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Universiti Brunei Darussalam has been fostering the study of foreign languages in Brunei to expand their undergraduates’ accessibility in the job market and overall give them equal opportunities to have a quality foreign language learning experience. This paper is a critical analysis of past studies by Ainol and Isarji’s (2009) on foreign language learners at Universiti Kebangsaan Malaysia (UKM), and Universiti Teknologi MARA (UiTM), and Farhana’s (2019) study on Universiti Brunei Darussalam’s (UBD) foreign language learners’ motivation. A focused investigation at how different motivation types, namely intrinsic, extrinsic, instrumental, and integrative, affect foreign language learners at the university level in Brunei Darussalam and Malaysia. A pattern observed in Brunei and Malaysian universities is that intrinsic motivation is the foundation of foreign language learning. Bruneian undergraduates are learning out of interest, and their Malaysian counterparts are learning because they enjoy the experience. While the university's language policy determines the number of students learning a foreign language each semester, the outcome is still highly dependent on the student's motivation to learn the foreign language.

The shift in the function of English as a medium of instruction together with its use in knowledge construction and dissemination among scholars continue to fuel the global demand for high-level proficiency in the language. These components of the global knowledge economy mean that the ability of nations to produce multilinguals with advanced English proficiency alongside their mastery of other languages has become a key to global competitiveness. That need is helping to drive one of the greatest language learning experiments the world has ever known. It carries significant implications for new research agendas and teacher preparation in applied linguistics.

Evidence-based decision-making, whether it pertains to language policy decisions, instructional practices, teacher professional development or curricula/program building, needs to be based on a rigorous and systematically pursued program of research and assessment.

This paper seeks to advance these objectives by identifying new research foci that underscore a student-centered approach.

It introduces a new theoretical construct – multilingual proficiency – to underscore the knowledge that the learner develops in the process of language learning that makes for the surest route to the desired high levels of language proficiency. The paper highlights the advantages of a student-centered approach that focuses on multilingual proficiency for teachers and explores the concomitant conclusions for teacher development.

This methodological paper demonstrates how service firms can use digital technologies to quantify and predict customer evaluations of their interactions with the firm using unstructured, qualitative data. To harness the power of unstructured data and enhance the customer-firm relationship, the use of computerized text analysis is proposed.

Three empirical studies were conducted to exemplify the use of the computerized text analysis tool. A secondary data analysis of online customer reviews (n = 2,878) in a service industry was used. LIWC was used to conduct the text analysis, and thereafter SPSS was used to examine the predictive capability of the model for the evaluation of customer-firm interactions.

A lexical analysis of online customer reviews was able to predict evaluations of customer-firm interactions across the three empirical studies. The authenticity and emotional tone present in the reviews served as the best predictors of customer evaluations of their service interactions with the firm.

Computerized text analysis is an inexpensive digital tool which, to date, has been sparsely used to analyze customer-firm interactions based on customers' online reviews. From a methodological perspective, the use of this tool to gain insights from unstructured data provides the ability to gain an understanding of customers' real-time evaluations of their service interactions with a firm without collecting primary data.

This research contributes to the growing body of knowledge regarding the use of computerized lexical analysis to assess unstructured, online customer reviews to predict customers' evaluations of a service interaction. The results offer service firms an inexpensive and user-friendly methodology to assess real-time, readily available reviews, complementing traditional customer research. A tool has been used to transform unstructured data into a numerical format, quantifying customer evaluations of service interactions.

As new English-medium universities open their doors in the Arabian Gulf andsome Arabic-medium universities switch to using English as the language ofinstruction, instructors in all disciplines face the challenge of teaching theircourses in English to students who have learned (and who are continuing tolearn) English as a foreign language. This article reviews theories and practicesfrom the field of Applied Linguistics and Teaching English as a SecondLanguage (TESOL) which can help content-area instructors understand andreach these learners.

Second language acquisition research has produced several concepts ofinterest to content-area instructors. Krashen’s theory of comprehensible inputfocuses on the language used by the instructor, while Swain’s of comprehensibleoutput emphasizes providing opportunities for students to produce language. Cummins differentiates between two types of language proficiency: BasicInterpersonal Communication Skills (BICS), which are needed for dailyinteractions, and Cognitive Academic Language Proficiency (CALP), which isrequired for academic tasks. Interlanguage and first language interference mayalso influence students’ second language production in classroom settings.

