Tag: Smarter

  • Smarter Student Support: Designing Connected Ecosystems That Drive Equity and Completion

    Smarter Student Support: Designing Connected Ecosystems That Drive Equity and Completion

    Across higher education, student support systems are often built for institutions, not for students. As a result, many learners encounter a maze of disconnected services that feel reactive, impersonal, or inaccessible. For students already balancing work, caregiving, and financial pressures, this fragmentation can be the difference between staying enrolled and stopping out. 

    As Chief Academic Officer, I’ve seen how crucial it is to align support structures with academic goals and student realities. Institutions must move beyond piecemeal solutions and instead design holistic ecosystems that prioritize student experience, equity, and completion from the start. That means leveraging data, embracing design thinking, and fostering cross-campus collaboration. 

    Where fragmentation undermines student outcomes 

    Many institutions approach support through isolated units: advising, student success, IT, and academic departments each operating in silos. The result is a disjointed experience for students, where important information is delayed or missed altogether. Without a unified view of the student journey, opportunities for early intervention or personalized support fall through the cracks. 

    This fragmentation disproportionately affects students from historically underserved backgrounds. When support isn’t accessible or timely, those with less institutional knowledge or fewer resources are more likely to disengage. 

    Disconnected systems can lead to: 

    • Missed early warning signs 
    • Delayed or generic interventions 
    • Frustration from navigating multiple systems 
    • Lower retention and completion rates 

    It’s not enough to offer services. It’s crucial to ensure those services are connected, visible, and tailored to real student needs. 

    In my experience, when institutions treat student support as a set of tasks rather than a strategic function, it limits their ability to make meaningful progress on equity and completion. Students shouldn’t have to navigate a patchwork of websites, offices, and policies to get the help they need. They deserve a system that anticipates their challenges and responds in real time. 

    What a connected, learner-first ecosystem looks like 

    A modern support ecosystem begins with data. Institutions need to unify data from across the student lifecycle (from admissions to advising to classroom performance) to create a comprehensive view of each learner. With integrated platforms, faculty and staff can access timely insights to guide interventions and support decisions. 

    At Collegis, we’ve seen how data-powered ecosystems — supported by platforms like Connected Core® — drive measurable improvement in retention and equity. But technology alone isn’t enough. Data needs to be paired with personalization. That means using predictive analytics to identify students at risk and deliver outreach that is relevant, proactive, and human. 

    It’s not about automation replacing connection. It’s about enabling the right kind of connection at the right time. 

    I often ask, “Are support systems designed for students or around them?” A learner-first ecosystem doesn’t just meet students where they are academically. It considers their time constraints, personal responsibilities, and evolving goals. It removes barriers rather than creating new ones. 

    Key elements of a connected ecosystem include: 

    • Unified, actionable student data 
    • Proactive, personalized interventions 
    • Support that reflects real student lives 
    • 24/7 digital services and hybrid options 

    Flexible course scheduling, hybrid advising models, and round-the-clock support aren’t just conveniences. They’re equity tools that recognize the unique needs of today’s student body. 

    Using design thinking to reimagine support systems 

    Design thinking offers a powerful framework for this work. It starts with empathy — understanding the lived experience of students and mapping the friction they encounter in navigating institutional systems. From there, you can co-create solutions that reflect students’ realities, prototype interventions, and iterate based on feedback and outcomes. 

    I’ve found this approach invaluable for aligning innovation with mission. It brings together diverse voices (students, faculty, advisors, technologists) to build support systems that are not just efficient, but equitable. 

    Design thinking allows us to move beyond assumptions. Instead of designing around legacy processes or internal structures, we start with real student stories. This helps us ask better questions and arrive at more inclusive answers. 

    It’s not just about solving problems—it’s about solving the right problems. 

    The role of academic leadership in cross-campus collaboration 

    No single office can transform student support in isolation. It requires a coalition of academic, technical, and operational leaders working in sync. Academic affairs plays a central role in this work, bridging the gap between pedagogy and operations. 

    In my experience, success begins with a shared vision and clear metrics: 

    • What are we trying to improve? 
    • How will we measure progress? 

    From there, we build alignment around roles, resources, and timelines. Regular communication and an openness to iteration keep the momentum going. 

    One of the most powerful things academic leaders can do is model cross-functional thinking. When we approach student success as a collective responsibility, we shift the culture from reactive to proactive. And when data is shared across departments, everyone can see the part they play in helping students succeed. 

    Turning strategy into action

    At Collegis, we’ve partnered with institutions to bring student-centered strategies to life: 

    • Our Connected Core data platform enables the kind of integration that underpins personalized support. 
    • Our deep higher education experience ensures solutions align with academic priorities. 

