Mixed emotions: What we hear when we talk to faculty about genAI

After I used the first Copilot-generated Mixed Emotions image for a LinkedIn article, CoPilot asked, “Would you like to add thunderbolts to this image?” Yes. Yes I would, and I may add thunderbolts to every image I generate from now on! The article below was originally published on LinkedIn on December 17, 2025.


As the conversation about generative artificial intelligence in education continues apace, my colleague Rick Robinson and I remain struck by the contrast drawn between faculty who refuse to embrace genAI by reverting to “old school methods" and those who adopt it enthusiastically. Our conversations with faculty from diverse disciplines at conferences and in hallways reveal a more complicated response than what we often see represented in the academic press. We don’t see opposing camps. Instead, we have discovered that concerns and resistance about using generative artificial intelligence in education develops with familiarity and use. Faculty are often torn, voicing both enthusiasm for genAI’s power, and caution about its implications. Our dialogues with faculty reveal that generative AI is seen as a tool for augmenting teaching and learning, yet one that raises pressing questions about pedagogy, critical literacy, expertise, and the human future.

The Promise of Generative AI

Faculty approach generative AI from the standpoint of learning outcomes. In architecture, for example, AI tools work as part design teams by generating preliminary designs, freeing instructor and student time to focus on the value-added elements of built structures, such as inclusive design. In healthcare education, AI‑generated scripts help nursing students practice delivering negative diagnoses to individuals who do not speak English as their first language, supporting the development of culturally appropriate, empathic communication skills. Creative writing instructors use AI to produce “wild, silly stuff” that can spark imaginative ideas, while computer programming faculty acknowledge genAI’s ability to generate workable code that students can diagnose, critique, and learn from.

To achieve learning outcomes, AI serves as a focal point for fostering engagement in the learning process. Faculty from different disciplines have adopted a similar pedagogical approach: break students into different groups and have these different student groups pose subtly different queries, and then compare the outputs, highlighting the importance of the question/prompt itself, introducing the concept of prompt engineering. Others use AI as an interlocutor who challenges student-generated arguments, prompting students to refine their reasoning. Still others ask students to critique AI outputs so that students recognize that the tool is not an oracle but a complex mathematical system with serious limitations. In these ways, faculty see AI content as raw material that can enhance engagement in the learning process while supporting the achievement of learning outcomes, such as critical thinking.

Persistent Concerns

Adopting and implementing these new learning approaches give rise to deep concerns and reservations. Chief among them is the gap in students’ critical literacy and digital literacy. Many students lack the foundational knowledge necessary to detect AI’s errors or misrepresentations, making it easy to parrot outputs uncritically. There is also an implicit trust in the technology that raises questions about whether students can evaluate information with a discerning eye. When AI can perform some tasks as well as (or better than some) human beings, there is a fear that students will lose an integrative understanding of whole concepts and how concepts within a discipline are connected.

If AI can perform certain tasks once considered foundational, should students still learn them “the traditional way?” Faculty worry that when "traditional methods" is used as a pejorative, embracing untested teaching methods just because they are "innovative" will lead to the decline of judgment, creativity, and disciplinary rigor. Concerns about bias, inequality, and creativity further complicate faculty feeling good about their use. Faculty are attuned to the reality that technologies often exacerbate existing inequities, and they are concerned that using AI will lead to a more unequal world. A preeminent concern is that when genAI is introduced, the focus of the learning process shifts from the disciplinary subject matter to the AI, and the disciplinary learning outcome is often lost or overshadowed.

Another lingering question concerns what is lost in the adoption of these new tools. History offers a glimpse to the possible answer. When calculators were introduced, they made higher levels of mathematics possible and have become ubiquitous, but there has also been a decline in students’ mental math skills. Likewise, when cursive writing was displaced by digital notetaking, what was also displaced was deep learning, memory and comprehension, fine motor skills, and the slower, more deliberate shaping of thoughts. Digital handwriting with styluses on tablets shows promise for combining the benefits of both analog and digital notetaking, but many schools reduced or cut instruction on handwriting, leading to a generational lack of handwriting muscle memory for students who never mastered it. Now that human phone conversations have been displaced, a significant number of Gen Z students dread making phone calls and talking to another human being in real-time.

The question of what is lost is one that might only be answered in the future, but we ignore it at our peril. LLMs can help learners overcome the struggle of the blank page, bypassing the creative process of ideating, but this may not be a positive development when we desperately need new, never before thought of ideas. Faculty who suspect that something significant is lost when students forego the creative process and avoid the creative struggle are intuitively on to something, even if they do not yet have all the data to prove how these tools undermine human learning.

