Tag #socialintelligence

By Dr. Gilbert A. Ang’ana

Did you miss the initial parts of this article series? Find Part 1 here, Part 2 here, and Part 3 here. This article is Part 4 of this series on “Re-imagining Critical Thinking in Higher Education in the Age of Artificial Intelligence”. Follow me for details of all the parts.

Universities Must Rethink Assessment Before Artificial Intelligence Redefines Learning

If artificial intelligence has exposed one major weakness within higher education, it is not the curriculum. It is assessment.

For generations, universities have relied on essays, examinations, research papers, laboratory reports, and dissertations as primary indicators of student learning. These assessment methods evolved within a world where demonstrating knowledge required students to independently locate information, organise arguments, synthesise evidence, and communicate their reasoning. The finished assignment served as a reasonably reliable proxy for the intellectual processes that produced it. Although imperfect, these approaches reflected an educational environment in which access to information was limited and the production of coherent academic work required substantial individual cognitive effort.

Artificial intelligence has fundamentally changed this assumption. Today, many conventional university assessments can be completed, at least in draft form, within minutes using generative AI. Essays can be generated instantly. Literature reviews can be synthesised. Computer code can be produced with remarkable speed and accuracy. Statistical analyses can be interpreted by AI-assisted software. Even policy briefs, reflective summaries, and research proposals can be drafted with increasing precision. Consequently, the educational challenge is no longer whether students possess the technical ability to use AI. That reality is already here. The challenge is whether existing assessment models continue to measure the intellectual capabilities universities claim to develop.

This moment requires universities to confront an uncomfortable but necessary truth. The AI revolution has not rendered higher education obsolete; it has rendered many traditional assessment practices insufficient.

The response should not be a return to handwritten examinations or blanket prohibitions on AI. Such measures may offer temporary reassurance but fail to address the deeper issue. Artificial intelligence is now part of professional practice across law, medicine, engineering, education, business, journalism, architecture, public administration, and scientific research. Universities should therefore prepare students to work responsibly with AI rather than pretend it does not exist. The central policy challenge is designing assessments in which the value lies not in producing answers but in demonstrating judgment, reasoning, creativity, ethical reflection, and contextual understanding.

Educational research has long argued that assessment shapes learning more powerfully than curriculum itself. John Biggs’ theory of constructive alignment emphasises that students organise their learning around what is assessed rather than what is merely taught (Biggs & Tang, 2011). If assessment rewards memorisation, students memorise. If it rewards reproduction, students reproduce. If it rewards critical inquiry, collaboration, reflection, and innovation, students gradually develop those capabilities. Assessment therefore sends a powerful message about what universities truly value. Artificial intelligence makes this insight more important than ever.

Rather than asking whether AI should be permitted in assessment, universities should begin by asking a more fundamental question: What forms of assessment best reveal human thinking in an AI-mediated world?

The answer lies in shifting from assessing products to assessing intellectual processes. One promising approach is the expanded use of oral examinations and oral defences. Long established within doctoral education, oral assessment requires students to explain, justify, defend, and extend their reasoning in real time. It becomes immediately evident whether learners genuinely understand the arguments they present, can respond to unfamiliar questions, and can integrate evidence under conditions of uncertainty. Artificial intelligence may assist students in preparation, but it cannot substitute for authentic intellectual engagement during scholarly dialogue. Research consistently suggests that oral assessment enhances conceptual understanding, communication skills, and higher-order reasoning while reducing opportunities for academic misconduct (Joughin, 2010).

Similarly, authentic assessment offers an increasingly relevant framework for AI-era universities. Authentic assessments require students to apply knowledge within realistic professional contexts rather than reproduce information in artificial academic settings (Villarroel et al., 2018). Instead of writing generic essays, students might develop public policy recommendations for local governments, design engineering solutions for community challenges, create business innovation strategies for emerging enterprises, prepare environmental impact assessments, or analyse complex healthcare cases. Such assessments value the quality of reasoning, stakeholder engagement, ethical decision-making, and contextual application over the production of text alone.