    We believe in the power of aligning strategy with execution. We don’t just talk about transformation. We build the infrastructure, train the teams, and help institutions scale what works. From data strategy to digital learning design, we act as an extension of our partners’ teams. 

    This work is about more than improving services. It’s about advancing equity, accelerating completion, and fulfilling our mission to support every learner. 

    Designing for what matters most 

    If we want better outcomes, we have to start with better design. That means asking not just what services you offer, but how and why you deliver them. It means shifting from reactive support to intentional, data-informed ecosystems that center the student experience. 

    By embracing design thinking, unifying your systems, and working across traditional boundaries, you can build the kind of support that today’s learners deserve and tomorrow’s institutions require. 

    Student success shouldn’t depend on luck or persistence alone. The most impactful institutions are those that view support not as a service, but as a strategy — one that helps every student reach their full potential. 

    Let’s talk about how to design smarter student support together. 

    Innovation Starts Here

    Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.

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  • How to build smarter partnerships and become digitally mature

    How to build smarter partnerships and become digitally mature

    Across higher education, the conversation about digital transformation has shifted from connection to capability. Most universities are digitally connected, yet few are digitally mature

    The challenge for 2026 and beyond is not whether institutions use technology, but whether their systems and partnerships enable people and processes to work together to strengthen institutional capacity, learner outcomes, and agility.

    Boundless Learning’s 2025 Higher Education Technology and Strategy Survey underscored this transition: 95 per cent of leaders said education management partners are appealing, and one in three described them as extremely so. Yet preferences are changing: modular, fee-for-service models now outpace traditional revenue-sharing arrangements, signalling a desire for flexibility and control.

    Leaders also identified their top digital priorities: innovation enablement (53 per cent), streamlined faculty workflows (52 per cent), and integrated analytics (49 per cent). In other words, universities are no longer chasing the next platform; they want systems that think.

    Why systems thinking matters

    That idea is central to Suha Tamim’s workAnalyzing the Complexities of Online Education Systems: A Systems Thinking Perspective. Tamim frames online education as a dynamic ecosystem in which a change in one area, such as technology, pedagogy, or management, ripples through the whole. She argues that institutions need a “systems-level” view connecting the macro (strategy), meso (infrastructure and management), and micro (teaching and learning) layers.

    Seen this way, technology decisions become design choices that shape the culture and operations of the institution. Adopting a new platform is not just an IT project; it influences governance, academic workload, and the student experience. The goal is alignment across those levels so that each reinforces the other.

    Boundless Learning’s Learning Experience Suite (LXS) embodies this approach. Rather than adding another application into an already crowded environment, LXS helps institutions orchestrate existing systems; linking learning management, analytics, and support functions into a cohesive, secure, learner-centred framework. It is a practical application of systems thinking: connecting data flows, surfacing insights, and simplifying faculty and learner experiences within one integrated ecosystem.

    From outsourcing to empowering

    The shift toward integration also reflects how universities engage external partners. Jeffrey Sun, Heather Turner, and Robert Cermak, in the American Journal of Distance Education, describe four main reasons universities outsource online programme management:

    1. Responding quickly to competitive pressures
    2. Accessing upfront capital
    3. Filling capability gaps
    4. Learning and scaling in-house

    Their College Curation Strategy Framework shows that institutions partner with external providers not just to cut costs, but to build strategic capacity. Yet the traditional online programme management (OPM) model anchored in long-term revenue-share contracts has drawn criticism for limited transparency and loss of institutional control.

    Our own data suggest that this critique is reshaping practice. Universities are moving from outsourcing to empowerment: seeking education-management partners who enhance internal capability rather than replace it. This evolution from OPMs to Education Management Partners (EMPs) marks a decisive turn toward collaborative, capacity-building relationships.

    The Learning Experience Suite fits squarely within this new model. It is not an outsourced service but a connective layer that enables institutions to manage their digital ecosystems with greater visibility and confidence, while benefiting from enterprise-grade integration and security. It exemplifies partnership as a mechanism for capability development, a move from vendor management to shared strategic growth.

    From fragmentation to fluency

    Many institutions remain caught in what might be called digital fragmentation. According to our survey, nearly half of leaders cite data silos, disconnected platforms, and inconsistent learner experiences as obstacles to progress. These are not isolated technical issues; they are systemic barriers that affect pedagogy, governance, and institutional trust.

    Tamim’s framework describes such misalignment as a state of “disequilibrium.” Overcoming it requires coordinated action across levels, strategic clarity from leadership, adaptive management structures, and interoperable tools that make integration intuitive. The objective is to move from digital accumulation to digital fluency: an environment where technology amplifies, rather than fragments, institutional purpose.

