Special issue: Investigating the Relationship Between Generative Artificial Intelligence and History Education
Introduction
Recent scholarship has indicated that generative artificial intelligence (GenAI) technologies can create argumentative texts demonstrating sophisticated historical thinking (Kindenberg, 2024), and that these texts are judged by history teachers to be of higher quality than those created by humans (Tirado-Olivares et al., 2023). While GenAI may not be ‘thinking’ in the human sense when generating responses, its ability to effectively mimic historical thinking has raised questions concerning the purpose of history education and the value of teaching historical thinking, along with speculation about an inevitably transformed future for history education (Canadian Historical Association, n.d.).
The public launch of ChatGPT in late 2022 marked a moment of significant disruption: a time when what it meant to be a history teacher suddenly did not seem aligned with what was expected (Moylan et al., 2025). Although AI technologies like autocomplete, algorithmic recommendation systems and chatbots had existed for years, ChatGPT’s release marked the first time a widely and freely available GenAI technology could produce conversational texts that seemed as if they could have been written by a human (Heaven, 2023). It triggered a wave of contradictory media attention, which included calls to ban AI (Rosenblatt, 2023) and embrace AI (Lipman and Distler, 2023), assertions that teachers needed to catch up (D’Agostino, 2023) and slow down (Dunnigan and Richards, 2023), and speculation as to the catastrophic effects (Sanders and Schneier, 2023) and unprecedented benefits (Pesheva, 2024) of the new GenAI technology.
During this time of uncertainty, history teachers grappled with practical issues related to instruction and assessment along with more existential concerns regarding the value, purpose and future of their work. Rather than describing practical concerns and instrumental solutions, this article focuses on history teachers’ perspectives regarding the larger implications of GenAI. Drawing on data from an interview-based study conducted shortly after the release of ChatGPT with history teachers in British Columbia, Canada, this article asks:
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What is the relationship between the advent of GenAI and history teachers’ understandings of themselves and their profession?
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What can we learn from teachers’ insights at this particular moment of uncertainty?
GenAI and the educational response
GenAI is the latest development in a complex historical relationship between education and technology. Today, digital technologies are considered an essential aspect of education, as ‘we live in a “digital age” where technology products and practices can quickly become fundamental parts of everyday life’ (Selwyn, 2021, p. 1). In this pattern of development and integration, corporations typically compete to market new technologies for use in education, rather than educators determining their needs and approaching technology companies with requests for new tools (Rensfeldt and Rahm, 2022). Education is thus positioned as needing to keep up with technological developments through curricular and policy initiatives dedicated to promoting ‘digital competencies, media literacy, computational thinking, and even AI literacy as necessary skills for the future’ (Rahm, 2023, p. 7). While technological development is often seen as inevitable, it has, in fact ‘been based on politically and economically charged problematizations that, in equal measure, both create the problem as well as the most viable solutions to the problem’ (p. 7). As Rahm and Rahm-Skågeby (2023) explained, rather than problematising the unchecked advancement of digital technologies, education itself is problematised, imagined as the method by which humans can develop skills to ensure their own relevance and employability in an inevitably automated future.
GenAI and history education
Much of the literature related to history education and GenAI focuses on AI as a tool to enhance learning, improve engagement and assist with the work of lesson planning and assessment. Research has attempted to measure the effects of integrating GenAI in history teaching (Yetişensoy and Karaduman, 2024) and the value of using AI to assess students’ ‘historical competencies’ in ways that ensure ‘objectivity, validity, and replicability of ratings’ (Bertram et al., 2021, p. 1). Some describe AI as a panacea capable of transforming history education by summarising difficult historical texts, mimicking the writing styles of notable historical figures and creating visualisations that allow students to ‘explore and understand complex historical phenomena in a more engaging and interactive way’ (Berson and Berson, 2023, p. 118). Others have interacted with GenAI to evaluate its usefulness as a tool for students to converse with in history class and as a tool for teachers to use to create more engaging lessons or to develop thought-provoking questions (Yell, 2023).
Literature focused on history teachers and GenAI has typically studied teachers’ AI literacy (for example, Yetişensoy and Rapoport, 2023) or the use of AI to enhance history teacher education (for example, Al-Shammari and Al-Enezi, 2024). In much of this related literature, history teachers are described as obligated to keep up with AI’s inevitable development, with some scholars unequivocally asserting that history educators ‘will need to adapt’ (Clark and Van Kessel, 2024, p. 152). Indeed, many history teachers would likely benefit from expanding their understandings of the technological capabilities and practical implications of GenAI (Moylan and Gibson, 2025). However, extant literature has not yet adequately considered the perspectives of history teachers in relation to the significance of GenAI for their understandings of themselves and their profession. Along these lines, the introduction and development of GenAI can be understood as creating ‘conditions of significant change’ (Sachs, 2001, p. 149) that have compelled teachers to confront existential questions concerning their professional purpose and value, as well as their understandings of themselves as history teachers (Moylan et al., 2025).
History education and historical thinking
History education and historical thinking are interdependent. As Peter Seixas (2017) explained, ‘history educators must work with a model of historical thinking if they are to formulate potential progression in students’ advancement through a school history curriculum, test that progression empirically, and shape instructional experiences in order to maximize that progression’ (p. 593). While providing a comprehensive overview of historical thinking as it has been theorised in different global contexts is beyond the scope of this article, it is important to outline how it has been conceptualised and applied in British Columbia to understand the context within which study participants teach history.
