Juji, Inc.

CLEAR: A Framework to Guide College Staff and AI Chatbots to Support Student Mental Health Student mental health is a growing concern for colleges and universities, significantly impacting student success and retention. According to a 2023 Student Voice survey, nearly half of college students believe faculty and advisers have a responsibility to help address their mental health struggles. Yet, many institutions are not fully equipped to provide the necessary support, leaving staff feeling overwhelmed. To address this challenge, InsideTrack, in collaboration with Corporation for a Skilled Workforce (CSW), introduced the CLEAR framework—a trauma-informed approach designed to guide staff in supporting student mental health. CLEAR, which stands for Confirm, Legitimize, Evaluate, and Respond, encourages empathy and understanding before diving into problem-solving, helping staff better engage with students in distress. https://lnkd.in/gv-rQiDC Key elements of the CLEAR framework include: • Confirm: Acknowledge the student’s feelings • Legitimize: Validate their emotions • Evaluate: Gain a full understanding of their situation • Respond: Provide support and actionable next steps While the CLEAR framework is an invaluable tool for human staff, it can also be used to guide the creation of AI agents, allowing them to work alongside human staff to provide more scalable and comprehensive mental health support. Cognitive AI chatbots, like those built with #JujiStudio, are equipped with active listening capabilities, emotional intelligence, and the ability to dynamically adapt to context—making them the ideal tool for implementing the CLEAR framework. Here’s how: • Guide Conversations Effectively Cognitive AI chatbots can use the CLEAR framework as expert guidelines to structure conversations, mirroring human interactions. They confirm concerns, legitimize feelings, evaluate situations, and respond with empathy, making the exchange more supportive and meaningful (see Image 1). • Generate Personalized, Context-Sensitive Responses These chatbots can tailor responses based on the specific context and emotional state of a student. They provide customized advice and escalate complex cases to human staff when necessary, ensuring students receive the right level of support (see Image 2). • Complement Human Staff AI chatbots don’t replace human staff but enhance their capacity by managing routine mental health check-ins and offering real-time support. They can also share insights and flags based on ongoing conversations, ensuring staff stay informed and proactive. By integrating the CLEAR framework into AI chatbot interactions, institutions can align their digital tools with trauma-informed care principles, delivering both compassionate and scalable mental health support. #StudentSuccess #MentalHealth #HigherEd #AIChatbots #TraumaInformedCare #EdTech #CLEARFramework

The Impact of Embedded Tutoring: Scaling Success with AI Tutoring Chatbots Ashley Mowreader from Inside Higher Ed reported that a recent pilot program at Sam Houston State University (SHSU) has shown the powerful impact of embedded tutoring in improving student success, particularly in gateway courses with historically high failure rates. By embedding tutors directly into these courses, SHSU saw an increase in student engagement with tutoring services and a marked decrease in failure rates. https://lnkd.in/ei-Hyv7R This success highlights the significant value of embedding tutors directly into the learning process. However, scaling this model across more courses presents a challenge. That’s where AI come in—offering AI tutors to elevate embedded tutoring to a new level of impact and scalability. Here's how: 1. Offer 24/7 Support: Unlike human tutors who have limited availability, AI chatbots can provide students with continuous support, answering questions at any time of day. 2. Answer Repetitive Questions: AI tutoring chatbots can handle repetitive queries from students, such as clarification on assignment instructions or deadlines, allowing human tutors and professors to focus on more complex issues. 3. Teach Students Theories and Skills: AI tutoring chatbots can dynamically adapt the same course materials to different students based on the students' background, interest, and situation. Using the examples, analogies, or stories that students can best relate to, it improves students' learning interests and outcomes. 4. Track Student Progress Automatically: AI tutoring chatbots can monitor each student’s progress in real time, helping tutors and faculty identify struggling students early and intervene with targeted support. 5. Provide Analytic Insights: With built-in analytics, AI chatbots can offer insights into student performance, highlighting areas where students commonly struggle. This data can be shared with professors, allowing for better-informed decisions in course redesign and personalized intervention strategies. By embedding AI chatbots as virtual tutors, educational institutions can extend the benefits of embedded tutoring, ensuring students receive timely, personalized support while also empowering faculty with deeper insights into student learning challenges. The future of student success may very well lie in a hybrid model where human tutors and AI tutors work together to provide the best of both worlds—high-touch, personalized learning at scale. #EdTech #AIChatbots #StudentSuccess #HigherEd #EmbeddedTutoring #AcademicSupport #InnovationInEducation #AI