Policy simulations and scenario-based learning similarly cultivate capacities that artificial intelligence cannot independently replicate. Students confronted with evolving crises, whether climate emergencies, constitutional disputes, organisational failures, public health outbreaks, or diplomatic negotiations, must make decisions using incomplete information, competing priorities, and uncertain outcomes. These environments require judgment rather than information retrieval. They reveal how learners think rather than merely what they know. Higher education should also increasingly embrace live problem-solving assessments. These require students to analyse unfamiliar problems under supervised conditions, articulate their reasoning aloud, collaborate with peers, and adapt their thinking as new evidence emerges. Such assessments reflect the realities of contemporary professional practice, where success depends less on recalling predetermined answers than on responding thoughtfully to novel situations.

Another promising direction involves expanding the use of capstone projects that integrate knowledge across disciplines while addressing genuine societal challenges. Capstone experiences require sustained inquiry, collaboration, stakeholder engagement, iterative learning, and reflective practice over extended periods. Because they unfold through multiple stages involving supervision, peer feedback, field engagement, and revision, they make the learning journey itself visible rather than focusing exclusively on the final product. Portfolio assessment similarly deserves renewed attention. Rather than evaluating isolated assignments, portfolios document students’ intellectual growth over time through collections of projects, reflections, presentations, research outputs, creative work, and evidence of professional development. Properly designed portfolios encourage learners to demonstrate progression, integrate feedback, and critically reflect upon their own development. They also mirror lifelong learning practices increasingly expected within rapidly evolving professions.

One of the most underutilised yet powerful assessment approaches remains the reflective journal. Reflection is frequently misunderstood as a personal narrative rather than a rigorous intellectual exercise. In reality, structured reflective practice requires learners to evaluate decisions, analyse assumptions, identify limitations, integrate theory with experience, and plan future improvement. Donald Schön’s work on the reflective practitioner demonstrated decades ago that professional expertise develops not merely through experience itself but through disciplined reflection upon experience (Schön, 1983). In the AI era, reflective writing becomes even more valuable because it reveals how students interpret, question, and learn from interactions with intelligent technologies. Universities should also expand community-engaged learning and project-based assessment. Working with local communities, government agencies, civil society organisations, schools, hospitals, industries, and entrepreneurs exposes students to complex realities where problems rarely have single correct answers. Community-based assessment requires empathy, collaboration, ethical reasoning, contextual awareness, and adaptive problem-solving, qualities that remain deeply human despite rapid technological advancement.

Equally important is the growing need for interdisciplinary challenge-based learning. Artificial intelligence increasingly operates across disciplinary boundaries, affecting law, medicine, engineering, agriculture, education, economics, environmental science, theology, and public policy simultaneously. Universities should therefore create opportunities for students from different disciplines to collaborate on solving complex societal challenges. Such experiences cultivate systems thinking, communication, negotiation, and intellectual flexibility, competencies consistently identified by the OECD, UNESCO, and the World Economic Forum as essential for future graduates.

These recommendations do not imply abandoning essays altogether. Writing remains one of the most powerful vehicles for developing critical thought. Rather, essays should increasingly become one component within richer ecosystems of assessment that also evaluate oral reasoning, collaborative inquiry, ethical judgment, creativity, reflection, and practical problem-solving. The objective is not to eliminate traditional assessment but to rebalance it toward forms of evidence that more accurately capture human intellectual capability in an AI-enabled world.

The universities that thrive in the coming decades will not be those that most effectively police artificial intelligence. They will be those that most effectively redesign assessment around the capacities artificial intelligence cannot replace.

Ultimately, assessment reform is not about preserving academic integrity alone. It is about preserving intellectual integrity, the commitment to ensuring that every graduate has genuinely developed the habits of mind that higher education exists to cultivate.

Faculty Need AI Pedagogical Literacy, Not Just Digital Literacy

Artificial intelligence has generated widespread speculation about the future of academic work. Headlines frequently ask whether AI will replace lecturers, automate teaching, or render universities obsolete. Such questions are understandable but fundamentally misplaced. Throughout history, transformative technologies have consistently altered professional roles without eliminating the need for human expertise. Artificial intelligence is unlikely to replace university educators. It is, however, profoundly changing what it means to be one.

The future of higher education will depend less on whether lecturers can use artificial intelligence and more on whether they can teach students how to think critically in partnership with it.

