significance of peripheral blood lymphocytes is still controversial. The present study aimed to assess the prognostic significance of peripheral blood lymphocytes in eight types of cancers. We performed a retrospective analysis of 32731 patients with cancer hospitalized in Shanxi Cancer Hospital from January 2012 to December 2016. The percentages of CD3+, CD4+, CD8+, CD19+, CD56+, and CD127+ lymphocytes in the peripheral blood of all patients were examined using flow cytometry. The immune cell subsets of patients with cancer were classified into three groups using the K-means clustering method via the R language software. Differences in the overall survival rate were analyzed using the Kaplan-Meier method. The Cox regression model was utilized for univariate and multivariate analysis. The mean survival time of patients with liver cancer, rectal cancer, gastric cancer, breast cancer, esophageal cancer, colon cancer, ovarian cancer, and lymphoma was 30.25, 21.74, 37.67, 16.28, 21.62, 30.25, 31.43, and 34.27 months, respectively. The survival curves showed that the most prognostically beneficial immune state of the patients was when the expression of the immune cells in the peripheral blood was in equilibrium. Moreover, Cox proportional hazards regression model analysis revealed that the factors affecting the overall survival (OS) of patients with eight different kinds of cancer were not identical. However, CD19+ lymphocytes had the most significant impact on the prognosis of these patients. Cancer occurrence and development were associated with the density of lymphocyte infiltration. Thus, immune homeostasis could be an effective indicator to evaluate prognosis and judge cancer treatment.

The Role of Computer-Assisted Language Learning (CALL) in Language Teachers’ Professional Development

In the 1950s, there were considerable changes in both second language instruction and learning. The transition from teacher-centred to student-centred learning has totally altered the structure of second language teaching, and the process is still going strong. Consideration of incorporating new methods, technology, and devices has become an integral aspect of language classrooms. The involvement of teachers in this phenomenon is critical and unavoidable. Teachers are now eager to understand their students' individual requirements and are looking for methods and activities that might bring about a revolution in the realm of second language teaching. They select the most appropriate and pertinent strategy based on the personalities and attitudes of their students. Due to which, it is essential to give their professional growth top priority so they are prepared to handle today's problems and decide what is best for their students. The study uses a qualitative interview approach to ascertain how technology influences language instructors' professional development with a focus on computer-assisted language learning (CALL). Recommendations are made to improve the professional development of language teachers based on the respondents' answers to the interview questions.

Examining the attitudes of students’ towards using computer assisted language learning in foreign language classrooms

Problem statement . The use of technology determines the level of development of a country. The issue of technology adaptation in the field of education is important to secure technological integration. Due to the success in providing equality of opportunity to the entire population, the use of communication technology in the field of education is becoming more and more widespread in this context. In recent years, the significance of technological integration in the sphere of education has become apparent. A great number of research conducted on the views of students towards integrating computer assisted language learning (CALL) into the language learning classrooms, however, few studies addressing the attitudes of students towards using CALL in the Kazakhstani contexts exist in the field of language teaching. The aim of this study was to examine university level students’ attitudes towards the use of computer assisted language learning in Kazakhstan. Methodology . The quantitative method of research by analyzing the data collected through survey with the help of SPSS Statistics 23.0, as well as questionnaire developed by M. Vandewaetere and P. Desmet to measure attitudes of students towards the use of computer assisted language learning were applied. The participants of the study were 126 EFL pre-service teachers enrolled at Foreign Languages Teaching Department of Khoja Akhmet Yassawi International Kazakh-Turkish University. Results . The participants have overall positive attitudes towards using CALL in the language classroom. The difference between participants’ attitudes towards using CALL according to their age of study at the university was revealed. It was found statistically significant differences between first year and second year students and first year and third year students’ views towards using CALL in language learning. Conclusion . Further research studies might be conducted in the form of mixed design in order to get more detailed information to support or understand the general results found with the help of questionnaire.

A digital tool designed to support secondary education teachers’ professional development and to develop students’ oral language competence

Digital tools can guide and support teachers in professional development programmes. The aim of this study was four-fold: (1) to explore changes introduced in classroom methodology by secondary school teachers during their participation in a professional development programme, using the digital tool EVALOE-DSS, based on conversational methodology; (2) to analyse the impact of introducing conversational methodology in the development of students’ oral competence; (3) to determine the relation between students’ self-perception of oral competence and self-perceived emotional competence; and (4) to find out the teachers’ opinion about their experience in the programme. The instruments used were the digital tool EVALOE-DSS, the Test of Self-Perceived Oral Competence, the Self-Report of Emotional Intelligence, the Trait Meta-Mood Scale, and a satisfaction questionnaire. The study was developed in four phases: initial intensive training, intervention using the digital tool for four months, students’ assessments and teachers’ evaluations. The results of teachers’ self-assessments using the EVALOE-DSS showed that their self-assessment of classes significantly improved throughout their participation in the programme. In addition, students whose teachers participated in the programme were self-perceived as more competent at oral language, and this had a positive influence on their self-perception of emotional competence. Finally, teachers were positive about their participation in the training process using the EVALOE-DSS. In conclusion, this study seems to suggest that a professional development programme using a Computer Assisted Language Learning (CALL) tool could provide an important strategy for increasing teachers’ oral language teaching quality and improving student learning.

