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Addresses ethical concerns related to the use of AI in education, including privacy issues and the potential for bias.

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Discusses the broader societal impacts of AI, encouraging readers to think critically about how these technologies are used.

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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

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Examines the dark side of big data and algorithms, including in the education sector, and advocates for accountability and transparency.

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We all have a vague sense that social media is bad for our minds, for our children, and for our democracies. But the truth is that its reach and impact run far deeper than we have understood. Building on years of international reporting, Max Fisher tells the gripping and galling inside story of how Facebook, Twitter, YouTube, and other social network preyed on psychological frailties to create the algorithms that drive everyday users to extreme opinions and, increasingly, extreme actions. As Fisher demonstrates, the companies’ founding tenets, combined with a blinkered focus on maximizing engagement, have led to a destabilized world for everyone.

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This project explores the impact of Artificial Intelligence tools and the impact they will have on assessment as well as practice and policy in Higher Education.

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Image generated with AI, Adobe Firefly

by Krys Ziska Strange, Associate Director of Instructional Design & Faculty Development, TTS & Carie Cardamone, Associate Director of STEM, Professional Schools & Assessment, Tufts CELT

The recent release of Chat GPT and media coverage has prompted instructors to explore AI tools to understand their capabilities and limitations. It has evoked anxious conversations about how well these tools are able to perform tasks we ask our students to complete - from writing code to creating essays and reports - and resulting implications for learning and academic honesty. At the same time, many instructors are creatively thinking about how to leverage AI tools for learning.

Past experiences with new technologies like calculators and smartphones have shown us that initial worries about how the technologies will help students cheat or detract from what students "need to learn" can give way to innovative new approaches for education. Eventually, we adapt and begin to leverage these new tools for learning. Battling the tide of innovation in technology is an exhaustive fight we will not win. What if we can use this moment as an opportunity to refocus our attention on a different question: "What activities and assignments will have the most value to my students' learning today?".

There are many ways to promote and assess student learning that are not easily replicated by AI, and some that leverage its capabilities. After all, students will be entering careers where they will have to navigate and critically evaluate rapidly evolving sources of information and new technologies to solve complex problems. Each of the sections below offers ideas that are resilient in terms of both their effectiveness for assessing learning, doing work that cannot easily be gamed, and developing skills that will support continuous learning. Many of these are tried and true, but under-utilized, others embrace new opportunities!

Embrace authentic assessments

Consider refocusing course activities where possible so that students can apply their learning to real world contexts and problems and find personal relevance. This can positively influence both motivation and long term memory. These authentic assessments teach students how to approach multifaceted, complex questions where there is not always a right answer, and develop their analytical skills. You might engage students in creating a portfolio of their work with critical reflections on how course experiences, and activities have impacted their learning and, if relevant, the impact on the communities in which they are situated. A learning portfolio is a visible way to help students develop metacognitive (thinking about thinking) skills, become critical thinkers, and open a space for reflective dialogue with you to track and adjust their learning progress.

Create social learning opportunities

Social interactions have always been essential for learning. Motivating students to engage in their learning with peers can also help them feel a sense of belonging within a classroom community. Group activities with well designed questions or prompts can provide students the opportunity to articulate and challenge their own understanding of concepts, integrate other perspectives, and reveal gaps in their knowledge. They can also motivate students to come prepared to engage in these activities with their peers.

Varying the structure of these collaborative engagements (whole group, dyads, small groups) and the form (problem solving, games, idea or question generation, case studies, hypothesis testing, collaborative annotation of readings using Perusall or Hypothes.is) can promote both individual and collective learning. Creating opportunities to scaffold peer feedback on assignments engages students in understanding their peers' approaches to an assignment thereby expanding their own thinking and approaches.

Focus on process over product

Traditionally, the end product of a paper or project has carried most of the weight for assessing learning. As AI improves, and it will improve rapidly, reframing our priorities by weighting process and value, revision and improvement more heavily will be important. When designing a writing assignment or a project, you might break it into smaller components that assess skill development at each stage, using self and peer feedback submitted with changes prior to your feedback. This refocusing communicates the value of engaging in the process and circumvents possible shortcuts that will deprive the student of pride in their work and learning. Many instructors already do this by requiring drafts and rewrites of thesis statements, citation searches, reflection, brainstorming documents, etc.

