University Teaching Methods

“Meeting students where they are” has become a familiar refrain in higher education. But - what does it mean? For many, the phrase is interpreted metaphorically: understand students’ starting points, empathise with their challenges, personalise their learning. But we must also take it literally. Students are not where we imagined they would be post-Covid. They are not back in the lecture theatre. Instead, they’re working extra shifts, caring for siblings or ageing parents, training for national competitions, or managing chronic illness. They’re commuting long distances, or not commuting at all. And even when they are online, they’re multitasking, catching up, and learning in short bursts between other responsibilities. Universities are beginning to respond. In Australia, Regional University Study Hubs are locally embedded, tech-enabled spaces that bring higher education into the everyday geographies of students’ lives. The model is expanding, being trialled in suburban communities where participation in traditional campus life is constrained by distance, cost, and complexity. Scheduling is also being reimagined. Institutions such as Victoria University have adopted block teaching models, allowing students to focus on one subject at a time. This deepens engagement and better fits the lives of students juggling work or family. Others are trialling evening intensives, rolling start dates, or asynchronous-first models. Some are experimenting with mobile classrooms or co-locating learning in community hubs like libraries or health clinics. While institutional change moves slowly, instructors can adapt more quickly. Some have moved the bulk of content delivery online, not as lecture recordings, but as purpose-designed modules. This frees up classroom time for what can’t be done well online: guest panels with industry experts, facilitated workshops, debates, and simulations. Others design assessments that invite students to apply theory to their lives, by analysing work or other experiences. Instructors have sliding participation windows, offer multiple modes of contribution, or use voice notes or video clips to respond to student queries, replacing anonymity with presence. Instructors are exploring AI tools to personalise the learning journey, helping students get unstuck with concept explanations tailored to their level of understanding, or providing feedback on formative work. Such tools allow us to also meet students where they are in their current grasp of a concept, their confidence, and their pace. To truly meet students where they are, we need more than convenience. We need redesign that raises our aspirations for the kinds of relationships, rhythms, and structures that contemporary learners need. Meeting students where they are means recognising that their lives are rich, complex, and constrained and that higher education must fit into that world, not ask students to leave it behind. #HigherEducation #Universities

The AI generation has made teaching one of the hardest jobs — and one of the most important jobs — that exist today. We used to worry about giving students too much information — now we worry about getting their attention. Today's students can find answers in seconds — what they need help with is understanding — and putting that information into context — and making good judgments about it. And that is exactly why innovative teaching has become more valuable than ever. Being innovative in teaching does not mean you have to use all of the latest tools. Innovative teaching is about changing how you support your students to think. In the age of artificial intelligence (AI) teachers are no longer simply providers of knowledge. Teachers will act as guides — as filters — and as sense makers. If AI can provide explanations for concepts, then the teachers' role changes to supporting students to develop the skills to ask better questions — to challenge their assumptions — and to apply the ideas in the real world. Innovative teaching will move away from the student memorizing and toward the student interpreting. Away from asking "What is the answer?" and toward asking "Why does this matter?" Away from being passive listeners and toward being active problem solvers. While AI can provide personalized content — teachers can provide personalized meaning. Students should be encouraged to explore, to debate, and to be curious. Students should be allowed to use AI — but students should be taught how to analyze the output of AI, to question the logic of AI, and to understand the limits of AI. That is real digital literacy. As such, innovation is also about embracing creativity. To use real-world examples. To promote collaboration. To allow students to fail while still learning. To create environments that allow students to think aloud — and not just to do things correctly. Most importantly, innovative teaching is uniquely human. Empathy, encouragement, and inspiration cannot be replicated by algorithms. A teacher who develops relationships with students, understands their challenges, and believes in their capabilities — that is an influence that no algorithm can replace. In the AI generation — the best teachers will not compete with technology — instead, the best teachers will teach their students how to think with technology. Because the future does not belong to those who have the most knowledge — the future belongs to those who can continue to learn, adapt, and think critically — over and over again. - Nataraj Sasid

