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AACSB’s proposed 2026 Global Standards for Business Education introduce a structural shift in how business schools must demonstrate readiness for an AI-enabled business environment. Under Standard 4.3 on Digital Agility, artificial intelligence literacy moves from experimental innovation to a measurable accreditation expectation.
As written in the exposure draft, schools must provide “curriculum maps identifying where and how learners engage with current and emerging technologies.” This means the school has a clear plan showing exactly where technologies like AI are taught, how students use them, and how that learning is measured.
In plain terms, it proves AI isn’t just something one class experiments with. It’s intentionally built into the program, tied to learning goals, and assessed. That’s what makes AI literacy a formal, trackable requirement instead of an optional innovation.
But the standard doesn’t stop at mapping. It also requires schools to provide “selected syllabi or course materials demonstrating technology-enabled instruction or assignments,” which shows AI is formally embedded in coursework. Additionally, it calls for “examples of student work showing appropriate technology use, interpretation of results, and communication of findings,” making clear that AI engagement is evaluated, not assumed.
Standard 4.3 further requires “descriptions of technologies, platforms, or tools used within courses or experiential learning,” along with “evidence of instruction related to responsible and ethical use of technology.” That means AI literacy includes both applied competence and ethical understanding. Finally, schools must “provide documentation of curriculum review processes used to maintain currency in technology-related content.” This demonstrates that AI integration is regularly updated as tools evolve.
Taken together, these requirements show that digital agility will be evaluated at the institutional level, not the course level — which significantly changes how institutions must respond.
A common early reaction among institutions has been to consider launching a standalone AI course or technology elective. While such courses may be valuable, they aren’t sufficient to demonstrate compliance with the revised accreditation framework.
Why a Single AI Course Falls Short
A standalone AI course reflects elective-level exposure, not program-level competency development. Under Standard 4.3, reviewers expect demonstrable evidence that learners develop digital agility competencies across required coursework and throughout their educational journey.
An isolated elective does not ensure:
- Program-level alignment of AI literacy competencies.
- Consistent exposure across all students.
- Measurable integration into Assurance of Learning frameworks.
- Documented assessment tied to program learning goals.
- Evidence of continuous improvement based on assessment results.
Institutions must produce defensible documentation showing that digital agility is systematically embedded, assessed, and improved at scale.
From Course Offering to Institutional Capability
The revised standards shift the evaluation question from “Do we offer AI?” to “Can the institution demonstrate measurable AI literacy development across programs?”
AACSB requires assessment aligned with defined learning goals and supported by direct and indirect measures. A single course may generate valuable student work, but unless those outcomes are embedded into program-level learning goals and reflected in structured assessment reporting, they remain isolated artifacts.
Standard 4.3 requires institutions to demonstrate that:
- Digital agility competencies are articulated at the program level.
- Students engage with emerging technologies across required courses.
- Human judgment and ethical reasoning remain central when using AI tools.
- Curriculum evolves in response to technological change.
- Evidence of learning is documented within formal Assurance of Learning processes.
The Role of Assurance of Learning and Table 5-1
Documentation requirements under Assurance of Learning are expected to become more operationally significant. Table 5-1 introduces a standardized framework for presenting learning outcomes and assessment evidence.
Under the revised framework, digital agility must be operationalized through measurable learning outcomes and documented assessment results. Table 5-1 becomes the primary vehicle for presenting that evidence.
Table 5-1 requires institutions to document:
- Clearly defined learning goals.
- Direct assessment methods.
- Performance benchmarks.
- Measured results.
- Improvement actions taken in response.
If AI literacy appears only within a single elective, it becomes difficult to demonstrate consistent, program-wide performance targets or comparable assessment data across cohorts.
For example, if only a subset of students enroll in an AI elective, the institution cannot credibly assert that all graduates demonstrate digital agility competencies. Reviewers will look for alignment between required coursework and program-level learning goals.
Digital Agility as a Cross-Curricular Competency
Standard 4.3 positions digital agility as a professional capability integrated into business decision-making. That means AI literacy must appear in contexts such as:
- Data analytics courses where students evaluate automated outputs.
- Strategy courses where learners assess AI-informed recommendations.
- Ethics modules addressing bias and algorithmic accountability.
