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The growing significance of social media in research demands new ethical standards and practices. Although a substantial body of literature on social media ethics exists, studies on the ethics of conducting research using social media are scarce. The emergence of new evidence sources, like social media, requires innovative methods and renewed consideration of research ethics. Therefore, we pose the following question: What are the defining characteristics of ethics papers on social media research? Following a modified version of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, we analyzed 34 publications based on ten variables: author gender, publication year, region, academic discipline, type, design, methodology, social media platform in focus, positionality statement, and ethical issues. Our findings suggest contemporary social media research ethics primarily reflects the ethical ideals of the Global North, with limited representation from the Global South. Women authors have published more papers than men authors. Previous studies have prioritized ethical concerns such as privacy, informed consent, and anonymity while overlooking researchers' risks and the ethics of social media sites. We particularly emphasized the lack of researchers' positionality statements in research. Our findings will pave the way to understanding social media ethics better, especially with the rapid growth of social media research in global scholarship.

Publishing scientific articles is an expedition of tenacious efforts with patience and conscientious decision-making; however, even with such careful consideration, researchers may overlook the dubious activities of clandestine organizations or remain oblivious to the unethical aspects of publishing. Paper mills are the latest impediment to academic publishing's integrity. The increasing number of paper mill publications damages the credibility of genuine journals and jeopardizes academic integrity, adding to the vulnerability of research. This paper deals with the tactics, activity, detection, impact, and solving the menace of such fraudulent practices. This paper is a summary of existing literature and analysis that aims to increase awareness of fraudulent practices like paper mills among researchers and academicians. [ABSTRACT FROM AUTHOR]

This study delves into the opportunities and challenges associated with the deployment of AI tools in the education sector. It systematically explores the potential benefits and risks inherent in utilizing these tools while specifically addressing the complexities of identifying and preventing academic dishonesty. Recognizing the ethical dimensions, the paper further outlines strategies that educational institutions can adopt to ensure the ethical and responsible use of AI tools. Emphasizing a proactive stance, the paper suggests that by implementing these strategies, schools can harness the benefits of AI tools while mitigating the risks associated with potential misuse. As the adoption of AI tools in education continues to expand, all stakeholders must stay abreast of the latest developments in the field. This knowledge equips educators to navigate the opportunities and challenges posed by AI tools, fostering a learning environment that is both secure and conducive to empowering students to realize their full potential.

Educational disparities are one of the most essential issues surrounding education and equity. Previous research includes many empirical studies which have been conducted to eliminate educational disparities. However, the normative question "Why do educational disparities matter?" has not been carefully examined in empirical studies on educational disparities. This question can be answered based on the value of fairness. But what is fairness? Is it enough if a fair educational system is realized? Based on the above concerns, this paper examines the value of fairness, which is a normative assumption of studies on educational disparities. The paper confirms that the value of fairness behind the argument "educational disparities should be corrected" can be clarified and justified by luck egalitarianism, and clarifies the problems associated with pursuing fairness by examining Elizabeth Anderson's critique of luck egalitarianism. Specifically, the paper focuses on the harshness objection and the humiliation objection. It shows that, even if fairness in education is achieved, it may not result in an ideal education for all, because it may leave some children in a harsh situation and humiliate them in the process of providing compensation through redistribution. The paper then discusses three values that should be added to fairness: fresh start, sufficiency, and respect. After that, it discusses why these values are important and what issues should be considered in future empirical research on educational disparities. The paper also presents suggestions toward examining the problems of meritocracy.

A scientist reviewing a study spotted figures that looked identical to his own, leading to a frustrating campaign to prevent its publication. [ABSTRACT FROM AUTHOR]

In the context of education, the issues of integrating artificial intelligence (AI) into teaching and maintaining academic integrity in students' use of AI are particularly relevant. This paper empirically examined the issue of ChatGPT usage for writing homework from the perspectives of students and professors. Study research methods included both quantitative and qualitative approaches. In Study 1, an anonymous questionnaire was administered to 350 Croatian students, users of ChatGPT, to investigate their perceptions, attitudes, habits, and intentions regarding ChatGPT usage for homework assignments. In Study 2, twelve faculty members were tested on their accuracy of distinguishing between original students' papers and ChatGPT-generated papers. For this purpose, 25 different versions of papers for 8 different courses were prepared. The results of the students' survey showed that most students still do not use ChatGPT regularly and have neutral attitudes about its usefulness, ease of use, risks, and intentions for future use. In addition, they were moderately concerned about ethical issues around its usage. Differences across gender and field of study were found. Professors, on the other hand, reported having average self-efficacy in appraising authorship, which is in line with their low average accuracy of 53%. Accuracy in distinguishing was lowest when ChatGPT was instructed to write a paper as a student. These results strongly suggest the necessity for clear guidelines, plagiarism detection tools, and educational initiatives to promote ethical use of AI technology.

