Category: Learning Technologies

Talk Amongst Yourselves: Collaborative Learning with VoiceThread

Talk Amongst Yourselves: Collaborative Learning with VoiceThread

 

This blog post is about collaborative learning, the new and improved VoiceThread, and the elusive sweet spot between collaborative learning and collaborative overload in which students receive the most impactive and effective learning experience. Collaboration is often cited as a key component of effective learning. It encourages teamwork, enhances communication skills, and fosters a deeper understanding of content through shared perspectives. Despite these positive aspects, there is a growing concern about “collaborative overload,” a phenomenon where the demands of collaborative activities become counterproductive.  

The term “Collaborative Learning” itself tends to inspire a broad range of reactions that range from an explosion of enthusiasm (“I LIVE for collaboration”) to benign affirmations (“sure, sounds good”) to extreme distaste (“Group projects are the kiss of death”), but such a wide range of attitudes and experiences inherently suggests that there must be an ideal amount of collaboration to ensure the ideal learning scenario.  

To facilitate an impactful collaborative learning experience with all the benefits mentioned above while also avoiding “collaborative overload”, VoiceThread serves as an excellent resource. With the help of such an effective tool, you can achieve this balance.  

Collaboration with the New & Improved VoiceThread 

VoiceThread, an interactive, web-based application that allows users to create and share multimedia slideshows with images, videos, documents, and presentations, has many features that are conducive to collaborative learning. What sets VoiceThread apart is its ability to facilitate asynchronous discussions. Users can leave comments on slides using text, audio, or video, creating a rich, multimedia conversation around the content.  

As of Summer 2024, the new and improved VoiceThread is available to all users and further enhances the power of collaborative learning. VoiceThread’s new release features significant updates, including enhanced accessibility, bulk comment management, audio slide descriptions, and improved navigation with zooming and panning while commenting. The update introduces a more compact homepage, media sources in uploads, and an integrated comment timeline. With these improvements to accessibility, commenting, and navigation, participating in group learning with VoiceThread is now more intuitive than ever.  Above all else, we firmly believe this update will prove invaluable for the facilitation of collaborative learning.  

Conclusion 

While collaboration is an essential component of modern education, it is crucial to recognize and address the risks of collaborative overload. By finding a balance between group and individual work, setting clear objectives, managing communication, and monitoring student well-being, educators can create a more sustainable and effective collaborative learning environment. As a tool that allows for individual and collaborative work, VoiceThread is excellent for creating balance in classroom assignments.  

For more information about VoiceThread, be sure to check out the ITRS VoiceThread page. To book an appointment for assistance with VoiceThread or any other instructional technology, use the ITRS booking link 

ITRS looks forward to collaborating with you!

A Sneak Peek at Sakai 23: New Features for Innovative Teaching and Learning

A Sneak Peek at Sakai 23: New Features for Innovative Teaching and Learning

Change is on the horizon for Loyolans’ Sakai experience. Read on for a preview of the new and improved features making their way to your web browser in December 2024. 

Most notably, Sakai 23—the version Loyola will implement on December 19th, 2024—changes the way faculty, staff, and students will access their courses. “Pinned” and “recent” sites will appear on the left-hand navigation menu; the Site Navigation previously at the top of the screen will give way to more digital real estate for your course content. You may continue to access and organize Sakai sites through the Sites Drawer, which appears to the left of your profile image. This relatively substantial change to Sakai’s user experience may take some time to adjust to. Don’t hesitate to launch the Sakai user tutorial, available in the Account Menu by clicking on your profile image, as you acclimate to your new Sakai navigational experience. 

Moving on to new features, Sakai 23 boasts an exciting new tool for tracking tasks, communication, and grades within a single course. The Dashboard tool allows faculty to choose from several widgets to customize student reminders. Faculty can choose from three different Dashboard layouts and select widgets that highlight student grades, updates in Discussions, recent course announcements, and Calendar events. The Dashboard is a promising replacement for the Overview page as a course homepage, as it presents a snapshot of course activity for both students and faculty. 