Historical thinking in British Columbia
In British Columbia, historical thinking is most commonly understood according to the framework offered by the Historical Thinking Project (https://www.historicalthinking.ca/). Six historical thinking concepts make up this framework. They are: (1) historical significance, (2) primary source evidence, (3) continuity and change, (4) cause and consequence, (5) historical perspective-taking and (6) ethical dimensions (Seixas and Morton, 2013). According to Seixas (2017), these concepts are ‘procedural’ and ‘function as problems, tensions, or difficulties that demand comprehension, negotiation and, ultimately, an accommodation that is never a complete solution’ (p. 597). In history education, students can be assessed according to their ‘competence in negotiating productive solutions’ to these problems (p. 597). Although the Canadian historical thinking framework has been faulted for lacking a strong theoretical basis, for glossing over the importance of interpretation, for not making explicit connections between the six concepts and for ‘paying insufficient attention to the dynamic interrelationships of past, present, and future’ (p. 603), the framework can be applied in history classrooms in ways that allow for teachers’ professional judgement as to how exactly address those shortcomings. In British Columbia, historical thinking has been integrated into the provincial curriculum in ways that offer guidelines but allow for significant teacher autonomy.
History education in British Columbia falls under the larger umbrella of social studies, which includes required courses in grades K-10 and an extensive menu of elective courses in grades 11 and 12. For each course, learning standards are organised into two categories: curricular competencies and content. The curricular competencies are aligned with the six historical thinking concepts already described, while the content items are intentionally broad and open-ended. For example, in the 20th Century World History Grade 12 curriculum, one curricular competency reads, ‘Assess how underlying conditions and the actions of individuals or groups affect events, decisions, and developments, and analyse multiple consequences (cause and consequence)’. Content, however, includes items such as ‘authoritarian regimes’ and ‘social and cultural developments’ (Province of British Columbia, 2025).
The current British Columbia curriculum, of which social studies is one part, is the result of a redesign process that took place between 2010 and 2018. According to the province, the redesign was necessitated by the need to prepare students for our ‘technology-rich world, where communication is instant and information is immediately accessible’ by fostering ‘transferable’ skills for ‘21st century learning’ (Province of British Columbia, 2023).
Historical thinking and writing
As the disruption caused by the release of ChatGPT was largely related to its ability to create written text, it is also important to address the connection between historical thinking and writing. While forms of thinking can certainly happen without writing, constructing a written work can be understood as a rigorous method of thinking. As Schneider and Zakai (2016) posit, ‘historical thinking skills are developed through the process of doing history – by asking historical questions, digging through sources, and then crafting written arguments’ (p. 2). In history education, the value of students’ written products does not typically lie in the products themselves, but in the thinking that goes into creating the product, including ‘the critical reading of source materials, the synthesis of evidence and ideas, the formulation of a thesis and an argument, and the expression of thought in a coherent piece of writing’ (Carr, 2025, para. 9). Writing has also been shown to be closely connected to the development of critical thinking and reasoning abilities (Dowd et al., 2018), and to change how the brain functions (Ostrosky-Solís et al., 2004).
Until the advent of GenAI, the idea that learning to write well was an essential part of education was largely taken for granted. Yet some have argued recently that learning to train AI to write well has taken precedence over learning to write well oneself, and that we are facing a future in which very few people will learn to write well and in which the ‘world will be divided into writes and write-nots’ and consequently ‘thinks and think-nots’ (Graham, 2024, para. 11). For history teachers, the potential devaluation of the craft of writing may lead to questions about the potential devaluation of historical thinking, along with questions about the essential purpose of their work and their understandings of themselves.
Teacher identity formation in relation
History teachers’ identities are not only associated with writing and historical thinking; they are also connected to ‘the individual and the social, the personal and the political, self and other’ (Clarke, 2009, p. 149). Drawing on Foucault’s conception of ethics as self-formation, Matthew Clarke (2009) theorised a view of teacher identity as an ongoing ethico-political exercise in which one is constrained by the discursive and social while simultaneously having the capacity to negotiate an understanding of oneself within those constraints. In Clarke’s view, teacher identity is constructed through ethical judgements within political structures in which power is generative and always exists in relation (Foucault, 1987). As Clarke (2009) explained, ‘the pervasiveness of power relations constituting us as subjects, along with the corollary pervasive existence of freedom that this implies, means that we have to make choices, and … these actually are choices, albeit constrained ones’ (p. 154). Therefore, rather than viewing teacher identity as stagnant and certain, or as something imposed on a teacher from without, identity can be understood as an act of arguing for one’s self (Maclure, 1993).
Guo et al. (2021) articulated teacher identity as ‘an emergent, complex, dynamic and relational construct that is subject to ongoing construction and contestation, during which teachers’ knowledge, beliefs, attitudes, and behaviours about teaching are modified through discourses and situated practices’ (p. 249). In other words, ‘identity is always deferred and in the process of becoming – never really, never yet, never absolutely “there”’ (Maclure, 1993, p. 131). Identity is ‘unfixed and fluid, informed by lived experiences and the narratives individuals share about these experiences’ (Woolhouse, 2024, p. 1512). Teachers’ experiences necessarily include those that occur within educational institutions with their particular political structures, customs, rules and cultures, which ‘affirm or interrupt already held beliefs in the service of forming an identity’ (Mathews et al., 2017, p. 26).
