Cases On Academic Program Redesign For Greater Racial And Social Justice

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.

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.

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.

In the current state of global upheaval with the rallying call for human rights and justice for people who have been historically marginalized, the curriculum must be decolonized to ensure that children identified as marginalized and at risk are receiving an equitable education that is based on respect and acceptance of their cultural heritage as well as their human rights. The Struggle for Justice, Equity, and Peace in the Global Classroom investigates the global classroom as a site of transformation for educators who dare to take action to replace oppressive and repressive practices with emancipatory strategies grounded in critical consciousness. The book’s contents convey the pluralism that defines America and the world, investigating how educators can re-envision the future through an engagement with the past and an understanding of how the historical continuities of racial intolerance and social injustice continue to impact classroom teaching and the outcomes of children whose lives are shaped by the aftermath of slavery and oppression. Covering topics such as colonial education, inclusive classrooms, and student agency, this premier reference source is an excellent resource for teachers, school administrators, literary scholars, community activists, teacher educators, preservice teachers, researchers, and academicians.

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.

The advent of Web 2.0 has led to a rebalancing of power between the customer and the company through the consumer's voice about the brand and referral behavior via electronic word of mouth. Customer opinions within the virtual brand communities can have a vast impact on a company’s sales and image. It is crucial for companies to promote and use customer contributions in order to enhance their brand image, retain customers, and develop their marketing strategy. Social Customer Relationship Management (Social-CRM) in the Era of Web 4.0 provides relevant theoretical frameworks and the latest results of empirical research on the strategic role of marketing 2.0, digital customer experience, and social customer relationship management on social networks. Covering a range of topics such as disruptive marketing, artificial intelligence, and customer behavior, this reference work is ideal for marketers, IT practitioners, CRM specialists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.