Keeping a class engaging and fun—while still being effective—requires a mix of creativity, structure, and responsiveness to student needs. Here are practical strategies you can use: 🔄 1. Mix Up Your Teaching Methods Use a variety of formats: lectures, group work, role-plays, games, debates, and storytelling. Include multimedia: videos, music, infographics, podcasts. Try movement-based activities: gallery walks, mingling surveys, or “find someone who…” 🎮 2. Gamify Learning Points and badges for participation, quizzes, or teamwork. Classroom games: Kahoot, Quizlet Live, Jeopardy-style reviews. Challenges: “Mission of the Week,” scavenger hunts, escape rooms. 🧠 3. Make It Student-Centered Encourage student talk time: pair work, group discussions, peer teaching. Let them choose topics or presentation styles sometimes. Project-based learning: real-world tasks like creating a video, brochure, or interview. 🎨 4. Use Creative Activities Role-play real-life scenarios (shopping, interviews, travel). Story-building: one-word-at-a-time stories, image prompts, or sentence chains. Drawing & acting: Pictionary, charades, skits. 🧩 5. Incorporate Mystery or Surprise Start with a mystery question or picture of the day. Hide clues or tasks in envelopes. Use unexpected materials like memes, emojis, or movie quotes. 🗣️ 6. Build Personal Connections Start with a fun warm-up or “question of the day.” Celebrate birthdays or achievements. Show genuine interest in their lives and progress. 🕒 7. Keep a Fast, Varied Pace Break lessons into 10–15-minute chunks. Always have a backup or “sponge” activity ready. Avoid dragging on any single task for too long. 📱 8. Use Technology Wisely Use apps: Padlet, Flip, Jamboard, Wordwall, Blooket. Let students record themselves or respond to videos. Try polls, live quizzes, and interactive boards. ✅ 9. Include Reflection and Feedback Let students rate activities (“Was this useful?” “Fun?”). Use exit tickets or quick surveys. Ask: “What should we do more of?” “Less of?” ☀️ 10. Stay Positive and Energetic Your enthusiasm is contagious. Use humor when appropriate. Don’t be afraid to have fun with your students!

Students are cognitively maxed out. Herbert Simon, Nobel laureate, noted in 1977: “A wealth of information creates a poverty of attention.” It has never been truer. Here are counterintuitive ways to encourage focus. ➜ Don't outsource foundational skills to AI The logic seems sound: let AI handle summarizing and paraphrasing to free up mental energy for analysis. But these aren't "low-level" tasks; they're essential cognitive skills. Students need to practice compression, extraction, and reformulation themselves. ➜ Design completely tech-free tasks No screens. Pen, paper, brain, silence. Then, if appropriate, compare their efforts with AI outputs or model answers. This reduces dependency, builds confidence and reveals what human thinking adds that algorithms miss. ➜ Signpost content explicitly Label it as you teach: "This is contextual information for today's discussion." "This is core knowledge you need to retain." "This is reference material you can look up later." Students waste enormous cognitive energy trying to figure out what matters. Just tell them. ➜ Assign physical books Digital reading fragments attention. Physical books create a different cognitive relationship with material — slower, deeper, with better spatial memory of where concepts appear. ➜ Teach the learning objectives, don't just post them Course syllabi on a LMS are where learning objectives go to die. Regularly recap what the whole point of the course is. Why this topic? Why now? How does today connect to the bigger picture? Orientation reduces cognitive load. ➜ Change the environment Teach outdoors or in a different campus space. Novel environments can reduce the cognitive fatigue of routine and create stronger memory encoding. Plus, movement and fresh air actually help thinking. ➜ Build in recap checkpoints Start each class with a short discussion of what was learned last time. This helps students consolidate before layering on new complexity. Accumulation without consolidation creates overload. Not everything deserves the same cognitive investment. We have to teach focus constraint. Reduce distractions, clarify priorities, build foundational capacity. Give students a chance to build the cognitive space for complexity. 💙 Congrats if you made it to the end of this post! ⬇️ If you have other suggestions, post them below.