Navigating Augmentation, Not Automation

The faculty we talk to neither refuse to use these tools, nor embrace them. They feel forced to confront them, to stand face-to-face with these artificially intelligent inventions, in part, because society rushes ahead without taking a thoughtful and deliberate approach to the implementation of new technologies in education. Many also worry that genAI will erode authentic assessment, as they see how genAI is being implemented in industry to replace human labour. But with all their concerns, many use genAI in their teaching process, seeing it as a tool for augmentation rather than automation. To draw higher-order learning from students, faculty must account for the abilities of these powerful and evolving tools while simultaneously making students conscious of the compromises being made. Implementing AI in education elevates the importance of judgment, empathy, interpersonal skills, instructional design, and assessment planning.

This was one of the most profound insights we heard: Generative AI tools are amazing, but a human being moving from ignorance to mastery is infinitely more fascinating. GenAI can augment teaching practice by increasing student engagement, but human students still need to learn how to learn, and the erosion of expertise remains, for the faculty we talk to, their biggest concern.

The Eclipse of God: Marshall McLuhan's Critique of Digital Technology

Featured Image: John Stock, Dante's Inferno, Dante and Virgil encounter Lucifer, 1923; Source: Wikimedia Commons, PD-Old-70.

When I was working on my doctoral dissertation, I came into contact with 3 individuals who shaped my thoughts about technology and its impact on what it means to be human. The first was Jacques Ellul, a very radical non-Catholic Christian. The Technological Society remains a seminal book in technology studies, and these words continue to haunt me: .

“When technique enters into every area of life, including the human, it ceases to be external to man and becomes his very substance. It is no longer face to face with man but is integrated with him, and it progressively absorbs him.” (p. 6)

The next was Ursula Franklin, a holocaust survivor who immigrated to Canada and converted to Quakerism. I wrote a tribute to her work in the Canadian Journal of the Scholarship of Teaching and Learning last year, but what is not in that article is Franklin’s direct experience of God, her ability to see God in other people, and her commitment to peace and the environment.

And finally, there was Marshall McLuhan, whose work I started to read after I found The Medium and the Light in Old Goats books in Waterloo, ON. This tribute to McLuhan was originally entitled Lucifer the Electrical Engineer, but I prefer the title the editors at Church Life Journal gave it. This piece also signifies a change in the direction of my writing. These three great thinkers each had a deep and rich spirituality. They not only helped form my thoughts about technology, they have also encouraged me to pay greater attention to God.

https://churchlifejournal.nd.edu/articles/the-eclipse-of-god-marshall-mcluhans-analysis-of-digital-technology/

A New Guide for the Perplexed

I was recently asked to provide a short back-of-cover blurb for Alym Amlani and Paul Davis’ new book: ChatGPT Ate My Homework: What Educators Need to Know about Gen AI.

The endorsement: Generative artificial intelligence has left many instructors feeling powerless, especially over their assessments. This insightful work models how to respond to generative artificial intelligence so that instructors can harness the learning opportunities these tools provide and ensure students don’t sidestep the learning process.

I was grateful for the invitation to review this eminently readable book. It models good behavior using genAI in the writing and teaching process, and it captures the real concerns many educators have. Educational resistance is not just Luddite techno-skepticism.

After reading the book, here are three things I am left wondering about: :

  1. Is it time to ditch Bloom’s taxonomy once and for all? Roland Case (2013) called Bloom’s taxonomy “one of the most destructive theories in education,” and I agree with Case’s analysis because there is not (as far as I am aware) any empirical evidence supporting Bloom’s taxonomy. Bloom’s was initially intended as a theory of assessment, not a theory of teaching, and while I adhere to the motto that “all models are broken, but some are useful,” I am not sure how useful Bloom’s is anymore. In the wake of genAI, should Bloom’s be thrown in the graveyard of bad ideas next to the myth of learning styles?

    Bloom’s has locked in as a theory of teaching because there is a truthiness to it; most people assume there are some lower-order thinking skills (memorizing and recall) and higher-order thinking skills (synthesis and evaluation). GenAI can do much lower-end “thinking” (and some pretty good higher end “thinking” such as comparing and summarizing), but how can educators start students at the higher end of the scale? If students don’t understand the basic conceptual vocabulary often taught at the “lower levels” of the hierarchy, how can learning ladder or be scaffolded? How can students evaluate concepts they don’t understand? As Case points out, “assessing students’ ability to complete the ‘higher oder’ tasks does not logically imply that students have mastered the ‘lower order’ task.” Amlani and Davis point out that teachers are concerned students will bypass a ladder, but the Bloom’s ladder does not, in fact, exist. These domains are integrated, and I quite agree with their assertion that Bloom’s looks dated. Still, they provide an expanded triangular hierarchy that continues to represent these competencies or skills as discrete blocks. This isn’t the breakthrough model we need. I don’t know what is, but I see concentric circles…Critically evaluating the results from genAI will require mastery of all these Bloom’s domains at the same time.