Ask students to get creative

Projects that engage students in thinking beyond the traditional disciplinary modes of communication can give students valuable experience translating dense concepts for different audiences. Consider alternative models for students to express their learning, such as conference posters, information graphics, podcasts, maps, artwork, storyboards, song writing, poetry, or research presentations. These creative expressions build on universal design for learning core principle, "Providing Multiple Means of Expression, which increases equity in the classroom.

Be transparent about your expectations for the use of AI

One of the easiest ways to encourage authentic engagement with course activities and to discourage academic dishonesty is to be transparent about your expectations. Include a statement in your syllabus that tells students what is (and is not) allowed in your course. Be explicit about how students should cite the work of others and a policy for citing the use of AI tools in learning or in their work. You might also include specific guidelines on when (human or AI) collaboration is encouraged, and when it is not.

A key component of transparency in this instance is to explain and continuously reinforce how your various assessments will benefit them in your course, their other courses, or in their career. Be explicit about the purpose, tasks, and criteria for success on your assessments so that students may understand the value and benefit of the effort.

Have students explore AI tools

Rather than avoiding AI tools or trying to catch students misusing them, you might challenge them to discover examples where AI tools provide inaccurate or incomplete information, reinforce misconceptions, or are missing alternative perspectives. You could ask your students to deconstruct a text written by AI for its strengths and weaknesses. Students can compare AI generated responses to their own work, or use AI in specific stages of an assignment (always with attribution). Or, you might ask them to use an AI tool to generate a piece of writing to compare and contrast with their own writing, and reflect why they would incorporate or reject differences. See Teaching Students to Write with AI: The SPACE Framework for an example. Students might even help you develop a classroom policy for the appropriate use of AI tools.

Get creative with technology

There are some creative applications of free or adopted tools that you can use to help dissuade use of AI-generated text. You can have students share links to their Google Docs and explore the versioning history of the text. You can also embrace the commenting features on Canvas assignments and have students respond to questions to earn back points or add bonus points. Or you can have students create marginalia on printed documents and have them scan/upload the documents using free apps such as Adobe Scan.

So, what's next?

The rapid and constant change in the use of AI makes a cure-all assessment approach next to impossible. Even during the writing of this article, several AI-assisted research and writing tools have begun to gain popularity and notice in academia, and dozens of new articles have appeared. We recommend you explore one of these new AI tools (e.g., ChatGPT, MidJourneyAI, Consensus, Elicit, The Good AI, etc.), while keeping in mind that their capabilities are quickly evolving.

Regardless of how each of us chooses to adapt to the development of AI systems in our individual courses, it's time to move beyond thinking about AI systems as something to "battle against" and begin to think of how these systems can help us to learn. They can be tools for revising writing, guiding studying, answering questions, searching references, and for reflecting on and expanding our ideas. Perhaps these systems can instead provide an exciting opportunity to reimagine a more resilient, equitable, creative, system of assessment, and even have fun in the process.
See Also
Resilient and Equitable Teaching and Assessment Require a Paradigm Shift (by Annie Soisson, Faculty Focus)

Designing Courses in the Age of AI (Teaching@Tufts)
Getting Beyond Google: Simple Ways to Help Students Critically Evaluate their Sources (Teaching@Tufts)
ChatGPT: Understanding the new landscape and short-term solutions, (Resources compiled by Cynthia Alby)
Chat GPT and Artificial Intelligence Tools (Georgetown University)
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.9

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Thinking about our Assessments in the Age of Artificial Intelligence (AI)

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by Krys Ziska Strange, Associate Director of Instructional Design & Faculty Development, TTS & Carie Cardamone, Associate Director of STEM, Professional Schools & Assessment, Tufts CELT The recent release of Chat GPT and media coverage has prompted instructors to explore AI tools to understand their capabilities and limitations.

