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Register Now for Tech Tactics in Education: Overcoming Roadblocks to Innovation

Tech Tactics in Education will return on Sept. 25 with the conference theme “Overcoming Roadblocks to Innovation.” Registration for the fully virtual event, brought to you by the producers of Campus Technology and THE Journal, is now open.

Offering hands-on learning and interactive discussions on the most critical technology issues and practices across K–12 and higher education, the conference will cover key topics such as:

  • Tapping into the potential of AI in education;
  • Navigating cybersecurity and data privacy concerns;
  • Leadership and change management;
  • Evaluating emerging ed tech choices;
  • Foundational infrastructure for technology innovation;
  • And more.

A full agenda will be announced in the coming weeks.

Call for Speakers Still Open

Tech Tactics in Education seeks higher education and K-12 IT leaders and practitioners, independent consultants, association or nonprofit organization leaders, and others in the field of technology in education to share their expertise and experience at the event. Session proposals are due by Friday, July 11.

For more information, visit TechTacticsInEducation.com.

About the Author



Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].





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Embracing complexity in writing instruction


Key points:

Early in our careers, when we were fresh-faced and idealistic (we still are!) the prepackaged curriculum and the advice of more experienced colleagues was the go-to resource. Largely, we were advised that teaching writing was a simple matter of having students walk through and complete organizers, spending about one day for each “stage” of the writing process. At the end of the writing unit, students had finished their compositions–the standardized, boring, recreated ideas that we taught them to write.

As we matured and grew as teachers of writing, we learned that teaching writing in such simplistic ways may be easier, but it was not actually teaching students to be writers. We learned with time and experience that writing instruction is a complex task within a complex system.

Complex systems and wicked problems

Complexity as it is applied to composition instruction recognizes that there is more than just a linear relationship between the student, the teacher, and the composition. It juggles the experiences of individual composers, characteristics of genre, availability of resources, assignment and individual goals, and constraints of composing environments. As with other complex systems and processes, it is non-linear, self-organizing, and unpredictable (Waltuck, 2012).

Complex systems are wicked in their complexity; therefore, wicked problems cannot be solved by simple solutions. Wicked problems are emergent and generative; they are nonlinear as they do not follow a straight path or necessarily have a clear cause-and-effect relationship. They are self-organizing, evolving and changing over time through the interactions of various elements. They are unpredictable and therefore difficult to anticipate how they will unfold or what the consequences of any intervention might be. Finally, they are often interconnected, as they are symptoms of other problems. In essence, a wicked problem is a complex issue embedded in a dynamic system (Rittel & Webber, 1973).

Writing formulas are wicked

As formulaic writing has become and remains prevalent in instruction and classroom writing activity, graphic organizers and structural guides, which were introduced as a tool to support acts of writing, have become a wicked problem of formula; the resource facilitating process has become the focus of product. High-stakes standardized assessment has led to a focus on compliance, production, and quality control, which has encouraged the use of formulas to simplify and standardize writing instruction, the student writing produced, and the process of evaluation of student work. Standardization may improve test scores in certain situations, but does not necessarily improve learning. Teachers resort to short, formulaic writing to help students get through material more quickly as well as data and assessment compliance. This serves to not only create product-oriented instruction, but a false dichotomy between process and product, ignoring the complex thinking and design that goes into writing.

As a result of such a narrow view of and limited focus on writing process and purpose, formulas have been shown to constrain thinking and limit creativity by prioritizing product over the composing process. The five-paragraph essay, specifically, is a structure that hinders authentic composing because it doesn’t allow for the “associative leaps” between ideas that come about in less constrained writing. Formulas undermine student agency by limiting writers’ abilities to express their unique voices because of over-reliance on rigid structures (Campbell, 2014; Lannin & Fox, 2010; Rico, 1988).

An objective process lens: A wicked solution

The use of writing formulas grew from a well-intentioned desire to improve student writing, but ultimately creates a system that is out of balance, lacking the flexibility to respond to a system that is constantly evolving. To address this, we advocate for shifting away from rigid formulas and towards a design framework that emphasizes the individual needs and strategies of student composers, which allows for a more differentiated approach to teaching acts of writing.