This distinction marks one of the most important yet least discussed dimensions of AI policy in higher education. Across many universities, considerable attention has been devoted to helping faculty become digitally competent. Workshops increasingly introduce lecturers to generative AI platforms, automated marking tools, adaptive learning systems, AI-assisted research software, and digital content creation. While these initiatives are valuable, digital competence alone is insufficient. Knowing how to operate AI technologies is fundamentally different from understanding how AI reshapes learning, cognition, assessment, ethics, and intellectual development.

Universities therefore need to move beyond digital literacy towards what might be termed AI pedagogical literacy.

AI pedagogical literacy refers to educators’ capacity to integrate artificial intelligence into teaching in ways that strengthen rather than weaken learning. It requires understanding not only how AI functions technically but also how it influences cognitive development, student motivation, assessment validity, disciplinary knowledge, ethical reasoning, and academic integrity. Most importantly, it requires lecturers to redesign educational experiences so that AI becomes a catalyst for deeper inquiry rather than a shortcut around intellectual effort. This transformation fundamentally redefines the educator’s role. For centuries, lecturers have been regarded primarily as transmitters of disciplinary knowledge. Although this conception has long been challenged by contemporary educational theory, remnants of the transmission model remain evident within many university classrooms. Artificial intelligence accelerates the decline of this traditional role because students can now access information, summaries, examples, and even personalised tutoring almost instantly through intelligent systems. Information delivery is no longer the distinctive contribution of the university lecturer.

The educator’s comparative advantage now lies elsewhere. Lecturers become architects of learning rather than distributors of information. They become designers of intellectual experiences. Facilitators of inquiry. Mentors of critical reasoning. Cultivators of ethical judgment and developers of professional identity.

These responsibilities cannot be automated because they depend upon relational engagement, disciplinary wisdom, contextual understanding, and moral leadership. This shift also requires educators to model critical engagement with AI itself. Students should observe lecturers questioning AI-generated outputs, identifying inaccuracies, recognising algorithmic bias, evaluating evidence, acknowledging uncertainty, and demonstrating intellectual humility. In doing so, faculty communicate an essential lesson: artificial intelligence is an extraordinarily powerful cognitive partner, but it is not an unquestionable authority.

Equally important is the need for educators to explicitly teach students how to use AI responsibly. Universities should no longer assume that digital natives automatically possess AI literacy. In reality, many students know how to generate outputs but lack understanding of prompt design, verification strategies, source evaluation, ethical disclosure, bias detection, privacy implications, and responsible academic use. Faculty therefore become guides in helping students distinguish between productive AI collaboration and passive dependence. Professional development consequently becomes a strategic institutional priority rather than an optional activity. Universities should invest in sustained programmes enabling lecturers to understand cognitive science, assessment redesign, AI ethics, disciplinary applications of generative AI, learning analytics, and evidence-based pedagogical innovation. One-off workshops introducing AI tools will not be sufficient. Faculty require continuous opportunities to experiment, reflect, collaborate, and evaluate emerging educational practices within their own disciplines.

Institutional leadership has a corresponding responsibility. Universities should establish communities of practice where educators share successful AI-enabled teaching approaches, discuss ethical dilemmas, evaluate new technologies, and collectively develop institutional standards. Such collaborative learning cultures reduce uncertainty while encouraging innovation grounded in educational research rather than technological enthusiasm alone. AI pedagogical literacy must also become a component of academic quality assurance. Teaching excellence frameworks should increasingly recognise educators who successfully integrate AI while strengthening higher-order thinking, reflective practice, interdisciplinary collaboration, and authentic learning. Teaching awards, curriculum review processes, and educational leadership programmes should all acknowledge the growing importance of AI-informed pedagogy. Perhaps most important, faculty themselves must embrace a renewed understanding of expertise. In an era where students can instantly retrieve information, academic authority no longer rests primarily upon possessing knowledge unavailable elsewhere. Instead, authority increasingly derives from helping learners make sense of complexity, navigate ambiguity, exercise ethical judgment, connect theory with practice, and cultivate intellectual character.

Artificial intelligence therefore does not diminish the importance of university educators. It elevates it. The lecturer of the future will not be defined by the quantity of information they can deliver more effectively than an algorithm. They will be distinguished by their capacity to cultivate the qualities that no algorithm can teach independently: wisdom, discernment, curiosity, courage, integrity, empathy, intellectual humility, and the disciplined habit of critical inquiry. The universities that flourish in the age of artificial intelligence will not simply invest in smarter technologies. They will invest in smarter pedagogies and in educators capable of ensuring that every technological advance is matched by an equally ambitious investment in human intellectual development.

