Hesham Allam

• PhD
• Faculty Member at Ball State University

Bringing artificial intelligence (AI) and living intelligence into higher education has the potential to completely reshape teaching, learning, and administrative processes. Living intelligence is not just about using AI—it is about creating a dynamic partnership between human thinking and AI capabilities. This collaboration allows for continuous a...

This article explores the profound potential of accelerationism to revolutionize higher education, emphasizing its transformative capacity in fostering a dynamic, innovative, and responsive academic ecosystem. The study begins by tracing accelerationism’s philosophical and socio-political roots, advocating for the strategic and expedited use of tec...

Integrating artificial intelligence (AI) into pharmacy operations and drug discovery represents a groundbreaking milestone in healthcare, offering unparalleled opportunities to revolutionize medication management, accelerate drug development, and deliver truly personalized patient care. This review examines the pivotal impact of AI in critical doma...

The automated classification of texts into predefined categories has become increasingly prominent, driven by the exponential growth of digital documents and the demand for efficient organization. This paper serves as an in-depth survey of text classification and machine learning, consolidating diverse aspects of the field into a single, comprehens...

As suicide rates increase globally, there is a growing need for effective, data-driven methods in mental health monitoring. This study leverages advanced artificial intelligence (AI), particularly natural language processing (NLP) and machine learning (ML), to identify suicidal ideation from Twitter data. A predictive model was developed to process...

The integration of artificial intelligence (AI) and the emerging concept of living intelligence in higher education is transforming the educational landscape by improving teaching, learning, and administrative processes. Living intelligence represents a dynamic partnership between human cognition and AI, emphasizing adaptability, co-evolution, and...

The integration of artificial intelligence (AI) and the emerging concept of living intelligence in higher education is transforming the educational landscape by improving teaching, learning, and administrative processes. Living intelligence represents a dynamic partnership between human cognition and AI, emphasizing adaptability, co-evolution, and...

As global suicide rates continue to rise, the demand for innovative, data-driven solutions in mental health surveillance has never been more urgent. This study harnesses the power of advanced artificial intelligence (AI) and machine learning techniques to detect suicidal ideation from Twitter data, presenting a groundbreaking approach to suicide pr...

The automated classification of texts into predefined categories has become increasingly prominent, driven by the exponential growth of digital documents and the demand for efficient organization. This paper serves as an in-depth survey of text classification and machine learning, consolidating diverse aspects of the field into a single, comprehens...

Small and midsized enterprises (SMEs) face challenges adapting technologies into their processes. Using a multiple-case analysis from four diverse industries, this study identifies key challenges and offers recommendations for effective digital transformation for SMEs in the Midwest.

This work-in-progress research aims utilizing Artificial Intelligence (AI) and Machine Learning (ML) technologies in education to create a dynamic, data-driven approach to enhancing student learning outcomes. AI has already significantly transformed multiple industries, and the authors are set to explore its potential within education, particularly...

The Fourth Industrial Revolution introduced innovations and technologies, notably Artificial Intelligence (AI), which is poised to significantly impact various facets of business, education, and society. This ongoing research aims to explore AI's socioeconomic implications.

Although AI is the new trends for many organizations and businesses, there are many concerns regarding implementing it in companies some of these concerns is related to job replacement, ethical issues and employees' resistance. To address these concerns, this study engaged business leaders and executives to gauge their perspectives on the potential...

Introduction In recent years, educational institutions worldwide have increasingly embraced technology as a means of enhancing the learning experience and adapting to the demands of the modern era. This trend toward digital transformation has become even more pronounced in the wake of the COVID-19 pandemic, which necessitated a rapid shift to remot...

Social networking websites and applications are increasingly becoming significant cultural phenomena. However, the motivation driving individuals to utilize these platforms, particularly in the Middle East, remains unclear. While numerous studies have explored technology adoption, limited research has investigated social media usage in the UAE. The...

This study analyzes the impact of national Artificial Intelligence (AI) strategies and policies on higher education institutions. The comparative analysis includes an exhaustive review of the AI regulatory framework of top leading economies, including the U.S., China, Japan, Germany, the U.K., France, South Korea, the U.A.E., Canada, Israel, Nether...

Artificial intelligence (AI) is having an impact on every aspect of contemporary life. Artificial intelligence (AI) is being increasingly widely used in an effort to imitate human cognitive abilities via applications that make people's lives simpler and more efficient. Artificial intelligence is also being used in the education industry to enhance...

Introduction This study explores the effects of Artificial Intelligence (AI) chatbots, with a particular focus on OpenAI’s ChatGPT, on Higher Education Institutions (HEIs). With the rapid advancement of AI, understanding its implications in the educational sector becomes paramount. Methods Utilizing databases like PubMed, IEEE Xplore, and Google S...

