Bridging Generations in ELT: The never-ending story?

Karin Rossbach, M.Ed. Universidad del Valle de Guatemala, Guatemala City, Guatemala

As a Gen X English language teacher, I often reflect on whether—after decades in the profession—I still want to devote my life to education. I taught Millennials through shifts in identity, motivation, and technology use, only to meet a new reality with Gen Z, and soon, an even more digitally immersed Generation Alpha. The challenges feel familiar yet distinct: shifting notions of teacher authority, fragmented attention, fragile oral‑language confidence, varied socio‑emotional development, and new tensions around academic integrity as generative AI reshapes learning. Recent studies show that Gen Z embraces GenAI far more readily than Gen X or Millennial educators, who express heightened concerns about overreliance and ethics—highlighting a widening AI “generation gap” in higher education. The wider the generational gap, the more challenging it seems to build a bridge between the teacher and the students.

Yet over time I’ve learned I’m not alone. Colleagues from Baby Boomer to Millennial cohorts in ELT describe similar struggles reconciling what today’s learners expect with the norms and practices that shaped us as students and teachers. Will we ever bring the walls of stereotypes down to build bridges for cooperation and mutual understanding?

Even though the concept of “generation” was invented by marketing to comprehend age-related buying preferences, we cannot deny that such a concept has turned out to be effective in mapping not only purchasing habits but behavioral patterns and value systems. Understanding today’s learners requires recognizing the diverse generational backgrounds that shape their experiences, expectations, and learning preferences, as in higher education classrooms, different generations coexist in the student body –though youngsters seem to be the majority today-.

Baby Boomers, born between the mid‑1940s and mid‑1960s, often value structure, stability, and face‑to‑face communication. Generation X, emerging from the mid‑1960s to early 1980s, is known for independence and adaptability, having grown during rapid social and technological change. Millennials, born in the early 1980s through the mid‑1990s, tend to be collaborative, tech‑savvy, and driven by purpose. Generation Z, spanning the mid‑1990s to early 2010s, represents true digital natives who navigate information-rich environments with ease and value authenticity and immediacy. The

youngest, Generation Alpha—those born from the early 2010s onward—are growing up in a world deeply shaped by AI, personalized learning, and hyper-connectivity. Together, these groups bring a rich mosaic of perspectives into our classrooms, challenging educators to design not only learning experiences that resonate across generational lines but also classroom dynamics that bridge young people with older individuals.

Moving Beyond Labels Toward Understanding

Generational labels can help us observe large‑scale cultural trends, but they can also flatten rich individual differences. Research strongly cautions against assuming inherent skills based solely on age—particularly the idea that younger learners are “digital natives” with built‑in technological expertise or multitasking superiority. Authors like Kirschner and De Bruyckere (2017) dispel these myths, showing that so‑called digital natives do not possess advanced information‑processing capacities by default, and that multitasking is inefficient task‑switching that impairs learning.

Instead of relying on stereotypes, meaningful conversations—those moments when we pause, listen, and allow students to explain how they make sense of the world—reveal the real people behind the cohort labels. That humanizing move often dissolves misconceptions far more effectively than any generalization. What we say is not necessarily what our students hear and vice versa. Can we learn to “translate” GenZ/GenAlpha to our generational language without labeling before they speak? Before interpreting, giving our students the chance to explain themselves in their own words and paraphrase in ours for confirmation, could be a waty to learn their code...

Authority, Transparency, and Co‑Construction

One of the biggest tensions between Gen X educators and Gen Z learners lies in expectations around authority. Many educators notice what feels like increased challenge to instructions, grading criteria, or classroom norms. But new scholarship points to evolving conceptions of authority that emphasize transparency, collaboration, and reciprocal respect. A recent review of classroom authority suggests educators “authorize” themselves not only through expertise but through presence, listening, and co‑construction of classroom culture (Reid, 2023). Similarly, research on Gen Z’s authority figures shows that students still value teachers highly—second only to family—but interpret respect less through deference and more through authenticity and dialogue.

This reinforces a shift in higher education spaces: students want to understand why something matters and how it aligns with transparent expectations rather than simply following long‑standing norms. As students, none of the previous cohorts dared to express doubt or challenge rules, yet we thought about them.

Digital Pragmatics: Emojis, Tone, and Misfires

Where older generations relied on face‑to‑face cues, younger learners often default to emojis, abbreviations, and hybrid digital registers—creating fertile ground for pragmatic misunderstandings. Emoji research shows that meanings are flexible, context‑dependent, and often used by adolescents in sarcastic, playful, or phatic ways that differ significantly from adult usage, once again, what they say, or text is not necessarily what we understand and vice versa.