    Learning Experience Suite was designed precisely to address this. By connecting data across systems, enabling real-time analytics, and ensuring accessibility through a mobile-first design, it allows institutions to build coherence and confidence in their digital operations.

    Building partnerships

    The next phase of higher education technology will be defined not by the tools universities choose but by the quality of their partnerships. As scholars like Sun have cautioned, outsourcing core academic functions without transparency can erode autonomy. Conversely, partnerships grounded in shared governance, open data, and aligned values can strengthen the academic mission.

    For Boundless Learning, this is the central opportunity of the coming decade: to reimagine partnership as co-evolution. Universities, platforms, and providers function best as interconnected actors within a wider learning system, each contributing expertise to advance learner success and institutional resilience.

    When viewed through a systems lens, the key question is no longer whether universities should outsource, but how they orchestrate. The challenge is to combine the right mix of internal capability, external expertise, and interoperable technology to achieve measurable impact.

    That, ultimately, is what digital maturity requires and what the Learning Experience Suite was designed to deliver.

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  • Stronger Brand, Smarter Website: Collegis Powers Digital Growth for Denison Edge

    Stronger Brand, Smarter Website: Collegis Powers Digital Growth for Denison Edge


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    Increase in total users

    How Denison Edge partnered with Collegis to clarify brand identity, launch a content strategy, and rebuild its website to drive user growth.

    Denison Edge, an initiative by Denison University, equips students, graduates, and professionals with in-demand, industry-relevant skills through stackable micro-credentials. To support ambitious enrollment goals and elevate its brand presence, Denison Edge turned to Collegis Education for strategic marketing support and a digital refresh. With a small internal team and big aspirations, Denison Edge sought to better articulate its value proposition and reach more prospective learners through a high-performing, content-rich website.

    The Results: Stronger Presence, Measurable Growth

    Within four months of relaunching the website, Denison Edge experienced marked improvements in site traffic and user engagement:

    • +21% YoY increase in total users
    • +16% YoY growth in sessions and new users
    • 96% increase in Rental Space page traffic
    • 1,284 sessions on new Registration page
    • 310 sessions on new Business Immersion page

    The top-performing pages — including Programs and Homepage — also achieved +16% YoY growth, confirming the success of the site redesign and content strategy.

    Ashley Nicklay

    Sr. Director – Student Lifecycle, Collegis Education

    The Takeaway: Strategy and Storytelling Drive Digital Success

    The Denison Edge case study illustrates the impact of aligning brand clarity, content strategy, and digital design. Through partnership with Collegis, Denison Edge built the foundation for ongoing growth — positioning itself as a leader in flexible, career-focused education.

    Transform Your Digital Presence with Collegis

    Want to grow visibility and enrollment for your programs? Contact Collegis to explore how brand and digital strategy can help you lead with confidence.

    Let’s Start Writing Your Success Story

    See what’s possible when strategy, creativity, and execution come together. Partner with Collegis to turn your challenges into outcomes worth sharing.

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  • Design Smarter, Teach Better: How Thoughtful Course Webpages Can Improve Online Learning – Faculty Focus

    Design Smarter, Teach Better: How Thoughtful Course Webpages Can Improve Online Learning – Faculty Focus

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  • Smarter Support: How to Use AI in Online Courses and Teach Your Students to Use It Too – Faculty Focus

    Smarter Support: How to Use AI in Online Courses and Teach Your Students to Use It Too – Faculty Focus

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  • Smarter Support: How to Use AI in Online Courses and Teach Your Students to Use It Too – Faculty Focus

    Smarter Support: How to Use AI in Online Courses and Teach Your Students to Use It Too – Faculty Focus

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  • A smarter way to manage public dollars

    A smarter way to manage public dollars

    Key points:

    For public school districts across Florida and much of the country, employee benefits–particularly health insurance–are among the largest and fastest-growing budget line items. But too often, decision-makers in these districts manage benefits with incomplete information, little visibility into vendor practices, and limited tools for addressing escalating costs.

    Part of the problem is the complexity of the healthcare delivery system itself. The supply chain encompasses numerous moving parts, making cost drivers challenging to identify. While not intentional, school districts need to both educate and empower their agents and their team of specialists to peel back the layers that create added costs. Districts must also be willing to look inward.