  2. Generative AI is not neutral – Amlani and David describe genAI as a series of neutral tools (p. 68). This represents an instrumentalist view of a technology that has values built in, which they also recognize. There is an irreconcilable contradiction here. Instrumentalism and Interactionism and are not incompatible, per se, but instrumentalism is seriously deficient. Interactionism would help focus the educational purpose of using genAI as the creation of meaning (not just jumping through a set of assessment hoops). Data is the lifeblood of AI, and ingesting data is one of its values (hence the proliferation of free versions). Profit is another value. Reciprocity is not. Some AI designers have as their stated goal putting people out of work (not just predicting that it is likely to happen, but that they WANT it to happen). What are the values that reside at the foundation of genAI? What are the values that reside at the foundation of the educational enterprise? How are they at odds? How are they compatible? How does this inform how we approach genAI from an educational perspective? Yes, genAI is here to stay and we should use it appropriately for educational purposes, but whatever appropriately means, it means putting the values, not the tool, first.

  3. Changing the game and changing the structure - Our brains are wired to seek out the best tools to earn the rewards we want. So change the nature of rewards. The holy grail that many educators have expressed to me over the past decade is that they wish they could move their students from a focus on grades to a focus on learning. Some of this work can and should happen at the micro-level (meaning within courses). I stand by the quote they use on page 154; students are largely asked to do things they don’t care about. But Amlani and Davis also include lots of good examples of occasions when students were asked to provide meaningful personal input in the learning process at no cost (couldn’t get a failing grade), and they still took the easy way out. If we did away with grades tomorrow (as Eyler suggests in Failing our Future), would that be the structural masterstroke?

    In short, genAI cannot be introduced into this ecosystem under extreme stress without some thought for how the system needs to be restructured in the wake of genAI. Massification and the significant growth of part-time faculty forces instructors to use certain types of assessment for the appearance of objectivity and time management. Rewarding creativity and originality changes the nature of the game, but how much can be done within the current structure? I agree it should happen and know that it can happen (for example, I met an Information Technology instructor who has “Daring” as a major part of his rubric)., but can the scale of change we need to adapt to the impacts of genAI happen within the current structure?

    GenAI use will be normalized, for sure, but if we are not in control of the values-based adaptations that need to take place to account for this new technology, higher education will continue to be molded to meet the needs of artificial intelligence, not the human intelligence we are supposed to cultivate.

These are three things I wonder about as I consider the best course for academic leadership to set in the wake of reading this worthwhile and helpful book.

Upholding Academic Integrity: How Libraries are Leading the AI Conversation

I participated in a panel with Erin Alcock, Jane Costello, and Josh Seeland today. Over 2,000 people registered for the webinar, and over 500 actually attended.

My job was to set the stage. I began stating that we need to approach academic integrity with a level-head. Concerns about academic integrity are nothing new, and one of the chapters in the book details the steps taken to insure unfair collaboration did not take place during civil service exams in ancient China. In 2015, Winrow pulled together a list of all the quantitative studies on academic integrity completed around the world. These are mostly self-reported studies involving a very simple methodology: a researcher asks a group of students in a particular locale: did you or did you not commit an academic integrity violation while you were in school (Full disclosure: I did! I earned money by writing research papers for friends)? Protected by anonymity, students say yes or no. These various studies establish that academic integrity violations are global, widespread, and pre-date artificial intelligence.  

But just because it’s commonplace, this is deadly serious business for colleges and universities. Academic integrity violations undermine the signal value of postsecondary credentials and may be a contributing factor to declining support for public education.

Since 2017 or so, my main focus has been on the assessment of student learning, and this is one of the connections with librarianship because academic librarians (based on the conversations I’ve had over the past decade), have seen a lot of bad research assignments. So, let’s make assessments better and proceed with that work with all haste through faculty collaborations.   

That’s good as far as it goes, but it doesn’t go very far. Assessment, just like libraries, is connected to everything else. Tracey Bretag described postsecondary education as an ecosystem under extreme stress, and librarians cannot respond to assessment or academic integrity without being cognizant of these other factors.

As only one example: 50% of all faculty in the US and Canada are now part-time instructors, and part-time faculty are the least likely to know the hows and whys of assessment. This is an important consideration when libraries approach faculty collaboration on assessments because PT faculty are distant from the institution and may be hard to collaborate with. Another exmaple: Institutions may continue to spend more on academic integrity technology (such as ineffective detectors), or buying supplier-led chatbots and other AI solutions, further displacing their ability to spend on library resources, especially at a time of funding stagnation and increasing class sizes, knowing that academic integrity violations become more likely in depersonalized learning environments.  