Software with a Soul: Scaling Humanity’s Good Traits with Cognitive AI Chatbots In her recent blog, Anna Piñol introduces the concept of Software with a Soul (SwaS), highlighting AI's evolving ability to replicate human traits like empathy, intuition, and creativity. Unlike traditional automation, SwaS focuses on scaling "humanness," allowing AI to engage users on a deeper emotional level. https://lnkd.in/ecQkNVJx Cognitive AI agents, powered with advanced human soft skills, such as interactional intelligence and personal intelligence, like those supported by Juji, are leading this evolution, augmenting high-touch, high-stakes services across industries such as healthcare, education, and talent development. These AI-driven systems are transforming human interactions, offering 24/7 availability and personalized guidance and support based on individuals' situations and personality, where human resources may be limited. Here are several use cases where cognitive AI agents are making an impact: 1. Healthcare Cognitive AI agents can serve as patient care support assistants, engaging with patients 24/7, providing personalized, step-by-step care instructions, eliciting patient information, and offering care support (see images 1-3 for examples). Such AI agents are especially useful for helping clinicians and patients manage chronic conditions, such as mental health, diabetes, heart conditions, and more. In this process, not only can such AI agents reduce administrative burdens and provider stresses, but they can also gather critical patient insights to inform treatment progress, improve patient-clinician relationships, and enhance care outcomes. 2. Education and Professional Development Cognitive AI agents can serve as learning or career development assistants. With the advanced cognitive skills, they can automatically infer each individual's career interests, strengths, and weaknesses, guide learners through academic or skills planning, track progress, and offer personalized learning lessons (see examples in images 4-9). For example, cognitive AI agents can dynamically adapt learning materials to each student based on their background and situation, which is not possible without AI. By simulating real-world scenarios, they provide learners with a risk-free space to practice the skills learned, offering immediate feedback to improve performance and build confidence. Whether in healthcare or education, cognitive AI agents offer human-like services without the constraints of time or capacity. Their potential to deliver personalized support at scale is transforming industries and enhancing human services Check out our previous posts (links in the comments) for more details! #AI #Healthcare #Education #TrainingAndDevelopment #CognitiveAI #HumanCenteredAI #SoftwareWithASoul #SoftSkills #EdTech

Tackling the Pitfalls of Conversational Agents as Virtual Health Carers for Remote Management of Chronic Diseases Researchers Sadia Azmin Anisha, Arkendu Sen-MBBS,MD,DipOpthal,GradCertHE,SnrFellowHEA,PhD, and Christopher Bain from Monash University evaluated AI-powered conversational agents (CAs) as virtual health carers for the remote management of chronic diseases in a recent literature review. The study found that while CAs are increasingly being used for promoting lifestyle modifications and patient education, there are significant gaps in their ability to provide personalized, empathetic, and contextually aware care, limiting their effectiveness in supporting patient self-management of chronic diseases. https://lnkd.in/eVZmiGdR Here we highlight 3 key challenges identified in current CAs for chronic disease management and how Juji Studio's features can help overcome them: 1. Insufficient Knowledge Base o The Challenge: Limited by the training data, many existing commercial CAs lack the medical-specific knowledge to provide appropriate lifestyle advice and health recommendations. o Juji’s Solution: Juji Studio’s #NOCODE interface allows easy customization of a CA's knowledge base with content from websites, documents, or human-curated Q&As (Image 1). With Juji’s use of generative AI, conversation flows and responses can be automatically generated in context based on expert guidelines (Image 2), significantly reducing the manual effort needed to build CAs for specialized health applications. 2. Adaptability and Personalization o The Challenge: In the past many CAs are rule-based or scripted, limiting their ability to recognize and adapt to users' unique personality traits, which is critical for persuading users to adopt healthier behaviors. o Juji’s Solution: Juji automatically equips its CAs with the ability to infer psychographic traits during user interactions. This allows Juji CAs to dynamically adapt their responses, delivering a more personalized experience that can more effectively encourage behavior change (Image 3). 3. Empathy and Soft Skills o The Challenge: Current CAs often lack the ability to communicate naturally with empathy and emotion, which can frustrate users, especially when emotional support is crucial. o Juji’s Solution: Juji provides built-in emotional recognition and dialog management that enable CAs to understand user emotions and respond empathetically. Juji also leverages the context of current and past conversations to generate context-sensitive, emotionally intelligent responses, making the interaction feel more natural and supportive (Image 4). By addressing the gaps in knowledge, adaptability, and empathy, Juji's conversational AI platform offers a scalable solution for improving patient care in the remote management of chronic diseases. #AI #Healthcare #ConversationalAI #ChronicDiseaseManagement #Juji #VirtualHealthCarers #PatientSelfManagement #AIChatbots #ConversationalAgents