This position paper explores the current state of artificial intelligence (AI) tools, educator support of and opposition to AI tools in teaching and learning, and the ethical and social implications of AI tools in higher education. As technology continuously develops in the educational community, educators must have a voice in how AI exists in the classroom. This paper addresses support of and opposition to AI implementation and the need for more studies on teacher and student experiences with AI tools, such as personalized learning platforms and intelligent tutoring systems. The practical applications of AI in future studies should explore how to best implement AI tools while advancing knowledge and maintaining academic integrity as students and faculty become more technologically literate citizens. Studies in educational technology have acknowledged that social and ethical implications arise from the advance of AI. Programming diverse practices into AI applications impact the data output when generating new content. Therefore, this position paper acknowledges the need for being inclusive in framing technology and AI tools across less developed countries, emerging economies, and developed countries using varying theories, such as situated learning theory, technology affordances and constraints theory, decolonial theory, and intersectionality.

This paper addresses the pedagogical implications of incorporating ChatGPT into the college English classroom specifically and, more broadly, into any college course with a focus on writing and research. Historically, advances in technology in the college classroom have characteristically promoted two juxtaposed reactions: relief and anxiety. Students customarily exhibit relief that a new technology will lessen their workload and embrace it wholeheartedly. Conversely, faculty often experience anxiety at how some newfangled computerized application will impact student learning. This juxtaposition creates barriers to an effective integration of new technology into the classroom. What students view as a cool new tool faculty see as a platform that promotes student slacking or, at worst, cheating. Such is the case with ChatGPT. I review generally the ethics of using ChatGPT as a classroom tool to conclude that the potential for advancing educational equity among students outweighs any potential for misuse of this quickly evolving technology. Relying upon established principles of classroom instruction as well as significant trial-and-error experience, I propose a pedagogical framework that allows for limited application of ChatGPT in selected scaffolded assignments. I further offer specific lesson plans to show how incorporation of ChatGPT into the college composition classroom can align with universally accepted goals, objectives, and student learning targets in both freshman composition and traditional literature courses, all while removing barriers and promoting equity. This paper provides faculty who are not already well-versed in ChatGPT with information to evaluate its efficacy for their courses and a flexible framework to include into their pedagogy easily modifiable ChatGPT-based lesson plans that present challenging yet fun scaffolded assignments for any writing or research curriculum.

In this practice-based pedagogical paper, we, the university faculty of Education, Food and Nutrition, Sociology, and History in the U.S., describe how we started a Reflective Practice Teaching Circle at our institution for interdisciplinary dialogue about the effective use of social media (SM) for teaching and learning. Our discussions led to the design of the Social Media Entry Model that educators can use for decision-making. We begin this paper with a brief synthesis of scholarly literature describing students' SM use and how higher education faculty use SM to support 21st-century skills development. Next, we describe the institutional, individual, and pedagogical barriers that prevent faculty from embracing SM as a teaching and learning tool. Based on our shared vision and praxis, we present the Social Media Entry Model and describe how educators can use it when deciding how to integrate SM into the formal or informal curriculum. Through our narratives, we illustrate how we use a variety of SM platforms and different entry points in the model to enhance students' 21st-century skills. We also discuss the legal and ethical issues that educators must consider to ensure that university students use SM in a socially responsible manner.

This scoping review explores the ethical challenges of using ChatGPT in higher education. By reviewing recent academic articles in English, Chinese, and Japanese, we aimed to provide a deep dive review and identify gaps in the literature. Drawing on Arksey & O'Malley's (2005) scoping review framework, we defined search terms and identified relevant publications from four databases in the three target languages. The research results showed that the majority of the papers were discussion papers, but there was some early empirical work. The ethical issues highlighted in these works mainly concern academic integrity, assessment issues, and data protection. Given the rapid deployment of generative artificial intelligence, it is imperative for educators to conduct more empirical studies to develop sound ethical policies for its use.

