Global journal of Business and Integral Security

ROLES OF ARTIFICIAL INTELLIGENCE IN EDUCATION FOR SUSTAINABLE DEVELOPMENT IN ASIA-PACIFIC CONTEXTS

Masatoshi Hara — 2024-04-18

This study explores the intersection of artificial intelligence (AI) and sustainable educational
development in Asian contexts, proposing a framework to delineate the multifaceted roles of AI in
fostering educational advancement. By embracing AI innovations while upholding principles of equity,
inclusivity, and ethical governance, Asian nations can forge a more resilient and equitable
educational landscape. The suggested framework encompasses inputs, outputs, and AI converters,
prioritizing educational access and completion, particularly in low- and lower-middle-income
countries, and emphasizing higher education expansion and research in higher-income nations.
Outputs include enhanced employability, job creation, and productivity, whereas concerns revolve
around overreliance on technology, bias, digital divide, and job displacement. Policy implications
highlight the need for awareness campaigns, policy reforms, infrastructure investment, and
partnerships to maximize AI benefits while mitigating potential challenges. However, the study’s
conceptual framework lacks a specific methodology, warranting the development of robust research
methods tailored to investigate AI’s roles in promoting education for sustainable development. This
initial study serves as a foundation for future research endeavors in this burgeoning field.

NAVIGATING THE INTERSECTION OF AI IN EDUCATION: DIFFERENTIATED ASSESSMENTS AS A PEDAGOGICAL REFORM

Mary Cruz — 2024-04-18

The 21st century with the intersection of AI and Education offers great opportunities to educators and learners.
This changing scenario can be navigated with new and varied pedagogical reforms. Technology 4.0 should bring out fast paced educational reforms. The research primarily focussed on a differentiated assessment system so that the creative and critical thinking can be evaluated. This assessment was learner centric rather than teacher centric; it explored a novel method of quantifying skill progress rather than route memorisation. This research aimed to develop creative thinking in graduates by implementing a differentiated assessment pattern based on the ACER creative thinking framework. The age of rapid automation and AI poses a threat to low-skilled labour; therefore educational institutions must focus more on developing skills that machines cannot replicate. The exploratory case study over a longitudinal period of six months concluded that a concept called as flip question paper, in the form of science fiction writing and white paper projects develop higher-order thinking skills in graduate learners. Though the variance in strengths of learners is a well-established fact most assessments sill follow a standardised pattern rather than differentiated . This study was also able to quantify data from the assessment so that transcripts can have creative and critical thinking mapped along with domain knowledge

UNDERSTANDING THE POTENTIAL IMPACT OF AI-POWERED CLASSROOM MANAGEMENT ON STUDENT ENGAGMENT, AND OVERALL LEARNING OUTCOMES

JVS Praveen — 2024-04-18

Integrating artificial intelligence (AI) technology into classroom management systems has the potential to revolutionize student engagement and improve overall learning outcomes. This article explores the multifaceted impact of AI-based classroom management on various aspects of education, including student engagement, academic achievement, and teacher effectiveness. By analyzing recent research findings and case studies, we examine how AI-based tools and platforms can personalize learning experiences, identifying student learning patterns, providing timely feedback and facilitating a collaborative learning environment. It also discuss ethical considerations and potential challenges associated with applying AI in education, such as data privacy concerns and the digital divide. Ultimately, this article aims to provide insight into the transformative potential of AI-based classroom management and its implications for the future of education.

HOW PROFESSIONAL SERVICES IN SOFTWARE AND SAAS COMPANIES CAN INFLUENCE PURCHASE INTENTIONALITY OF CUSTOMERS VIA HIGH QUALITY OF SERVICE: A PRAGMATIC FRAMEWORK

Jose Bronet — 2024-04-18

Understanding how Professional Services can accelerate the Revenue of the company, including the
Revenue from software licenses, is one of the most impactful and relevant challenges that leaders face.
Service Quality has been proven to be a very powerful mechanism for influencing purchase and repurchase
intentionality and the most common models for Service Quality have been existing for decades.
Recent research on the impact of the complexity of the measuring mechanisms of these models highlight
how this complexity can negatively affect the quality of the data gathered, compromising the
effectiveness of the insight revealed by these models.
Today, Professional Services leaders need simpler models that provide accurate data so that they can
make the right decisions that accelerate the Revenue of their companies.
This research reveals a new simplified and accurate model, SIMPSERVPERF, that Professional
Services leaders can use to transform their organisation into a machine capable of significantly
influencing the Revenue from both from Professional Services itself and software licenses.

BLENDING EDUCATION AND ARTIFICIAL INTELLIGENCE

Anu Khanchandani — 2024-04-18

This article explores the transformative impact of AI in education, focusing on the shift towards data-driven assessments and personalized learning. AI's analytical power facilitates a deeper understanding of student performance, refining the accuracy and efficiency of evaluations. It also predicts challenges to proactively tailor support, ensuring a more adaptive learning experience. Moreover, AI-driven chatbots using NLP enhance student support, available 24/7, reflecting a democratized access to information. The article further discusses personalized learning, where AI tailors educational pathways and goals to individual student needs, and the role of AI in matching student skillsets with internships, providing bespoke career guidance. Additionally, it delves into the use of AR and VR in creating interactive teaching experiences and AI's capability in content generation, highlighting the shift towards a more engaging, accessible, and customized learning experience. Overall, AI promises to make education more adaptable, inclusive, and aligned with the aspirations and needs of students.