Generative AI complicates an environment already under extreme stress. Today’s webinar was not primarily about generative AI, but generativeAI will be a main topic or subtopic no matter where we go for some time. It will be like the Internet in 1995-1997, or the conversation around Google and the death of reference services between 1999-2011, when some said “farewell to the reference librarian.” Or what the Kindle did to library collections since it was introduced in 2007, causing a decline in physical book circulation, requiring adjustments to resource allocation, collection development strategies (from owning to leasing), and frontline customer services skills. Today’s webinar was not about those developments, but it was about change and technological change. And librarians and libraries, based on my 25 year involvement with them, have grown increasingly adaptable because the digital shift has forced them to abandon or modify just about everything - staffing levels and skills, space, collections, and services. No part of the library remains unchanged, including the profession’s attitudes and orientation to change. 

But what do these macro forces and academic integrity have to do with libraries? In short, everything. Academic integrity, especially right now, is a problem many institutions don’t know how to solve, but librarians have been involved in this space as informants, counselors, educators, detectors, and policy advisors.

My experience is that librarians also lead best through collaboration, and librarians have the skills and the approach to help their institutions figure out how to move forward. It was great to be part of this panel discussing how libraries are leading the academic integrity conversation.


 


The Right Relationship Between Teaching and Ed Tech

When I received word that one of the papers I submitted to the SoTL Commons Conference in Savannah, Georgia was accepted as a poster, I was disappointed. Then, I began to work with friend and colleague Andrea Woods who designed this amazing poster, inspired by visions of the educational future in the 1950s.

I carried a three-foot tube through several airports. It fell off a ledge from Departures to Arrivals in Edmonton, and got wedged in an overhead compartment in Atlanta, but when it finally made it to Savannah, it inspired over two hours’ worth of awesome conversations.

The paper this poster comes from is the piece of writing I am most proud of. While Franklin and this paper does not specifically mention artificial intelligence, Franklin’s observations on technology as practice are still relevant. First, genAI can assist with the dismantling of teaching from a holistic to a production level technology. Program and course design can now leverage AI to increase the speed of development. Smart Subject Matter Experts will maximize the value of these tools, and smart institutions should expect more and better from their SMEs (in themselves a form of unbundling).

GenAI also intensifies the need to design assessments to minimize disaster, specifically the disastrous risk of mass academic integrity violations. The research paper and weekly discussion posts are two forms of assessment that can be created in minutes, and faculty rightly wish to regulate and punish their inappropriate usage. This shifts an important part of teaching to the manager by way of those individuals who will be involved in cheat-proofing assessments and investigating academic integrity violations.

Even more importantly, using genAI as a teaching tool will likely make postsecondary institutions supplier-led, add to their technology expenditures, and make them less sustainable (financially and envrionmentally). The rush to maximize the value of these powerful technologies to achieve scale will override other forms of social logic.

The poster presentation ended up being the best part of the conference, and I am glad Ursula made the journey with me. It was nice to have a physical presence for someone whose writings carry much weight in my mind.

The Unified Teaching Self

I led a session at the SoTL Commons Conference in Savannah, Georgia in February 2025 that is the result of my life’s various experiences. I have been a part-time instructor needing development, the director of a faculty support unit that built programs for PT faculty, and I am now a dean in a large school that employs several PT faculty.

Part-time faculty have been described as indispensable but invisible, and since the 1970s, the major way colleges and universities have tried to lower their expenditures has been through the swelling employment of part-time instructors in place of full-time faculty. This 50-year long trend appears to be accelerating in tandem with the increased expense of educational technology. Consider: “Between 2004 and 2010, total campus teaching staff in the United States grew by about 200,000. Full-time instructors increased by about 11%, while part-time adjuncts increased their number by nearly 30%” (Aoun, 2017, p. 131). Last year, educational technology expenditures in North America were about $76.8 billion. As postsecondary institutions spend more on tech, they spend less on people.

This human resources trend is similar in Canada. More than half of all university faculty appointments in Canada are now contract appointments.

Nothing universal can be said about any group of people. Sessional faculty are a heterogenous group and there are very good reasons to use them, if they are used well. Contract faculty tend to be younger, a majority are women, and they are a mix of working professionals, retired professors, and those cannot find permanent, full-time academic appointments. Not all part-time faculty are precariously employed, but many are, and this is why scholars refer to two classes of adjunct faculty as voluntary and involuntary. Voluntary contingent faculty are more satisfied with their role and do not suffer from “incoherent and conflictive” identities.

Involuntary contingent faculty, on the other hand, “are divided selves, chameleon-like: they both accept and reject aspects of their professional roles and status; they live in the present but also in a future that is projected as better than the present.”

I have only been a voluntary part-time faculty member. I enjoyed teaching one course a year. But as an educational developer, I could see we were not serving a large part of our faculty, and as an administrator, I began to wonder about the cost of that marginalization.