This paper examines the Confucian concept of learning, or xue ([character omitted]), from the perspective of ecological humanism. Through a comparative interpretation, this paper attempts to disclose the significance of Confucian xue conceived as a practice of aesthetic appreciation and creativity, emphasizing in particular its function within an eco-centric worldview. The author reviews the relevant concepts of ecological humanism as expressed in the ideas of John Dewey and Thomas Alexander, then applies these as a theoretical framework for interpreting xue and its related concepts and practices as they appear in the Confucian text the Lunyu ([characters omitted] ). It is argued that xue is a process of developing and expressing virtuosity and artistry in the "arts of life," and that its practice was understood as a direct participation in the creative development of nature. The significance of such a concept of learning for contemporary educational philosophy is discussed in conclusion.

The rapid advancement of artificial intelligence technologies, exemplified by systems including Open AI's ChatGPT, Microsoft's Bing AI, and Google's Bard (now Gemini 1.5Pro), present both challenges and opportunities for the academic world. Higher education institutions are at the forefront of preparing students for this evolving landscape. This paper examines the current state of AI education in universities, highlighting current obstacles and proposing avenues of exploration for researchers. This paper recommends a holistic approach to AI integration across disciplines, fostering industry collaborations and emphasizing the ethical and social implications of AI. Higher education institutions are positioned to shape an educational environment attuned to the twenty-first century, preparing students to be informed and ethical contributors in the AI-driven world.

ICT advancements have enabled more online activities, resulting in several cyberethical behaviours. The literature documents the prevalence of plagiarism and online fraud, among others. While behaviour has been explained by several theories, as scholarship and research advance, frameworks are modified to include more constructs. This paper proposes a developed framework for studying cyberethical behaviour in North Central Nigeria, with a focus on exploring the factors that influence individuals' attitudes, awareness, and perception of cyberethics. The framework is based on a modified reasoned action approach model and incorporates key constructs such as attitude, subjective norm, perceived behavioral control, and awareness of cyber ethics. An adapted questionnaire was used as an instrument for collecting quantitative data. This study used multistage sampling. A sample size of 989 north-central Nigerian female university postgraduate students was selected from a population of 9,000. Perception and attitude toward cyberethical behaviour were positively correlated. Perception, awareness, and attitude toward cyberethical behaviour correlated. Perception and awareness significantly affected cyberethical behaviour. The study aims to provide insights into the factors that shape individuals' decision-making processes regarding cyberethics and to identify potential areas for intervention and education. The paper also discusses the importance of promoting cyberethics in Nigeria, given the increasing use of technology and the growing threat of cybercrime. The proposed framework offers a valuable tool for researchers and policymakers seeking to understand and address cyberethical behaviour in North Central Nigeria.

In today's digitally connected world, privacy has transformed from a fundamental human right into a multifaceted challenge. As technology enables the seamless exchange of information, the need to protect personal data has grown exponentially. Privacy has emerged as a critical concern in the digital age, as technological advancements continue to reshape how personal information is collected, stored, and utilized. This paper delves into the fundamental principles of privacy and explores the potential harm that can arise from the mishandling of personal data. It emphasizes the delicate balance between safeguarding individuals' privacy rights and fostering innovation in a data-driven society. By analyzing key privacy principles and their implications, this paper explores the foundational privacy principles that define the concept of privacy while delving into the potential harms that can arise when these principles are violated.

This paper outlines the development of a new Indigenous research methodology: Indigenous Literature Re-view Methodology (ILRM). In the rejection of the idea that Western, dominant forms of research 'about' Indigenous peoples are most valid, ILRM was developed with aims to research in ways that give greater emphasis to Indigenous voices and knowledges, foregrounding Indigenous ways of being, doing and knowing. The advantages of ILRM include identifying themes as 'relevant' as opposed to 'common'. This method is based on relatedness, which is framed by Aboriginal ontology, axiology and epistemology, or ways of being, ways of doing and ways of knowing. Describing and employing ILRM to re-view Indigenous Australian boarding school literature, it was found there is a modest but robust body of research that has emerged in the past 20 years. Sixty-six written sources (i.e. journal articles, reports, theses and books) which were published in 2000 onwards and focussed on a topic of contemporary Indigenous boarding schooling were analysed. Sources that included a chapter or section on boarding as part of a publication focussed on other topics were not included in this re-view. Seven major themes emerged, including home, student experience, transitions, access, staff, health and evaluation. This paper focusses on the development and use of ILRM as an Indigenous methodology for researchers in Indigenous fields of study.