In the same vein of improved communication with students, the Assignments tool’s Grader interface has gotten a makeover. The Grader is now more mobile-friendly and features a horizontal layout for assessing submissions with a rubric. Most notably, however, the Assignments Grader now includes limited inline marking capabilities, allowing instructors to leave targeted comments on submitted documents without downloading and re-uploading the submission file.  

These new features and more await you in Sakai 23! If this sneak peek was compelling, explore our website for more information regarding Sakai 23. Consider joining Instructional Technology & Research Support (ITRS) for an upcoming information session; registration opens soon!

Empowering Learners to Work in Community: Designing for Collaborative Learning

Empowering Learners to Work in Community: Designing for Collaborative Learning

Collaboration, teamwork, community: these terms are familiar across disciplines and industries, and often, they reflect organizational values and goals. Collaboration is supposed to be a worthwhile practice for the benefit of the stakeholders involved.  

And yet, why do students dread group projects? As a lifelong student and instructor of adult learners, let’s together consider the dynamics of a typical group: one or two students do most of the work, one disappears from group communications until the day before a deadline due to unforeseen circumstances, and the less dominant members offer contributions that are either dismissed or less prioritized by the self-appointed group leaders.  

As an instructor or one possessing instructional design responsibilities for learning, there are ways to facilitate collaboration for students that might avoid common pitfalls to meaningful and equitable peer exchange. This includes student-to-instructor exchange, as a common approach to online learning via prerecorded lectures and auto-graded feedback leaves students without a feeling of human connection or presence—hardly collaborative.  

Collaborative learning and learning design  

Continuing a keywords-inspired approach of unpacking a learning design referent to extract pedagogical and practical applications, let’s take on the subject of collaborative learning design.  

The way I refer to collaborative learning is inspired by my time in writing center work and composition studies, namely Andrea Lunsford’s (1991) article “Collaboration, Control, and the Idea of a Writing Center.” Lunsford’s work on collaboration and learning has found collaboration to engage students and encourage active learning; lead to higher academic achievement; support deeper critical thinking; and lead to deeper understanding of others (p. 5). Such collaboration is not synonymous with lack of direction, support, or inclusion for its members. 

Research-based keys to collaborative learning  

Both the Center for Applied Special Technology (CAST) and the Online Learning Consortium (OLC) offer research-based support for collaboration. Below are some synthesized findings between a learning design perspective, student perspectives for collaborative learning, and a renewed approach to inclusive teaching. Insights are lifted from the CAST Universal Design for Learning Guidelines, the 2024 OLC Report, “Empowering Change Together: Student Perspectives on Quality Online, Digital, and Blended Learning,” and insights from the Inclusive Teaching in STEM course faculty edX.  

Sustain engagement through careful learning community. According to CAST (2018), learners in the 21st century “must be able to communicate and collaborate within a community,” as such mindfully structured peer work can “significantly increase the available support for sustained engagement.” Student feedback highlighted the desire for community in online learning environments, as well as faculty responsibility for fostering class participation in such a way that acknowledged social challenges from not being in a physical classroom (OLC, 2024, p. 12). For instructors stuck with a lack of engagement, defining peer roles, expectations, and means for providing one another with feedback instills a sense of responsibility in one another’s learning and success.  

Create a culture of collaboration by enabling learners to be active agents in designing their learning. UDL Checkpoint 8.3: Foster collaboration and community specifies a strategy to “Create cooperative learning groups with clear goals, roles, and responsibilities.” The OLC finds that students also “want to be consulted as co-creators of community and DEI strategy,” moving beyond buzzwords to adaptable, actionable frameworks for practice (p. 13). A course lends itself as a space to facilitate a community of practice that rises out of a body of theory or aligned with learning goals. Allowing each member of a course community to co-design their individual roles and recognize their own commitments to the greater whole helps to build rapport while learning.  

Collaborative learning tool spotlight: VoiceThread 

Learning tools designed to facilitate feedback and collaboration can help instructors save time on designing technical logistics for student activities. Some tools also offer multiple modes of engaging dialogue and feedback between members. 