This understanding of teacher identity – as a contingent, constrained, emergent and fluid ethico-political exercise – allows us to consider history teacher self-formation in relation to the uncertainty caused by the introduction of GenAI in society. As Deborah Britzman (2007) explained, teachers’ self-understandings may be especially open to reconsideration at uncertain times like these. Understanding history teacher identity formation as tangled up in professional discourses, curricular standards, institutional regulations and integrated technological systems, and as involving an ongoing process of agentic negotiation in relation to these discursive and social structures, provides a useful lens through which to consider the perspectives of study participants.
Methodology
This research aimed to understand the relationship between the advent of GenAI and history teachers’ understandings of themselves and their profession, and to learn from teachers’ insights at a particular moment of uncertainly. To address these research questions, an unstructured, conversational approach to interviews was employed. Unstructured interviews allow for participants to broach topics that matter most to them within the conversational frame established by the researcher (Mueller and Segal, 2015). With this approach, participants can discuss their perspectives more ‘naturally and freely’ than they can with structured or semi-structured interviews (Burgess, 1982/2005, p. 165).
Setting and participants
This article focuses on the perspectives of history teachers in the social studies department of an independent school in British Columbia. There, independent schools operate according to the same standards of education as public schools and use the provincial curriculum but are privately funded, typically through tuition paid by students’ families (Province of British Columbia, 2024). The particular independent school in which participants worked is located in an affluent community and is rich in technology. Classrooms are equipped with the latest digital technologies, teachers typically structure their lessons around digital platforms, and students bring at least one personal laptop or tablet to school with them in addition to their smartphones and other internet-enabled devices.
While all nine teachers in the social studies department were interviewed, this article considers the perspectives of the five teachers who taught history courses. The other four teachers taught a variety of geography, economics and philosophy courses, and did not refer to themselves as history teachers or refer to history education in their interviews.
Participants were previously known to the researcher due to her prior research work in the school and some are part of an ongoing research relationship. Participants were invited to participate in early March 2023 and were informed that their participation in the study was entirely optional and in no way related to other research studies. Specifically, the researcher ensured that participants understood that the study described in this article, which the researcher decided to conduct in response to the emergence of uncertain and contradictory public discourse concerning GenAI, was separate from another larger, ongoing research project the researcher was conducting at the school.
Data generation
The researcher conducted one-on-one interviews using her university’s secure Zoom platform between 6 March and 4 April 2023. Interviews lasted between 60 and 90 minutes. Zoom interviews allowed for greater flexibility in accommodating teachers’ busy schedules. Some teachers chose to use time between class periods to participate in the research interviews during the school day, while others preferred to schedule their interviews for times they were at home, in the evening or at the weekend. Using Zoom also gave teachers more control over how they presented themselves, as they could choose to use Zoom’s features to obscure their backgrounds or turn off their cameras, though none of them did so. Verbal consent was recorded at the start of each interview, after which the researcher briefly explained the unstructured interview approach, encouraging each participant to think of the meeting as a conversation.
Although the researcher was interested in the relationship between history education and GenAI, and although participants were aware of the researcher’s background as a social studies teacher and interest in the perspectives of social studies teachers in particular, the conversational framework offered only minimal reference to anything specifically related to history, allowing participants a great deal of discretion as to if and how they verbalised their viewpoints in relation to their specific discipline.
A set of broad, open-ended questions was drafted before the interviews. Examples of questions included ‘What are your thoughts about ChatGPT?’ and ‘To what extent and in what ways is AI related to your work, if at all?’ Although the researcher referred to the same question draft during each interview, she did not address each question with every participant nor ask questions in the same order. Rather, the researcher adopted a responsive approach, asking follow-up questions to guide the conversation towards topics related to the research questions while carefully leaving room for participants to share what mattered most to them. This approach aligned with the view of teacher identity as a process by which teachers give an account of themselves (Maclure, 1993) and as partially formed through the narratives teachers share about their experiences (Woolhouse, 2024). During each interview, the researcher referred to her own experiences as a former social studies teacher when those experiences related to those of the particular participant. For example, when one teacher mentioned teaching about Japanese internment in North America, the researcher remarked that she had typically found students were quite interested in learning about the topic. Teachers were also welcomed to ask the researcher questions about her thoughts or perspective at any point during the interview. The four teachers who enquired about the researcher’s thoughts concerning AI and education waited to do so until the end of their interviews. If the researcher’s perspective differed from a participant’s, the researcher discussed differences delicately while taking care to affirm the participant’s perspectives and experiences. Through research conversation as the ‘route within which discourses, personal histories and power relations are entwined and materialised through individuals’ beliefs, values or practices’ (Woolhouse, 2024, p. 1515), teachers shared their perspectives while engaging in partial exercises of ethico-political self-formation.