The proposed framework is an objective process lens that is informed by design principles. It focuses on the needs and strategies that drive the composing process (Sharples, 1999). This approach includes two types of needs and two types of strategies:

  • Formal needs: The assigned task itself
  • Informal needs: How a composer wishes to execute the task
  • “What” strategies: The concrete resources and available tools
  • “How” strategies: The ability to use the tools

An objective process lens acknowledges that composing is influenced by the unique experiences composers bring to the task. It allows teachers to view the funds of knowledge composers bring to a task and create entry points for support.

The objective process lens encourages teachers to ask key questions when designing instruction:

  • Do students have a clear idea of how to execute the formal need?
  • Do they have access to the tools necessary to be successful?
  • What instruction and/or supports do they need to make shifts in ideas when strategies are not available?
  • What instruction in strategies is necessary to help students communicate their desired message effectively?

Now how do we do that?

Working within a design framework that balances needs and strategies starts with understanding the type of composers you are working with. Composers bring different needs and strategies to each new composing task, and it is important for instructors to be aware of those differences. While individual composers are, of course, individuals with individual proclivities and approaches, we propose that there are (at least) four common types of student composers who bring certain combinations of strategies and needs to the composition process: the experience-limited, the irresolute, the flexible, and the perfectionist composers. By recognizing these common composer types, composition instructors can develop a flexible design for their instruction.

An experience-limited composer lacks experience in applying both needs and strategies to a composition, so they are entirely reliant on the formal needs of the assigned task and any what-strategies that are assigned by the instructor. These students gravitate towards formulaic writing because of their lack of experience with other types of writing. Relatedly, an irresolute composer may have a better understanding of the formal and informal needs, but they struggle with the application of what and how strategies for the composition. They can become overwhelmed with options of what without a clear how and become stalled during the composing process. Where the irresolute composer becomes stalled, the flexible composer is more comfortable adapting their composition. This type of composer has a solid grasp on both the formal and informal needs and is willing to adapt the informal needs as necessary to meet the formal needs of the task. As with the flexible composer, the perfectionist composer is also needs-driven, with clear expectations for the formal task and their own goals for the informal tasks. Rather than adjusting the informal needs as the composition develops, a perfectionist composer will focus intensely on ensuring that their final product exactly meets their formal and informal needs.

Teaching writing requires embracing its complexity and moving beyond formulaic approaches prioritizing product over process. Writing is a dynamic and individualized task that takes place within a complex system, where composers bring diverse needs, strategies, and experiences. By adopting a design framework, teachers of writing and composing can support students in navigating this complexity, fostering creativity, agency, and authentic expression. It is an approach that values funds of knowledge students bring to the writing process, recognizing the interplay of formal and informal needs, as well as their “what” and “how” strategies; those they have and those that need growth via instruction and experience. Through thoughtful design, we can grow flexible, reflective, and skilled communicators who are prepared to navigate the wicked challenges of composing in all its various forms.

These ideas and more can be found in When Teaching Writing Gets Tough: Challenges and Possibilities in Secondary Writing Instruction.

References

Campbell, K. H. (2014). Beyond the five-paragraph essay. Educational Leadership, 71(7), 60-65.

Lannin, A. A., & Fox, R. F. (2010). Chained and confused: Teacher perceptions of formulaic writing. Writing & Pedagogy, 2(1), 39-64.

Rico, G. L. (1988). Against formulaic writing. The English Journal, 77(6), 57-58.

Rittel, H. W. J., & Webber, M. M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4(2), 155–169.

Sharples, M. (1999). How we write : writing as creative design (1st ed.). Routledge. https://doi.org/10.4324/9780203019900

Waltuck, B. A. (2012). Characteristics of complex systems. The Journal for Quality & Participation, 34(4), 13–15.