Specific classroom practices for improving students’ language comprehensionand facilitating content learning are recommended. These include modifyingspeech, using visual aids, utilizing a variety of questioning techniques, andextending the time instructors wait for students to respond. Instructors canemploy strategies, such as mind-mapping and quickwriting, to activate students’linguistic and conceptual schemata at the beginning of a lesson. Scaffoldingprovides structure and support for students to complete tasks until they are ableto realize them on their own. Collaborative/cooperative learning lowers students’affective filters and offers opportunities for participation and language practice. Graphics illustrate some of the suggested practices.

The purpose of this paper is to reduce the difficulty of model predictive control (MPC) deployment on FPGA so that researchers can make better use of FPGA technology for academic research.

In this paper, the MPC algorithm is written into FPGA by combining hardware with software. Experiments have verified this method.

This paper implements a ZYNQ-based design method, which could significantly reduce the difficulty of development. The comparison with the CPU solution results proves that FPGA has a significant acceleration effect on the solution of MPC through the method.

Due to the limitation of practical conditions, this paper cannot carry out a hardware-in-the-loop experiment for the time being, instead of an open-loop experiment.

This paper proposes a new design method to deploy the MPC algorithm to the FPGA, reducing the development difficulty of the algorithm implementation on FPGA. It greatly facilitates researchers in the field of autonomous driving to carry out FPGA algorithm hardware acceleration research.

The purpose of this paper is to illustrate an interdisciplinary system of targeted student supports, drawing from social and emotional learning (SEL), culturally responsive practices (CRP) and positive behavioral interventions and supports (PBIS). While these approaches are not often synthesized in research literature, innovative educators are integrating multiple theories and practices to achieve better outcomes for students.

The paper uses a descriptive, participatory case study method, including quantitative and qualitative data from a three-year period. The author was a participant in the change process, as well as an observer documenting the outcomes. The case study takes place in a Spanish/English bilingual elementary school.

PBIS was a strong influence in the three-year systems change process, due in part to the availability of free, research-based tools. The educators adapted PBIS practices to incorporate SEL, and CRP approaches in several instances. Quantitative data show the increase in PBIS implementation fidelity and one student’s progress with a targeted intervention. Qualitative data illustrate the creative, interdisciplinary and contextualized adaptations made by the team.

Guidance is available for educators seeking to implement SEL, CRP and/or PBIS approaches in isolation. To a lesser extent, integrated models are emerging in the literature. There is a need for more descriptive, real-world case examples of how these approaches are implemented and adapted in practice. This study provides educators with one example that can offer examples and implications for practice.

This article ties in with current debates on the digital transformation of society and the consequent work changes. Using an artificial intelligence (AI)-based accounting context, the focus of this paper is on actors, roles and tasks and related skills on an individual level. The authors look at the effect of AI-based “smart” technology on the workforce in the broader accounting profession taking an intrafirm perspective, yet acknowledging that the digital transformation encompasses a much larger field in the financial sector.

The authors conduct a Delphi study to identify the new roles and tasks in future accounting. In addition, the authors use expert workshops to clarify the related tasks and skills and determine whether either humans or AI-based technologies perform the roles or collaborate in professional accounting occupations.

The results show that tasks and skills for existing professional occupations in the broader acounting context will be subject to major changes in the next 10 years due to (AI based) digital technologies, while “core” roles and tasks will continue to exist in the future, some will not be performed by humans but by AI-based technology. For other “new” roles, humans will need to make informed use of digital technologies and, to some extent, collaborate with AI-based technology.

The authors look at the effect of AI-based “smart” technology on the workforce in the broader accounting profession, taking an intrafirm perspective.

This article ties in with current debates on the digital transformation of society and the consequent work changes. Using an AI-based accounting context, the focus of this paper is on the new and adapted roles and tasks.

The comprehensive analysis based on the Delphi study and expert workshops provide ample innovative ground for future research on the impact of AI on organisations and society.

In this study, a tool has been designed and developed for learning about the concept of lag order within a dynamic model, which can be used in any teaching classes on statistics and financial data computation. To show a solution for a complex and multi-step process of finding the optimal lag order for multiple variables data series based on an information criterion a module using Visual Basic for Applications (VBA) for Microsoft Excel (MS Excel) is being developed. This module can be used for estimating a multivariate dynamic model as well as determining the optimal lag order of such a model.