The 2025 Student Academic Experience Survey should be a wake-up call for universities across the UK. With 68% of full-time undergraduates now working during term time (up from 42% just five years ago) the traditional model of university life is being rapidly redefined. Students are no longer just learners but are now employees too, juggling academic deadlines with shifts at work, often out of financial necessity. And as a result, something has to give and the time students spend on independent study has dropped significantly, now averaging just 11.6 hours a week. This shift has huge implications for the way universities deliver learning and it's no longer realistic to expect students to be available nine-to-five for lectures, seminars, and lab sessions. Instead, universities will need to embrace far more flexible and responsive teaching models. That means more blended learning, more asynchronous content, and a greater focus on how technology can support students who are fitting their studies around work commitments. It also raises questions about the size and function of physical estates overall. If students are spending less time on campus because of work or blended learning, do institutions still need vast buildings geared around footfall? Or should they be repurposing space to support co-working, enterprise, wellbeing, or community use? For many universities under financial pressure, rethinking estates may become not just a strategic decision, but an economic necessity. This study is yet another reminder that the university model must evolve and that, frankly, it hasn’t changed anywhere near enough in recent years. The higher education sector in the UK has been far too slow to respond to the realities of modern student life, still clinging to assumptions that no longer hold. Learning strategies must now reflect the fact that, for many students, university is just one part of a much more complex and demanding life and institutions that fail to adapt risk becoming irrelevant. Those that do could finally redefine what higher education means for a new generation.

This past semester in China was my first time teaching university students since AI chat tools went mainstream. Here's what I learned: Assignments aren't the same. Students don't go through the same struggle anymore because they can paste most assignments' instructions into their favorite AI app and submit the solution it gives. Given that around 60% of my class didn't have strong programming foundations, the overuse of AI was a problem. Students who relied too heavily on AI to generate code for practice exercises also struggled the most during tests. So...should I have banned the use of AI? Well, that didn't work for me because: 1. Advanced learners were benefiting from the correct use of AI to strengthen their understanding.  2. I wanted to prepare students for the future, where collaborating with AI and leveraging it effectively will be essential. 3. I didn't want to spend my marking and admin time being an AI detective. Here's what I did: 1. I gave students some bullet points they could use in their AI prompts. Examples: - Prepare an outline of the code and don't give me the solution straight away. - Write code comments in Simplified Chinese - Use descriptive variable names - Don't use advanced concepts such as ... - Don't use external libraries 2. I used the flipped classroom approach. - I published study notes and practice exercises before class so students could learn at their own pace. - Class time was dedicated to hands-on coding and problem-solving. - I encouraged students to work in pairs to brainstorm solutions or debug code. - I gave extra time and attention to students who struggled with core programming concepts. 3. I conducted more quizzes. - The quizzes contained practical programming exercises that tested problem-solving instead of memorization. - Quizzes were done during class time on lab computers.  - I disabled access to the internet and preloaded the computers with class notes. - Students were allowed to bring handwritten or printed notes. #education #ai #teaching #computerscience

Does teacher centred teaching reduce inequality? Yes according to this study. Explicit instruction is associated with higher mathematics attainment for low SES pupils, while student centred instruction shows no such equity effect. Takeaways: if the goal is to reduce inequality in mathematics outcomes, structured, explicit, teacher led approaches may provide a stronger academic return for pupils from less advantaged backgrounds. Both approaches were equally distributed across SES groups. The difference lay in outcomes. Student centred teaching is not automatically more equitable. In some contexts, it may simply advantage those who already possess background knowledge. https://lnkd.in/egwiEM7t