In higher education and ELT, this matters deeply: misinterpreted tone can be mistaken for disrespect or apathy. Teaching pragmatic competence—understanding “when, why, and how” to use language appropriately—remains a crucial part of communicative ability, as highlighted in Taguchi’s work synthesizing L2 pragmatics research (Taguchi, 2011).

Attention, Overload, and What actually helps

It is easy to declare that “today’s students have short attention spans,” but the reality is complex. Systematic work on adolescent media use finds that high digital multitasking is associated with attentional difficulties and sleep disruptions, yet causality remains dynamic and context‑dependent (Baumgartner, 2022). Furthermore, scoping reviews show that heavy screen exposure can correlate with cognitive overload and diminished sustained attention, though the severity varies widely by usage patterns.

For us in higher education ELT, the actionable insight is andragogical rather than generational: active learning, structured tasks, and metacognitive scaffolding significantly increase engagement and self‑regulation for Gen Z learners.

Oral Communication Confidence and the Language Ego

As we all know, we learn to speak by actually speaking. However, today’s English lessons face less willingness of the students to produce oral language. The polished, edited videos and podcasts English students consume on social media sets impossibly

high standards to achieve in the ELT classroom. Many learners feel their spoken English can never measure up, lowering their willingness to speak and inflating their anxiety. Classic and contemporary L2 research explains this through language ego—the sense of identity tied to using a second language—and through Foreign Language Classroom Anxiety, which correlates negatively with academic performance.

In practice, building learners’ Willingness to Communicate (WTC) is essential. WTC research shows students must feel situational confidence, supportive norms, and a communicative purpose in order to engage orally and come up with language learning outcomes that are observable.

AI, Academic Integrity, and the HE Classroom

Perhaps the tensest generational flashpoint in higher education is generative AI. UNESCO’s global guidance urges institutions to adopt human‑centered, ethically grounded policies that explicitly address privacy, age‑appropriate use, and pedagogical design (UNESCO, 2023). OECD analyses similarly emphasize building AI literacy, safeguarding critical thinking, and designing “guardrails” for equitable AI use (OECD, 2023a; 2023b). [unesco.org] As policy is not necessarily clear or universal in all academic contexts, there is always a space for learners to negotiate and get away with it, dodging the development of language skills and even critical thinking.

At the classroom level, studies show a disconnect between student and faculty views: students often see partial AI use as legitimate academic support, while faculty worry about integrity, authorship, and overreliance. These findings point not to policing alone but to the need for explicit instruction in AI ethics, transparency, and reflective use. Establishing clear policies, limits, consequences, and most importantly, rationale on the rules, both GenZs, Alphas, and previous generations can reach consensus, when we all explain, understand and value the process that develops skills rather than the final product that ends on a score.

What About Generation Alpha?

Gen Alpha is often described as a “fully digital” generation, but a 2024 systematic review finds surprisingly little empirical evidence of distinct generational traits beyond assumptions. Real concerns focus on reduced opportunities for socio‑emotional development and increased mental‑health vulnerabilities in highly digital childhoods. Though they are about to hit high school, as higher educators, we should start thinking

about their freshmen year and how we will develop communication bridges through mutual understanding and shared goals.

The takeaway? We should prepare thoughtfully but avoid premature generalizations as their trends unfold within this society that is around them.

What Keeps Us Here

Even with these generational gap challenges, I remain committed to this work. When we drop our generational shields and create spaces for real dialogue, we build bridges across assumptions, identities, and communication styles. ELT has long reminded us that communication is both human and learnable—and in a world of rapid technological and cultural shifts, that reminder feels more important than ever. Let us give ourselves the chance to listen and to explain who we are, what we expect, and what we mean, so that our job empowering youngsters to speak in English for different communication purposes continues to bridge the world as we bridge generations within our classroom.

References

OECD. (2023). *Artificial intelligence and the future of teaching and learning*. OECD Publishing.

Reid, A. (2023). Rethinking authority in contemporary classrooms: Presence, co‑construction, and relational teaching. *Pedagogy, Culture & Society, 31*(3), 389–405.

Taguchi, N. (2011). Teaching pragmatics: Trends and issues. *Annual Review of Applied Linguistics, 31*, 289–310.

UNESCO. (2023). *Guidance on generative AI in education and research*. UNESCO Publishing.

MacIntyre, P. D., Clément, R., Dörnyei, Z., & Noels, K. (1998). Conceptualizing willingness to communicate in a second language. *The Modern Language Journal, 82*(4), 545–562.

Karin Rossbach is an English language teacher and teacher trainer with over 25 years of experience. She is the Department Head of the English Language Teaching Department of Universidad del Valle de Guatemala and devoted her life to empowering others through English language teaching. Karin believes that education is the solution to every social problem that humanity faces.