Though several learning tools may overlap in learning activity type, such as written discussions or conversations, few offer specifically collaborative engagement adaptable for a variety of activities as much as VoiceThread. With the new user interface to be fully implemented by this June, VoiceThread also offers a more accessible tool for learners to engage in collaborative learning. VoiceThread facilitates multimodal means for members to give one another feedback, including written, audio, and video commenting.  

Learning design for collaboration 

Let us also not forget Lunsford’s (1991) warning of collaboration misconstrued in pedagogical application, where such can “masquerade as democracy when it in fact practices the same old authoritarian control” (p. 3-4). Collaborative learning design must be careful and clear in its aim to empower students to take part in constructing their learning contexts and sense of community.  

 

CAST (2018). Universal Design for Learning Guidelines version 2.2.
Retrieved from http://udlguidelines.cast.org 

Lunsford, A. (1991). Collaboration, Control, and the Idea of a Writing Center. The Writing Center Journal, 12(1), 3–10. http://www.jstor.org/stable/43441887  

Weber, N.L. & Gay, K. (2024). Empowering change together: Student perspectives on quality
online, digital, and blended learning. Online Learning Consortium.  

Image credit: Photo by Brooke Cagle on Unsplash

Introducing Learning Analytics at Loyola: The ‘How’ and ‘Why’ of Data-Informed Instruction

Introducing Learning Analytics at Loyola: The ‘How’ and ‘Why’ of Data-Informed Instruction

Data-driven decision-making is becoming increasingly important across many sectors, including education. As an instructor, you might have come across the term “learning analytics.” But what exactly does it entail, and how can it benefit faculty and students? Read on to gain a better understanding of what learning analytics encompasses and how it may boost your instructional efficacy.   

What is Learning Analytics? 

Learning analytics can be defined as the “collection, analysis, and interpretation of data related to students’ learning and the contexts in which it occurs”. This data is typically derived from various sources, including learning management systems (LMS), online course platforms, and student information systems. At Loyola, learning analytics data is currently drawn from LOCUS and Sakai—including several third-party tools integrated with Sakai such as Zoom, Panopto, VoiceThread, and Turnitin. 

How Does it Work? 

Learning analytics involves the use of advanced technologies and statistical techniques to extract meaningful insights from educational data. These insights can range from understanding student engagement and performance to identifying patterns and trends in learning behavior. At Loyola, faculty can glean insights from the Sakai Statistics tool and the analytics offered by specific teaching and learning tools (e.g., Panopto). They may also use their personalized Learning Analytics Reports to view aggregated instructional data in one location. 

Why is it Useful for Faculty?

1. Personalized Learning Experiences:

By leveraging learning analytics, faculty members can gain valuable insights into individual students’ learning needs, preferences, and progress. This allows them to tailor their teaching strategies and interventions to better meet the diverse needs of their students, ultimately fostering a more accessible and personalized learning experience.

2. Early Intervention:

Learning analytics can help faculty identify students who may be at risk of falling behind or struggling academically. By detecting these warning signs early on, instructors can intervene promptly, providing additional support and resources to help students succeed.

3. Data-Informed Decision-Making:

Learning analytics data, in conversation with other metrics such as teaching evaluations, test scores, and final grades, can help faculty make informed decisions about curriculum (re)design, instructional methods, and assessment strategies. This data-driven approach empowers instructors to refine their teaching practices to enhance student learning outcomes. 

4. Continuous Improvement:

By analyzing trends and patterns in student data over time, faculty can identify areas for change and improvement in their teaching practices and course design. This iterative cycle of reflection and refinement enables instructors to adapt to the evolving needs of their students and enhance their overall quality of instruction. 

Getting Started with Learning Analytics 

Learning analytics holds immense potential for faculty in higher education to enhance teaching and learning experiences. Embracing learning analytics can empower faculty and instructional support staff to create more effective and engaging learning environments that support the success of all students. 

