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Get Custom Training

for Higher Education Teams

Deliver personalized learning
Deliver personalized
learning
Close skill gaps
Close skill gaps
Establish cost-effective training operations
Establish cost-effective
training operations
Elevate your Higher Education team with quality custom training content.
Here's What Our Clients Say
Examples of custom elearning solutions
for the Higher Education industry
Microlearning Modules
Microlearning Modules

Bite-sized lessons that deliver focused knowledge quickly and efficiently.

Example:

A brief module for front‑line staff and student workers covers how to conduct conversations at the desk while adhering to privacy laws such as FERPA. It uses scenarios to illustrate what to say and what to avoid, along with quick identity checks and redirect scripts. The module launches from the customer relationship management system and ends with a three‑question quiz.

Engaging Scenarios
Engaging Scenarios

Interactive stories that let learners practice decision-making in realistic contexts.

Example:

An interactive scenario for financial aid counsellors guides them through handling a financial aid appeal. Participants make decisions about required documentation, tone and timeline. The scenario shows the effect of each choice on queue length and compliance flags and generates a follow‑up email template.

Tests and Assessments
Tests and Assessments

Quizzes and evaluations that measure understanding and track progress.

Example:

A test for admissions and financial aid staff uses images and document snippets to evaluate recognition of acceptable identification documents, date stamps and scan quality. Questions are randomised to maintain fairness, and immediate feedback references policy sections.

Personalized Learning Paths
Personalized Learning Paths

Customized content sequences tailored to each learner’s goals and needs.

Example:

A 30‑day learning path for new advisors combines lessons on navigating the student information system, understanding degree requirements, recorded mock advising sessions and equity‑focused advising micro‑lessons. Tasks unlock based on quizzes and supervisor reviews.

Performance Support Chatbots
Performance Support Chatbots

On-demand digital assistants that provide just-in-time answers and guidance.

Example:

A performance support chatbot answers questions about service codes, escalation rules, registration exceptions and student privacy guidelines. It provides scripts and forms with links to official sources.

Online Role-Plays
Online Role-Plays

Simulated conversations or interactions that help learners build real-world skills.

Example:

An online role‑play tool allows advisors to practise challenging advising conversations, such as discussing schedule overloads, probation warnings and transfer decisions. Reactive avatars simulate students, and the system provides time‑stamped coaching for second attempts.

Compliance Training
Compliance Training

Structured programs that ensure employees meet regulatory and organizational standards.

Example:

A compliance training module explains Title IX reporting duties for faculty and staff in clear language. It outlines campus‑specific reporting procedures and requires participants to sign an electronic attestation, which is saved to HR or legal records.

Situational Simulations
Situational Simulations

Immersive activities that replicate real-life challenges in a risk-free environment.

Example:

A simulation for IT, registrar and advising teams prepares them for a registration system outage. Participants make time‑sensitive decisions about workarounds and communication strategies while monitoring backlog, call volume and student impact.

Upskilling Modules
Upskilling Modules

Targeted courses designed to expand knowledge and build new competencies.

Example:

An upskilling module for advisors and records staff provides short demonstrations on running audit reports, correcting coding errors and using reconciliation checklists. It includes a downloadable template to help maintain data quality.

Problem-Solving Activities
Problem-Solving Activities

Exercises that strengthen critical thinking and practical problem-solving skills.

Example:

A collaborative activity tasks teams with analysing the backlog of walk‑in requests and identifying causes such as missing documents or incorrect codes. Teams redesign intake prompts and routing rules based on their findings and submit a 30‑day improvement plan.

Collaborative Experiences
Collaborative Experiences

Group learning opportunities that encourage teamwork and knowledge sharing.

Example:

A collaborative session brings together admissions, advising, housing and IT staff to coordinate orientation sessions, resolve enrolment holds and prepare welcome communications using a shared planning board. The outcome is exported to a master checklist.

Games & Gamified Experiences
Games & Gamified Experiences

Play-based learning methods that motivate through competition, rewards, and fun.

Example:

A quick daily game challenges customer service representatives to match common student requests with the correct service codes and policies. Scores are tracked on a leaderboard that resets monthly, encouraging repeated practice without long‑term perks.

Let's discuss which custom solution can take your team to the next level.
Discover an easy way to ensure…

1

Skill Growth

Custom training builds real-world competencies step by step, giving learners the confidence and ability to perform effectively.

2

Employee Engagement

As learners see their skills improving, they become more invested and motivated, deepening participation in the training process.

3

Organizational Readiness

This combination of stronger skills and higher engagement ensures the workforce is prepared, compliant, and aligned with organizational goals.

Typical Outcomes Seen by Organizations
in the Higher Education Industry

40%

40%
Less Time Spent on Training

Online learning requires less than half of the time that would be needed for in-person training.

