Faculty and students confront persistent racial, economic, and social inequities in higher education locally, nationally, and globally. To counter these inequities, there has been a recent focus on universities providing an inclusive curriculum that serves the needs of students from a wide range of backgrounds. Inclusive and equitable courses and instruction are crucial in today’s world as calls for racial and social justice grow, particularly in higher education. Universities and instructors must take action and make changes to best serve their students. Cases on Academic Program Redesign for Greater Racial and Social Justice provides an equity-oriented practical guide for those in higher education who are engaged in the work of curricular reform or program development. It also explores practices and approaches to curriculum development that consider program quality and equitable outcomes as mutually beneficial and necessary outcomes. Covering a range of topics such as antiracism and mindful hiring, it is ideal for teachers, instructional designers, curricula developers, administrators, academics, professors, educators, researchers, those working in higher education, and students.

A level of decision making is concerned with deciding the organization’s objectives, resources, and policies. A significant problem at this decision-making level is predicting the organization’s future and its environment as well as matching the organization’s characteristics to that environment. This process generally involves technology and knowledge from the market and clients. In the current era, the implementation of marketing information systems supported with AI techniques is crucial to being a unique opportunity to leverage marketing strategies with cutting-edge technologies. Global Perspectives on the Strategic Role of Marketing Information Systems communicates the recent advances in marketing information systems. Covering topics such as digital entrepreneurship, international business, and micro and small enterprises, this premier reference source is a cutting-edge resource for marketers, entrepreneurs, business leaders and managers, IT managers, students and educators of higher education, librarians, researchers, and academicians.

Hispanic Leadership in Higher Education addresses a persistent gap that inhibits Hispanic professionals from reaching leadership positions within academia. Led by Dr. Elsa Villarreal, Dr. Jose Parra, Dr. Melissa Arrambide, Dr. LaVelle Hendricks, and Dr. Dimitra Smith, a panel of distinguished scholars presents this book as a guide for catalyzing change. The volume delves into the experiences and strategies that propel Hispanic professionals forward, dissecting policies in Hispanic-serving and predominantly White institutions. It not only uncovers barriers but also provides practical solutions for recruitment and leadership development, reshaping the academic landscape for Hispanics. Geared toward faculty, administrators, students, researchers, and academicians, the book redefines scholarship, advocacy, and practical implementation. Readers gain insights into the challenges faced by Hispanics in academia, fostering inclusivity and reshaping the academic landscape into one where Hispanic leaders can flourish. The narrative promotes resilience, aspiration, and change, enriching higher education immeasurably.

Self-directed learning (SDL) is considered a core concept in problem-based learning (PBL) and student-centered learning. More importantly, the current face-to-face model of curriculum implementation faces many challenges that seem to question its dominance over other models. The violent nature of the COVID-19 pandemic has again vindicated SDL practitioners and research enthusiasts to continue seeking solutions that will enhance skills to cope in a rapidly changing technological, globalized world. However, the higher education sector is challenged when promoting SDL due to a slow pace of digital integration since the education system is not fully transformed. This has necessitated an urgent need for global discourse on how universities globally are implementing SDL strategies to enhance the quality of curriculum delivery. Advancing Self-Directed Learning in Higher Education provides insight into various strategic approaches that could be adopted for the successful implementation of SDL in higher education. It is written for professionals who want to improve their understanding of how to improve student teaching and learning and the quality of curriculum implementation in higher education. In this realm, this book provides ideas to its readers about the approaches pertaining to strategy and innovative measures, practical implementations, and tools in the field of curriculum and SDL. Covering topics such as educational technology, intentional education practice theory, and student experience, this premier reference source is an essential resource for teachers, policymakers, lecturers, research scholars, students of higher education, administrators, librarians, academicians, and researchers.

The ongoing struggle to increase literacy within our population is one of the defining goals of education. Educational environments continue to incorporate more and more technology into their cache of necessary tools as the lives of their students depend on these devices at a growing rate. Artificial intelligence (AI) and literacy education are bound to face a convergence that will be a transformative force. AI Approaches to Literacy in Higher Education delves into the synergies between advanced technology and the cultivation of literacy skills, illuminating innovative methodologies and applications that redefine educational paradigms. This book is a comprehensive analysis of AI's potential to elevate literacy among higher education students. The book strategically integrates research studies, case analyses, and theoretical perspectives to construct a nuanced understanding of AI's role in shaping literacy outcomes. This work uncovers the intricate interplay between technology and academic literacy by utilizing a tapestry of AI-driven tools, strategies, and techniques. Educators, researchers, instructional designers, and higher education professionals will find this book invaluable.

In the realm of education, the challenge lies in effectively utilizing Artificial Intelligence to transform medical learning. Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices, authored by Muhammad Shahzad Aslam and Saima Nisar, offers insights into this issue. With expertise in Medical and Health Education, and Health Informatics, the authors explore AI's potential in reshaping medical education. Traditional medical education struggles to keep up with expanding knowledge and evolving medical science, leaving educators and students overwhelmed by vast information. Ethical concerns, such as plagiarism, further complicate matters. A solution is needed that blends technology with effective teaching. Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices proposes such a solution. By harnessing ChatGPT's capabilities as an AI chatbot, the book suggests a self-guided learning tool. Backed by case studies, the authors demonstrate how ChatGPT can become a personalized tutor, helping students grasp complex medical concepts at their own pace. The book also delves into the ethical aspects of AI integration, ensuring responsible use in academia.

There is a clear tendency to consider the errors committed by learners in the process of learning a foreign language not as a negative aspect but as a natural process in the development of their language skills. In the past, teachers and researchers pondered these errors as something unfavorable, something to prevent from occurring at all costs. In order to regulate this appearance of errors, many researchers in the field of foreign language technical teaching have started to study and track the errors made by these students. Knowing the most common types of errors is an important and necessary step to inform teachers about where to direct their efforts regarding the most problematic areas students face while producing their technical writing assignments in a foreign language. Cases on Error Analysis in Foreign Language Technical Writing provides relevant theoretical foundations and the latest empirical research findings in the area of error analysis in foreign language technical writing. This book also summarizes the experience of teaching a foreign language for professional purposes in various fields of higher education. Covering topics such as error analysis, lexical skills, and writing outputs, this casebook is an essential resource for preservice teachers, educators, administrators, librarians, researchers, and academicians.