Analysis
Analysis was ongoing throughout the process of conducting and transcribing the interviews according to the approach outlined by Braun et al. (2019). Zoom’s automated transcription function was used to generate initial transcripts of each interview. The researcher closely edited each transcript for accuracy while listening to the audio recording, then immersed herself in the data by reading and rereading each transcript, making research notes while reading. Data were interpreted reflexively to gain insight into latent understandings (Braun and Clarke, 2006; Finlay, 2012). The researcher developed a coding scheme aligned with the understandings of historical thinking and teacher ethico-political identity formation described and added new codes throughout the analytical process to better capture nuances in the data. The main focus of analysis was to identify instances in which participants’ perspectives about GenAI, historical thinking and their own professional purpose converged. Data were coded, and coded data were further analysed to ‘provide a coherent and compelling interpretation of the data, grounded in the data’ (Braun et al., 2019, p. 848) and in relation to the research aims.
Each participant is identified using a pseudonym. Some quotes have been lightly edited by removing excessive verbal disfluencies such as ‘um’ and ‘like’ in the service of improving clarity and readability. Direct quotations and paraphrases have undergone member checks. The study was approved by the Behavioural Research Ethics Board at the researcher’s university as part of a course-based approval process (BREB #H12-03322). (At the researcher’s university, course-based approval can be obtained for a research project that is undertaken for graduate credit. In these cases, one ethics board application is used for multiple research studies that fit within the same parameters and level of risk. Through this process, this doctoral student study was approved by the university’s Behavioural Research Ethics Board.)
Findings
To best address this article’s research questions, findings have been organised according to each teacher’s perspective. Rather than focusing on statements removed from the holistic viewpoint of a particular teacher and grouping them into themes, this article aims to capture each teacher’s personal, albeit fragmented, perspective. Examining the attitudes and tensions evident in individual teachers’ responses allowed for the development of nuanced understandings of teachers’ perceptions. While there were some areas of overlap between and among the five teachers, particularly regarding more instrumental questions about assessment and academic integrity, each teacher conveyed a distinct viewpoint concerning their perspectives on GenAI, historical thinking and their ethico-political commitments. The pseudonymously identified teachers included in this study were John (19 years of teaching experience), Willem (3 years of teaching experience), Christina (20 years of teaching experience), Liz (8 years of teaching experience) and Thomas (15 years of teaching experience).
John: leveraging the inevitable
When I first learned about ChatGPT, I was excited. Right from the get-go. I’m more of an optimist about this. I don’t have any major concerns, and if I do, I then fall on more of a fatalistic argument, which is, there is no way to stop this, so we have to take advantage of it. – John
At the time of this study, John had been a history teacher for 19 years. He described having ‘always really like history’ and always doing well in his history courses in school. When explaining his decision to become a history teacher, he recalled reviewing his old report cards and realising his ‘good marks’ indicated history was something he was good at. This led him to pursue an undergraduate degree in history, followed by a Bachelor of Education degree. He was then ‘lucky enough’ to land his ‘dream teaching job’ at his current school ‘right out of the B.Ed. program’.
Before moving onto John’s thoughts regarding GenAI, it is helpful to consider his perspective on British Columbia’s curriculum redesign process in relation to history education. As John explained:
Overall, within this province, for the first 15 years of my career, history was mostly content driven with the only skills being writing and research. And then, now we’re historical thinking focused, which is a whole interesting challenge of, how exactly do you teach competencies and skills? How exactly do you assess them? And so, it’s been a relearning for social studies teachers to change because, of course, we love content, right? And we’ve – and I’ve been trained to deliver content in an efficient, and I like to think engaging way. So, I’ve stayed a teacher this long, and what’s valued is different now, right? And so, I have to rationalize that with my own professionalism, and then what the province wants me to do, and then what’s relevant for the kids coming out of high school.
From John’s perspective, the shift to a curriculum focused on historical thinking required a dramatic shift from ‘delivering content’ to helping students develop thinking and reasoning capacities in relation to history. While it seems unlikely that history education in British Columbia had been devoid of historical thinking, or that teaching students to write and conduct research was as simplistic as it may have seemed, the curricular redesign made historical thinking the explicit focus of history education in the province.
Concerning GenAI, John repeatedly expressed his belief that it didn’t matter what his thoughts were because ‘it’s not going anywhere’. He justified his position by recalling the many technological changes he had witnessed over the course of his career, from the presence of computers in his classrooms to the introduction of Wikipedia, to the more recent ubiquity of mobile phones. As he explained, ‘I think about when the Internet first came in, or laptops, or all that kind of stuff. It’s just a weird inevitability that this will seep into me personally.’
John seemed resigned to what he views as the inescapability of AI ‘seeping’ into him. Although he appears to be conveying the sense that he is completely without agency in relation to GenAI, and that when it comes to the role of technology in education, time simply marches on, there is more to John’s perspective than this. Examining John’s thoughts about historical content helps in understanding his perspective:
So, in terms of historical content, what I think is of greater value now is the evaluation of the facts and information, right? Now, we just seem to get into what’s real and what’s not, and teaching people to scrutinise sources of information and things like that. So, in something like twentieth-century history, when you get rid of the textbook and you move to a historical thinking skills-based thing, you actually just enlarge the content that you can cover and then decrease the amount of time you have to actually cover it, because you need time to work on skills. So, recalling information has become way easier, because smartphones are synonymous with people holding the Internet in their hands, right? So, you can easily just look stuff up. Thinking about AI, we need to teach students to leverage those historical thinking skills to evaluate the content AI creates. The degree that I can be the teacher and have the course that integrates AI is an advantage on the ground level. Also, I think students and everyone else will see the relevance and the transferable skills that will come across from this.
