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In this paper, we describe a framework for bilingual decoding instruction, with a call for collaborators. Decoding is the ability to apply knowledge of letter-sound correspondences to pronounce words. We adopt a standard phonological approach for early instruction that could be expanded to include practice with constructive morphemes, like prefixes and suffixes, and reading for meaning. Decades of research have shown that word decoding is a bottleneck in reading comprehension. Unless children develop sight-word reading capabilities, comprehension of texts is severely hampered. The present approach draws on children’s spoken vocabulary knowledge in their native language as a bridge to decoding in a second language. The goal is to develop a tutoring system that draws on current and forthcoming multimedia technologies, and to implement the system in multilingual countries, e.g.: USA, India, Ukraine and across national borders. As a starting point, the authors will use a web platform https://ethicalengineer.ttu.edu designed in 2017 by the USA, Indian, and Ukrainian collaborators, several of them being co-authors of this paper, as a model for the new website for reading instruction. The Ethical Engineer website demonstrates one mechanism through which instructors can reach out to establish connections within and outside their native country around topics and issues of common interest and support educator cooperation and research development. The new model hopes to achieve success comparable to that of the EthicalEngineer. Using computer-based instruction allows for empirical testing of teaching methods, thereby optimizing the educational process. It is important to take advantage of this to ensure the most effective methods are used in early reading instruction for children. Disclosure Statement No potential conflict of interest was reported by the authors. * Corresponding author: Roman Taraban, 0000-0002-1815-4687 roman.taraban@ttu.edu

In this paper we describe a collaborative, cross-cultural project whose focus is on developing an interactive pedagogy for undergraduate students that delivers a culturally relevant ethical activity, using an internet platform to widen the scope of learning at an international level. The ongoing collaborative project described here is implemented through a website, the Ethical Engineer (https://ethicalengineer.ttu.edu), that provides an open and unique online digital platform for developing a community of students committed to the discussion of ethics from a global perspective. A goal of this project was to gain insights into similarities and differences between Indian, Ukrainian, and USA respondents in their reasoning about a hypothetical ethical dilemma. Two complementary methods of analysis were applied to students’ responses. First, a well-known method for text analysis, Linguistic Inquiry and Word Count (LIWC2022) was used to identify topics and perspectives in students’ essays that distinguished the three groups. These analyses were followed by naïve Bayesian analyses that were used to further identify characteristic conceptual differences between the three ethnic groups. We discuss how the Ethical Engineer platform could be further developed by providing students with immediate substantive feedback to their written responses, in order to extend the learning benefits to students from participation on the website. The analytic methods described here demonstrate ways to gain knowledge of globally-diverse students’ thinking.

Purpose: The aim of this study is to examine how the integration of Emotional Intelligence (EI) and Artificial Intelligence (AI) in leadership can enhance leadership effectiveness and influence the development of future leaders. Design / Method / Approach: The research employs a mixed-methods approach, combining qualitative and quantitative analyses. The study utilizes secondary data sources, including scholarly articles, industry reports, and empirical studies, to analyze the interaction between EI and AI in leadership settings. Findings: The findings reveal that the integration of EI and AI significantly improves decision-making, strategic planning, talent management, and communication within organizations. Leaders who leverage both EI and AI experience higher employee satisfaction, improved team performance, and enhanced organizational outcomes. Theoretical implications: This study contributes to leadership theory by introducing a novel framework that demonstrates the complementary roles of EI and AI in leadership. Practical implications: The research offers practical guidelines for leadership development, emphasizing the need for future leaders to integrate EI and AI skills in order to navigate complex business environments successfully. Originality / Value: The paper provides an original framework for the integration of EI and AI in leadership, offering new insights into how these two elements can work together to improve leadership effectiveness. Research limitations / Future research: Future research should further explore the empirical impact of EI and AI integration in various industries and leadership levels to generalize findings across broader contexts. Paper type: Conceptual.