THE NEXUS BETWEEN AI AND EDUCATION

Annemari Eloff — 2024-04-18

The qualitative research paper explores the nexus between Artificial Intelligence (AI) and education through a literature review and a case study. The literature review provides a theoretical understanding of the nexus, and the case study provides an understanding of the developing country`s participants perspective. Triangulation was used to incorporate and relate the theory from the literature review with the case study`s semi-structured interview, which was analysed through thematic analysis.

MACHINE AND DEEP LEARNING MODELING OF UNIVERSITY BUSINESS INCUBATORS(UBI) DYNAMIC CAPABILITIES WITH THEIR ENTREPRENEURIAL ACTIVITIES AND VALUE CREATION : A MIXED METHOD STUDY

Ademola Taiwo — 2024-04-18

This study investigates how UniversityBusiness Incubators(UBIs) align their capabilities (substantive and dynamic) to their entrepreneurial activities in creating value within the ecosystem. The study is based on an aggregation of a doctoral research project and a research review article on UBIs capabilities.This study further develops a conceptual framework that integrates UBI based capabilities studies with their entrepreneurial activities and a statistical model with machine and deep learning in predicting how UBIs can align their innovation and market strategies with their capabilities in fostering startups and incubators survivability, sustainability and developing a high level of adaptation to challenges and crisis during the process of incubation. This study adopts a sequential exploratory mixed method approach based on exploratory and predictive research objective with a pragmatic paradigm or worldview.The study contributes to UBI study by developing an integrated framework that encapsulates UBIs dynamic capabilities, venture survivability and sustainability with UBIs socio-human structures and relationships with entrepreneurial activities studies which had been a major gap in literatures. This study further enhances the adoption of mixed method research design in UBI studies by combining the benefits of qualitative exploratory cases (studies) with statistical predictive modeling. Based on selected cases using purposive and nested sampling design and scheme, this research study would further apply the conceptual framework to UBIs in different regional contexts.

A MIXED METHOD GROUNDED THEORY(MM-GT) WITH INTELLIGENT GIS AND MACHINE LEARNING APPROACH TO UNIVERSITY BASED BIOTECH BUSINESS INCUBATORS(UBBI) CLUSTERS: A STRONG STRUCTURATION AND SPATIAL AGGLOMERATION VIEW

Ademola Taiwo — 2024-04-18

This study investigates and integrates University Based Biotech Business Incubators(UBBI) and tech transfer clusters based on several cases from different Regional Innovation System(RIS).The study further develops a conceptual framework based on the ensuing themes, patterns and categories with grounded theory for UBBI Clusters and tech transfer spinoffs, their embedded Regional Innovation System (RIS) and UBBI roles. The study also includes an assessment on how UBBIs clusters are formed, Universities roles and perspectives, knowledge flow and innovation ecosystem development, UBBI regional transformation or changes and their substantive and Dynamic Capabilities. This study also explores how these UBBIs absorb the attributes and elements within their ecosystem to facilitate research and product development and the specific capabilities these UBBIs have developed overtime in their value chain based on the Biotech Cluster’s life cycle.
Based on a Mixed Method Grounded Theory Approach(MM-GT) with Intelligent GIS and an application of Strong structuration theory(SST), this study examines the impact of external conditions on UBBI clusters’ structures and how the actors respond and build resilience to disruptions and bottlenecks such as influence of regulation, policies development on the UBBI’s Cluster and impact of the social structure and active agents or actors on the ecosystem. Using the cases from different RIS, this study further uses ensuing grounded theory to develop a model based for Intelligent Geography Information System(GIS) with Machine and Deep Learning (ML, DL with Generative AI) that could be used for the simulation of UBBI’s spatial agglomeration and clusters formation with their dynamic capabilities.

EUROPEAN SPACE AGENCY BUSINESS INCUBATION CENTERS’(ESABIC) DYNAMIC CAPABILITIES, ENTREPRENEURSHIP ACTIVITIES AND VALUE CREATION WITH STRUCTURATION THEORY APPLICATION:A MIXED METHOD STUDY WITH MACHINE LEARNING MODELING

Ademola Taiwo — 2024-04-18

This study investigates the specific capabilities of University Based European Space Business Incubators Centers(ESABIC) that enhance entrepreneurial activities,value creation and the regional influence and impact on them.
Using identical and purposive sampling schemes and designs, specific ESABICs (substantive and dynamic capabilities) are identified and the impact of external conditions such as regulations, constraints and challenges on the ESABICs socio human structures are also investigated. The study is designed based on a Sequential Exploratory Mixed Method Design. Qualitative thematic coding was applied in the first stage to extant studies in Space Based literatures. Themes, patterns, study concepts and pre-conceptual framework were identified and designed. Using the outputs from the first stage, quantitative modeling from survey will be further used to develop measurement metrics for ESABICs and also predicting the relative effect of the dynamic capabilities on value creation.Comparisms will also be made with traditional UBIs.This study contributes to research on dynamic capabilities and entrepreneurship ecosystem of UBIs by using a multi-dimensional approach to dynamic capabilities assessment. It also enhances the application of Mixed method research methodology in UBI studies by highlighting the procedural steps for data integration and the final results and reports will be made using Mixed Method Standard Practices such as GRAMMS.

INTERSECTION OF EDUCATION AND ARTIFICIAL INTELLIGENCE

Selvakumaran Mannappan — 2024-04-18

Artificial intelligence is certainly changing the world and like many fields in the world, education field is also impacted positively by this change. But there are aspects which needs to be carefully monitored and controlled so that the world can understand this change well and transition to a new world where the learning can fundamentally be different from what we all have gone through in our life and can be a lot more productive and constructive.