Introducción: Este estudio explora los efectos de los chatbots de Inteligencia Artificial (IA), con un enfoque particular en ChatGPT de OpenAI, en las Instituciones de Educación Superior (IES). Con el rápido avance de la IA, comprender sus implicaciones en el sector educativo se vuelve de suma importancia. Métodos: Utilizando bases de datos como...

This paper aims to investigate the impact of innovation on three macroeconomic indicators: GDP, self-employment, and foreign direct investment (FDI). The study analyses a sample of 120 countries using the Global Innovation Index (GII) and its constituent sub-indices and pillars, which provide a holistic evaluation of national innovation. Gross dome...

Artificial intelligence (AI) is a popular concept for modernizing and automating traditional, time-consuming tasks with smart technology. AI can be applied to a wide range of areas, such as healthcare, finance, law, and education. AI has the potential to revolutionize the way we learn by making education more interactive and engaging. One possible...

This study analyzes the explanatory power of AI text-based emotion ID metrics on the hourly price change of 12 major crypto-assets. Five GARCH models were tested, with the results providing evidence of a positive relationship between the number of mentions of a crypto-asset name in searches and its price change for 10/12 assets. AI text-based emoti...

The global Automotive Industry generated revenue worth 2.5 trillion USD in 2020 and is expected to reach 2.8 trillion USD in 2022. In this, the contribution from the Automotive Aftermarket sector (AA) was 392.35 billion USD and it is predicted to cross 525 billion USD by 2028 (Research and Markets, 2021). The AA of Western countries and the Asia Pa...

The phenomenon of the use of social media applications is rapidly increasing among the public and is on its way to becoming a social phenomenon. Why people use social media platforms in Arab countries is still an unanswered question. Although numerous researches have been conducted on technology acceptance, few studies were conducted on users' adop...

It has been demonstrated that tools developed by information technology, such as Learning Management Systems (LMS), may considerably improve the performance and productivity of students in the classroom. As a result, several institutions of higher learning have implemented similar systems. The fact that LMS adoption rates in university education ar...

The purpose of this paper is to investigate factors influencing employees’ knowledge-sharing behavior on social tagging supported systems. Using the strong theoretical background of the well-known technology acceptance model (TAM), this paper proposes and empirically validates a model that fits the social and technical nature of social tagging tool...

Participation in and adding content to social tagging tools is important for these tools to achieve their purpose of classifying and organizing information. Users of social tagging tools are driven to participate and add tags by extrinsic and intrinsic motivation. Extrinsic motivation is dominating research as a main predictor of why users use info...

IOT is an evolving technology and expected to bring the next phase of revolution in it industry by connecting any device anywhere by any available means. The potential of IOT applications is abundant allowing users to have real-time feeds from surrounding and distant objects helping in making intelligent decisions. Despite the potential benefits of...

Although numerous studies have examined the crowdsourcing phenomenon, little consensus exists regarding the classification of distinct types of activities within crowdsourcing. In this study, we identify and classify 12 crowdsourcing initiatives that comprise the key categories of crowdsourcing: Crowdpedia , Fansourcing , Crowdnetworking , Crowdsha...

In this article, we propose a three dimensional hedonic model for intrinsic motivation that has the potential to enhance users acceptance to online social tagging tools and social media in general. Our multi-layered model includes curiosity, explorability, and enjoyment as potential predictors for users' attitude and intention to use online social...

Based on a thorough literature review of social tagging and on technology acceptance models, we developed and empirically validated a motivational model to predict users' acceptance to add and share tagging content. Four factors successfully predicted users' intention to add and share metadata tagging content. Unlike previous studies on virtual com...

While recent progress has been made in understanding the structure and dynamics of social tagging systems, we know little about the users' underlying motivations for tagging, and how these motivations influence the resulting use of tagging systems. In this article, we propose and empirically validate a conceptual model of key factors that affect us...

While recent progress has been made in understanding the structure and dynamics of social tagging systems, we know little about the users' underlying motivations for tagging, and how these motivations influence the resulting use of tagging systems. In this article, we propose and empirically validate a conceptual model of key factors that affect us...

Exploratory search offers users the privilege to take command of the search process by browsing, selecting, and navigating through the Web to locate targeted information resources. We introduce hedonic browsing as an enhancement for exploratory search. In this article, we propose and empirically validate a hedonic browsing model using social taggin...

p align="left"> The purpose of this paper is to give an overview of the social tagging phenomenon, including how it evolved and the debate surrounding its benefits and limitations. Further, social tagging's potential as a new tool for knowledge organization and resources discovery will be considered. Finally, some questions concerning social tagg...

This paper proposes a conceptual model of the key factors that drive employees' effective participation with social tagging systems within the corporate environment. The proposed model is based on integrating and applying existing findings from various disciplines in a novel conceptualization to explain the motivations of participants in organizati...