70%

70%
Efficient Experience-Based Learning

Up to 70% of adult learning occurs through hands-on experiences. Online task simulators allow practicing and making mistakes in safe environments.

94%

94%
Higher Learner Satisfaction

94% of adult learners prefer to study at their own pace and on their own schedule.

Using AI to improve training outcomes
in Higher Education
AI-Powered Chatbots and Virtual Coaching

These are conversational agents (often built on advanced language models) that can interact with employees in natural language – answering questions, providing feedback, and even coaching in a human-like manner. L&D decision-makers are increasingly adopting these tools to offer on-demand assistance and personalized guidance.

robot
24/7 Learning Assistants

AI chatbots serve as always-available tutors or helpdesk agents for learners. Employees can ask a training chatbot to clarify a concept, provide an example, or troubleshoot a problem at any time. Many companies have integrated such bots into their learning platforms or collaboration apps. According to industry research, virtual assistants and chatbots are now being deployed to handle routine learner queries and provide instant feedback on quizzes or exercises. This immediate support keeps learners from getting stuck and enables more self-directed learning. It also reduces the burden on human instructors or IT support for common questions.

Example:

A virtual assistant operates round the clock to answer staff questions about intake processes, routing and privacy regulations. It provides concise responses with links to official sources, and sensitive information is restricted based on the user’s role.

Example Solution 24 7 Learning Assistants illustration
Feedback and Coaching

Beyond Q&A, AI coaches can give real-time feedback on performance. Modern AI tutors use natural language understanding to evaluate free-form responses and deliver personalized coaching, just like a digital mentor. L&D leaders find these applications instrumental in achieving training goals; surveys show high ROI of using AI chatbots to offer real-time feedback and guidance during learning.

Example:

An AI coaching tool analyses recordings of calls or desk interactions, highlighting where empathy could be expressed better and identifying jargon usage. It creates a coaching card with time‑stamped examples for the supervisor and learner.

Example Solution Feedback And Coaching illustration
Scenario Practice and Role-Play

A cutting-edge use case of AI chatbots is powering immersive role-play simulations. AI characters can simulate realistic dialogues with learners. Users can practice a coaching conversation with an AI-driven avatar that responds dynamically. Many organizations have already implemented this type of learning interaction, enabling learners to practice difficult conversations in a safe, simulated environment and receive instant constructive feedback. The AI can adapt its responses based on what the learner says, creating a tailored scenario and coaching the learner on their choices. This moves training beyond scripted e-learning into interactive learning-by-doing.

Example:

A scenario practice tool prepares staff for town hall meetings by simulating challenging questions from students and parents. The coach’s notes compare responses against campus guidelines and offer suggestions for improvement.

Example Solution Scenario Practice And Role Play illustration
Let's discuss how AI-powered chatbots and virtual
coaching can help you improve training outcomes.
Automated Assessments and Intelligent Feedback

AI is transforming how companies assess learning and evaluate competencies. Traditional training assessments (quizzes, tests, assignments, etc.) can be labor-intensive to create and grade, and they often provide limited feedback to learners. AI is changing this by enabling more automated, intelligent assessment methods.

Automated Assessments and Intelligent Feedback
Auto-Generated Quizzes and Exams

Using generative AI, L&D teams can automatically create pools of quiz questions, knowledge checks, or even complex case-study exams. Given a training document or video, an AI tool can generate relevant questions to test comprehension. This not only speeds up assessment development but can also produce a wider variety of test items (reducing over-reliance on a few repeat questions). By automating quiz generation, trainers ensure assessments are always fresh and stay aligned with up-to-date content and learning goals.

Example:

When policies are updated, the system automatically creates new quiz items—including image‑based, sequence and scenario questions—for subject‑matter experts to approve before assigning them by role and department.

Example Solution Auto Generated Quizzes And Exams illustration
Automated Grading and Evaluation

Your AI-powered training tool can grade many types of learner responses automatically, far beyond simple multiple-choice scoring. Natural language processing models are capable of evaluating open-ended text responses, short essays, or even code snippets by comparing against expected answers or rubrics. This is particularly useful for large companies that need to assess thousands of learners efficiently and do it in a way that offers personalized feedback and recommendations.

Example:

An automated grading tool evaluates written case notes and recorded role‑play sessions to check for verification, disclosure and de‑escalation steps. It provides consistent feedback at scale across teams.

Example Solution Automated Grading And Evaluation illustration
AI-Assisted Feedback and Coaching

Beyond Q&A, AI coaches can give real-time feedback on performance. Modern AI tutors use natural language understanding to evaluate free-form responses and deliver personalized coaching, just like a digital mentor. L&D leaders find these applications instrumental in achieving training goals; surveys show high ROI of using AI chatbots to offer real-time feedback and guidance during learning.

Example:

An AI assistant reviews recorded help sessions to identify exposure of personal information and confusing navigation steps. It generates time‑stamped recommendations that feed into a coaching plan.