The present study focuses on the link between foreign language anxiety (FLA), self-perceived proficiency, and multilingualism in the under-explored English as a Foreign Language (EFL) context of Saudi Arabia. Ninety-six Arabic undergraduate college-level EFL students (56 males, 40 females) answered the Arabic version of the Foreign Language Classroom Anxiety Scale (FLCAS – Horwitz, Horwitz, & Cope, 1986). The analyses revealed that Saudi multilinguals suffered from low to moderate levels of FLA with female participants experiencing more anxiety than their male counterparts. Multiple regression analyses revealed that gender and self-perceived proficiency explained over a quarter of variance in FLA. Furthermore, the study did not find any role of experience abroad in predicting FLA.

This study attempts to assess the readiness of Saudi students for independent/autonomous learning, with a focus on learning of English as a Foreign Language (EFL). The study used a questionnaire and semi-structured interviews to gain insights from a population of 319 students (aged 15-24) about their perceptions of responsibilities, decision-making abilities, motivation, involvement in autonomy-related activities, and capacity to take charge of their own learning. The findings of the study confirmed the relatively low readiness of Saudi EFL learners for independent learning (M = 3.06 on a scale of 1 to 5, SD =.31). Learners demonstrated low responsibility levels, since only 17.27% of them perceived that they accept sole responsibility for their EFL learning. Respondents reported a moderate level of ability (M = 3.63) and motivation (M = 3.70) to learn English. A considerable percentage of participants (27.29%) reported that they are rarely involved in self-directed activities; they demonstrated high levels of teacher dependency and low levels of learner independence. Despite the participants’ reasonable level of awareness of the nature of learner autonomy and its demands, their responses identified them as EFL learners with low autonomy. This study informs EFL learning stakeholders in Saudi Arabia that learners’ readiness for such conditions must be developed before interventions aimed at promoting autonomy are implemented in this context.

.هيتاذ ةروصب ةيزيلجنلإا ةغللا ملعتل نييدوعسلا بلاطلا ةيزهاج ىدم ميقت نأ ةساردلا هذه لواحت تفظونايبتسا ةساردلا ا تلاباقمو رظن ةهجو ىلع لوصحلل319 لوح ابلاط يتاذ لكشب ملعتلل ةيلوئسملا مهلمحت ىدمةيعفادلا ،رارقلا ذاختا ىلع مهتردق ، ةغللا ملعتلةيبنجلاا ةغللا ملعتل نييدوعسلا بلاطلا ةيزهاج فعض ةساردلا جئاتن تتبثا .يتاذ لكشب ملعتلا ىلع ةردقلاو ،ةيتاذلا ةطشنلأا يف ةكراشملا ،يلجنلإا = طسوتم( يتاذ لكشب ةيز3.06 = يرايعم فارحنا ،31. ثيح يتاذ لكشب ملعتلل ةيلوئسملل مهلمحت فعض نوكراشملا تبثا .)تبسن ام ىعداه طقف(17.27 ملعتلا ىلع ةردقلل ةطسوتم تايوتسم نوكراشملا سكع نيح يف كلذل مهلمحت نيكراشملا يلامجا نم )%3.63ةيعفادلاو ) لجنلإا ةغللا ملعتل( ةيزي3.70( نيكراشملا نم ةريبك ةبسن سكعت .)27.83يف مهتكراشم مدع )% يتاذلا ملعتلا ةطشنأ ريبك لكشب دامتعلااولوح نوكراشملا اهادبا يتلا ةطسوتملا تايوتسملا نم مغرلا ىلع .سفنلا ىلع دامتعلاا فعضو ملعملا ىلع فارتعلاا بمهتاباجا نا لاا هتابلطتمو يتاذلا ملعتلا ةيمهأ هذه يصوت .يتاذلا ملعتلل مهتيزهاج مدع تتبثا ةلباقملا ةلئساو نايبتسلاا ىلعلا جمد ةلواحم لبق يتاذلا ملعتلل ةبسانملا ةئيبلا ريفوتب ةيدوعسلا ةيبرعلا ةكلمملا يف ةيزيلجنلإا ةغللا ملعت نع نيلوئسملا ةساردلا يف بلاط .ملعتلا نم عونلا اذه