Ran and Xu conclude their study of the relative effectiveness of part-time faculty by saying that the cost-savings of using part-time faculty, “may be much more complicated and obscure than expected.” In their study, students of part-time faculty received better grades than those taught by full-time faculty, but these students were also more likely to drop out of a major and postsecondary studies in general. Hiring part-time faculty appears cheaper, but this apparent cost savings must be weighed against the evidence that increased exposure to part-time faculty decreases student retention and completion in post-secondary studies. This evidence suggests the lost tuition revenue and decreased public support from bad learning experiences must be weighed against part-time faculty, who again, are not bad instructors, but instructors often put in non-ideal circumstances that do not enable them to succeed.

As a former educational developer who is now part of our senior academic leadership team, part-time faculty became a strategic focus for me. There’s a good body of work on the impacts of part-time faculty as individuals, and on students, but I couldn’t find any management literature questioning the use of part-time faculty as a cost-savings strategy, or the negative impact on the educational mission.

How do we heal these divided selves and begin to address the very complicated cost equation, recognizing of course that we can’t reverse 50 years’ worth of deprofessionalization in one master stroke? That became the essence of my research into part-time faculty development, which can eradicate some of the most “egregious aspects” of the growing adjunct situation.

What are the truly unique professional development needs of part-time instructors? And how do we get them more involved in SoTL?

To answer these questions, I conducted email interviews with over a dozen directors of teaching and learning centres across Canada. This blog post contains a brief description of the model that emerged from those conversations.

Teaching Identity

Teaching identity is a complex and multifaceted concept, but intentionally building a teaching identity for part-time faculty is vital because it touches every aspect of faculty work, including their research. Based on what I heard from directors of teaching and learning centres, part-time faculty may not see teaching as their “real job.” As one individual said, “I would say the biggest challenge is guiding faculty new from industry to see themselves as teachers.” Because of their part-time situation, part-time may also hold self-limiting beliefs, such as fear of being judged, or not being “real faculty.”

To confront this head-on, faculty development units in Canada were adapting holistic frameworks, such as Charlotte Danielson’s four domains of practice (Planning, Classroom Environment, Instruction, and Professional Responsibilities), or Maxwell’s Fail Forward philosophy, which separates the teaching self from teaching performance so that one’s self image is not dictated by external events. Failing forward is a strengths-based approach where failure is perceived as a momentary event so that individuals can be encouraged to find the approach that works for them and bounce back so that past attempts do not attack self-confidence.

SoTL could easily fit into a professional responsibilities or as a way of experimenting with new teaching approaches.

Patricia Cranton & Ellen Carrusetta’s five dimensions of authenticity in teaching would also be a great tool for building a teaching identity. Their five dimensions of authenticity begin with understanding oneself as a teacher and being able to articulate their teaching story and preferred teaching style.

Experiential Spectrum

The interviews indicated that educational development units face the same challenges of faculty teaching a classroom of 300 students. All learners exist along a spectrum of ability and experience, but most academic development opportunities, like most other teaching and learning environments, have a group of learners inhabiting the same learning environment and encountering the same material, which is why a professional development opportunity can be transformative for some and unenlightening for others.

The professional development needs for faculty will vary on the subject area, the instructor’s prior teaching experience, the comfort with certain instructional modalities, and their instructional beliefs.

Most pedagogical training is focused on new instructors and may not meet the advanced needs of more experienced part-time educators. Therefore, teacher development for part-time educators must provide personalized opportunities to instructors according to their need, experience, and skill level.

Designing individually-tailored learning experiences runs counter to the demands, experienced intensely during the pandemic, to provide professional development at scale.

Yet, this will become increasing important as educational development evolves because there will increasingly be a need to serve both novices who need orientation to proven and effective practices, and faculty who have become more proficient educators who now desire advanced opportunities to play with instructional designs and experiment with engaging new teaching tools.

Identifying part-time faculty who possess the drive to maintain their research portfolios and more experienced part-time faculty may be the first step in extending the Scholarship of Teaching and Learning to part-time faculty.

Autonomy

Based on my interviews and the best Canadian research available, many adjuncts are simply given a textbook and a syllabus and are then asked to teach course sections in classes they have never taught. This is of course a worst-case scenario, but one that is repeated at the beginning of every semester on college campuses across North America. This lack of preparation does not serve students.

And it doesn’t serve part-time faculty.

The directors of teaching and learning I spoke with recognized that many part-time faculty have little to no autonomy, and this lack of autonomy can potentially constrain teaching practices and provide a justification for not offering sufficient professional development. Part-time instructors may not know who owns the intellectual property in their courses or have a clear understanding of their right and role in course ownership.

Returning to Cranton and Carrusetta, they studied community college faculty in Canada with mandated curriculums, predetermined assessments, and other constraints who still found “interesting and innovative strategies for maintaining their stance as adult educators in a context that has many constraints against doing so” (p. 76).

They found that faculty learners want self-directing, collaborative learning activities. Engaging in a scholarship of teaching and learning team may provide the self-directed autonomy and collaboration that part-time educators lack.