AI Chatbots as a Tool for Promoting Health Behavioral Change A recent systematic review published in the Journal of Medical Internet Research by Abhishek Aggarwal, Cheuk Chi Tam, Dezhi Wu, Xiaoming Li, Shan Qiao from University of South Carolina showcases the promising potential of AI chatbots in promoting health behavior change. These chatbots, leveraging AI, offer personalized, engaging, and on-demand health promotion interventions. https://lnkd.in/eR7yvAZU The review analyzed 15 studies evaluating the feasibility and efficacy of AI chatbots for behavioral change. AI chatbots were shown to be effective in the following scenarios: • Promoting healthier lifestyles (40% of the studies) • Supporting smoking cessation (27%) • Improving medication adherence (13%) • Reducing substance misuse (7%) The AI chatbots used in the studies employed a range of behavior change strategies, including goal setting, progress monitoring, real-time feedback, and on-demand support. These strategies were grounded in well-established behavioral change models and developed with expert consultation to ensure their effectiveness. The real-time collection of user interaction data—such as preferences and behavioral performance—enabled the chatbots to deliver personalized interventions tailored to each individual's unique needs. This personalization not only increased the relevance of the chatbot interactions but also enhanced user engagement, making the interventions more effective in encouraging sustained behavior change. One of the standout benefits of these chatbots was their ability to create a nonjudgmental space where users could openly discuss sensitive health information without fear of stigma or judgment. This aspect is particularly valuable in promoting open communication in areas like smoking cessation, substance misuse, and medication adherence, where users may feel hesitant to share personal details with a human provider. Overall, AI chatbots have proven their efficacy in delivering health behavior change interventions to large and diverse populations. By providing accessible, continuous, and personalized support, these chatbots represent a significant advancement in healthcare technology. Juji’s features, including AI-assisted generation of conversation flow to explicitly incorporate behavioral change models and domain expertise, active listening and reading between lines, and dynamic personalization, enable AI chatbots that can empower individuals to take control of their health and make sustainable behavioral changes. #AI #AIChatbots #Healthcare #HealthTech #BehavioralChange #HealthChatbots #PatientCare #DigitalHealth

AI Chatbots in Healthcare: 3 Key Insights from Recent Research Review Researchers from McGill University, including Moustafa Laymouna, Yuanchao MA, David Lessard, Tibor Schuster, Kim Engler, and Bertrand Lebouche, recently conducted a literature review that highlights the transformative potential of AI chatbots in health care. https://lnkd.in/epgWxZWw Here are 3 key insights: 1. Chatbots Enhance Health Care Delivery and User-Centric Services • Remote Health Services: Chatbots are revolutionizing how health care is delivered by providing on-demand, remote services that enhance patient care, support, and management. • Health Literacy and Empowerment: Through educational content and skills building, chatbots help improve health literacy, empowering patients to take control of their well-being. • Behavioral Change Support: AI chatbots offer tailored strategies to promote healthier lifestyles and self-care, making them valuable tools in long-term health management. 2. Chatbots Promote Health Care Equity and Bridge Access Gaps • Broad User Base: AI chatbots cater to a wide variety of users, from those focused on general wellness to individuals with chronic or specific health conditions. • Mental Health Support: They provide accessible, stigma-free mental health services to users of all ages, addressing the growing demand for mental health care. • Equity and Inclusion: Chatbots help bridge the digital divide, ensuring that health care services reach underserved populations and promote equity in care. 3. Challenges of Chatbot Uses in Health Care • Accuracy and Patient Safety Concerns: While chatbots are effective for minor health issues and off-hour information, their limitations in handling complex health scenarios raise concerns about the accuracy of health management and patient safety. • Increased Demand for Human Expertise: Chatbots require sophisticated AI technology, placing increased demands on human expertise to maintain, supervise, and ensure proper function. A human-in-the-loop approach, like the one adopted by Juji's conversational AI platform, effectively addresses several key challenges in deploying AI chatbots in health care. By faithfully following designed healthcare workflows and smartly supporting the interleaving of multiple workflows automatically, Juji ensures chatbot interactions are clear, structured, and capable of guiding users through a broad range of health scenarios. The platform also enables the integration of human-curated knowledge directly into chatbot responses, a critical feature in health care where accuracy is essential. Additionally, Juji provides robust analytics and reporting for seamless monitoring of chatbot performance and user interactions. By fostering a close human-AI collaboration, Juji enhances safety, precision, and the overall quality of care. #AI #Healthcare #DigitalHealth #HealthEquity #Chatbots #AIChatbots #MentalHealth #PatientCare #UserCentricServices