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AI-Powered Tools: Future Of eLearning Evaluations

In the evolving world of education, where innovation is the key to staying ahead, AI-powered tools for eLearning are emerging as transformative forces. One such area witnessing a revolutionary change is eLearning assessments. As traditional assessment methods face challenges adapting to the digital age's demands, Artificial Intelligence (AI) redefines how we evaluate learning outcomes.

The Evolving Landscape Of eLearning Assessments

In the ever-changing realm of eLearning, assessments have evolved dramatically. Gone are the days of simple multiple-choice quizzes. Now, we're in the era of interactive, adaptive, and engaging assessments that truly measure a learner's understanding.

The landscape has shifted to incorporate real-world simulations, gamification, and peer reviews. These changes not only gauge knowledge but also enhance the learning experience. Artificial Intelligence helps personalize assessments, adapting difficulty based on individual progress. Moreover, assessments have become more continuous, allowing learners to gauge their growth throughout the course. The evolving landscape of eLearning assessments is all about making education effective, engaging, and, most importantly, learner-centered.

Traditional Challenges

Traditional assessment methods, often reliant on manual grading and subjective evaluations, present inherent challenges. Timely feedback, scalability, and personalization become hurdles in an era where instant access to information is the norm. As educational institutions and organizations increasingly embrace online learning, the need for efficient and effective assessment tools has never been more pressing.

Enter Artificial Intelligence

Artificial Intelligence, being able to process vast amounts of data at incredible speeds, brings a breath of fresh air to eLearning assessments. From automated grading systems and best Learning Management Systems (LMSs) to adaptive testing, AI has the potential to revolutionize how we measure and evaluate knowledge acquisition.

The Role Of AI In Automated Grading Systems

AI's role in automated grading systems is nothing short of transformative. This technology has taken the burden off educators, offering a more efficient and objective way to assess student work. AI can evaluate assignments, quizzes, and essays at scale, providing instant feedback to students. Its ability to analyze text, detect plagiarism, and score answers has revolutionized grading. Educators can focus more on other crucial aspects of education, like planning lessons and personalizing student feedback.

One significant advantage of AI grading is its consistency. It doesn't get fatigued or biased, ensuring that every student is assessed fairly. Moreover, it can adapt to various subjects and assessment types, from math problems to literature analysis. As a result, educators have more time for personalized instruction and feedback, enhancing the overall learning experience.

However, it's essential to balance automation with the human touch. AI can handle routine grading tasks, but complex or creative assignments still benefit from human evaluation. The collaboration of AI and educators in grading systems promises to revolutionize education, making it more efficient and tailored to individual student needs.

Efficiency And Timeliness

One of the most significant advantages of AI-powered assessments for those in education career paths is the speed at which this technology can process and grade assignments. What might take hours for a human to evaluate, AI can accomplish in a matter of minutes. This enhances efficiency and provides students with timely feedback, a crucial element in the learning process.

Eliminating Bias

AI, unlike human graders, is not susceptible to biases. It evaluates assignments based on predefined criteria without being influenced by gender, ethnicity, or personal preferences. This ensures fair assessments and contributes to creating a more inclusive learning environment.

Adaptive Learning And Personalized Assessments

Adaptive learning and personalized assessments powered by AI represent a dynamic educational shift. These technologies tailor the learning experience to individual students, maximizing their understanding and performance.

Adaptive learning systems use AI to continuously assess students' progress and adapt the content and pace accordingly. If a student excels in one area but struggles in another, the system can provide additional support in the challenging subject while allowing faster progress in the areas of strength. This personalization ensures that students receive the right level of challenge and support, preventing boredom or frustration.

Personalized assessments, on the other hand, offer a different angle. AI can analyze a student's learning history and preferences to design assessments that cater to their strengths and interests. For example, a student passionate about history might have a history-themed project instead of a generic assignment. This approach increases engagement and provides a more accurate measurement of a student's abilities.

In summary, adaptive learning and personalized assessments driven by AI create an educational experience customized to each student, fostering better understanding and motivation in the learning process. These technologies empower educators to cater to diverse learning needs and ultimately enhance the quality of education.