Prior researches have highlighted challenges and variations arising from the requirements of research ethics committees and ethics governance systems across diverse research fields. This emphasizes the need to investigate how universities convey and implement research ethical practices. Research ethics plays a pivotal role in guiding the integration of ethical principles throughout all stages of research starting from its inception and planning to its completion and the dissemination of results. These practices encompass a range of considerations, reviews, guidelines, and processes aimed at safeguarding the rights, dignity, health, safety, and privacy of research participants. Using the content analysis technique, this paper aims to analyse research ethical practices information on universities' websites from "three developed countries and developing countries respectively using the isomorphism conception." The findings suggest that the coercive, normative, and mimetic isomorphic pressures explain the research ethics governance practices. The ethical practices information was disclosed more on university websites of the developed countries. Suggestions to improve the university's research ethics governance system for the post-COVID-19 era were provided in the paper.

Ongoing seismic events in global society have increased demands on organizations to change their focus on profit maximization alone to becoming a social enterprise that follows humanistic management (serving the common good) principles. Coincidentally, business schools are under pressure to teach humanistic management principles in their curriculum to enable the future work force to become agents of world benefit. Data analytics offers a means to introduce these principles to undergraduate business students. The analytics module described in this paper introduces undergraduates in an introductory Information Systems course to humanistic management. It discusses the use of humanistic management analytics (HMA), and describes an assignment to design, develop and use a HMA dashboard. Through video, lecture, case study and assignments, students learn the value of incorporating humanistic management principles to analytics and human resource functions that embody concepts of data analytics for social good.

We assessed 19,000 scientific introductions to measure the level of undisclosed use of ChatGPT in scientific papers published in 2023 and early 2024. We applied a "stylistics" approach that has previously been shown to be effective at differentiating AI-generated text from human-written text in a variety of venues. Ten different MDPI journals were selected for this study, and the rate of use of undisclosed AI writing in these journals was fairly consistent across the journals. We estimate that ChatGPT was used for writing or significant editing in about 1 to 3% of the introductions tested. This analysis is the first systematic study of detecting undisclosed ChatGPT in published manuscripts in cases where obvious indicators, such as phrases like "regenerate response", are not present. The work demonstrates that generative AI is not polluting mainstream journals to any appreciable extent and that the overwhelming majority of scientists remain hesitant to embrace this tool for late-stage writing and editing. [ABSTRACT FROM AUTHOR]

The aim of the paper is twofold: 1. To present observations based on first-year nursing students' narratives during clinical rotation in gerontological nursing care; and 2. Explore a nursing educator's reflections on these observations in relation to the didactic and ethical challenges that occurred. The teaching of ethics is included in nurse education worldwide. Students are in their first clinical placement in residential care of older persons confronted with the moral complexities of gerontological care, where they get little possibility to share emotions and thoughts about ethically challenging nursing situations with a supervising registered nurse. A critical discussion paper. The educator's reflections in this discussion paper are based on a narrative assignment in ethics where first-year nursing students reflect on and describe a nursing situation during their clinical rotation in the residential care of older persons. Most students were acting as mere spectators in the described nursing situation where an older person, ethical standards, or evidence-based care was violated. Some students acted as advocates to the older person and intervened in the situation and a few as inspirers showing alternative ways of handling ethically challenging situations. Educators in nursing programs at the undergraduate level require time for student-centered formative guidance to foster moral courage and practice. During first-year students' clinical rotation, the learning goals in long-term residential care of older persons are focused on evidence-based basic nursing care. In this, students are confronted with ethically challenging situations, where the possibility to learn from a critical reflective practice is rare. When observing situations where an older person is subjected to unethical or unsafe nursing care it is common that the students take the spectators' role, not knowing how to deal with what is observed. Some students are taking an intervening role by trying to alleviate the vulnerability of the older person. A few are showing moral courage by directly intervening when experiencing unethical or unsafe nursing care or conduct. In this the student can inspire fellow students or staff during their clinical rotation in alternative ways of handling ethically challenging situations. As older persons are the largest demographic group that nurses will experience, educators need a sound knowledge of ethics as well as gerontological care to be able to meet and nurture students' ethical reflections during clinical practice and to foster practical wisdom in nursing. [ABSTRACT FROM AUTHOR]