- Capstone experiences requiring AI-supported analysis.
Integration across these areas demonstrates that digital agility is part of the institutional learning architecture rather than an optional enrichment.
Faculty Readiness and Governance Implications
When AI literacy resides within one course, it often depends on a single faculty champion. That approach is insufficient under the revised framework. Accreditation review examines institutional systems, including faculty sufficiency and professional development structures. Institutions must demonstrate that multiple faculty members possess the capability to teach and assess digital agility competencies.
Without coordinated faculty development, AI instruction becomes inconsistent and difficult to scale. Reviewers may question whether digital agility is truly institutionalized or reliant on isolated innovation.
Governance processes should therefore reflect:
- Defined digital agility expectations across departments.
- Structured faculty training initiatives.
- Curriculum review mechanisms responsive to technological change.
- Consistent assessment practices across programs.
A Practical Institutional Approach
To meet Standard 4.3 expectations, institutions should implement a coordinated, program-level integration strategy that includes the following actions:
- Define measurable AI literacy competencies aligned with program learning goals.
- Map those competencies across required courses to ensure consistent exposure.
- Develop direct assessment models embedded in core coursework.
- Document performance targets and results within Table 5-1.
- Implement closing-the-loop processes demonstrating curriculum refinement.
- Provide structured faculty development supporting consistent instruction.
Digital Agility Is a Systems Standard
Standard 4.3 represents a shift toward accountability. AACSB reviewers will evaluate whether institutions can produce defensible evidence that graduates consistently develop competencies aligned with emerging technologies.
Digital agility must be embedded across programs, reflected in measurable learning goals, documented in Table 5-1, supported by faculty readiness, and reinforced through continuous improvement systems.
Under the revised framework, AI literacy is not an add-on. It’s an institution-wide accreditation expectation.
Organizations like QuantHub are building end-to-end AI literacy and assessment systems aligned with AACSB Standard 4.3 and Assurance of Learning requirements, helping institutions translate digital agility expectations into structured implementation.
Readers interested in exploring next steps are invited to schedule a readiness consultation to evaluate institutional alignment.
Why Adding One AI Course Won’t Meet AACSB Digital Agility Requirements
Welcome Mark McNeilly to QuantHub's Advisory Board
We are excited to announce that UNC Emeritus Professor Mark McNeilly has joined QuantHub as a consultant.
Mark McNeilly teaches AI entrepreneurship, marketing and organizational behavior at the Kenan-Flagler Business School and is a faculty advisor in UNC’s student consulting program.
We are excited to announce that UNC Emeritus Professor Mark McNeilly has joined QuantHub as a consultant.
Mark McNeilly teaches AI entrepreneurship, marketing and organizational behavior at the Kenan-Flagler Business School and is a faculty advisor in UNC’s student consulting program.
Mark served as Chair of the UNC Provost’s AI Committee, which is responsible for supporting the university in its adoption of artificial intelligence in teaching, research, and operations. One of the key initiatives was building a central AI-focused website that contains the output of the committee, including AI usage guidance, AI usage surveys, a list of UNC AI experts, UNC’s AI Community, and more.
Mark has built an AI strategy and roadmap for UNC and by extension, other universities, which covers teaching, research, and operations. He also presents his views on AI to internal and external organizations. Mark’s Substack newsletter, Mimir’s Well, focuses on AI.
Prior to coming to academia, Mark served as a global marketing executive with IBM and Lenovo. His experience includes branding, strategy, marketing, market intelligence, management, manufacturing, and personnel.
Mark is the author of a popular strategy book based on Sun Tzu’s Art of War, titled Sun Tzu and the Art of Business: Six Strategic Principles for Managers as well as two other books with Oxford University Press. He appeared on a History Channel Special on Sun Tzu’s Art of War and was an expert blogger for Fast Company.
At QuantHub Mark will play three roles:
- Mark will serve as named engagement lead for higher-ed consulting packages, delivering executive kickoffs, policy and governance reviews, live working sessions, and final readouts.
- Mark will participate in webinars and panels, with newsletter partnership integrating Mark’s AI articles.
- Mark will participate in reviews of in-build content and quarterly positioning calibration with product and sales teams.
Welcome to QuantHub, Mark.