Tailoring Assessments To Individual Learners

One size does not fit all when it comes to education. AI-powered tools for eLearning can analyze a student's learning patterns and customize assessments accordingly. This adaptability ensures that each learner is challenged at their own pace, promoting a more personalized and effective learning experience.

Continuous Feedback Loops

AI doesn't stop at grading; it also provides continuous feedback to learners. By identifying strengths and weaknesses, these tools empower students to focus on areas that need improvement. This real-time feedback loop is instrumental in fostering a culture of ongoing learning and improvement.

Overcoming Cheating And Plagiarism

Overcoming cheating and plagiarism in the context of AI is a persistent challenge. While AI can detect certain forms of cheating or plagiarism by comparing text or code against online sources, students have also become adept at finding workarounds. To tackle this, institutions are increasingly adopting a multifaceted approach, including using proctoring tools, like webcam monitoring, to deter cheating during online exams. Many professors also opt to let students write in real time as it demands concision and clarity.

Moreover, educators emphasize the importance of originality and integrity in assignments while promoting a culture of academic honesty. Ultimately, it's about balancing utilizing AI for detection and fostering a strong ethical foundation among students. The goal is not just to catch cheaters but to cultivate a culture of learning and integrity.

Integrity In eLearning

Maintaining academic integrity is a growing concern as online education becomes more prevalent. AI tools can detect patterns associated with plagiarism, reducing the likelihood of cheating. These tools can identify similarities in writing styles and content through advanced algorithms, ensuring that assessments truly reflect each student's understanding.

Secure Online Testing Environments

AI can create secure online testing environments by monitoring student activities during assessments. From eye-tracking to keystroke dynamics, these tools add a layer of security, making it harder for students to engage in dishonest practices.

Challenges And Ethical Considerations

It's essential to recognize that as AI technology advances, it brings a complex landscape of concerns that touches everything from fairness and privacy to accountability and security. In this exploration, we will unpack some of the key issues we face with AI, shedding light on the obstacles and ethical dilemmas that demand our attention and thoughtful solutions. Let's get started by examining these crucial aspects of AI technology.

The Human Touch Vs. Automation

While AI brings efficiency and objectivity to assessments, the role of human educators should not be overlooked. Striking the right balance between automated processes and the nuanced understanding that humans bring to education is a challenge that requires careful consideration. AI can handle grading and provide data-driven insights but can't replace human educators' emotional intelligence, mentorship, and personalized guidance.

Collaborative efforts, where AI assists educators in identifying areas where students may need extra help allow the human element to shine in providing tailored support and motivation. It's not a question of human versus machine; it's about harnessing the strengths of both. The future of eLearning assessments lies in a harmonious partnership where automation enhances the capabilities of educators, making education more effective and engaging for students.

Data Privacy And Bias Mitigation

AI in assessments raises concerns about data privacy and the potential for algorithmic bias. Implementing robust measures to safeguard sensitive student information and ensure that AI tools are continuously refined to minimize biases and promote fairness is crucial.

Looking Ahead: The Future Of AI In eLearning Assessments

When we look ahead to the future of AI-powered tools in eLearning assessments, it's a landscape filled with exciting possibilities. AI has the potential to revolutionize the way we evaluate and enhance learning. It can provide personalized, real-time feedback to learners, adapt assessments to individual strengths and weaknesses, and even automate grading, freeing educators to focus on more meaningful student interactions.

Moreover, AI can help identify student performance and engagement patterns, offering insights into Instructional Design and improving educational outcomes. As we move forward, integrating AI in eLearning assessments promises a more efficient, adaptive, and data-informed approach to education, benefiting both learners and educators.

Integration Into Pedagogical Strategies

The future of eLearning assessments lies in seamlessly integrating AI tools into pedagogical strategies. Educators should view AI not as a replacement for their role but as a valuable ally, enhancing their ability to provide quality education in a rapidly evolving landscape.