CHARACTERIZATION OF THE AVERAGE POWER, FREQUENCY AND AMPLITUDE OF ACOUSTIC SIGNAL PEAKS OVER THE LUNGS IN CHILDREN WITH COMMUNITY-ACQUIRED PNEUMONIA USING THE NEW DEVICE "TREMBITA-CORONA"

Background. Community-acquired pneumonia (CАР) is an urgent problem today and a significant cause of morbidity and mortality in children. Diagnosis of pneumonia is complex and requires a comprehensive study. At present, respiratory acoustics is a promising method of diagnosis.
 Aim: to investigate the features of average power values, frequencies and amplitudes of acoustic signal peaks over the lungs in children with community-acquired pneumonia using a new acoustic diagnostic device "Trembita-Corona".
 Materials and methods. 120 children aged from 1 month to 18 years who were treated in pediatric departments were studied. The children were divided into two groups: Group I - 60 patients with CAP, Group II - 60 healthy children. The children from the 1st group underwent complex examinations, which required CAP. All children were also examined using the "Trembita-Corona" acoustic monitoring device for the diagnosis of breathing sounds and localization of lung damage zones.
 The study was conducted in accordance with the international principles of conducting clinical studies GCP, GLP, the protocol was approved at the meeting of the Commission on Bioethical Expertise at the National Medical University named after O.O. Bogomolets (protocol No. 138 of November 10, 2020). Informed consent of parents/guardians was obtained for conducting the study, which was approved at the same meeting of the Commission on Bioethical Expertise at Bogomolets National Medical University (protocol № 138 of November 10, 2020).
 Mathematical processing was carried out on specialized software developed in the Python language in the Google Codelabs environment. Further statistical processing of the obtained results was carried out in specialized programs Medstart, EZR (R-Statistics) and "Matlab".
 Results. In children, the clinical picture of CAP consisted of pulmonary (respiratory) complaints, symptoms of intoxication, RF, and local physical changes. All patients were examined for respiratory lung sounds in the frequency range from 0.1 Hz to 30 kHz using the "Trembita-Corona" device and the corresponding original software. The most promising are the studies of breathing noises in the ranges of 0, 1, 2, 3, 4, 5, 6 octaves. Also, significant differences in average signal power between children with CAP and healthy children in 0,1,2,3,4,5,6 octaves were found. Using the "Trembita-Corona" acoustic monitoring device, reliable differences in peak frequency between children with CAP and healthy children in 0 and 5 octaves and reliable differences in peak amplitude between children with CAP and healthy children in 0, 1, 2, 3 were found. ,4,5,6 octaves. Therefore, the use of the "Trembita-Corona" acoustic monitoring device and the use of the developed specialized software in the Python language in the Google Codelabs environment together make it possible to hear specific acoustic signals over the entire surface of the lungs in children with CAP.
 Conclusion. The "Trembita-Corona" acoustic monitoring device is a new and promising acoustic method for determining the location of the pathological process in the lungs. Significant differences were found: in the average signal strength between children with CAP and healthy children in 0,1,2,3,4,5,6 octaves; on the frequency of peaks between children with CAP and healthy children in 0 and 5 octaves; by the amplitude of peaks between children with CAP and healthy children in 0,1,2,3,4,5,6 octaves.

The predictive value of the nomogram model of clinical risk factors for ischemia–reperfusion injury after primary percutaneous coronary intervention

Ischemia–reperfusion injury is a risk factor for poor clinical prognosis in patients with ST-segment elevation myocardial infarction (STEMI). However, due to the inability to predict the risk of its occurrence early, the effect of intervention measures is still being determined. This study intends to construct a nomogram prediction model and evaluate its value in predicting the risk of ischemia–reperfusion injury (IRI) after primary percutaneous coronary intervention (PCI). The clinical admission data of 386 STEMI patients who underwent primary PCI were retrospectively analyzed. According to the degree of ST-segment resolution (STR), the patients were divided into the STR < 70% group (n = 197) and the STR > 70 group (n = 187). The least absolute shrinkage and selection operator (LASSO) regression method was used to screen out IRI's admission-related clinical risk factors. The R language software was used to construct and verify the IRI nomogram prediction model based on the above indicators. The peak troponin level and the incidence of in-hospital death in the STR < 70% group were significantly higher than those in the STR > 70% group (p < 0.01), and the left ventricular ejection fraction was significantly lower than that in the STR > 70% group (p < 0.01). Combined with the results of LASSO regression and receiver operating characteristic curve comparison analysis, we constructed a six-dimensional nomogram predictive model: hypertension, anterior myocardial infarction, culprit vessel, proximal occlusion, C-reactive protein (CRP) > 3.85 mg/L, white blood cell count, neutrophil cell count, and lymphocyte count. The area under the nomogram's receiver operating characteristic (ROC) curve was 0.779. The clinical decision curve found that the nomogram had good clinical applicability when the occurrence probability of IRI was between 0.23 and 0.95. The nomogram prediction model constructed based on six clinical factors at admission has good prediction efficiency and clinical applicability regarding the risk of IRI after primary PCI in patients with acute myocardial infarction.