✨ Making Learning Visible: Why WALT, WILF & TIB Matter in Our Classrooms ✨ One of the most powerful ways we can support students is by helping them understand the purpose of learning, not just complete tasks. When learners know what they’re learning, why they’re learning it, and how to succeed—they build ownership, confidence, and clarity. A simple yet transformative routine many classrooms use is: 🔹 WALT — We Are Learning To… This helps students understand the learning objective in student-friendly language. Instead of guessing what the lesson is about, students start with clarity and direction. 🔹 WILF — What I’m Looking For… Here, expectations become transparent. Students know what success looks like—helping them self-assess, stay focused, and improve the quality of their work. 🔹 Success Criteria This breaks the learning goal into clear, achievable steps. It turns invisible thinking into visible learning and supports students in reflecting, revising, and seeking feedback confidently. 🔹 TIB — This Is Because… This final step answers the most important question learners have: 👉 Why does this matter? Connecting learning to real-world relevance builds motivation, engagement, and meaning. 💛 Why It Works ✔️ Creates consistency and structure ✔️ Supports goal-setting and metacognition ✔️ Enables teachers to give focused, meaningful feedback ✔️ Builds learner agency and confidence ✔️ Helps students evaluate their own progress ✔️ Supports differentiation and inclusion When implemented intentionally, this routine transforms a classroom from a place where students complete work… to a space where students understand, grow, and take ownership of their learning. 🌱 Teaching isn’t just about delivering content — it’s about empowering learners to understand their journey. Tools like this remind us that clarity isn’t just helpful — it’s kindness. #VisibleLearning #EducationTools #TeachingStrategies #Metacognition #LearnerAgency #StudentSuccess #ClassroomBestPractice #TeachersOfLinkedIn

Evidence-based teaching strategies empower educators to design lessons that are both purposeful and impactful, grounded in research that supports student achievement and equity. By incorporating practices like scaffolding, modeling, and frequent checks for understanding, teachers can anticipate learning barriers and proactively address them, ensuring all students remain engaged and supported. Preparation becomes a form of advocacy when educators review prior learning, break down new material into manageable steps, and plan for guided and independent practice, they create a roadmap that builds confidence and retention. Effective communication and clear direction foster trust, reduce cognitive overload, and allow students to focus on meaning-making rather than guesswork. To best prepare, educators can start by identifying lesson objectives, mapping out scaffolds, scripting key questions, and rehearsing transitions that support flow and clarity. These intentional moves transform classrooms into inclusive, enriching environments where every learner feels seen, capable, and connected. 🧭 Steps for Strategic Preparation 1. Clarify the Learning Objective: Start with what students should know or be able to do. Use verbs from Bloom’s taxonomy to guide the level of rigor. 2. Map the Learning Sequence: Break the lesson into digestible chunks review, model, guided practice, independent practice, and reflection. 3. Design Scaffolds and Supports: Prepare visuals, sentence starters, anchor charts, or manipulatives that help all learners access the content. 4. Script Key Questions and Prompts: Plan open-ended questions that connect new material to prior learning and encourage metacognition. 5. Plan for Checks and Feedback: Decide when and how you’ll assess understanding thumbs up/down, exit tickets, think-pair-share, etc. 6. Rehearse Transitions and Timing: Practice how you’ll move between activities, manage materials, and maintain momentum. #TeachWithIntent

After 34 years in education, working with multilingual learners from elementary through high school, one truth has remained constant for me: strong lesson planning is what truly moves students forward. Over the years, I have seen that growth does not happen by chance. It happens when we are intentional. When we clearly define both content and language objectives, we give our students a purpose. When we model learning through I do, guide them with We do, and release them with You do, we build both confidence and independence. In my ESL classroom, every step matters. I begin with clear goals, provide structured opportunities for speaking and interaction, and gradually increase the level of challenge. Scaffolding is not just support; it is the bridge that allows students to reach the next level. What has made the greatest difference in my practice is creating space for student voice. Whether through structured discussions, guided practice, or real-world connections, students need opportunities to use language with purpose. That is where true growth happens. Reflection is also essential. Each lesson gives us information. What worked? What needs adjustment? This continuous cycle allows us to refine our practice and better meet the needs of our learners. Moving students up is not about rushing the process. It is about being deliberate, consistent, and supportive. Challenge them. Support them. Provide meaningful feedback. Celebrate their progress. Every lesson is an opportunity to move our students one step higher, and after all these years, that continues to be the most rewarding part of teaching.