UNC AI Leader Mark McNeilly Joins QuantHub as Higher Education AI Strategy Advisor
AI and Data Science CRI (Career Readiness Indicator) courses offered for ALSDE students
In today’s fast-moving digital world, students need more than textbook knowledge to stand out. They need practical, future-ready skills that translate directly into college, careers, and real-world decision making.
QuantHub is a modular learning platform offered free to ALSDE public schools, providing structured pathways in data science, AI foundations, Excel, data analysis, and ACT Math and Science preparation. Rather than passive worksheets, QuantHub modules emphasize interactive learning, real-world scenarios, and intuitive skill building that connect classroom concepts to practical application.
Students consistently describe the experience as “not just problems on a page.” The platform is designed to help learners understand the why behind the data, not just the mechanics. This deeper understanding builds confidence and prepares students for the types of analytical thinking expected in modern college programs and careers.
QuantHub is also ESSA Level III certified, meaning independent research has demonstrated statistically significant gains in student outcomes related to data literacy, AI awareness, and modern technology fluency. Schools can feel confident that students are building skills that truly move the needle.
Why QuantHub Matters for Career Readiness
Completing CRI through QuantHub allows students to accomplish multiple goals at once. As they progress through the pathway, students are:
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Building industry-aligned technical skills
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Strengthening decision-making and analytical thinking
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Earning certifications they can list on resumes
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Preparing for ACT Math and Science success
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Increasing competitiveness for internships and college programs
Instead of treating CRI as a checkbox, QuantHub turns it into a career-building opportunity, and QuantHub is a proven direct pipeline to real opportunities.
One of QuantHub’s most powerful advantages is its connection to the Alabama Data Scholars internship program. This initiative pairs qualified high school juniors, seniors, and undergraduates with paid summer internships at Alabama companies in data analytics, IT, and related fields.
Student performance and certifications within the QuantHub platform play a meaningful role in internship selection. In other words, the work students complete for CRI can directly strengthen their candidacy for real, paid professional experiences.
Real Skills Students Use Everywhere
Students often report that QuantHub changes how they think about data. Many discover that data is not just numbers—it tells a story. Learning to interpret and communicate data helps students make better everyday decisions, approach homework more strategically, and present stronger college applications.
Important Eligibility Note
To use the QuantHub pathway for CRI credit, students must be enrolled in one of the following elective courses:
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CTE Engineering (034)
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Project Lead The Way – Engineering (071)
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Information Technology Support and Services (125)
Students complete the full pathway and associated project within the course to satisfy CRI requirements.
Inside the QuantHub CRI Pathway
The CRI experience guides students through six structured modules that progressively build data literacy, analytical thinking, and communication skills.
| Module | Skills Covered |
|---|---|
| Introduction to Data Literacy | 3 skills |
| Data Visual Literacy | 4 skills |
| Statistical Problem Solving | 6 skills |
| Data Wrangling | 5 skills |
| Exploratory Data Analysis | 10 skills |
| Data Storytelling | 5 skills |
Together, these modules walk students from foundational understanding to advanced insight—culminating in the ability to analyze data and communicate meaningful stories from it.
Preparing Students for the World Ahead
How to Get Started
The workforce students are entering is increasingly shaped by AI, automation, and data-driven decision making. QuantHub helps students build familiarity with these tools early, so they are not encountering them for the first time in college or on the job.
By completing CRI through QuantHub, students graduate with more than a requirement checked off—they leave with practical, résumé-ready evidence of technical capability.
To enroll your classroom in this independent-learning based CRI Opportunity:
Email: support@quanthub.com
Once you have submitted the email, a QuantHub team member will reach out with next steps on setting up an account and enrolling students into the CRI program.
A team member can also guide you on implementing QuantHub in the classroom, so all students in any class can benefit from the platform and skills, outside of CRI.
AI and Data Science CRI Opportunity for ALSDE CTE Students
Higher education is at a pivotal moment. As artificial intelligence rapidly reshapes the workplace, universities are facing increasing pressure to ensure graduates are ready for the job market in 2026.
To explore this challenge, QuantHub recently hosted a collaborative roundtable with Management Information Systems (MIS) professors and students. The goal was simple but urgent: gather real-world insight into how modular learning content can better support modern MIS curricula.