Perhaps John’s resignation to the seemingly inevitable comes not from a belief that he lacks agency, but from a focus on demonstrating his own continued relevance and the relevance of history education in the age of AI. To John, the ‘content’ of history has lost its significance as technological developments increasingly allow for immediate retrieval of ‘facts and information’, of which AI-generated content is the latest variety. The development of GenAI, on top of the provincial curricular redesign, seem to have contributed to John’s belief that to avoid becoming obsolete he needs to ‘leverage’ historical thinking in a way that seems relevant to students entering an AI-infused workforce. Along these lines, history education could seem valuable only insofar as it teaches students ‘transferable’ skills that can be applied outside of the discipline of history. This is not to say John fully believes this or wants it to be the way things are. In his refusal to admit that his feelings about AI might matter, he may be prioritising self-preservation at a time of significant uncertainty. In many ways, John’s arguments for himself and his profession are materialisations of societal values he has identified in the redesigned curriculum and the context within which he works.
Willem: holding on to humanity
Trying ChatGPT for the first time – it felt weird. Like, it was … It just felt weird, and I was trying to understand why it felt weird, and I guess the only thing I can really say is it just feels like we’re outsourcing something human to this thing. We’re giving it away from ourselves. – Willem
Willem grew up in a family that moved back and forth between Canada and Europe. He described his childhood split between different cultures as shaping his decision to become a history teacher. He explained, ‘I always had, from a young age, an understanding of the impact that culture has on you as an individual, which then led me to be interested in different cultures, which then led to an interest in history.’ He said he has always been fascinated with the ways ‘people engage with one another, and how they engage with institutions, and then how institutions form nations, and how those people interact with each other’. After spending time as an adult living ‘off the grid’ in remote areas, he decided to earn a Bachelor of Education degree and ‘put down roots’. He was in his third year as a teacher when he participated in this study.
Willem’s most pressing concern regarding GenAI was not about the technology itself, but about the ease with which others ‘outsourced’ their human capacities to the technology. Upon encountering ChatGPT for the first time, he immediately felt a sense of uncanniness and connected the technology’s capabilities to a diminishment in human reasoning and thought. He elaborated this position further through the following example:
I’ve got a kid in my class, and they had to do a written response question. It wasn’t even an essay. The question, it started off with, ‘what do you believe’. And I forget what the exact question was, but it was something about the Royal Proclamation, and he wrote this response, and I … immediately, I knew he didn’t write this. I knew AI wrote this. And I got mad at him. The thing is, this assignment didn’t count for marks, but what actually angers me is that he just outsourced his thinking on a question about what he believed. Not, ‘what year did this happen’, but his opinion just got outsourced to AI. And that’s what I think is the real risk with this technology. This over-reliance, over-dependence on using this thing, not for recalling dates or facts but, actually, for how you feel about something, and how you reflect what your opinion is. I would consider that to be a risk. I would say we’re very much at the bottom of this mountain staring up at it, trying to figure out what the hell it even is.
Willem’s emphasis on the student’s decision to outsource his beliefs (as opposed to ‘dates or facts’) to AI is exemplary of his view that historical thinking happens through the process of synthesising evidence and making reasoned judgements about historical events. While Willem seems to see the use of technology to recall information as acceptable, using GenAI to do the work of making historical judgements crosses an important line.
Willem became a history teacher because of his intense interest in human culture and relationships and his desire to build connections with students through the collaborative study of humanity. As he put it, ‘your interaction with young community members is what makes the job meaningful’. For Willem, being a history teacher is not only about teaching students how to think historically, but about building relationships with other human beings. For a student to introduce GenAI as an unwelcome mediator in that relationship seems to have been a great disappointment to Willem and one that may have struck at the core of his professional self-understanding. Willem was angry not because his student cheated on an assignment, but because he relinquished a central human capacity to the technology and allowed that technology to disrupt a student–teacher relationship he valued.
Christina: rediscovering purpose
Initially, I guess there was worry. And then being in my classes and still being so useful even with the advent of this tool brought my worry down quite a bit. Because they still gravitate to me to unravel their thinking, and they still look to me to make sense of an idea. At the end of the day, they realize there’s a gap in their understanding. So, that’s where my worry kind of washed away. The thing will produce an essay, but they can’t tell if it’s good. So, I went from worried to finding some uses for myself again. – Christina
Christina had been a teacher for 20 years at the time of this study. After completing her undergraduate degree and briefly working for the federal government, she spent time travelling and teaching in Asia and earned a ‘Cracker Jack box’ teaching certificate before deciding to pursue a Bachelor of Education degree. (Christina’s description of her teaching certification as ‘Cracker Jack box’ alludes to a once popular snack food in North America that came with a cheap toy in every box.) She described history class as the place students should learn how to argue well and that students should ‘be able to battle back’ with her. As she explained, ‘They should come out strong in their understanding. They should be able to put me in my place, or at least teach me something, a perspective, because they’re the younger generation; they’re woke.’