    One of the real secrets to cost containment is transparency. A committed school district that wants to take control of its program must first understand its strengths and weaknesses, then fill gaps with specialists who can uncover hidden costs–an ongoing, vigilant effort that reveals the actual sources of waste and inefficiency. These efforts include transparent procurement and optimizing deal tension, as well as pharmacy contract negotiation, claims repricing, claims redirection, and more. Only then can districts make informed, strategic decisions that control costs and improve outcomes.

    The cost of opaque processes

    The result is a system that too often lacks meaningful transparency. School boards are presented with insurance renewals but not the data behind cost increases, insights into why claims costs are as they are, or guidance on how to contain them. Carriers field calls from district employees, but little to no reporting is returned to help the district understand what’s driving service demand. Without actionable data and intelligence, many districts default to passive renewals, accepting annual rate hikes without a clear strategy to contain costs or improve the employee experience.

    Building a foundation for smart decision‑making

    It doesn’t have to be this way. True transparency–in procurement, data, and intelligence–is not just a matter of regulatory compliance; it’s the foundation for smarter decision-making, better benefits engagement, and long-term cost control. When school districts gain access to previously unavailable data and unfiltered insights into how their benefits programs are performing, they can better serve their educators and protect their budgets.

    One example is call utilization data. Many school boards have no visibility into how often–and why–their employees contact their insurance carriers. Without this insight, they may not realize, for instance, that a large number of calls could pertain to prescription benefit confusion–something they could address through targeted employee education or plan redesign. Transparency in that data enables the district to act rather than react. It transforms benefits management from a cycle of guesswork into a proactive strategy, where decisions are driven by real needs rather than assumptions.

    Beyond call utilization, pharmacy and provider network fees can quietly escalate into six- or seven-figure losses if not monitored. Pharmacy contracts in particular demand negotiation by seasoned experts who understand the contractual nuances and levers that drive real savings. Ideally, a benefits partner will have a pharmacy benefits consultant or Doctor of Pharmacy on staff to review contracts and formularies line by line. Likewise, provider network claims and therapies must be benchmarked against competitive pricing. Transparency in these areas unleashes competition, and competition drives costs down.

    Operationalizing and incentivizing transparency leads to cost containment

    When a school district commits to operationalizing and incentivizing transparency, it can start to regain control of its costs. This process begins with examining the bigger picture of why and how the health-delivery supply chain can be leveraged or disintermediated to produce better outcomes. District leaders realize they have the power to effect change. Superintendents, HR, and finance departments can work in unison to embed transparency by empowering and incentivizing their benefits consultants to focus on solutions that reduce the district’s costs. This includes aligning agent compensation models with the district’s cost-containment roadmap.

    Equally important is how this transparency gets operationalized. Most small- to mid-sized school districts don’t have the staff or resources to analyze claims trends, facilitate wellness programs, or manage a complex benefits ecosystem. That’s why some are turning to outside partners to act as an extension of their internal team–not just as benefits brokers but as collaborative advisors who help design, implement, and maintain smarter benefits strategies. The difference is night and day: Instead of a transactional approach focused solely on renewals, these partners bring a year-round, data-driven mindset to benefits administration.

    Reclaiming control through radical transparency

    Ultimately, it’s about control. For too long, many public entities have ceded control of their benefits strategy to intermediaries operating behind closed doors. Radical transparency flips the script. It empowers school districts to take ownership of their benefits programs to lower costs and improve outcomes for the people they serve.

    That change doesn’t happen overnight. It starts with asking better questions:

    • Do we receive actionable data on employee engagement and utilization, and are we using it to drive measurable change?
    • Is our procurement process fully competitive and transparent, or are outdated practices perpetuating the status quo?
    • Do we have the tools and thought leadership from our broker to act on these insights?
    • Is our broker delivering transparent, cost-containment strategies, and are those solutions proven to reduce expense?
    • Are we empowered by a partnership structured around ROI?
    • Are we incentivizing our broker and vendor partners to prioritize ROI, transparency and ongoing savings?
    • Is our internal team contributing to transparency, data analysis and ROI? If not, what organizational changes are needed?

    The answers may be uncomfortable, but they’re necessary for reclaiming control. And in today’s fiscal climate, where every dollar matters and expectations for good governance are higher than ever, doing what’s always been done is no longer good enough.

    Transparency is more than a buzzword. It’s a path to fiscal responsibility, employee trust, and strategic clarity. And for public school districts facing mounting healthcare costs, it may be the smartest investment they can make.

    Latest posts by eSchool Media Contributors (see all)

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  • Workforce Planning Meets AI: A Blueprint for Smarter Surveys – CUPA-HR

    Workforce Planning Meets AI: A Blueprint for Smarter Surveys – CUPA-HR

    by Christy Williams | May 21, 2025

    For HR professionals in higher education, workforce planning has evolved into a strategic discipline. Filling positions is no longer enough — leaders must anticipate talent needs, support professional growth and align development opportunities with institutional goals. A well-designed needs assessment gives HR teams the insight to take action with confidence and create lasting impact.