Good teaching at the college level should “involve at least some measure of creativity and professorial autonomy over the conditions of faculty work,” and engaging in the Scholarship of Teaching and Learning is a way to introduce much needed autonomy to the part-time faculty role.

Assessment

Assessment is a perennial professional development topic for all faculty, but the best evidence available suggests that adjuncts use fewer assessment practices that foster student success and learning, including collaborative and active learning strategies, and creating challenging assignments for students. The non-ideal working conditions of part-time faculty do not often recognize the amount of time involved in providing meaningful, student-centred assessment practices. Assessment is some of the hardest, most-time consuming work of teaching.

Contract instructors may be given mandated assessments for their courses that may not align with their teaching identity or allow for the exercise of instructional autonomy. Consequently, contingent faculty are least likely to understand the whys and hows of assessment, and studies suggest they also grade more leniently as a job retention strategy.

Faculty should engage in more student-centred assessment practices, but that means faculty will be measuring what is hard rather than what is easy, thereby making assessment more difficult and more subjective. Part-time faculty need support in designing assessments that align to learning outcomes, leverage the affordances of technology, and allow them to assess complex skills. But they must also receive this support within professional development programs that recognize their unique working conditions by recommending reasonable assessment strategies that allow for some instructional autonomy and are cognizant of their economic realities and the increased pressure to achieve favourable student ratings.

All of this is fruitful terrain for meaningful scholarship of teaching and learning.

Research-Practitioner

Scholarly teaching, or critically reflecting on teaching practice is an intuitive, imaginative, and affective process. When formalized, critical reflection and scholarly teaching become part of the Scholarship of Teaching and Learning (SoTL).

Part-time faculty need to engage in SoTL because teaching practice is undergoing rapid change and more knowledge is being legitimated pragmatically rather than logically or empirically. Many instructors are following their instincts to meet new and increased demands, especially those presented by generative artificial intelligence. The teaching community needs to formalize and share these pragmatic insights to proactively drive, rather than react to, technological and pedagogical change. In a world defined by flux and contingency, we must tap into the world of lived experience. SoTL, and the desire to improve student learning through the investigation of teaching practices, encourages practitioner-researchers to describe precisely what they do and explain why and how certain processes effect or enhance student learning.

As Jarvis (1998) put it almost 30 years ago, “we can no longer assume that the research conducted in the past is replicable in the future” (p. 165). With changing demographics, modalities, conditions, and student abilities, and generative artificial intelligence, Jarvis’ observation is more poignant now. Consequently, many research projects need to be “small, local, and practical” (p. 167).

SoTL possesses the ability to unify the teaching identity, improve assessment practice, and introduce much needed autonomy back into the part-time faculty experience. Building research-practitioners rejects the unbundling of faculty into teaching specialists and researchers.

Many part-time faculty struggle to maintain their research profiles, but engaging in authentic, action-based research, including SoTL, is work that part-time online faculty may not be encouraged to participate in through professional development funds or receive compensation for. Hence the need for community and compensation.

Community

Social learning theories suggest learning is grounded in relationships, and the teaching identity is formed, in part, through relationships. As revealed in the interviews, one institution, in particular, was heavily invested in building community seriously, assigning all new part-time faculty a mentor to combat faculty isolation.

If institutions do not provide mentoring or take steps to meaningfully integrate part-time faculty, the institution sends the message that they do not deserve an investment of institutional effort. Furthermore, they will have no grounding in the institutional mission or the academic program’s goals. If contingency itself breaks down connections, then engaging with the SoTL community can reverse this trend. By reaching out to part-time faculty and supporting their involvement in the scholarship of teaching and learning, institutions are communicating that part-time faculty matter, which is defined as the feeling that someone counts. As does compensation.

Compensation

As an administrator, I regularly confront the sad fact that universities and colleges “are among the least engaged workplaces in the world” that “are failing to maximize the potential of their biggest asset – their faculty and staff” (Gallup, n.d., para. 1). This lack of engagement incurs real costs in the form of negative outcomes related to retention, persistence, graduation, transfer, and academic performance, particularly among first generation, low-income, and racially minoritized students, who are being called the new majority.

A defining hallmark of the professional teaching identity is professional development, but like research and scholarship, professional development has been unbundled from the teacher identity. Several directors I interviewed were taking this seriously and ensuring there were PD and research funds available for part-time faculty.

Considering the unknown costs to student retention and persistence when exposed to part-time faculty, the investment in professional development and scholarly activity for part-time faculty should be one that institutions are eager to extend. Research, especially research into the teaching experience, enables institutions to demonstrate a commitment to quality and continuous improvement. Providing adequate compensation for part-time faculty for research and scholarship or to attend professional development opportunities are two methods for reprofessionalizing part-time faculty and creating a more unified teaching self.