To learn more about learning analytics at Loyola, visit our website. Faculty are invited to schedule a consultation with an ITRS Learning Design Engineer, who will provide access to the Learning Analytics Report as well as guidance in interpreting the report data and deriving actionable insights.

Striving and Thriving: The New and Improved VoiceThread

Striving and Thriving: The New and Improved VoiceThread

This blog entry is about VoiceThread – a collaborative multimedia slide tool that enables users to upload multimedia in slides where their peers can interact asynchronously – and it’s new and improved interface. The best tools for asynchronous learning are the ones that can most effectively facilitate learning outside of the course meeting times while also consistently striving to deliver a more engaging, user-friendly, and inclusive experience for all students. With a brand-new look and many enhancements, VoiceThread stands out as a high-caliber tool that keeps getting better.  

As one of the many technologies available to members of the LUC community, VoiceThread displays a strong dedication to constant improvement in their new and improved interface. The following improvements make for an even better experience using VoiceThread: 

  • Screen-reader accessibility 
  • Simplified conversation structure that is more user-friendly 
  • Zoom & Pan controls for moving as you add a comment 
  • Easier slide navigation for viewing and commenting 

The new interface is available to you now and can be toggled by logging into VoiceThread and going to the Display Preferences page. For anyone who prefers the legacy interface, please keep in mind that it will still be available until summer of 2024. 

For more information, be sure to take a look at the ITRS VoiceThread Page and VoiceThread Documentation. 

For assistance with VoiceThread, feel free to book an appointment with an ITRS Team member. 

Keywords in Higher Ed: AI Authoring Tools

Keywords in Higher Ed: AI Authoring Tools

During my graduate degree coursework in composition and rhetoric, I came across a book titled Keywords in Writing Studies, edited by Paul Heiker and my professor himself, Peter Vandenberg.

The book’s concept is given in its title: Keywords provides a fresh and concise array of essay entries, each packed with heavy research dedicated to unpacking an operative referent in the realm according to its related studies, theories, and applications.

As a student that has kept nearly every required textbook, I can reflect on the utility of such a cogent textbook concept, and now would like to transfer its reader-friendly approach to the great wide realm of instructional technologies—to start, within in the smaller realm of AI authoring tools for teaching and learning.

I anticipate my keywords approach will be much messier and less formal in scholarship, as the body of published works, studies, and opinions on AI authoring is sprawling and immense. However, the goal is to offer an ongoing collection of resources that facilitate your own research and dialogue around important questions about technology in teaching and learning.

With this keywords approach in mind, let’s begin!

AI authoring tools & learning

AI authoring tools such as ChatGPT, Bard, DALL-E3, and the like, pose immediate questions for rethinking how to teach core learning tasks and skills, particularly those assigning students to compose original work.

Though there is no direct teaching solution to safeguard against cheating, and worse, whether a student is actually demonstrating their learning, many conversations in higher education circle back to how assessments are designed for students to think critically about information and acquire digital literacy. Such classroom-rooted strategies and conversations about AI authoring are also recommended by the leading product developing company in AI writing detection, Turnitin.

Difficulties in regulating AI use & ethical concerns

Studies have noted areas of AI use that pose challenges for demarcating its ethical scope and regulation. Key questions implicated by AI machine learning and data science include responsibility for use, bias and discrimination within development, transparency in development, and responsibility for stakeholder action or policy.

From a corporate stance, the move towards regulation is difficult, if not impossible, as implementation of restrictions cannot be imposed on a scale that corresponds with its users. Though statements and calls to pause development have been made, much AI development is within the private sector, and those that might be in the position to draft such regulations do not necessarily understand the nature and scope of the technological developments to impose effective boundaries.

Ethical considerations with AI authoring tools that more directly relate to teaching and learning include biases against non-English speakers and replications that bypass creative attribution, such as the popular query of Greg Rutkowski styled outputs that mimic his aesthetic without his consent.

Academic integrity & teaching with AI

Because of its dominance in the assessment tools arena and Loyola’s adoptions of several products, Turnitin resources on academic integrity and AI writing are within the purview of technology-based assessment in higher education. Their latest webinar offering on how to include AI in institutional policy offers a puzzle map for approaching the complex issue of AI.