Continued Research And Development

To fully harness the potential of AI in eLearning assessments, ongoing research and development are essential. This includes refining algorithms, addressing ethical concerns, and ensuring that these tools evolve to meet the dynamic needs of education. Using Copy AI alternatives can play a significant role in achieving this by contributing to the creation of engaging and effective educational content. Research must develop more robust AI models that adapt seamlessly to diverse learning environments and student demographics.

Development efforts should focus on user-friendly interfaces, ensuring educators and students can easily interact with AI-powered assessment tools. Additionally, research can explore novel ways AI can support collaborative learning, assess skills beyond traditional testing, and enhance accessibility for differently-abled learners. The ever-changing landscape of technology and education demands a continuous commitment to innovation and improvement to make AI-driven eLearning assessments a powerful force for positive change in the educational sector.

Conclusion

As we stand at the crossroads of technology and education, AI-powered tools offer a glimpse into the future of eLearning assessments. Their advantages-efficiency, personalization, and integrity-are poised to redefine how we measure and evaluate knowledge. While challenges and ethical considerations persist, the ongoing collaboration between humans and AI promises a future where education is no longer just adaptive but truly transformative.

In embracing AI-powered tools for eLearning assessments, we embark on a journey toward a more inclusive, efficient, and personalized educational experience, where the synergy between human expertise and Artificial Intelligence creates a learning environment that prepares students for the challenges of tomorrow.

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AI-Powered Tools: Automating eLearning Assessments For The Future

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In the world of education, where innovation is the key to staying ahead, AI-powered tools in eLearning are emerging as transformative forces.

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A three-tiered categorisation of AI use in an assessment for staff to guide students on expectations

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Differentiated Instruction

Teachers can use AI tools to help generate ideas and learning materials to address their students' diverse needs.

Artificial intelligence (AI) is quickly shaking up the world of education. With the popularity of mainstream tools like ChatGPT, beta tools like Google's Bard, and other educational resources developing their own versions of this software, AI is at the front of many educators' minds.

Despite the commonly discussed barriers to AI, there are some advantages. For example, it can be used to support teachers as they design instruction and assessments to meet the needs of all the learners in their classrooms. Typically, implementing strategies like differentiation or personalized learning can be a lot of upfront work for the teacher. With AI, teachers can easily seek ideas and inspiration for new ways to reach their students.

AI-generated responses can act as a starting point for teachers, but it's important to build on these ideas to make them your own. With the following five strategies, teachers can leverage AI to inspire new ideas to support the diverse learning needs of their students.

1. Creating Differentiated Materials

Differentiation adjusts the information the student needs to learn, the instructional process, or the culminating project or activity to match student interest and readiness. A common obstacle with differentiation for teachers is trying to create various resources, whether it's a choice board or tiered activity.

AI can be used as a source of inspiration for teachers. A prompt could be inserted: "What are three different approaches to teaching the central idea of a text?" In this example, ChatGPT suggested a few broad approaches to instruction, including graphic organizers, visual representations, guided reading, and close reading, as well as a description of those strategies. These suggestions are research-supported starting points for an educator. Now, with these recommendations, they can start fully generating lessons and activities for students.

It's important to remember that sometimes, tools like ChatGPT might pull from existing teacher lessons online. Consider using a more general prompt, like the previous example, to get broader pedagogical suggestions as opposed to an existing lesson plan or activity online.

2. Creating Multiple Means of Representation

Within the Universal Design for Learning framework, multiple means of representation require content to be presented in various ways for students. In a classroom, this strategy might look like an opportunity for students to explore different mediums on the same topic and enhance their understanding. For example, you might provide a video, infographic, or notes on a singular topic.

For teachers, curating various resources on the content they want to teach could be challenging and time-consuming. However, this process can be streamlined using AI. A teacher could enter the following prompt into AI software: "Can you give me multiple resources to introduce chemical reactions? The resources include videos, websites, simulations, games, or infographics."

This type of prompt will generate a list of resources, websites, and links related to the requested topic. As with any other link, these resources need to be vetted by the teacher before providing them to students. However, AI can help make the search process for finding suitable and appropriate resources quicker than a traditional search engine query.