Current trends in sustainable organization management: A bibliometric analysis

Research background: Sustainability in organizations is a business approach to creating long-term value by taking into consideration how a given organization operates in the ecological, social, and economic environments. The organizational practices that eventually lead to sustainable development are referred to as sustainable organization management. Purpose of the article: The purpose of this paper is to examine the current trends in sustainable organization management over the time period of 2015?2022, highlight the emerging themes in this study area, and provide guidance for further research in the field. Methods: This paper uses bibliometric meta-data analysis to present an analysis of current trends in sustainable organizational management. An in-depth analysis of a sample result of 619 papers from the Web of Science core collection was conducted with the use of biblioshiny, the R-Programming Language package, and the VoS Viewer software. A global representation of concepts was created using the relational directory network visualization technique based on VoS Viewer software. Keyword cooccurrence relationships were determined; relational techniques were used to visualize bibliographic coupling density to identify thematic areas with little research; and overlay visualization bibliometric techniques were used to identify new and old research themes. Findings &amp; value added: Emerging themes are modeling, tourism, and perceptions. Motor theme areas in the field of study include performance, impact, and management. The paper concludes that the study area of organizational sustainability management is still in its early stages and has great research potential, such as Africa as a study area, despite the fact that there have been few or no research findings. Future research should examine the role of technology and innovation in promoting sustainable practices within organizations and clarify how well an organization can survive global competition.

The Future Direction of Halal Food Additive and Ingredient Research in Economics and Business: A Bibliometric Analysis

The increasing growth trend of the global Muslim population implies an increase in the consumption of halal products. The importance of the halal market attracts much attention from many stakeholders, including academia/researchers. Many scholars have conducted studies on halal topics. However, these studies cover broad topics, such as ICT potential in the halal sector, the halal supply chain, Islamic Law, and other halal studies related to natural sciences. This study aims to study the research gap and future trends of halal food additive and ingredient research in business and economics using bibliometric analysis. The data were obtained from the Scopus database from 1999 to 2022. The authors analyzed the keyword “Halal Consumption and Production” by using the general keyword “Halal or Haram Additive and Ingredient”. The dataset was uploaded on VOSviewer and R language (Bibliometrix) software. This study found a deficit of studies on halal food additives and ingredients in business and economics. The co-occurrence network output demonstrated that future studies on halal food additives and ingredients should consider clusters that have lower density and central positions, such as production–consumption and the supply chain, healthy foods, and the logistics market and health effects. The Bibliometrix strategic diagram of the 2020–2022 thematic evolution demonstrates a research gap in three out of four quadrants (i.e., emerging or declining, basic, and motor themes). This study suggests potential research areas in the field of halal food additives and ingredients, such as ethical and sustainable sourcing, responsible consumption, consumer sovereignty, international trade, economic modeling, food security, green/sustainable supply chain, and halal regulation and product safety.

A personal retrospective on language workbenches

Model-driven software engineering and specifically domain-specific languages have contributed to improve the quality of software and the efficiency in the development of software. However, the design and implementation of domain-specific languages requires still an enormous investment. Language workbenches are the most important tools in the field of software language engineering. The introduction of language workbenches has alleviated partly the development effort, but there are still a few major challenges that need to be tackled. This paper presents a personal perspective on the development of tools for language engineering and language workbenches in particular and future challenges to be tackled.

Mentoring Teachers during Covid-19: A Collaborative Organizational Approach

Mentoring is an essential part of teacher development. It is generally acknowledged that a master talent in mentoring is the ability to make resources available to a novice protégé to help them educate successfully. This study illustrates how mentorship technique aided in boosting teacher motivation for online instruction during COVID-19. According to the research, learning is successful when there are close relationships between mentors and mentees, opportunities for growth, and a supportive atmosphere. The investigation took place in a Nepalese school in Kathmandu. Ten English Language (EL) instructors from Nursery - 10 participated in the study. They were mentored by the head of the English Department and a computer assistant for two months. The Technological Pedagogical and Content Knowledge (TPACK) model of mentoring was used, which stood on connectivism philosophy. The study employed a narrative methodology. Semi-structured interview and thematic analysis techniques were used to produce and analyse data. Standing on their stories, the teachers were familiarized with the concept of Web-Enhanced Language Learning (WELL), Mobile-Assisted Language Learning (MALL), and Computer-Assisted Language Learning (CALL). Finally, teachers produced technology enhanced lesson plans fusing the content with technology for the new pedagogy. To assess the results of mentoring during the pre-phase, while-phase, and post-phase, in-depth interviews were carried out. The findings highlight the difficulties mentees faced: a lack of confidence or a sense of inferiority in online teaching environment, as well as how self-sufficiency was restored after mentoring. According to the study, effective mentorship can still take place in challenging educational circumstances.