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SUNY Orange to lead the way in AI healthcare education – Mid Hudson News

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Educators lack clarity on how to deal with AI in classrooms

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An artificial intelligence furore that’s consuming Singapore’s academic community reveals how we’ve lost the plot over the role the hyped-up technology should play in higher education. 

A student at Nanyang Technological University said in a Reddit post that she used a digital tool to alphabetize her citations for a term paper. When it was flagged for typos, she was then accused of breaking the rules over the use of Generative AI for the assignment. It snowballed when two more students came forward with similar complaints, one alleging that she was penalized for using ChatGPT to help with initial research, even though she says she did not use the bot to draft the essay.

The school, which publicly states it embraces AI for learning, initially defended its zero-tolerance stance in this case in statements to local media. But internet users rallied around the original Reddit poster and rejoiced at an update that she won an appeal to rid her transcript of the ‘academic fraud’ label.

Also Read: Rahul Matthan: AI models aren’t copycats but learners just like us

It may sound like a run-of-the-mill university dispute. But there’s a reason the saga went so viral, garnering thousands of upvotes and heated opinions from online commentators. It has laid bare the strange new world we’ve found ourselves in, as students and faculty are rushing to keep pace with how AI should or shouldn’t be used in universities.

It’s a global conundrum, but the debate has especially roiled Asia. Stereotypes of math nerds and tiger moms aside, a rigorous focus on tertiary studies is often credited for the region’s dramatic economic rise. The importance of education—and long hours of studying—is instilled from the earliest age. So how does this change in the AI era? The reality is that nobody has the answer yet. 

Despite promises from ed-tech leaders that we’re on the cusp of ‘the biggest positive transformation that education has ever seen,’ the data on academic outcomes hasn’t kept pace with the technology’s adoption. There are no long-term studies on how AI tools impact learning and cognitive functions—and viral headlines that it could make us lazy and dumb only add to the anxiety. Meanwhile, the race to not be left behind in implementing the technology risks turning an entire generation of developing minds into guinea pigs. 

For educators navigating this moment, the answer is not to turn a blind eye. Even if some teachers discourage the use of AI, it has become all but unavoidable for many scholars doing research in the internet age. 

Also Read: You’re absolutely right, as the AI chatbot says

Most Google searches now lead with automated summaries. Scrolling through these should not count as academic dishonesty. An informal survey of 500 Singaporean students from secondary school through university conducted by a local news outlet this year found that 84% were using products like ChatGPT for homework on a weekly basis. 

In China, many universities are turning to AI cheating detectors, even though the technology is imperfect. Some students are reporting on social media that they have to dumb down their writing to pass these tests or shell out cash for such detection tools themselves to ensure they beat them before submitting their papers.

It doesn’t have to be this way. The chaotic moment of transition has put new onus on educators to adapt and shift the focus on the learning process as much as the final results, Yeow Meng Chee, the provost and chief academic and innovation officer at the Singapore University of Technology and Design, tells me. This does not mean villainizing AI, but treating it as a tool and ensuring a student understands how they arrived at their final conclusion even if they used technology. This process also helps ensure the AI outputs, which remain imperfect and prone to hallucinations (or typos), are checked and understood.

Also Read: Technobabble: We need a whole new vocabulary to keep up with the evolution of AI

Ultimately, professors who make the biggest difference aren’t those who improve exam scores but who build trust, teach empathy and instil confidence in students to solve complex problems. The most important parts of learning still can’t be optimized by a machine.

The Singapore saga shows how everyone is on edge and whether a reference-sorting website even counts as a generative AI tool isn’t clear. It also exposed another irony: Saving time on a tedious task would likely be welcomed when the student enters the workforce—if the technology hasn’t already taken her entry-level job. 

Demand for AI literacy in the labour market is becoming a must-have and universities ignoring it would do a disservice to student cohorts entering the real world.

We’re still a few years away from understanding the full impact of AI on teaching and how it can best be used in higher education. But let’s not miss the forest for the trees as we figure it out.  ©Bloomberg

The author is a Bloomberg Opinion columnist covering Asia tech.



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