The session was moderated by QuantHub Marketing Director, Kellie Weed, and led by Matthew Fickling, alongside QuantHub Sales Director, Joe DeRario. From the outset, the tone was intentionally collaborative rather than presentation-heavy.
Matthew grounded the discussion by revisiting QuantHub’s mission. Originally built to help employers identify and develop data and AI skills, the platform quickly revealed a deeper truth: the core capabilities industry demands—analytical thinking, problem framing, applied reasoning, and technical literacy—are the same competencies faculty have long prioritized. Today, QuantHub partners with nearly 30 universities to help reinforce these academic foundations while making their career relevance more explicit.
As Matthew noted during the session, “The underlying skills industry is asking for—analytical thinking, applied reasoning, and technical literacy—are the same skills faculty are already teaching. Our goal is to help make that connection clearer and more measurable.”
The underlying skills industry is asking for—analytical thinking, applied reasoning, and technical literacy—are the same skills faculty are already teaching. Our goal is to help make that connection clearer and more measurable.” – Matthew Fickling, QuantHub Team Member
The Pressing Challenge: When Curriculum Can’t Keep Up with AI Shifts
However, one major tension dominated the conversation: the growing “clock speed mismatch” between academia and industry. While businesses are evolving in six- to twelve-month cycles, academic curriculum updates often take three to five years. By the time textbooks are printed, tools and workflows have already shifted. This widening gap is particularly acute in MIS programs, where AI is rapidly transforming traditional IT roles.
Participants widely agreed that AI integration is no longer optional. One professor shared how AI tools like OpenAI, Anthropic, and Perplexity are already embedded into cybersecurity simulations, allowing students to safely explore vulnerabilities that would be unethical or impractical to replicate in live environments. Importantly, their institution requires explicit AI disclosure statements in assignments, reinforcing ethical use alongside technical fluency.
From AI Policing to AI Partnership
“If you don’t embrace it and teach them how to use it ethically, students will find a way anyway. Our job is to guide that use and build critical thinking alongside it.” – George Antoniou, Professor and Cybersecurity and AI Program Coordinator at Lynn University
Ethics and transparency emerged as recurring themes throughout the session. Faculty emphasized that students will use AI regardless of policy, so the responsibility of higher education is to teach how to use it responsibly. As one professor explained, “If you don’t embrace it and teach them how to use it ethically, students will find a way anyway. Our job is to guide that use and build critical thinking alongside it.” Several educators described shifting from restrictive approaches to guided adoption—positioning AI as a learning partner rather than something to police.
A particularly compelling strategy came from a Python instructor who redesigned coursework around this new reality. Projects that once took weeks can now be completed in under an hour with AI assistance. Rather than resisting this shift, the instructor requires students to use AI for complex tasks while separately assessing their independent coding ability in a locked-down environment. This dual-track approach ensures students gain both AI fluency and foundational competence.
Others highlighted AI’s growing role as an academic tutor. Faculty are leveraging tools like NotebookLM to generate study guides, interrogate student understanding, and streamline course preparation. The consensus was clear: when used intentionally, AI can free instructors from repetitive tasks and create more space for higher-value teaching moments.
Why Technical Skills Alone Are No Longer Enough
Beyond technical skills, the group repeatedly returned to what many now call “power skills.” Communication, collaboration, and problem framing were identified as the true differentiators for MIS graduates. As one participant noted, entry-level technical tasks are the easiest to automate, meaning graduates must arrive workforce-ready at a higher level than ever before.
Several professors stressed the importance of teaching students to translate complex technical problems into clear business language. The classic “90-second elevator pitch” exercise was cited as an effective classroom tool, preparing students to secure executive buy-in in real-world settings. The message was consistent: technical knowledge alone is no longer sufficient.
Critical thinking also surfaced as an area of concern. Some educators observed skill erosion among incoming students, potentially accelerated by both pandemic learning disruptions and overreliance on AI tools. Their response has been to design assignments where students must improve upon baseline AI output rather than simply generate it—forcing deeper engagement with the material.
As the discussion moved into emerging MIS trends—agentic AI, retrieval-augmented generation (RAG), and MLOps—the group wrestled with a central pedagogical question: where is the line between using AI as a tool and outsourcing thinking altogether? A student perspective offered valuable clarity: the key is requiring learners to articulate their own logic before turning to automation.