According to Mayan (2009), being a qualitative researcher entails various activities “It is a pleasure to share life and learning with others to make sense of our reality jointly. Non-experimental qualitative research is not only conducted with people but also performed through people.” According to its many definitions, qualitative research entails significant interpersonal contact. Throughout the process of qualitative research, from strategy to implementation, effective communication is essential. While numerous new qualitative research tools have emerged over the last several decades, those linked to communication technology have emerged as the most important and impactful. Because there is little information available regarding communication technologies in qualitative research, this article aims to produce an overview of the new developing technologies currently being used. For that, the writer has reviewed several pieces of literature on qualitative research. As surfaced from the literature, qualitative research has transformed to new heights using modern techniques. Therefore, qualitative researchers must keep up to date with the latest technological advances to get maximum productivity.

Globally, higher education institutions are increasingly digitising their operations. A bustling and expanding ecosystem of digital platforms in higher education includes online teaching and research, decision-making using learning and business analytics, and building "smart" campuses. Universities do not digitalise on their own but depend on proprietary digital platforms. This study focuses on how digitalisation impacts higher education institutes in Sri Lanka. This study used a methodology based on a qualitative survey, and the research used personal interviews to collect the required data. The research findings disclosed that although all stakeholders within the higher education institutes had to adapt to forced digitalisation, most were not ready to accept it as the main element defining current-day higher education. Higher education institutes, students, and teachers are the mainly affected parties in the forced digitalisation because of Covid-19. The main factors influencing these parties were inadequate digital literacy, poor financial capabilities, and lack of basic requirements for a digitalised learning environment. However, even with minimum resources, learning is underway in almost all higher education institutes, but it resulted in a digital divide, primarily impacting students and their learning abilities.

Purpose: Values and emotions conveyed via stories may show the contrasts and similarities between people's life experiences. Personal experiences must be shared to be understood, which may aid in forming connections and support networks. Design/Method/Approach (only for empirical papers): This study used a secondary research strategy. Findings: Throughout this study, the author makes the case that narrative is critical to effective organisational management and leadership. However, meaningful and creative in developing qualitative research in management, the growth of story methods has resulted in a lack of consistency in the field. Practical implications: Although the literature acknowledges the significant emotional and psychological advantages associated with using storytelling in studies, there has been no evidence of a link between improving human adaptability and using storytelling in research. Throughout this study, the author makes the case that narrative is critical to effective organisational management and leadership. Although essential and creative in developing qualitative management research, the growth of storey methods has resulted in a lack of consistency in the field. Originality/Value: This paper addresses the application of storytelling to organisation management and how storytelling is used as a tool for qualitative research. Research limitations: The research was primarily focused on secondary research and, therefore, could be limited to previous research findings.

Purpose: To explore the feasibility of using the multi-method and mixed-method in research studies by reviewing and comparing both methods. Design / Method / Approach: Using the literature, historical background on mixed-methods and multiple-methods design principles are collected and applied in this paper in a systemtic review format. Findings: The major finding from this research is that incorporating quantitative and qualitative data in the form of a mixed or multi-method study has the potential to dramatically increase the accuracy and quality of any research's analysis and conclusions. Theoretical Implications: The study contributes to the theoretical understanding of how mixed and multi-method studies have distinct and distinguishable characteristics, which encourages researchers to conduct investigations appropriately to accomplish their research aims. The authors of this article introduce different designs (e.g., embedded design, explanatory design) which combine the mixed-method with the multi-method approach. Practical Implications: This study concludes that both mixed-methods and multi-methods are reliable and have unique characteristics. Increasing validity (i.e., external validity, generalizability) and reliability of study findings. Originality / Value: The authors of this paper present a taxonomy how to combine mixed-methods with multi-methods. Research Limitations / Future Research: Research should be directed at defining the appropriate design for the multi method to help researchers conduct multi method studies scientifically.