Christina’s experiences concerning GenAI in the first few months after the launch of ChatGPT at first left her feeling worried; however, that worry was soon replaced by a renewed sense of purpose after noticing that her students still relied on her to help them think. As she explained:
So, if we think about the six historical thinking concepts, like evidence and interpretation, right? Sure, they can use AI to find the evidence. They can find the evidence, but they cannot interpret. They could throw a question into ChatGPT, they can generate an outline, they can get a response. But do they actually understand anything?
To better illustrate her point, Christina described a conversation with a student who was having trouble writing an essay related to Japanese internment during the Second World War. As she explained, ‘One of the historical thinking concepts is ethical dimensions. So, they had photos, they had primary sources, and the task was, reconstruct the Japanese Canadian experience before and during the war, and focus on the ethical dimension. And the student was lost.’ Christina described her conversation with the student during which she asked a string of questions to painstakingly help him think through primary source evidence. After meticulously working through documents demonstrating the segregation and discrimination Japanese Canadians had faced, the student’s conclusion was that Japanese Canadians were mistreated because all immigrants to Canada are mistreated and that this mistreatment is simply a rite of passage. Christina described feeling shocked and disappointed and noted that the student ‘walked away so frustrated’ with her. As she explained:
He was irate, and he said, ‘When I go home, I’m just going to put it in ChatGPT, and I’m going to see what I get.’ And I said, ‘Okay. But you see the problem is that you cannot show empathy. You cannot put yourself in someone else’s shoes, and you cannot see the moral dilemma, or the ethical dilemma, and the marginalization or the consequences of marginalization.’ And I’m sure the boy was not heartless, but he was just lost as to how to do this. So, sure, they can use ChatGPT to get a response. But how much would they learn from that response? What we’re trying to do is change students’ minds. Not to make them agree with us, but to actually change their minds. We’re trying to impress upon them some ways of thinking and some values. But he would have gotten a good mark, likely, because I’ve seen what those things can produce. If the student knows to pick certain pieces of evidence to insert into the response, he could have gotten a good mark. But what would be his big takeaway? That it’s normal to marginalize newcomers in Canada.
As a history teacher, Christina sees herself as tasked with developing students’ capacities for perspective-taking, empathy and ethical thought. Historical thinking, in her view, helps students articulate arguments and support those arguments with evidence. She doesn’t seem to see GenAI as a threat because, to Christina, GenAI has nothing to do with thinking. While she did mention her worries about written assessment at other points in our conversation, she seems to see writing for assessment as distinct from writing as a form of thinking. Her statement that students still need her to ‘help them think along the way’ seems to indicate her belief in her continued value as a history teacher as long as thinking remains valued in history education.
Liz: defending against injustice
What’s worrisome about these reality-creating tools, like ChatGPT, is that they are imagination reducing. They reduce our powers. They cut, they shut down imagination. They benefit from kids not knowing what they don’t know, from everyone not knowing what they don’t know. – Liz
At the time of our conversation, Liz had been a teacher for eight years and had worked in public schools as well as a variety of independent settings that ranged from ‘schools that followed a for-profit model when times were tough and [she] needed the work’ to ‘deeply hippie independent schools in the middle of the woods’. Liz had earned a bachelor’s degree in international relations and a master’s degree in Canadian feminist literature before getting a Bachelor of Education degree and becoming a teacher. She described herself as an activist and connected her identity as a history teacher to her commitment to social justice. As she explained, ‘I realized that the intellectual project of my life is historical in nature, and that I’ve always searched for reasons in history to answer my questions about injustice in the present.’
Liz described her main concerns about GenAI as related to the motivations of the technology corporations leading their development. As a history teacher, she felt it was her job to help students build their defences against the capitalist value judgements that were embedded within technologies like ChatGPT, which, despite the generally neutral-sounding language they generate, were designed according to a certain set of assumptions and beliefs. As she put it:
I feel very clearly that my classroom is an ethical place, and it’s where we learn about ethics and principles, and where we ask honest questions. And relationally, inside a solid community space, we can navigate the things that Silicon Valley throws at us. As we know, the people who make this AI stuff, they know what they’re doing with it, but they don’t know what the implications will be. That’s an amoral place, and they assume an apolitical perspective. We know that what they’re doing has moral implications, and we know it has political implications. So, the best armour we have is community, and thinking, and building kids’ own sense of self and principles.
Thinking, for Liz, is a way to fight back. She characterised GenAI technologies as oppressive tools designed to take advantage of people, especially young people, who may not fully understand the law, their rights or how AI works. Throughout our conversation, she emphasised her scepticism regarding any potential benefits of AI and noted her ‘clear suspicion of the drawbacks of this thing’. Liz saw her role as teaching students how to think about the past so they are prepared to fight against the injustices of the present and the challenges of the future. GenAI, from Liz’s point of view, is part of these injustices and challenges, and needs to be defended against.
Liz described her students’ use of the technology as ‘pacifying’ and voiced her belief that students are utterly lacking in ownership and agency in relation to GenAI. However, she was also quick to express her displeasure at saying such things. As she exclaimed:
I hate talking like that. My currency is hope, man! I’m a social studies teacher. The currency here is activism, and that means personal inspiration. Investment in your society and putting yourself on the line to change it for others for the better. Excellence in activism, right? It’s not about you. It’s about the other people you can affect, and maybe the people who aren’t here yet.