In 1974, the United States Congress asked a question prompting a national conversation about ethics: which ethical principles should govern research involving human participants? To embark on an answer, Congress passed the National Research Act, and charged this task to the newly established National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. The Commission's mandate was modest however, the results were anything but. The outcome was "The Belmont Report:" a trio of principles -- respect for persons, beneficence, and justice -- serving as an ethical compass for scientists, researchers, and institutional review boards (IRBs). Almost 50 years later, the utility, legacy, and ingenuity of "The Belmont Report" continues to be both admired and challenged. Critics argue that Belmont is not fit for the 21st century, while supporters praise "Belmont" for its enduring wisdom. The goal of this paper is to equip IRB practitioners with the tools necessary to maximally interpret "The Belmont Report" and meaningfully engage in ethical analysis that reconsiders outmoded legacy thinking and fixed decision-making. Through historical and contextual reflection, this paper describes how IRB practitioners can contemporize review of ethical human research using their moral imagination - a skill found at the intersection of creativity, deliberation, and empathy.

This systematic review, adhering to the PRISMA framework, investigated the utilisation of ChatGPT, a language model developed by OpenAI, throughout Kindergarten to 12th grade (K-12) educational settings. The review synthesises findings from 13 selected papers, encompassing the strengths, weaknesses, opportunities, and threats (SWOT) analysis of ChatGPT's implementation in K-12 education, implications for various stakeholders, and practical recommendations. It is highlighted that ChatGPT could empower educators through curriculum, lesson planning, materials generation, differentiation, and optimising student learning experience through personalised learning. However, concerns regarding academic integrity and output quality must be addressed. The paper provides pedagogical recommendations and ethical considerations to utilise ChatGPT better. It contributes to the ongoing discourse about AI, particularly ChatGPT's role in K-12 education, further inspiring future research and educational practices and facilitating the effective integration of ChatGPT into K-12 educational settings where collaboration arises as a key role, in particular under the approach of co-design for learning.

Gaining ethical approval for qualitative health research and implementing all the planned research processes in a proposed study are not straightforward endeavours. The situation becomes more complex when qualitative research is conducted in a cross-national healthcare and academic context. Also, it is even exhausting when the study is student-based, as student researchers may be considered novices and inexperienced researchers, especially for field-based research. Our aim in this reflective paper is to present, reflect, and discuss the experiences of a doctoral researcher in dealing with two independent institutional review boards in Canada and Ghana during an interdisciplinary Ph.D. project and the ethical dilemmas encountered while collecting data in Ghana. Based on the researcher's experiences, it became apparent that consent and its documentation can have cultural implications in different settings; hence, institutional review boards must exercise reflexivity in their protocol review practice. Also, sharing research data with participants and institutional leaders while maintaining participant confidentiality and privacy in institutional ethnographic research requires sensitivity to bi-lateral ethical values. With the experiences shared in this paper, we advocate for a dialogic ethical review process in qualitative research where researchers and research ethics boards engage in ongoing dialogue rather than the usual prescriptive format research ethics reviews often assume.

The problem of academic dishonesty in general and exam cheating in particular, has been ubiquitous in schools, colleges, and universities around the world. This paper reports on the findings from teachers' and students' experiences and perceptions of exam cheating at Nepali schools, colleges, and universities. In so doing, the paper highlights the challenges of maintaining academic integrity in Nepali education systems. Based on qualitative research design, the study data were collected by employing semi-structured interviews with the teachers and the students. Findings from the study indicated that over-emphasized value given to marks/grades and the nature of exam questions among others were the predominant factors. Our findings contribute to the practical understanding that academic institutions in Nepal have largely failed to communicate the value of academic honesty and integrity to the students of all levels of education despite the increasing prevalence of exam cheating. Therefore, exam cheating requires urgent attention from academic institutions, educators, and education leaders to educate students about the long-term educational and social values of academic honesty and integrity.

In the 1970s, research on artificial intelligence in education emerged with the aim of acknowledging and accommodating the psychological aspects of the learning process. Since then, its applications have evolved and it is now used for student learning and assessment, teachers' pedagogical practice, management of educational institutions, and lifelong learning. Nevertheless, the ethical challenges of educational programmes using these systems have not been thoroughly studied. Anchored on the theoretical frame of dialogic ethics, this paper presents a section of a participatory futures research project. The goal of the research is to develop a toolkit that educators can use to ensure a smooth and ethical transition to artificial intelligence-based education while preserving the interests of educational development. This paper emphasises the need for an informed and participatory process that involves all stakeholders and begins with an expert consultation through the Delphi method, the results of which allowed the construction of eight hypothetical futures scenarios. These scenarios provide evidence that examining the ethics of using artificial intelligence systems presents an opportunity to reflect on the ethics of education as a whole. They highlight the challenge of balancing the benefits and drawbacks of such systems, especially concerning educational goals and the interplay between diverse educational actors and personal development in educational settings. The study outcomes are intended to encourage discussions on the integration of ethical artificial intelligence in education and facilitate the continuing professional development of teachers by equipping them with scenarios that can be used as a resource for training purposes.

In this paper we describe a framework for teaching students when they should, or should not use generative AI such as ChatGPT. Generative AI has created a fundamental shift in how students can complete their class assignments, and other tasks such as building resumes and creating cover letters, and we believe it is imperative that we teach students when the use of generative AI is appropriate, and when it is not appropriate (i.e., considered cheating). Framework development is based off the 2x2 Product-Market matrix introduced by Ansoff in 1965. Our initial pass at the framework was piloted with colleagues, and then followed with a focus group of students to refine the framework. We then used the framework in an MBA class to test its efficacy and gather qualitative feedback. Using the results, we further refined the framework and then used it to teach two general undergraduate business classes as a rudimentary test of generalizability across students. The qualitative results were positive. The framework helps educators understand when to use, or not use ChatGPT, and provides a way to teach students about the same. We have found that using the framework in class generates interesting discussions about the use of generative AI.

Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to improve understanding assessment. The suggested student assessment system paradigm involves determining difficulty, creating the exam, and assessing the student. Based on the previously established relationship between question difficulty and right responses, questions are computed and then divided into difficulty categories. This model improves testing by adapting to the student's ability in real-time. This method ensures that all students are graded uniformly and fairly using pre-determined questions and criteria. The methodology can also cut exam creation and administration time, freeing up teachers and administrators to focus on other assessment tasks. It considers more evidence, learner-centered assessment can help employers evaluate candidates more accurately and meaningfully. It might boost academic productivity by letting assessors quickly write high-quality papers and save up time for deeper investigation and experimentation. This may accelerate scientific progress. Automatic paper generation raises ethical questions about research validity and reliability.

Given the prevalence of misconduct in research and among students in higher education, there is a need to create solutions for how best to prevent such behaviour in academia. This paper proceeds on the assumption that one way forward is to prepare students in higher education at an early stage and to encourage a smoother transition from academic integrity to research integrity by incorporating academic integrity training as an ongoing part of the curriculum. To this end, this paper presents three checklists developed as part of the Erasmus+ Strategic Partnership project "Bridging Integrity in Higher Education, Business and Society" (BRIDGE, 2020-1-SE01-KA203-077973). The aim of the checklists is to help students and their supervisors to bridge academic integrity and research integrity in research training. The checklists target master students, doctoral students, and their supervisors. This paper presents the theoretical background of the checklists, how they were developed, their content, and how they may be used in supervising thesis/dissertation work to promote a transition from academic integrity to research integrity.

This paper explores the relationship between education and diversity from a different perspective as compared to the current human rights education-based discourse on the subject matter. Instead of portraying education as the means and respect for diversity as the end, the focus rather lies on a concept of education that incorporates diversity as one of its fundamental conditions. I argue that Wilhelm von Humboldt's concept of diversity as an integrated component of his educational idea(l) of Bildung precisely follows this line of argumentation. In the spirit of Humboldt, exposure to diversity is both a necessary and a sufficient condition for Bildung. Since Humboldt neither explicitly outlined nor systematized his argument, this paper reconstructs and interprets his line of thought. By juxtaposing contemporary policy papers on human rights (education) with Humboldt's educational theory, rooted in his original work, this paper opens a new -- even though more than 200 years old -- outlook on diversity and education.