A Collaborative Path Toward AI-Ready Graduates
By the session’s close, one theme stood above the rest: alignment. Universities, edtech providers, and employers must work in tighter feedback loops to keep pace with technological change. QuantHub’s modular learning approach appears well positioned to support this need, offering flexible, measurable skill development that can evolve faster than traditional curriculum cycles.
The roundtable reinforced that MIS education is not being replaced by AI—it is being redefined by it. Programs that successfully blend ethical AI use, strong analytical foundations, and power-skill development will produce graduates who thrive in this new landscape. Those that do not risk falling further behind the accelerating demands of industry.
QuantHub’s continued collaboration with faculty and students signals an encouraging step forward. By listening closely to the classroom and adapting to real-world pressures, the company is helping shape a future where higher education moves at the speed of innovation—without sacrificing the critical thinking and human judgment that remain at the heart of MIS success.
Ready to Integrate AI Skills Into Your Curriculum?
Ready to bring AI and data skills into your classroom?
Book a short conversation with a QuantHub team member to explore how our modular learning platform can support your program goals. Our platform operates as students’ labs or tech assinments, and is billed to students like traditional textbooks.
Want to see how it works? Schedule a 15 minute demo with a QuantHub team member and we’ll give an overview of our simple classroom onboarding process.
Or go at your own pace, and experience our platform through this interactive demo yourself!
Marketing in the Age of AI Demo
It’s that simple–our course library spans in-demand 21st-century skills, including Excel for Business Analytics, Data Literacy and Analysis Tools, AI for Marketing, Prompt Engineering, and more — all designed to integrate seamlessly into existing curriculum.
Information Systems Professors Share Their Perspectives on AI in Business and Tech Programs
AI & Data Literacy is Not Just for Students: Empowering Educators with 21st Century Skills
In today’s classrooms, preparing students for the future means educators must stay ahead of rapidly evolving technology, data, and AI trends.
QuantHub supports that mission through a modular learning platform that is free for ALSDE public schools and designed to strengthen the most in-demand 21st-century skills.
QuantHub offers a wide range of learning pathways targeting critical areas such as Data Science, AI Foundations, Excel, Data Analysis, and ACT-aligned Math and Science preparation. Each module is built with real-world examples, interactive experiences, and intuitive workflows that connect concepts directly to practical application. Many students describe QuantHub as “not just problems on a page,” highlighting the platform’s focus on authentic learning.
The impact is measurable. QuantHub is ESSA III certified, meaning independent research has statistically demonstrated that students who use the platform improve in data science, data literacy, AI awareness, and understanding of modern technology tools.
While student success is central, QuantHub also delivers powerful value for educators. TEAMS teachers can earn asynchronous professional development (PD) credit through targeted learning modules — without leaving their school building. Educators consistently report that QuantHub helps them become more technically confident and better equipped to teach modern skills.
One teacher shared that her goal is to prepare students for the world they are entering — not the one we grew up in — and that QuantHub provided the technical knowledge and confidence to do exactly that. That future-focused mindset is at the heart of QuantHub PD.
“I’m not here to teach them how to survive in my universe,” Gregory said. “I’m here to teach them to survive in their universe, even though we don’t fully know what that’s going to look like just yet.”
–Teresa Gregory, Pell City High School
Why TEAMS Teachers Choose QuantHub for PD Hours
QuantHub PD is designed for real educator schedules. With over 100 hours of TEAMs-approved asynchronous PD available, teachers can complete learning on their own time, at their own pace, without travel or substitute coverage.
Unlike traditional PD that can feel disconnected from classroom reality, QuantHub modules focus on practical, transferable skills teachers can immediately apply. Educators build confidence in AI, data management, analytics, and digital tools that increasingly shape both instruction and the modern workforce.
Another major advantage is visibility into student-ready content. As teachers complete PD modules, they simultaneously preview high-quality classroom resources they can deploy with students — at no cost to their district and with minimal additional planning.
Because QuantHub continues expanding its catalog, teachers can return year after year to earn additional hours and stay current with emerging technologies. This creates a sustainable, long-term professional growth pathway rather than a one-time PD experience.