Rather than viewing it as a threat, Liz seemed to see the advent of ChatGPT as an opportunity to reaffirm her values in the face of what she saw as another oppressive capitalist development. She seemed to be proclaiming her commitment to remaining steadfast in her understanding of her professional purpose – to teach students historical thinking capacities as a method of building their defences against oppression.
Thomas: resisting thoughtlessness
In every way, on every end, I’m completely opposed to AI. Maybe it’s an alarmist attitude, but I only see one place where this is going, and it’s not going to make anyone think more deeply. – Thomas
Thomas described himself as always having an interest in history but that he ‘wasn’t quite sure what to do with that interest’ after finishing his bachelor’s degree. He decided to earn his teaching qualifications and, in the process, discovered he enjoyed teaching young people. Thomas expressed his belief in the value of teaching students to think historically so as to encourage civic participation in an era when ‘those in power are constantly reinterpreting history to serve their own ends, to make sure they maintain control’. When we spoke, Thomas was in his fifteenth year of teaching.
Throughout our conversation, Thomas drew on a rich array of historical examples to justify his reaction to the arrival of GenAI. At times, he expressed exasperation that we, as a society, did not seem to have learned anything from the lessons of the past. For Thomas, it was clear that the new technology would only serve to debase human labour and intellect to the benefit of those in power. In one example, he described the connection between GenAI and the Luddite movement of the nineteenth century:
I just did a unit about the Industrial Revolution, and I always like to talk about the Luddites. The term has become kind of loaded. It just has a negative connotation, but really, they were on the side of the future. You know, they said, if your labour can be done by a machine, then your labour is worth nothing, thus you are worth nothing. That’s essentially what it comes down to, and you don’t have to be a little Marxist to understand that. I’m opposed to AI because it is doing the same thing. It is devaluing humanity.
Thomas also described his pessimistic outlook towards GenAI as connected to a ‘larger mood about the state of the world and its descent into whatever the hell is going on’. He was quick to point out that this attitude was not the one he projected when working with students. As he explained:
In my classroom, I don’t say this. I also don’t say ‘Everything is going to be great!’ But I try to look at it more from an objective point of view, and not, you know, say ‘Everything’s terrible. Here’s why.’ So, I say, ‘Let’s look at this. What do you think about it? What’s the significance of this? What has led to this AI being a thing we are seeming to accept and maybe embrace as part of life now? What are the ethical questions about this?’ I think it’s important to not let my own feelings or inclinations cloud what I do. I’m not neutral, but I try to point out things, and I try to get them to think about them. And maybe those are things they wouldn’t think about otherwise.
Thomas’s approach to discussing GenAI with his students seems firmly grounded in historical thinking concepts, and his position seems to be that students benefit from learning how to think historically about AI. As a history teacher, he feels it is important to restrain his rather blunt and negative language and to focus on guiding his students in their own enquiries.
At another point in our conversation Thomas described his students as ‘not thinking about it, and just using it, and not thinking about the larger implications’. His initial reaction – that AI is not going to make anyone think more deeply – seems to align with what he has observed. Although he feels the impact he can make is somewhat limited because ‘lots of other teachers seem to just say, “oh, it’s another teaching tool, no big deal”’ and because ‘everything with teaching is tied to some type of technology’, he is also committed to taking a stance as a teacher who ‘sees the problems with this thing’.
Thomas is also very clear in his belief that something needs to be done to halt the unbridled growth of AI and that this is largely out of his hands. He again draws lessons from history to explain this position:
We need regulation. It’s leaded gas, basically. The car runs. You don’t see the problem. Everything’s great. No big deal. And, you know, I don’t think anyone’s going to die from ChatGPT. Not immediately, anyway. But people’s livelihoods are going to be destroyed, people are going to be exploited. It’s another utopian idea that’s invented by, I don’t know, wilfully naive people who think technology solves all your problems. Technology doesn’t solve all your problems. Just an example, the cholera epidemic in Victorian London, it happened because people were living in cities and started using water closets, and having plumbing, something we think of as good and sanitary. Because of this new technology, the whole water table was polluted, and people were dropping like flies. Technology is not necessarily the solution. What solved the cholera epidemic? Regulation. Not technology. So, you can only have one that works if you have the other, you know? Cars didn’t have seat belts, and they did have leaded gas. They were not safe. So, things changed, and not as many people are dead. And when it comes to AI, why would the people in charge pass any regulation if we don’t make them?
Discussion
This study aimed to understand the relationship between the advent of GenAI and history teachers’ understandings of themselves and their profession, and to build knowledge based on history teachers’ insights. The introduction of GenAI created conditions of uncertainty within which the history teachers in this study renegotiated their understandings of themselves and their profession (Britzman, 2007; Sachs, 2001). Through our research conversations, teachers carefully considered and reflected on their recent experiences, and articulated these experiences in ways that demonstrated their ongoing ethico-political identity formation in relation to GenAI (Clarke, 2009; Woolhouse, 2024). Although teachers also shared concerns regarding academic integrity and assessment, they were primarily focused on deeper questions, which they often connected to historical thinking concepts.