    In the CUPA-HR webinar, Survey Says! Using HR Data and AI to Maximize Analysis of Needs, presenters from Harvard University’s Center for Workplace Development shared how their team designed and executed a large-scale, data-informed, AI-supported needs assessment. The goal? To better understand learning needs and create targeted strategies for professional growth across a decentralized institution.

    Here are the key takeaways from their process.

    Start With a Strategic Why

    Before sending a single survey question, clarify what you’re hoping to learn — and why it matters.

    At Harvard, the team began their needs assessment with a clear objective to understand learning and development needs across various employee groups as part of a larger workforce strategy. This meant designing a survey aimed at uncovering more than surface-level training needs, asking instead: What do our employees really need to grow and thrive in their roles?

    Their advice to other HR teams is to anchor your assessment in your institution’s strategic goals and organizational context. Let that “why” guide your survey design from the start.

    Design a Survey That Reflects Your Workforce

    A successful needs assessment is tailored to the specific population it serves rather than one-size-fits-all.

    Harvard’s workforce includes individual contributors, supervisors and executives across many schools and units. Their team created targeted questions for each group and pre-populated some responses using data from their HRIS system to reduce survey fatigue and improve accuracy.

    Make sure your questions are relevant to different audience segments, and use the data you already have to streamline the experience for respondents.

    Boost Participation Through Targeted Communications

    Even the best survey won’t produce results without strong participation. Driving engagement was one of the biggest challenges for Harvard, as it is for many institutions. Their team addressed this by securing leadership support, crafting targeted communications and clearly communicating the value of the survey to employees.

    To boost response rates on your own campus, consider using champions across departments, timing your outreach thoughtfully and explaining how the data will be used to benefit staff.

    Use AI Thoughtfully to Analyze Large Data Sets

    If your survey includes open-ended responses, you’ll likely end up with more data than you can quickly process — especially if your institution is large. This is where AI can help.

    Harvard’s team used a combination of AI tools to analyze thousands of comments and identify themes. But they stressed that the human element remained critical. They invested time in crafting the right prompts, testing outputs and verifying results before presenting them to stakeholders.

    Their approach to AI offers an important lesson: AI can accelerate analysis and bring fresh insights, but it’s not a shortcut. You need to build a process that includes human judgment, data verification and transparency.

    Integrate HR Data for Deeper Insights

    One of the most impactful decisions the Harvard team made was linking survey responses to existing HR data. This allowed them to connect learning needs to specific job roles, departments and demographics — enabling more targeted follow-up and planning.

    By incorporating HRIS data, they were also able to personalize survey questions and reduce respondent burden. That integration enhanced both the quality of their data and their ability to act on it.

    If you’re planning a survey, consider how existing HRIS data can be used to sharpen your questions and deepen your analysis.

    Turn Results Into Action

    The final — and perhaps most critical — step is using what you’ve learned.

    At the time of the webinar, the Harvard team was in what they described as the “where are we now” stage and had begun implementing some of the recommendations from their survey analysis. They emphasized the importance of translating results into practical strategies that support learning and development, talent mobility and organizational effectiveness.

    To do the same on your campus, be sure to:

    • Share key findings transparently with stakeholders.
    • Identify priority areas for development or investment.
    • Use insights to shape programming, leadership development or change management strategies.

    Embrace Experimentation and Continuous Learning

    The Harvard team acknowledged that this process wasn’t perfect — and that was okay. They embraced experimentation, learned from trial and error, and remained open to improving their approach as they went.

    Their experience is a reminder that innovation in higher ed HR — especially when integrating AI — is a journey. Don’t be afraid to pilot new tools and adjust your process.

    Watch the Webinar Recording

    Interested in learning more about Harvard’s process? The full webinar recording and slide deck are available here.

    More CUPA-HR Resources

    Harnessing the Power of Big Data for Sound HR Decision Making — This article examines using workforce data to make good business decisions with confidence.

    Data Visualization and Storytelling Tips and Tools for HR — This on-demand CUPA-HR webinar covers practical tips and tools you can use to share compelling data stories and data visualizations.

    AI in Higher Education HR Toolkit — Best practices and tools for using AI technologies thoughtfully and safely.



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  • Proven Tips For Smarter Studying

    Proven Tips For Smarter Studying



    Unlock Your Brainpower: Proven Tips For Smarter Studying





















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