Flexible Credit Structure
QuantHub PD is built around skill-based modules, meaning teachers do not need to complete an entire pathway to earn hours. Each module carries its own credit value, allowing educators to customize their learning based on interests, subject area, and time availability.
Total Pathways Available: 6
Total Individual Skill Modules: 23
Some pathways are open to all TEAMS teachers, while select AI and Applied Data Science content is designated for Computer Science, Math, or Science educators.
QuantHub Learning Pathways for TEAMS PD Credit
1. Data Citizen Path (7 modules)
|
Skill Module |
Description |
Hours |
|
Data Literacy |
Build foundational understanding of data concepts, types, ethics, and identification. |
4 |
|
Visual Data Literacy |
Learn to interpret charts, recognize visual encoding, and read data visualizations effectively. |
4 |
|
Framing a Data Problem |
Design statistical studies and understand the investigative data process. |
3 |
|
Data Analysis |
Explore distributions, correlation, central tendency, dispersion, and association. |
5 |
|
Exploring Data Tools |
Introduction to SQL, spreadsheets, Python, and AI productivity tools. |
4 |
|
Machine Learning Data Tools |
Understand the machine learning workflow from planning through model sharing. |
4 |
|
Data Storytelling |
Develop and present compelling data narratives and visual stories. |
4 |
2. Data Security Path (1 module)
|
Skill Module |
Description |
Hours |
|
Data Security |
Learn malware awareness, password safety, phishing prevention, and AI cybersecurity practices. |
4 |
3. AI Literacy Path (Sci/CS Only) (1 module)
|
Skill Module |
Description |
Hours |
|
Introduction to AI |
Overview of AI concepts, prompt engineering, productivity tools, workforce readiness, and ethics. |
5 |
4. AI Foundations Path (Sci/CS Only) (1 module)
|
Skill Module |
Description |
Hours |
|
AI Foundations |
Explore AI systems, business applications, generative AI workflows, and ethical considerations. |
2 |
5. Excel for Business Analytics Path (3 modules)
|
Skill Module |
Description |
Hours |
|
Performance Analytics |
Use Excel to format data, calculate statistics, and build charts. |
4 |
|
Applying Excel Workplace Tools |
Apply formulas, references, and functions to analyze datasets. |
4 |
|
Inventory Optimization |
Build pivot tables and advanced logical functions for decision automation. |
3 |
6. Applied Data Science Path (Math/Sci Only) (10 modules)
|
Skill Module |
Description |
Hours |
|
Conducting a Survey and Summarizing Data |
Design surveys, analyze results, and make recommendations. |
5 |
|
Applying Probability |
Calculate and interpret probabilities using combined datasets. |
5 |
|
Mean as Equal/Fair Share |
Analyze center and spread and evaluate study limitations. |
5 |
|
Inference about Association |
Use sampling and proportions to evaluate relationships. |
5 |
|
Measuring Strength of Association |
Analyze relationships, handle outliers, and communicate findings. |
5 |
|
Comparing a Quantitative Variable Across Groups |
Use quantiles and box plots to compare distributions. |
5 |
|
Linear Regression |
Design regression models and make predictions. |
5 |
|
Predicting a Categorical Variable |
Build classification rules and apply sequential highlighting. |
5 |
|
Time Series |
Analyze time-based data and build temporal narratives. |
5 |
|
A Cluster Analysis Example |
Evaluate clustering models and determine priority segments. |
5 |
What TEAMS Teachers Gain from QuantHub PD
TEAMS teachers are already balancing rigorous instruction, technology integration, and college- and career-ready expectations. QuantHub TEAMS PD turns required growth into practical, skill-building progress through flexible, asynchronous modules teachers can complete on their own schedule.
Unlike generic PD, QuantHub focuses on real classroom impact and modern workforce skills. Through targeted courses like Data Literacy, Data Storytelling, Data Security, Excel for Analytics, and AI Literacy/Foundations (eligible subjects), teachers build confidence using the same tools and concepts shaping today’s careers.