An Exigence for Faculty Development

A silver lining that AI authoring brings to our attention is the prompt for enriching faculty development through dialogue and creative learning design.

Though some find AI authoring tools a cause for panic, many specialized faculty in the fields of medicine and sciences are excited about the opportunities AI provides for teaching and learning.

Reflections in faculty panels, such as this one at Ole Miss University of Mississippi or professional higher ed groups, such as the AI in Education Google group.

While Loyola Instructional Technology and Research Support does not decide on the adoption of learning tools for the institution, we do invite ideas for teaching strategies, further research, and learning designs.

Get a head start on administering test taking with Respondus LockDown Browser

Get a head start on administering test taking with Respondus LockDown Browser

Respondus LockDown Browser is a locked web browser that integrates with the Sakai Tests & Quizzes tool. LockDown Browser prevents users from accessing other programs and websites for the duration of their Sakai assessment.

Taking tests can be stressful, so adding the additional step of having to use a system you are not used to can be a bit much for students and instructors alike. It is best to familiarize yourself as much as possible with how to use Respondus LockDown Browser before you are asked to take or administer an assessment using the tool in Sakai.

ITRS has provided a lot of helpful information to calm your (instructor) test-taking nerves on our Respondus LockDown Browser page.

As a reminder, LockDown Browser is not currently compatible with Sakai on Chromebooks or iPads. You can find operating system requirements on Respondus Support if you have any compatibility questions.

If your students run into any issues while taking an assessment with LockDown Browser, make sure to direct their issues to ITRS by emailing ITSServiceDesk@luc.edu.

Happy test-taking to all!

Linked in Lessons: Internal & External Tools 

Linked in Lessons: Internal & External Tools 

This blog post is about the Sakai Lessons tool, links to other Sakai tools, VoiceThread, Top Hat, and how to maximize the effectiveness of a course using your Sakai site. Just as the main purpose of an LMS is to enhance the learning process, you can – and absolutely should – utilize Lessons in Sakai to deliver educational resources to your course in an orderly, easily navigable fashion. Of all the internal tools available in Sakai, Lessons plays a special role by enabling you to organize the learning materials in your course and minimize student confusion in locating readings, assignments, assessments, discussion forums, and even external tools.  

When assisting faculty with Sakai one-on-one or in the context of an orientation/group presentation, my colleagues in Instructional Technology and Research Support (ITRS) and I often explain to faculty that Lessons is a “three ring binder” that allows you to arrange the content in all the other tools. You can create a Lessons page for each week (Week 1, Week 2, etc.) or module (Module 1, Module 2, etc.) or any other increment that you use in your class.  

Why Lessons? 

To obtain a more detailed and extremely specific understanding of the value Lessons can bring to your course, imagine yourself in the following (quite cumbersome) scenario: 

You are teaching a course with a Sakai site and it is Week 3 of the academic term. You just finished uploading the Week 3 Readings to the Resources tool, creating the Week 3 Assignment in the Assignments tool, added a Week 3 Topic to the Discussions tool, published your Week 3 Quiz in the Tests & Quizzes tool, built a “project idea” recording assignment in VoiceThread, and made an icebreaker activity for in-class completion using Top Hat. To notify your students, you compose a message using Announcements and ask your students to…: 

  • Go to Resources and locate the assigned readings in the Week 3 Readings folder. 
  • Submit your Week 3 Assignment in Assignments 
  • Access the Week 3 Topic in the Weekly Discussions forum and post your reading response (and respond to a classmate) in the Discussions tool.  
  • Take the Week 3 Quiz in Tests & Quizzes 
  • Go to VoiceThread and “record yourself.”  
  • Complete the icebreaker in Top Hat during the class meeting.  

Do you feel fatigued from reading that scenario? I feel that way from writing it. In this scenario, it is also not difficult to imagine that a sizable portion of your students reported problems with finding and completing the assigned content. Fortunately, there is a much more effective strategy for simplifying the process.  