3. Brainstorming Alternative and Authentic Assessments

Alternative and authentic assessments can support different learning needs by avoiding traditional test strategies and encouraging students to apply the content they learned directly. Instead of a standardized quiz, students may engage in projects connecting the topic to real-life situations and ideas.

When planning alternative assessments, AI can help teachers make connections between a skill or topic and real-life applications. These suggestions can be used to inspire ideas for alternative assessments for students. For example, a teacher could use the prompt, "What are real-life applications of ratios?" This prompt offers suggestions between the math concept and baking, maps, sports statistics and performance, photography, scale models, and financial planning.

The suggestions list can be turned into a list that the teacher uses to think about project-based, more authentic assessments. When drawing on this list as inspiration, new projects can be created for the course. These activities can support students by increasing their understanding of the skill and giving them increased flexibility in demonstrating their understanding.

4. Breaking Down Complex and Abstract Skills

A challenging strategy for a teacher is to break down abstract skills for students. Offering a concrete approach can help students understand a concept in a new way. However, it's sometimes difficult to determine just how to break up a standard. One example prompt would be, "How can you break down the concept of 'theme' to sixth-grade students? How can this idea be broken into manageable chunks?"

This prompt offers general recommendations for pedagogical approaches that break down the skill, including distinguishing between theme and plot, identifying key messages, and analyzing character motivations. While this query doesn't yield full lesson plans or already created activities, it does serve as a springboard for teachers to break down the skill for students who may be struggling.

5. Providing Different Approaches to Teaching Concepts

One strategy that works for supporting students in understanding a new skill is making a connection to their personal experiences and interests, such as their background or hobbies. Sometimes, this task can be challenging if the teacher has no experience with a student's area of interest, so it's important to talk with students and get to know them on a deeper level in order to meet their particular needs.

AI could form a bridge between a skill and the student's interests. For example, a teacher could use the prompt, "How would you teach a middle school student who loves football about connotation and denotation?" With this prompt, AI could generate a list of strategies for helping students make a connection between this language arts vocabulary skill and sports. These suggestions can be helpful for a teacher who may notice a student struggling with grasping a concept. By using the AI-generated recommendations, they may be able to help the student make a connection to understand the material through their interests better.

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5 Ways to Use AI Tools to Meet Students' Needs

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Teachers can use AI tools to help generate ideas and learning materials for differentiated instruction to meet student needs.

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Research Guides: ChatGPT and AI Tools Student Research Guide: Prompt Engineering

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Research Guides: ChatGPT and AI Tools Student Research Guide: Prompt Engineering

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Continuing Education and Workforce Development at Queensborough Community College

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Prompt Engineering for ChatGPT: A Beginner’s Course

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The impact from AI-related tools can be devastating; here is one example through my first-hand account of being falsely accused of using AI to write an essay.

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How do I AI Proof My Assignments? | The Institute for Learning and Teaching

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I get a lot of questions about how to make assignments resistant to AI cheating. I understand where this question comes from. Our faculty are creative, hard-working, intelligent professionals and they believe that challenges can be worked through. I believe …

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Center for Teaching & Learning : UMass Amherst

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Caption: Bing Creator Prompt: Group of three diverse professors who wonder about assessment of student learning in an AI driven world, AI style.

In an era where AI tools are readily accessible, educators may want to consider transforming their approach to designing course assignments and assessments. Generative AI tools can be used by students to complete out-of-class assignments with or without teachers' knowledge; however, the use of AI output detectors has raised concerns about their accuracy and inherent biases (Trust, 2023a) as well as concerns as to how their use can impact instructor-student relationships. Torrey Trust, UMass Amherst Professor in Teacher Education and Curriculum Studies, emphasizes the need for redesigning assignments to reduce the potential for students' inappropriate use of generative AI tools (Trust, 2023a) and advocates for making the purpose and requirements for assignments as transparent as possible, increasing the value of assignments through real world applications, and emphasizing learning as a social experience through assignment design (Trust, 2023b).