With QuantHub TEAMS PD, teachers can:
- Build future-ready AI and data skills aligned to modern classrooms
- Become more technically confident with tools like Excel, SQL concepts, and AI platforms
- Use AI responsibly to streamline lesson planning, generate instructional ideas, and differentiate materials
- Reduce workload by using AI to assist with grading support, rubrics, and feedback drafts
- Strengthen data-informed instruction to better support student outcomes
- Preview high-quality content they can deploy with students at no cost to the district
- Earn flexible PD hours without leaving the school building
Most importantly, QuantHub helps TEAMS teachers prepare students for the world they are entering — while giving educators practical tools that make day-to-day teaching more efficient, informed, and future-focused.
How to Get Started
TEAMS teachers can begin earning PD credit by simply creating an account creation form:
OR
Emailing support@quanthub.com for additional questions or assistance
Once you have submitted the form, a QuantHub team member will reach out with login credentials and instructions on how to complete the PD. A team member can also guide you on implementing QuantHub in the classroom, so your students can benefit from the learning platform too!
For an overview of the available learning modules, download the Professional Development Catalogue:
https://www.dropbox.com/scl/fi/osx0hz0t6ds0d7enpibd7/Professional-Dev-Spring-Registration-1-2.pdf?rlkey=r5ne7lh6dl9a7d3zsn2eddqgr&st=3gjds8o2&dl=0
Future-Ready Teaching Starts Here
QuantHub PD helps TEAMS educators build the confidence, technical fluency, and data awareness needed for modern classrooms. By strengthening skills in AI, analytics, and digital tools, teachers are better equipped to guide students toward college, careers, and an increasingly data-driven world.
If you’re looking for flexible, relevant, and forward-thinking professional development, QuantHub is ready to support your next step.
Earn TEAMS PD Credit Hours with QuantHub’s Future-Ready AI & Data Modules
AI & Data Literacy is Not Just for Students: Empowering Educators with 21st Century Skills
In today’s schools, data isn’t optional — it’s essential.
School leaders are expected to analyze ACT and ACAP performance, identify trends, close achievement gaps, and implement improvement initiatives — all while leading faculty, supporting students, and planning strategically for the future.
QuantHub was built to support that work.
As a modular learning platform free to ALSDE public schools, QuantHub offers interactive, real-world learning pathways that strengthen critical skills in:
- Data Science
- AI Foundations
- Excel & Data Analysis
- ACT-Aligned Math & Science preparation
- Data Literacy and more
Our learning modules are known for their real-world application and intuitive design. Students consistently describe QuantHub as “not just problems on a page.” Instead, lessons are delivered through contextualized scenarios, simulations, and practical applications that connect skills directly to modern workplace expectations.
QuantHub is also ESSA III Certified, meaning independent research studies have statistically proven that students using the platform demonstrate measurable improvement in data science, data literacy, AI understanding, and awareness of modern technology tools.
But the impact doesn’t stop with students.
Professional Learning Opportunities for Administrators
QuantHub also offers structured opportunities for administrators to earn PLU (Professional Learning Unit) credit through two specialized learning pathways designed specifically for school leaders. Either pathway can be selected based on personal development goals or your school’s priorities.
Our PLU curriculum equips administrators to confidently analyze and leverage their own school’s ACT or ACAP data to drive measurable improvement.
Instead of abstract theory, these pathways guide you through structured analysis of real school data — with support and clear deliverables that qualify for PLU credit.
Pathway 1: Foundations of Data Literacy
12 Hours of PLU Credit (Customizable for ACAP or ACT)
This pathway builds essential data competencies for educational leaders through three core focus areas: Data literacy and analysis, Data-driven decision making, and Communication and collaboration.
What You’ll Complete:
- 3 Levels of learning in the QuantHub platform
- One case study using your school’s data
- A capstone project
Capstone Focus:
Work directly with your school’s ACT or ACAP data to:
- Analyze patterns
- Create visualizations
- Identify achievement gaps
- Develop actionable improvement strategies
This pathway is ideal for administrators seeking a strong foundation in data analysis and school-based decision making.
Pathway 2: Advancing Data Analysis for School Improvement
20 Hours of PLU Credit (Customizable for ACAP or ACT)
This advanced pathway deepens expertise in: Data literacy, Data-driven leadership, Data management & security, Data wrangling, SQL fundamentals, Exploratory data analysis, and Data ethics.