Despite differences, teachers’ views demonstrated their beliefs in the value of thinking historically for understanding the past, making sense of the present and considering possibilities for the future in relation to GenAI. Some history teachers, like John, may view historical thinking as an important set of competencies to be ‘leveraged’ in order to assess AI-generated content and may see historical thinking as mainly valuable to the degree that it can help students develop ‘transferable’ skills to be applied elsewhere. Other history teachers may view historical thinking as a method by which to reinforce students’ human capacities in the face of GenAI technologies that threaten to undermine those capacities, as Willem articulated. When confronted with GenAI’s capabilities, some history teachers, like Christina, may find their initial worry fading away as they notice students increasingly need help thinking through complex historical issues. They may also find themselves renewing their commitment to building community and encouraging activism through history education to arm students in the fight for a human future, as Liz described. Still other history teachers may see it as their duty to help students develop historical enquiries in relation to GenAI, even if they, like Thomas, feel highly pessimistic about the new technology.
Although history teachers may align themselves with one of the five perspectives described in this article, they may also find themselves somewhere between or outside the viewpoints represented here. The purpose of this article was not to present a definitive set of perspectives on the relationship between GenAI and history teachers’ understandings of themselves and their profession, but to understand how this relationship was manifested through teachers’ accounts of themselves. Notably, this research demonstrated that, even when faced with contradictory discourse and tremendous uncertainty, the history teacher participants engaged in complex processes of reflection, consideration, evaluation and negotiation. While much of the extant literature related to history education and GenAI has positioned teachers as lagging behind the demands of the new technology (Berson and Berson, 2023; Clark and Van Kessel, 2024; Yetişensoy and Rapoport, 2023), the history teachers in this study demonstrated that they are highly capable thinkers, and that they possess capacities for complex analysis of the larger ethical and social issues related to GenAI while also contending with the necessity to reconsider their understandings of themselves and their profession in relation to the new technology. This is not to say efforts to help history teachers develop more comprehensive understandings of the technical aspects and practical implications of GenAI should be abandoned, but that when doing so we should also leave space for history teachers to contribute their valuable perspectives and thoughtful analyses.
Participants’ perspectives pointed to several key insights in relation to GenAI and history education. As several teachers in this study proposed, approaching the recent development of GenAI as a significant part of history and teaching students to think historically about GenAI can help them consider the personal, social and ethical implications of the new technology. It may also be part of an effort to build students’ agentic capacities in relation to digital technologies, as Liz seemed to suggest, and may help them make better-reasoned judgements before outsourcing their thinking, as Willem put it, to GenAI. Rather than indicating an end to the need for historical thinking, teachers seemed to view the new technology as a professional call to arms of sorts, emphasising the increased value of their work and their profession in the face of GenAI technologies that can mimic the work of meaning-making. Participants also demonstrated an implicit understanding of the historical relationship between technology and education (Rahm, 2023; Rahm and Rahm-Skågeby, 2023) and most articulated a refusal to accept an instrumentalist view of themselves as tasked with prioritising students’ future employability at the expense of their humanity.
This study could be considered limited by the small sample size and the focus on teachers from one department in one school at one particular moment in time. While the small sample meant that teachers perspectives were particular to one context, it also allowed for the consideration of different self-understandings within similar discursive and material constraints. Gathering teachers’ perspectives at a particular moment in time presented a unique opportunity to analyse history teachers’ self-formation under conditions of significant change. As teachers grappled with uncertainty related to the introduction of GenAI, they were also pushed into confrontations with their selves, their values and the purposes of their profession. Future research investigating history teachers’ perspectives in a variety of contexts as GenAI technologies continue to develop and be integrated across society would help develop a more comprehensive understanding of the ongoing nuances of the relationship between GenAI and history education. Additionally, future research with these five participants would help understand how their ongoing ethico-political processes of self-understanding have continued to unfold and the extent to which their perspectives may have become more aligned as guidance and policies regarding GenAI in their context have developed.
Conclusion
This research has demonstrated the importance of thinking about GenAI in history education beyond the user–tool relationship. Although GenAI’s technical capabilities and the related popular and academic discourse has shifted and developed since the time of this study, the issues at the heart of GenAI and history education have remained. Perhaps the value of GenAI in history education lies not in what it can and cannot generate, but in what its existence generates within us, what it forces us to interrogate, what it calls into question and what it makes clear. Perhaps the value of GenAI is in how it helps us remember the significance of human relationships in education, how it reminds us of why we study the human condition in the first place, how technology has always been part of that condition and how, despite dominant assertions to the contrary, we have a say in what happens going forward.
Data and materials availability statement
The datasets generated and analysed during the current study are available from the corresponding author on reasonable request.
Statement on the use of GenAI in this manuscript
GenAI was not used at any stage of this research study or in the writing and revising of this manuscript.
Declarations and conflicts of interest
Research ethics statement
This research was approved by the University of British Columbia’s Behavioural Research Ethics Board as part of a course-based approval process (BREB #H12-03322).
Consent for publication statement
The author declares that research participants’ informed consent to publication of findings – including photos, videos and any personal or identifiable information – was secured prior to publication.
Conflicts of interest statement
The author declares no conflicts of interest with this work. All efforts to sufficiently anonymise the author during peer review of this article have been made. The author declares no further conflicts with this article.
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