For if artificial intelligence is transforming the future of learning, it is the university lecturer who must ensure that learning remains profoundly and unapologetically human.

Thank you for following this series of articles in this critical conversation to here. The last bonus part 5 of the article, I will be sharing “Eight Policy Priorities for Re-imagining Critical Thinking in the Age of Artificial Intelligence”

Author

Dr. Gilbert A. Ang’ana is the Dean of School of Leadership, Business, and Technology at Pan Africa Christian (PAC) University whose research focus is on values-based and collaborative leadership and governance in Africa. He is a leadership, governance and policy consultant, teacher and coach and the Founder of Accent Leadership Group and Accent Global Initiative (Think Tank)

By Dr. Gilbert A. Ang’ana

A close friend once shared her story with me. A story that, sadly, mirrors the silent suffering of many professionals today. She was passionate about her work, deeply committed, and loyal to her organization. Yet, beneath that dedication lay emotional exhaustion. Her confidence had been chipped away bit by bit by subtle humiliation, unrealistic demands, and an environment where fear was the dominant. Eventually, she sought therapy.

Fortunately, after months of healing and believing she was ready to start afresh, she left that organization for another. In fact it looked like a blessing since the new organization had a glowing reputation for success. But barely two years into her new role, she found herself back in therapy. The same patterns had resurfaced. Different faces, same wounds.

Workplace-inflicted trauma is a reality many people face today. A psychological injury sustained from the way people lead and treat one another at work. Sadly, her story isn’t unique. It’s the lived reality of millions across workplaces today.

The Unspoken Sunday Evening Dread

You can almost sense it every Sunday evening. The sinking feeling that tomorrow is Monday. For some, it’s mild fatigue. For others, it’s anxiety, sleeplessness, even physical sickness. The mere thought of returning to their workplace triggers distress. Then there are those who count down to Friday, live for holidays, and dread every morning because it means stepping into a place that slowly drains their sense of self-worth. These are not isolated emotions. They are symptoms of workplace-inflicted trauma, a silent killer of motivation, creativity, and emotional well-being.

And the irony? Some of the most “successful” organizations, the ones topping performance charts are often the most traumatizing environments for their people. Behind such glossy reports and impressive profits lie teams gasping for psychological air.

Trapped by Necessity, Wounded by Leadership

Many employees cannot leave, even when the workplace breaks them. They have bills to pay, families to feed, or financial commitments tied to the very jobs that are harming them. They wear smiles in meetings, deliver results under pressure, and quietly suffer. The trauma festers, unseen and untreated, until burnout or breakdown becomes inevitable.

At the root of it all is one fundamental cause: leadership.

Toxic workplaces are not created by policies, they are created by people. It is leaders who model behaviors, set tones, and create atmospheres that either uplift or suffocate. A workplace becomes a source of trauma when leadership fails to humanize its people.

Healing Through Humanized Leadership

The question, then, is this: How can leaders create environments where employees feel valued, safe, and energized to contribute meaningfully?

Research, experience, and the reflections I share in my book Purposeful at Heart all point to a simple but powerful focus. Leadership is an act of love.

To heal workplace trauma and prevent it from recurring, leaders must:

Love their team members unconditionally – This is not sentimental love; it’s a deep commitment to the well-being, growth, and dignity of each person. When people feel loved, they stop working out of fear and start working from purpose.

Believe in their people – Many employees are traumatized not by what they do, but by leaders who don’t believe in them. When leaders communicate belief, they awaken confidence and courage in their teams.

Value people genuinely – Valuing someone goes beyond compensation. It’s about listening to them, respecting their perspectives, and recognizing their humanity. A valued employee thrives; an undervalued one withers.

When leaders cultivate such an environment, people wake up with energy and purpose. Work becomes not a burden but a meaningful part of life’s expression.

If you are a Leader, Reflect and Reimagine

The workplace should be a space for growth, creativity, and collaboration, not a source of trauma. Yet, unless leaders confront this reality, we risk normalizing emotional harm as a cost of doing business. It’s time organizations audit not just performance, but psychological climate. It’s time we measure not only productivity, but also people’s peace. Because in the end, sustainable success is built not on exhausted bodies or fearful hearts, but on inspired souls.