Internal Tools in Lessons 

As an alternative to the situation described in the previous section, you can include links to all the activities in different Sakai tools within a Lessons page. Once you’ve uploaded/created the weekly content, you can create a new lessons page titled “Week 3”, add the weekly assignment/quiz/discussion/readings to the page, mark each item as a prerequisite for advancing to the next week’s page (if applicable), and direct your students to “Complete the activities in ‘Week 3.’”The majority of Sakai tools are linkable within a Lessons page and can potentially reduce confusion (and the process of navigating to so many different tools, of course). Using this habit, you may not even need to send so many announcements (and hope everyone reads them).  

VoiceThread & Top Hat: Interactive, Asynchronous Learning 

Along with the tools available within Sakai, some of the external tools available to you can now be added to a Lessons page thanks to recent upgrades and enhancements. For instance, several enhancements to the VoiceThread tool such as new assignment types and a deeper integration in Sakai have resulted in a much more streamlined experience for assigning, completing, and grading work. As of 2022, Assignments in VoiceThread – a multimedia recording/uploading tool for collaborative learning via asynchronous interaction – can now link directly from a Lessons page. Instead of requiring students to select the VoiceThread tool (to authenticate their account) and directing them to complete the assignment in the VoiceThread tab in Sakai, you can now add a link to a VoiceThread assignment such as creating a recording, commenting on a recording, or just watching one. Once completed and graded, scores for these assignments will also populate in the Sakai Gradebook tool directly.  

In addition to this improvement, a much more recent upgrade to Top Hat now enables you to link to assigned content through a Lessons page using the same method as linking to VoiceThread. As a tool for interactive learning with a vast array of features to facilitate and track student engagement, you can use Top Hat for live, interactive quizzes as well as tracking attendance, creating assessments, sharing reading materials, and more. Although it is important to note that Top Hat requires a student fee and for users to create their accounts directly through the tool, grades for assigned content will now populate the Gradebook just like VoiceThread.  

Going Forward: Help & Resources 

Based on the (perhaps excessive) details provided in the sections above, the value and purpose of Lessons pages is apparent. In short, there are many ways you can incorporate content from other sections to simplify the process of navigating Sakai for your students.  

For assistance with Sakai, VoiceThread, Top Hat, or any other instructional technology, please schedule a consultation with an ITRS team member. Here are some additional help resources for Sakai Lessons, VoiceThread, and Top Hat: 

Sakai Lessons Documentation 

VoiceThread Documentation  

Top Hat Documentation 

Top Hat Support 

Teaching Strategies for “the ChatGPT wave”: Transferable Lessons from Proctoring Tools

Teaching Strategies for “the ChatGPT wave”: Transferable Lessons from Proctoring Tools

Read time: 5 minutes

In my popular culture research, a cultural movement often carries the referent of a “wave.” Example: The Hallyu movement of the 1980s to 2000s (debatable depending on the scholar you consult) refers to a “wave” of Korean popular culture beyond the nation’s borders.

In my day-to-day work, I might use the referent “wave” to refer to the conversation en vogue in the fields of teaching, learning, and academic integrity: in this instance, let’s use the referent “the ChatGPT wave.”

But first, a quick blast from the past [three years] for context:

Higher education conversations about assessment in digital learning environments rarely avoid a debate on academic integrity. From my experience—and likely yours—this specific debate maps itself on a spectrum ranging somewhere from “enforcing academic integrity with the latest and most stringent means available” to “recognizing no perfect enforcement is possible and does not seem productive to ensure student learning”.

My emphasis here is on two points, to be revisited very soon: (1) that no flawless enforcement of academic honesty is possible with a tool; and (2) that a fixation on enforcement of not cheating rather than a focus on fostering student learning leads to costly outcomes for all.

Perhaps this diversity of positions on assessment with academic integrity emerged rather sharply during the emergency move to online learning per the COVID-19 pandemic. The immediate legacy might be summed up in some phases: faculty unrest for a technology-based solution to prevent students from cheating, a hasty adoption of an inadequate solution, uncomfortable and stressful assessments for both its administrating faculty and its examinee students using said inadequate solution, then a quick abandonment of said inadequate solution due to privacy violations (some of which are undergoing legal disputes, well within our region).