What You’ll Complete:
- 4 Levels of learning in the QuantHub platform
- Two case studies using school data
- A comprehensive capstone project
Capstone Focus:
Analyze multiple school measures — including attendance, discipline, and academic performance — to drive strategic improvement initiatives.
This pathway is ideal for administrators who want to take a more advanced, systems-level approach to school improvement through data.
Example Topics Covered
Beyond the individual topics, administrators gain hands-on experience translating raw school data into meaningful insights. These pathways move leaders beyond simply reviewing reports and into actively interpreting trends, identifying root causes, and making informed, strategic decisions.
ACAP/ACT Data Visualization Analyzing and Formatting Datasets Managing Your ACT/ACAP Data Calculating Descriptive Statistics
Participants learn how to confidently navigate datasets, organize information for clarity, and communicate findings to teachers, staff, and stakeholders in ways that drive alignment and action. The result is not just better reporting — but better leadership.
Through structured case studies and real-world application, administrators strengthen their ability to:
- Identify patterns impacting student outcomes
- Make proactive, data-informed decisions
- Align instructional priorities with measurable goals
- Communicate insights clearly across teams
The technical and analytical skills developed through QuantHub are transferable beyond school data. They enhance everyday decision-making, improve comfort with technology systems, and build confidence in working with modern tools that increasingly shape education and industry.
Why Choose QuantHub for Your PLU?
Administrators are already expected to analyze ACT and ACAP data, set improvement goals, and lead strategic planning efforts. QuantHub adds structure, support, and meaningful credentialing to that work — turning required tasks into guided professional growth.
Unlike generic professional development programs, QuantHub’s PLU pathways:
- Use your school’s real data
- Provide structured analysis guidance
- Strengthen practical technical skills
- Deliver applicable, actionable outcomes
- Award professional credit for meaningful work
More importantly, QuantHub helps administrators prepare students for the world they are entering — not the one we grew up in. When administrators build confidence in data literacy and AI awareness, that mindset influences the entire school culture.
QuantHub equips leaders to:
- Become more technically adept and confident in modern tools
- Strengthen their ability to interpret and apply data insights
- Use AI responsibly to streamline administrative tasks
- Explore ways AI can support lesson planning, differentiation, and workload management
- Lead conversations around ethical and effective technology integration
Understanding AI and data doesn’t just benefit students — it can soften the load of leadership. Administrators gain exposure to modern AI concepts and practical applications that can assist with organization, communication, planning, and instructional alignment.
“I’m not here to teach them how to survive in my universe,” Gregory said. “I’m here to teach them to survive in their universe, even though we don’t fully know what that’s going to look like just yet.”
–Teresa Gregory, Pell City High School
Teachers who have engaged with QuantHub consistently report feeling more confident teaching 21st century skills and incorporating technology into instruction. Administrators who complete the PLU pathways gain that same confidence at the leadership level — empowering them to guide faculty toward future-focused practices.
Ultimately, QuantHub’s PLU pathways help administrators:
- Lead with clarity
- Make decisions with confidence
- Support teachers more effectively
- Prepare students for college and modern careers
- Build a school culture aligned with the future of work
In a world increasingly shaped by data and AI, leadership literacy in these areas is no longer optional — it is essential.
Important PLU Details
- Administrators may complete one pathway (due to content overlap).
- All submission requirements are clearly outlined in your onboarding email.
- Final work is uploaded for review to qualify for credit.
12-Hour Pathway Requirements:
- Complete 3 learning levels
- One case study
- Capstone project
20-Hour Pathway Requirements:
- Complete 4 learning levels
- Two case studies
- Capstone project
How to Sign Up
To enroll in a PLU pathway:
📧 Email: support@quanthub.com
or
📝 Complete the Interest Form
You can also download our Admin PLU flyer here:
https://www.dropbox.com/scl/fi/inyt6sai9agncquuniglm/PLU-ADMIN-FLYER.pdf?
Leading with Data. Improving with Confidence.
Modern school leadership requires modern skills.
QuantHub empowers administrators to move beyond surface-level data review and toward informed, strategic decision-making rooted in real analysis. If you’re already working to improve ACT and ACAP outcomes, why not earn PLU credit while doing it?
We look forward to supporting your leadership journey.