Leaders must ask themselves daily – Am I creating an environment where people flourish, or one where they flee emotionally? Only when we humanize leadership will we begin to heal the hidden wounds of workplace-inflicted trauma.

About the Author

Dr. Gilbert Ang’ana is a Leadership, Governance, and Policy Consultant and Founder of Accent Leadership Group. He is a Senior Lecturer and the Dean School of Leadership at PAC University, a Policy Leader Fellow at the European University Institute and a published scholar, he champions human-centred leadership as the future of organisational success. Follow his insights on LinkedIn or visit www.accentleadership.com.

Leadership has evolved from the traditional authoritative style to a more inclusive and empathetic approach. This shift is crucial in today’s dynamic work environment, where connection, engagement, and productivity are key to success. Leaders who humanize their approach can foster a thriving organizational culture.

The Power of Empathy

Empathy in leadership means understanding and sharing the feelings of your team members. It is about putting yourself in their shoes and considering their perspectives.

• Example: Imagine a team member struggling with a personal issue that affects their work performance. A humanizing leader would take the time to listen, provide support, and possibly offer flexible working arrangements to help them through their tough time. This not only shows compassion but also builds loyalty and trust within the team.

Transparency Builds Trust

Transparency involves being open and honest about decisions, processes, and the reasons behind them.

• Example: When organizational changes are on the horizon, a transparent leader will communicate the upcoming changes, the rationale behind them, and how they will impact the team. This approach reduces uncertainty and rumours, promoting a culture of openness and trust.

Empowerment Fuels Innovation

Empowerment means giving team members the autonomy to make decisions and take ownership of their work.

• Example: A leader who encourages their team to take on new projects and make decisions demonstrates trust in their abilities. This empowerment leads to increased innovation, as team members feel confident to propose and implement new ideas.

Recognition Boosts Morale

Recognition is about acknowledging and celebrating the achievements and efforts of your team members.

• Example: Regularly celebrating milestones, whether big or small, helps boost morale. A leader who takes time to recognize and appreciate hard work can significantly increase motivation and job satisfaction within the team.

Authenticity Creates Connection

Authenticity means being genuine and true to oneself in all interactions.

• Example: When a leader admits their mistakes and shows vulnerability, it creates an environment where team members feel safe to be themselves. This authenticity fosters deeper connections and a more cohesive team.

Humanizing vs. Demonizing Leadership

Humanizing Leadership

Behavior	Description	Practical Examples
Empathy	Understanding and sharing the feelings of others.	A leader takes time to listen to a team member’s personal challenges and offers support.
Transparency	Being open and honest about decisions and the rationale behind them.	A leader shares the reasons behind organizational changes, including both positive and negative impacts.
Empowerment	Encouraging team members to take initiative and make decisions.	A leader delegates meaningful tasks and trusts their team to execute them independently.
Recognition	Acknowledging and celebrating the achievements of team members.	A leader publicly praises a team member’s hard work and contributions in meetings or company-wide communications.
Authenticity	Being genuine and true to one’s values.	A leader admits mistakes and shows vulnerability, fostering a culture of trust.

Demonizing Leadership

Behavior	Description	Practical Examples
Micromanagement	Overly controlling every aspect of team members’ work.	A leader frequently checks on employees’ tasks, undermining their autonomy and confidence.
Opaqueness	Keeping information hidden or sharing it selectively.	A leader makes decisions without consulting the team or explaining the reasoning behind those decisions.
Disempowerment	Preventing team members from taking initiative.	A leader denies team members opportunities to take on new challenges or make decisions.
Neglect	Ignoring the achievements and well-being of team members.	A leader never acknowledges or rewards employees’ hard work and contributions.
Inauthenticity	Acting in ways that are not genuine or true to one’s values.	A leader pretends to care about employees’ issues but shows no real commitment to addressing them.

Humanizing leadership is not just a trend; it is a necessity in the modern workplace. Leaders who embrace empathy, transparency, empowerment, recognition, and authenticity can create a work environment that drives higher connection, engagement, and productivity.

By contrast, leaders who demonize their leadership through micromanagement, opaqueness, disempowerment, neglect, and inauthenticity can expect low morale, high turnover, and reduced productivity.