As we embark on the amazing frontier of AI (artificial intelligence) authoring tools, let us brace ourselves for the ChatGPT wave by remembering to prioritize student learning rather than hunting for cheaters. Here are some teaching strategies for AI authoring tools like ChatGPT, very much informed by our recent misadventures with proctoring tools:

Remember that a tool is not a human. Just like the highly touted and speedily adopted proctoring tools of yesteryear cannot guarantee or completely safeguard cheating by a human student, ChatGPT and AI tools share an obvious quality: ChatGPT is not a human student. A human demonstrates learning for a specific learning outcome, whether by sharing a sentiment or committing an error that is irrevocably human. Looking for signs of life might mean creating space for students to show their human selves, perhaps by engaging conversation about something fun to them, or posing a writing prompt that is more specific to their periphery of being, or assigning something creative or audio recorded. If you assign work that is general and without connection to your students, expect machine-like responses.

Revise your learning objectives and corresponding activities for someone who wants to learn. As an instructor, I find my essential job description, whether I am teaching professional business writing or instructional design, is to facilitate meaningful learning experiences for my students. Many times, essential charge prompts reflection and revision of my coursework and assessment designs. Rising to the occasion of facilitating meaningful learning is an easy move when students want to learn. National enrollment in higher education has seen better days, so being interesting seems like a project of mutual interest for faculty.

Find help for the things you don’t know. Since my start in the field of teaching and learning support, I have seen resources and services grow rapidly in the name of faculty teaching online and with instructional tools. It is highly likely that your place of teaching extends such resources and services to you, if only you seek them out. “Closed mouths don’t get fed,” as the saying goes, and in my experience, if you don’t ask for help, you will only fall more behind. Technologies are always updating and departments may shift in structure, but you can control your own course (pun intended) by looking for those that literally have in their job descriptions to help you.

Learn about the tool’s development and limitations, and share this with your students. OpenAI, the developers behind ChatGPT, are very transparent about its testing process and limitations as an AI authoring tool. Some key and critical limitations to note so far include a proclivity to outputs that are “toxic or biased” with made-up facts; and an English-speaking, and therefore cultural bias “towards the cultural values of English-speaking people.” Having a conversation with your students about such limitations makes for transparency in your class while addressing the serious possibilities for mis-presentations of self. Who wants to be seen as toxic or treacherous?

If we have learned anything from the Test Cheating Scare of 2020, let us brace for this ChatGPT wave with clarity of purpose as instructors, and aim for human exchanges with our students.

Christmas is Around the Corner, and so is Sakai 22!

Christmas is Around the Corner, and so is Sakai 22!

Don’t let final exams put a damper on your holiday spirit! Instructional Technology & Research Support (ITRS) is hard at work and preparing to unveil a new version of the Sakai LMS just in time for the holidays. Loyola will upgrade to Sakai version 22 on Wednesday, December 21st. During the upgrade process, Sakai will be unavailable (approximately 7am-11am Central Time). Faculty, staff, and students are not required to make any changes for the upgrade; all course and project sites will be intact and ready for use in Sakai 22. 

The annual Sakai upgrade ensures that Loyola can take advantage of the latest Sakai features and functionality, and we can eliminate pesky software bugs that have been squashed by the Sakai community. A few highlights you can anticipate in Sakai 22 include:

  • A new tool, Conversations, allows for threaded Q&A and discussions. Conversations enables users to filter and bookmark posts so it’s easy to find the content that matters most. 
  • New page layout options in the Lessons tool. 
  • A new integration with Gradescope, an AI-supported grading platform that streamlines grading of paper-based, bubble sheet, and coding assessments. 

Want to learn more? Visit Sakai 22 Upgrade. Here, you’ll find registration links for informational sessions conducted by your friendly ITRS colleagues, a promotional video highlighting new Sakai features, and more!