If it’s not compensated, it is unreasonable to expect part-time faculty – who now occupy somewhere between 50-70% of all faculty appointments in North America – to engage in this kind of activity, and institutions and their students are the ultimate losers. In a rare piece of research exploring the intersection of part-time faculty status and engagement in SoTL, the researchers wrote: “unless and until institutions change the conditions of contingency to support the full engagement of instructors in SoTL, we cannot recommend contingent instructors devote time and energy in this unpaid capacity.” Educational Development units, especially, can advocate for the kind of systemic change required.

Canadian teaching and learning centres are intentionally building teaching identities for part-time faculty who don’t identify themselves as “teachers.” Recognizing that part-time faculty are a heterogenous group with varying levels of experience, they are focusing on personalized services. in addition to building basic competence for new instructors, they are starting to talk to part-time faculty about the unique issues related to autonomy and assessment. Institutionally, they are trying to build research teams, and they are making sure that PT faculty have access to professional development and research funds.

Making the strategic choice to grow part-time faculty participation in SoTL is important for a few institutional reasons:

1. The best evidence suggests students are negatively impacted by exposure to part-time faculty. This isn’t because part-time faculty are “bad instructors” but because they are put in non-ideal working conditions. Building research-informed instruction is a strategic choice that institutions need to make at a time when postsecondary participation is being questioned in ways it never has been.

2. By building research-practitioners, institutions will be empowering individuals who have a better understanding of what they are doing and why. Engaging in SoTL is a creative way to rebundle the faculty identity, and this is a strategic choice that begins to recognize that there is a more complicated cost calculus. I doubt PT faculty engagement in SoTL is a metric that will have a direct impact on institutional rankings, but improved student success certainly will.

3. SoTL occupies a weird space in the academy. It is not hard to find the sentiment in the literature that SoTL is not considered “real research.” SoTL has battled for legitimacy for 30 years (desperately wanting to be counted in promotion and tenure decisions), but engaging in SoTL is also a privilege. If we want SoTL to grow (and I do), we need to continue the battle for legitimacy, but also extend SoTL to the margins.

Are We Asking Too Much of OER?

We are proud to announce the publication of Are We Asking Too Much of OER? in the International Review of Research in Open and Distributed Learning.

https://www.irrodl.org/index.php/irrodl/article/view/7744/6179

In a nutshell: This paper examines a pervasive discourse of disruption in OER literature by recounting a facilitated conversation with open education leaders and OER advocates at the 2023 Open Education Global conference held in Edmonton, AB. Chad Flinn and I employed Bacchi’s WPR approach (What is the Problem Represented to be?) because instead of asking how policy addresses problems, the WPR approach explores how policy constructs problems (sometimes, the very problems a policy sets out to address).

The genealogy of problem representation is an important part of the exploration. In 2007, Casserly asked, “Is OER a disruptive innovation in the education marketplace?” We sought to answer that question by illuminating the various aspirations of OER advocates, highlighting the need for OER to address issues beyond cost, such as relevance, voice and representation, adaptability, and using textbooks in pedagogically meaningful ways. A philosophical shift moved OER from alignment with the principles of open access to an exclusive emphasis on affordability, which is problematic.

Movements like OER may be accepted in the educational marketplace as long as they do not fundamentally disrupt established norms and power structures. The system tolerates OER and the radical message of openness as long as it does not actually disturb the system, so long as OER proliferation leaves the status quo intact, or insofar as OER can provide the illusion that grassroots movements can arise and change a system that is not, in fact, all that malleable. The discourse of disruption, then, allows for the appearance of competition and progress at the same time it neutralizes any real disruption. Applying this to OER implies that the educational superstructure may embrace OER only as long as it does not challenge the existing business model of education, which has to be paid for, one way or another.

The first wave OER adoption did disrupt the marketplace, but practitioners find themselves again in a familiar place of playing catchup to publishers of all-inclusive textbooks, who adapted quickly to this first phase of disruption. In answer to Casserly’s (2007) question, the generation of high-quality content that is freely available is not disruptive in and of itself, but fully compatible with the existing structures of higher education, and certain institutions may even gain prestige through OER adoption. The problem, then, is not just expensive textbooks but the disruptive discourse that OER can save the world. A maturing dialogue that critically reassesses the role and goal of OER would move away from disruption and account for the full cost of investing in and sustaining OER adoption and usage.

It’s Alive!

Very excited that this book we have been working on for over a year is now available through Springer.

https://link.springer.com/book/9783031657306

This book presents the growing interconnection of two pillars from the world’s higher education institutions: academic integrity and libraries. It provides sound examples to extant questions and conversations about whose job it is to teach academic integrity, and what library work is. The role of libraries in supporting academic integrity is not always clear and has not been fully explored.

Drawing from library literature and that of academic integrity more broadly, readers are exposed to how libraries are necessary in a holistic approach to academic integrity. Education about academic integrity and the prevention of academic misconduct, for not only students but other institutional stakeholders, are demonstrated as occurring optimally in positive, supportive, and proactive ways. The book details numerous ways in which librarians can work with faculty and other stakeholders using established frameworks such as information literacy and blended librarianship as well as innovative platforms and content.