To drive meaningful change, leaders must commit to humanizing their approach, putting people at the center of their leadership practices. This shift will not only enhance individual and team performance but also contribute to the overall success and sustainability of the organization.

Author

Dr. Gilbert A. Ang’ana is a Leadership, Governance, and Policy Consultant and Advisor and the CEO of Accent Leadership Group. Dr. Ang’ana’s purpose is to challenge leaders across various contexts to influence beyond positional authority.

In the realm of interpersonal relationships and professional collaborations, social intelligence stands as a cornerstone for success. It goes beyond mere intellect or technical skills; it encompasses a profound understanding of oneself and others, fostering meaningful connections and partnerships. Building upon the foundational framework proposed by Gervase Bushe in 2019, and integrating a novel framework dubbed LALI (Looking, Asking, Listening, and Interpreting), this article delves into the intricate layers of social intelligence, elucidating its importance and application in various spheres of life.

Understanding Social Intelligence: The Bushe Framework

Gervase Bushe’s framework from his book CLEAR Leadership delineates four key facets of social interactions, each crucial for interpersonal growth and development:

Aware of Self: This facet revolves around self-awareness, the cornerstone of emotional intelligence. Being cognizant of one’s emotions, strengths, weaknesses, values, and biases lays the groundwork for effective interaction with others. Individuals adept in this aspect possess a deep understanding of how their actions and words impact those around them.

Descriptive Self: Moving beyond self-awareness, the descriptive self involves the ability to articulate one’s thoughts, feelings, and intentions clearly and authentically. Effective communication hinges upon the capacity to express oneself transparently, fostering trust and rapport in relationships.

Curious Self: Cultivating a curious mindset entails a genuine interest in understanding others’ perspectives, experiences, and motivations. By embracing curiosity, individuals foster empathy, deepen connections, and nurture an inclusive environment where diverse viewpoints are valued and respected.

Appreciative Self: The appreciative self embodies gratitude and recognition for the contributions and qualities of others. This facet emphasizes the importance of acknowledging and celebrating the strengths and achievements of individuals within social dynamics, fostering a culture of appreciation and collaboration.

Enriching the Framework: The LALI Approach

Building upon Bushe’s framework, the LALI approach introduces a structured methodology for enhancing social intelligence and fostering meaningful connections and partnerships:

Looking: The first step in cultivating social intelligence involves introspection and observation. Individuals are encouraged to look inward, acknowledging and addressing personal biases, assumptions, and preconceptions that may hinder meaningful interactions. Simultaneously, outward observation entails keenly perceiving others’ verbal and non-verbal cues, fostering empathy and understanding.

Asking: Effective communication is founded on the art of asking insightful questions. By actively seeking clarification and understanding, individuals demonstrate a genuine interest in others’ perspectives and experiences. Asking questions fosters dialogue, promotes mutual understanding, and lays the groundwork for building trust and rapport.

Listening: True listening goes beyond hearing words; it entails active engagement and empathy. Individuals practicing social intelligence exhibit the grace to listen attentively, suspending judgment and fully immersing themselves in others’ narratives. By validating and acknowledging others’ perspectives, effective listeners foster trust and mutual respect within interpersonal dynamics.

Interpreting: The final stage of the LALI approach involves synthesizing information and understanding gleaned from self-reflection, inquiry, and active listening. Interpreting entails discerning underlying themes, emotions, and motivations, facilitating deeper understanding and connection. Through thoughtful interpretation, individuals bridge gaps in communication, fostering meaningful partnerships grounded in mutual understanding and collaboration.

In essence, social intelligence serves as a linchpin for building meaningful connections and partnerships in both personal and professional spheres. By embracing the multifaceted framework proposed by Gervase Bushe and enriching it with the structured approach of LALI, individuals can cultivate a profound understanding of self and others, fostering empathy, trust, and collaboration. As we navigate the complexities of human interaction, let us endeavour to hone our social intelligence, recognizing its transformative power in fostering harmonious and fulfilling relationships.

Author

Gilbert Ang’ana is an Award-winning Organizational Leadership Coach, Teacher, and Consultant | Keynote Speaker | CEO, Accent Leadership Group | Books Authored: “Engaged & Productive” and “Purposeful at HEART”