Rethinking and transforming assignments and assessments offers a potential opportunity to enrich students' educational experiences. It may be helpful for faculty to approach this transformation by weighing strategies which assignments or assessments should or could be AI-proof or AI-immune, integrating AI tools as part of learning activities, or by adopting a two-lane approach which combines these strategies (Liu & Bridgeman, 2023).

General Considerations

Align Objectives. Identify course goals and student learning objectives and reflect on the objectives to determine which ones require students to demonstrate learning in an AI-free environment or through AI-immune assessments, and which new objectives related to AI skills and knowledge you might want to add to your course. Consider alignment with AI-integrated assignments or a two-lane approach' where appropriate.

Communicate with Students. Be transparent with your students about your rationale for your assignment design choices as well as your expectations and parameters for the use of AI tools for each assessment or assessment category. Talk with students about the affordances, limitations, and risks with using generative AI tools, and emphasize that they should never input any sensitive and/or personally identifiable information. See the CTL webpage How Do I Consider the Impact of AI Tools in My Courses?

Minimize Learning Barriers. Be mindful of the potential to increase learning barriers with low-tech options, such as requiring handwritten essays or oral in-class presentations, and the unreliability of AI text detectors (Trust, 2023a) as well as equity issues related to student technology access.

Designing assignments for critical thinking, personal reflection, or unique insights that AI cannot replicate ensures authentic learning. Examples include:

AI-Integrated Assignments

This approach involves purposefully incorporating AI technologies into assignments for assistance with specific tasks. Begin by identifying learning objectives that explicitly involve using AI tools, such as the ability to analyze data using AI tools or the ability to use AI-generated feedback to improve one's writing. UMass IDEAS provides an excellent overview of various Generative AI tools and the resources available on campus. Consider using the TILT Transparent Assignment Template to provide your students with a clear understanding of the purpose, expectations, and parameters for an AI-integrated assignment. Here are some examples:

Be mindful that Bing Chat is included in the UMass agreement with Microsoft; it is considered FERPA compliant as long as users have logged in using their UMass accounts. If you are considering requiring students to use an AI platform to complete coursework, is the only recommended option. Note that with any online service that is not contracted by the university, in view of FERPA regulations, students must not be required to identify themselves to third parties. If you plan to AI-integrate assignments using non-supported tools, provide an option for students who wish to complete the assignment without using AI tools.

A Two-Lane Approach: Combining AI-Proof and AI-Integrated Assignments

Design some tasks that cannot be completed using AI tools, for example by having students complete the assessment in an AI-free environment or designing an AI-immune assignments (lane 1) and others that involve AI collaboration (lane 2). By adopting this two-lane approach (Liu & Bridgeman, 2023), educators can leverage AI to create a balanced and enriched learning environment that both safeguards against potential AI misuse and leverages AI's unique capabilities to foster creativity and deeper understanding.

The redesign of assignments and assessments for an AI-impacted world is not just feasible but also an exciting opportunity to enrich the students' learning experiences. By understanding how AI may alter learning objectives and creatively integrating or safeguarding against AI tools, you can create a robust educational environment and help students to meet new and evolving demands in their future workplaces.
Assessment Design Guide by Danny Liu, University of Sydney
Embracing Constructive Dialogue and Oral Assessments in the Age of AI-Graham Clay and Cambriae W. Lee in Inside Higher Ed August 3, 2023

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Center for Teaching & Learning : UMass Amherst

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In an era where AI tools are readily accessible, educators may want to consider transforming their approach to designing course assignments and assessments. Generative AI tools can be used by students to complete out-of-class assignments with or without teachers' knowledge; however, the use of AI output detectors has raised concerns about their accuracy and inherent biases (Trust, 2023a) as well as concerns as to how their use can impact instructor-student relationships.

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Creating AI-Resistant Assignments, Activities, and Assessments (Designing Out) | Center for Teaching and Learning

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Instructors can take several proactive steps to design assignments, activities, and assessments that are more resistant to academic dishonesty in the age of AI, including Generative AI tools. Here are some strategies you might want to try: 1. “Going Medieval”: