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Forbes
6 days ago
- Forbes
AI, Assessment And The Future Of Academic Integrity
AyoOluwa Nihinlola, Chief Content Officer at The uLesson Group, building future-forward learning products across Africa. Artificial intelligence (AI) is reshaping how students engage with education. From tutoring support to language translation, AI tools are helping students access knowledge faster and more flexibly than ever before. But alongside these benefits, a complex challenge is emerging: How do we, as edtech and education leaders, maintain academic integrity when AI can generate complete assignments, solve problems and compose essays in seconds? Recent reports about universities and schools around the world suggest a rising trend in the misuse of generative AI for coursework. In the U.K., Guardian research found that confirmed cases of cheating using AI tools in higher education rose more than threefold between the 2022-23 and 2023-24 school years. Educators in the U.S. and elsewhere have also expressed concerns about the potential for AI misuse. But these breaches of academic standards aren't only the result of students making poor choices. They also expose a deeper structural issue, one rooted in the way we design and evaluate learning itself. Prioritizing Answers Encourages Taking Shortcuts For decades, assessments have rewarded students for producing correct answers, often under timed conditions. The structure is simple: Retrieve facts, apply procedures and generate the expected response. Success, in this model, is about knowing what and how quickly you can answer. But I believe that model is increasingly outdated. In a world where information is abundant and accessible and where AI tools can generate those same answers in real time, the effectiveness and relevance of traditional assessments are being called into question. If students can bypass the effort of learning simply by using AI tools to generate responses that meet assignment requirements, perhaps the problem lies not only with behavior but also with the system itself. The Shift From Answers To Inquiry This moment offers an opportunity for leaders in education not just to enforce academic integrity but also to reimagine it. I encourage forward-thinking educators and institutions to embrace a new paradigm: assessing students not only on what they know, but on how they think. That means designing learning experiences that prioritize inquiry, reasoning and original thought and giving students credit for the quality of the questions they ask, not just the answers they provide. Asking questions is a sign of deep engagement. It reflects understanding, curiosity and a desire to explore. And in the age of AI, when answers are easily generated, the value of a well-framed question becomes even more significant. In my experience, students who learn to ask thoughtful, relevant and probing questions demonstrate: • A clear grasp of what they do and don't understand. • The ability to connect and synthesize ideas. • An openness to challenge assumptions and explore complexity. • A mindset rooted in curiosity and continuous learning. These are the very skills that I think will define success in the future of work, and they're nearly impossible to replicate with AI alone. Can AI Support This Shift? Ironically, AI can also help reinforce integrity by supporting this new assessment model. Advances in natural language processing allow systems to evaluate the complexity and relevance of student-generated questions. Feedback can be delivered in real time, helping learners refine their thinking. AI dashboards can help educators spot trends in inquiry and adjust their teaching accordingly. Instead of using AI only as a monitoring or enforcement tool, we can use it to promote reflective, inquiry-based learning at scale. What Educators And EdTech Leaders Can Do To navigate this shift, educational leaders should focus less on policing misuse and more on transforming how learning is measured. Here are four actions that support academic integrity in the AI age: • Redesign assignments to emphasise critical thinking, reasoning and problem-solving over rote answers. • Incorporate inquiry-based tasks where students generate and reflect on questions. • Leverage AI tools for formative feedback, especially on process and question quality. • Encourage transparency by having students reflect on how and when AI tools were used in their work. This approach doesn't ignore the challenges posed by AI; it addresses them by designing learning experiences that are more meaningful, more human and more resilient. Final Thoughts The future of academic integrity won't be protected by stricter rules alone. It will be secured through better design and by creating learning environments where students are recognized for how they think, how they inquire and how they grow. When we shift from an answer-based system to an inquiry-driven one, I think we can not only reduce the appeal of academic shortcuts but also elevate the purpose of education itself. Because in a world where answers are abundant, it's the questions we ask that will truly set us apart. Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?
Forbes
24-06-2025
- Business
- Forbes
Forbes AI 50 Celebration
| Jun 24, 2025, 03:56PM EDT Forbes Chief Content Officer Randall Lane concludes the inaugural Forbes AI 50 Celebration in San Francisco, California.
BBC News
18-06-2025
- Entertainment
- BBC News
Kate Phillips appointed as BBC's Chief Content Officer
The BBC has appointed Kate Phillips as its new Chief Content Officer. Director-General Tim Davie confirmed the news to staff today (18 June), following a competitive recruitment process. Kate was appointed interim Chief Content Officer, after Charlotte Moore announced earlier this year that she was leaving the BBC to join Left Bank Pictures and Sony Pictures Television. Kate has spent 12 years at the BBC. Most recently, as Director of Unscripted, she has been responsible for many of the BBC's top performing shows, including Strictly Come Dancing, The Traitors and Gladiators. Kate was also the last Controller of BBC One, overseeing a huge slate of programmes across Drama, Comedy, Arts and Music, all of Factual, Current Affairs, Daytime, Sport and Entertainment. Prior to that she was Controller, Entertainment where she oversaw the entertainment strategy across BBC television and iPlayer, where she commissioned more than 500 hours of original programming a year. Her extensive TV career also includes Creative Director of Formats for BBC Worldwide, as well as a creator and producer of many shows for a variety of broadcasters. Announcing the news to staff, Director-General Tim Davie said: 'Kate's passion for delivering world-class content to our all audiences shines through in everything she does. 'Her experience with the BBC spans over 12 years and in that time she has brought innovation, outstanding creativity, and an absolute focus on our audiences. 'She has a fantastic record of delivering creative hits which embody the best of the BBC.' Kate said: 'Over the past few months, I have thoroughly enjoyed being more involved in the huge breadth of brilliant content that we produce across the UK and, of course, it's been great getting to know so many new people. 'This is one of the best roles in the business at an incredible organisation and I can't wait to get started.' BBC Press Office Follow for more
Forbes
12-05-2025
- Forbes
Conversation And AI: One Of The Most Underrated Tools In Learning
Chief Content Officer at The uLesson Group, building future-forward learning products across Africa. Conversation has been a fundamental element of education for hundreds of years. Dialogue from ancient Greek Socratic dialogues to contemporary mentorships enables learners to understand intricate concepts while sharpening their thinking abilities and expanding their comprehension. In contemporary educational settings, conversation seems to receive less emphasis. The current classroom setup emphasizes lectures and passive learning methods. Online platforms that claim to offer interactive experiences often depend on unchanging content. Today's educational practices focus on one-way communication from teacher to student and screen to viewer instead of fostering dialogic interactions. For leaders in education and technology, the process of reimagining 21st-century learning should include a renewed focus on conversation's foundational role. With modern advances in AI technologies such as Natural Language Processing (NLP), alongside Text-to-Speech (TTS) and Speech-to-Text (STT), we can now restore conversational learning at massive scales. As the chief content officer of an African education technology company focused on delivering high-quality learning experiences to students across the continent, I've led initiatives at the intersection of education, technology and cognitive science, particularly in using AI to build scalable and personalized learning tools. My passion for this topic comes from a belief that conversation, powered by modern technologies, can democratize access to deep, meaningful education globally, especially in underserved communities. Studies in cognitive science repeatedly demonstrate the advantages of learning through conversation. Students achieve deeper processing by verbalizing ideas and asking questions or when they teach others. Through retrieval practice activation, students enhance neural connections that aid long-term memory retention. Moreover, conversation encourages immediate feedback and clarification. A follow-up question can surface a misconception. A challenge can prompt reflection. Real learning frequently occurs during micro-interactions yet these interactions present scaling challenges in traditional educational systems. The best kind of conversation needs sustained attention and detailed understanding, but most educational settings lack the time to support it. Educators who teach big classes lack the time to engage each student in continuous individual discussions. Students who find it difficult to follow along often hesitate to request help. I've found that peer-to-peer learning shows that not all students can find knowledgeable partners with whom to collaborate. Digital platforms have made attempts to resolve this problem, yet frequently mimic the traditional education system's one-directional teaching approach. Conversational AI marks the beginning of a major change in our current educational model. Three distinct technologies have started merging to enable large-scale conversational learning systems: • Natural Language Processing (NLP) allows systems to interpret and create human language within specific contexts. This advancement allows machines to participate in interactive conversations rather than merely responding with fixed replies. • Through Text-to-Speech (TTS) technology, these machine systems acquire an actual voice. Students have access to spoken explanations and auditory feedback while they participate in voice-driven interactions. The technology provides better access to learning resources while replicating natural educational settings, particularly in areas where people have different reading levels. • Speech-to-Text (STT) enables learners to input commands and data into systems through spoken language. The system enables a more intuitive learning environment while assisting students to develop verbal fluency through language learning and comprehension tasks. These systems enable learners to engage with machines through interactions that become more human-like and educationally beneficial. Education sectors worldwide are implementing these technologies through novel applications. AI tutors and homework assistance systems help students solve problems by adjusting explanations based on their comprehension levels. Language learning apps utilize real-time voice recognition technology combined with audio feedback to help students improve their pronunciation and conversational skills. Higher education institutions deploy virtual advisors who handle student admissions questions and enrollment procedures, along with coursework support to enhance operational efficiency while decreasing the administrative workload. Educators will remain essential because these tools do not serve as replacements for them. These tools function as scalable and accessible learning companions that provide support to students at any time and place they require it. Conversation builds confidence. It encourages curiosity. It transforms passive receivers into active participants. Students who do not have access to personalized teaching can utilize conversational AI to fill this educational void while maintaining high-quality learning standards. The most significant change brought about by this approach moves learning focus from content dissemination toward active engagement and comprehension. This approach enables learners to engage in exploration and questioning while developing iterative thinking skills crucial for adapting to rapid changes in the modern world. The advancement of learning relies not on accumulating more content and devices but rather on improving conversations. AI enables us to provide all learners with access to the future of learning regardless of their location. Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?