Other contributions involve the identification of potential academic misconduct and administration of academic integrity policies to complete the cycle recommended by the frameworks of global educational quality organizations (QAA, TEQSA). Initiatives presented in the book include those at the course level and institution-wide initiatives involving curriculum, policy, and supports for faculty and students. Also contained are efforts occurring at a national level within professional networks , in addition to international library curriculum. This book provides inspiration to institutions and academic libraries of any size and scope to embrace this emerging role in creating cultures of academic integrity.

Academic Library and Academic Integrity Benchmarks

One of my most prized possessions is my Professional Librarian’s Life Certificate from the State of Washington. Even though I am no longer a practicing librarian, I am a librarian for life and have the paperwork to prove it!

On Wednesday, May 15, I had a chance to present (remotely) with some colleagues at the Workshop for Instruction in Library Use at Kwantlen Polytechnic University. Our presentation focused on the arguments we put forth in our upcoming book (to be published by Springer later this year), Academic Integrity and the Role of the Academic Library: Institutional Examples and Promising Practices. My small part of the panel was to present a series of benchmarks about how academic librarians can play a leading role in academic integrity, based on what many academic libraries are already doing. And this is important because we know a lot more about what librarians are doing than what is truly effective. In this regard, most academic integrity work is faith-based; we believe our efforts will create some form of good, even if we have no empirical proof.

Academic Library and Academic Integrity Benchmarks 

Networks: As they exist, the academic library is connected and integrated with academic integrity networks at the state/provincial, national, and/or international levels, such as International Centre for Academic Integrity, Global Academic Integrity Network, European Academic Integrity Network, or the Manitoba Academic Integrity Network.  

Professional development and scholarly activity: Library staff recently and regularly participate and present at academic integrity conferences. They are engaged in researching their academic integrity efforts.

Academic integrity campaigns: The library participates in academic integrity awareness raising campaigns, such as the International Day of Action for Academic Integrity and Academic Integrity Week. 

Institutional leadership: The library leads or is part of collaborative campus leadership efforts to support and promote academic integrity at their postsecondary institution. 

Policy development: The library plays a key role in the development of academic integrity policy, including consulting on definitions for plagiarism, collusion, and the appropriate use of generative artificial intelligence (and detection tools).   

Staffing: The responsibility for the library’s efforts in academic integrity are clearly articulated in at least one librarian or library staff member’s job description, similar to how many academic libraries have a copyright or scholarly communication librarian.  

High quality instructional programs: The library provides credit and/or non-credit academic integrity instruction that is fully integrated into the curriculum. These instructional efforts are offered in both proactive and reactive, point-of-need contexts. The content of the programs include critical digital literacy and artificial intelligence as it pertains to information use and knowledge generation. These instructional programs include real, practical situations students will likely face in their educational journeys. One example from the book includes a number of real-life simulated role plays.

Knowledge resources: The library publishes guides for faculty and students outlining how the library can support efforts to address academic integrity, including recommended language for syllabi and research papers. Close collaboration to the institutional teaching and learning centre and instructional designer is important here, especially for new course and new program development.  

International students and intercultural competence: Library staff have received professional development related to intercultural competence so they can identify Western pedagogical approaches, appreciate different cultural conceptions of textual ownership, and consider the unique tactics of international students, such as patchwriting.  

These benchmarks, built from the chapters presented in this book, offer a panoramic view of academic libraries as dynamic entities evolving within the changing landscape of academic integrity. The established value they bring to the complicating nature of information literacy and genAI collectively paint a picture of possibility for how academic libraries can help faculty, students, and their institutions navigate this critical terrain. These benchmarks can be used as a diagnostic for assessing what the library is doing well, and where it wishes to grow and develop. They can also be used to articulate new strategic actions that align with institutional goals.

The Right Relationship Between Teaching and Ed Tech

My dissertation was a mess. My committee chair said to me as gently as she could, “there are a lot of moving parts going in a bunch of different directions.” I was lost and didn’t see a way forward.

On a rainy day in 2018, my wife and I took shelter in Russel’s Books in Victoria. I stumbled upon Ursula Franklin’s The Real World of Technology and read it standing in the store. Suddenly, I could see the finish line for what I was trying to do. The shelving within my brain was reorganized according to Franklin’s multiple realities (which became the title of my dissertation), which provided the theoretical framework necessary for me to articulate what I wanted to see, and how I might be able to see the invisible. This article grew out of that immersion in Franklin’s thought, and it explores wrong relationship between technology and teaching in postsecondary contexts, and it gives some guidance for how the Scholarship of Teaching and Learning can serve as a redemptive technology.

Very glad to see this tribute to Ursula Franklin finally come to life.