Example Solution Ai Assisted Feedback And Coaching illustration
Fairness and Consistency

AI-based assessment can also improve consistency in scoring and reduce human bias in evaluations. Every learner is judged by the same criteria, and AI models (when properly trained and tested) apply the rubric objectively. And, of course, there's always an option to validate AI-produced scores with periodic human review, especially for high-stakes evaluations, to maintain trust and accuracy.

Example:

AI‑assisted scoring tools calibrate certification assessments across campuses. Supervisors sample graded artefacts to ensure quality and consistency.

Example Solution Fairness And Consistency illustration
Let's discuss how you can benefit from AI-driven
assessments and intelligent feedback.
Predictive Analytics for Training Impact and ROI

Linking training efforts to business outcomes has long been a challenge for L&D. Today, AI-driven learning analytics are giving organizations new powers to measure and even predict the impact of training on performance metrics. By analyzing large datasets of learning activities and outcomes, AI can uncover patterns that help prove ROI and improve decision-making.

Predictive Analytics for Training Impact and ROI
Advanced Learning Analytics

Traditional training metrics (completion rates, test scores, satisfaction surveys) only tell part of the story. AI allows far deeper analysis by correlating learning data with business data. Organizations are deploying predictive analytics that ingest data from Learning Management Systems, HR systems, and operational KPIs to evaluate how training moves the needle on business goals.

Example:

Advanced analytics link training data to operational metrics such as queue ageing, transfers, first‑contact resolution, registration errors and student satisfaction to highlight the modules with the greatest impact.

Example Solution Advanced Learning Analytics illustration
Predicting Training Needs and Outcomes

AI can not only look backward but also predict future training needs and outcomes. AI-driven analytics can even predict which employees might benefit most from certain training, or who might be at risk of low performance without intervention. This predictive capability helps L&D teams prioritize and tailor their initiatives for maximum impact.

Example:

Predictive models analyse errors and training scores to flag teams that may need additional training before busy periods such as admissions or registration. The system assigns targeted refresher modules accordingly.

Example Solution Predicting Training Needs And Outcomes illustration
Real-Time Dashboards and Reporting

Modern L&D analytics platforms infused with AI provide real-time dashboards that track training effectiveness. These might include sentiment analysis of learner feedback comments, anomaly detection (e.g., identifying if a particular course consistently yields poor post-test results, indicating content issues), and even natural language generation to summarize insights for L&D managers. The goal is to move beyond basic reporting to actionable intelligence.

Example:

Real‑time dashboards display service readiness by showing completions, failed checks and plain‑language insights for deans and directors.

Example Solution Real Time Dashboards And Reporting illustration
Demonstrating ROI

AI-powered analytics capabilities feed into the bigger mandate of proving the value of training. AI helps by directly linking learning metrics to performance metrics. Companies can now estimate the dollar impact of closing a skill gap or predict how improving a certain skill through training will affect key business outcomes. This elevates L&D’s credibility in the eyes of executives.

Example:

Executive reports quantify improvements such as reduced backlogs, better first‑contact resolution, fewer errors and faster onboarding to support budget requests for training initiatives.

Example Solution Demonstrating Roi illustration
Let's discuss how predictive analytics
can drive your business outcomes.
Industry Fit Without Industry Friction
Admissions & Enrollment
  • Standardize tours, interviews, and document intake.
  • Lower rework with image-based ID checks.
  • Track cycle time and CSAT in dashboards.
Registrar & Records
  • Reduce coding errors via data-quality modules.
  • Align processes with assistants in chat.
  • Link training to exception rates.
Academic Advising
  • Practice equity-minded conversations via role-plays.
  • Shorten visit length with KB and policy bots.
  • Correlate training to satisfaction and resolution.
Financial Aid
  • Improve appeal handling with scenario practice.
  • Reduce escalations via clear scripts in chat.
  • Track backlog and error reductions.
Bursar & Student Accounts
  • Lower counter escalations with de-escalation drills.
  • Improve disclosures using role-plays.
  • Link training to payment plan uptake.
IT Help Desk & Classroom Tech
  • Standardize AV checks with micro-demos.
  • Shorten time-to-fix via assistants.
  • Correlate training to FCR and ticket themes.
Housing & Residence Life
  • Train RAs on incident reporting with role-plays.
  • Unify desk operations via micro-lessons.
  • Track incident trends and response times.
Campus Safety & Parking
  • Standardize dispatch scripts and routing.
  • Practice event traffic scenarios in sims.
  • Show impact in response and citation metrics.
Libraries & Learning Commons
  • Unify desk triage and referrals with chatbots.
  • Reduce policy conflicts via role-plays.
  • Correlate training to satisfaction and dwell time.
Study Abroad & International
  • Standardize risk briefings with micro-modules.
  • Practice parent/student calls with avatars.
  • Track cycle times and exception trends.
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