3 Ways How AI Chatbots Can Help Address Academic Advising Challenges Academic advisers play a critical role in student success, guiding learners through academic programs and connecting them to campus resources. However, growing demands for personalized support, high caseloads, and adviser burnout are some of the biggest challenges in the field, according to new data from Tyton Partners - Strategy Consulting reported by Ashley Mowreader from Inside Higher Ed. https://lnkd.in/eK-YDMvw Here are some key insights from the study: • Top Concern: Heavy Caseloads and Adviser Burnout A significant number of advisers (43%) report high caseloads as their top challenge, while 37% highlighted burnout and turnover as growing concerns, a notable increase from last year. • Majority of Cases: Course Selection & Academic Planning The survey revealed that 95% of academic advisers and 59% of faculty advisers spend most of their time helping students with course selection and academic planning—tasks that are often repetitive and time-consuming. • Student Preference for Technology Interestingly, many students prefer to engage with AI-driven tools for routine tasks like course registration (rated 2.79 out of 5) and academic advising (2.66). This indicates a growing openness to leveraging technology for certain aspects of the academic advising process. How AI chatbots can help: 1. 24/7 Support for Routine Tasks With AI tools, students can access support for common queries like registration instructions, course requirements, and deadlines anytime, reducing the need for human advisers to handle routine tasks and easing caseloads (Image 1). 2. Streamline Course Registration AI chatbots can assist students in selecting courses based on their academic plans, prerequisites, and scheduling needs (Image 2). By automating these tasks, chatbots reduce the transactional workload for advisers, freeing up time for more meaningful, holistic advising sessions. 3. Support Academic Advising AI can also provide support for individualized academic advising tasks, such as academic planning or re-planning based on each student's specific situation, e.g., academic standing, personality, strengths, and financial constraints. Such AI tools can offer personalized guidance, helping students align their course selection with graduation requirements, personal interests, and career aspirations (Image 3). This ensures advisers can spend more time addressing more nuanced student needs. While AI should not replace advisers, it can augment their capacity by offloading routine tasks, allowing them to focus on providing deeper, more personalized support. AI tools can be a powerful ally in addressing the challenges of high caseloads and improving overall student success. #AI #HigherEd #StudentSuccess #AcademicAdvising #EdTech #ConversationalAI #GenerativeAI #AdviserBurnout #StudentSupport

Juji’s vision is to advance humanity through human-machine symbiosis. Juji’s mission is to democratize high-stakes, high-touch human services, such as skills learning, career counseling, and mental health support through human-AI teaming. It is to use and democratize AI agents to create a more inclusive and equitable world where #everyone can afford high-touch human services to be better, and live better and happier. Check out the Udacity event below where #Juji Co-founder and CEO Michelle Zhou will talk about her career journey and how AI can advance humanity.

How AI Chatbots Can Help Online Students Develop Self-Regulated Learning Skills Self-regulated learning (SRL) empowers students to take charge of their education by setting goals, tracking progress, managing time, and reflecting on outcomes. In online education, where students often work independently, SRL is critical to success. An article written by Ashley Mowreader from Inside Higher Ed reports research from Columbia University and SRI has shown that skill-building activities, such as online learning modules, prompts, and self-assessment, can significantly motivate students to practice SRL. https://lnkd.in/ehTY9iNz When students have difficulty motivating themselves in online learning, AI chatbots can come to the rescue, serving as an ideal tool to facilitate SRL skill-building activities. Here's how and why: 1. Personalized Delivery of SRL Content: AI chatbots can deliver learning modules in a personalized and interactive way. They can ask tailored follow-up questions after each module to reinforce key concepts, or suggest customized activities based on a student’s background and progress (Image 1-2). 2. Proactive Engagement with Guided Prompts and Reflection: AI chatbots can proactively engage with students and prompt the students with short-answer questions to help them plan, monitor progress, and reflect on their learning (Image 3). For example, the chatbots can ask, “What are your goals for the upcoming week?” or “How have you applied SRL strategies in your studies?” This fosters active learning and accountability. 3. Automated Progress Monitoring and Feedback: AI chatbots can help students perform self-assessments by guiding them through the process of tracking progress and reflecting on their understanding of the course material (Image 4). With regular check-ins and instant feedback, students can stay aware of their strengths and areas for improvement. In summary, AI chatbots offer personalized, real-time support that enhances SRL skills, helping students in remote learning environments achieve better outcomes. #AI #SelfRegulatedLearning #EdTech #OnlineLearning #AIChatbots #StudentSuccess #PersonalizedLearning #AdaptiveLearning

AI Chatbots and Experiential Learning: A Perfect Match for the Future of Education As AI transforms education, experiential learning has emerged as the perfect framework to integrate innovative AI tools. A recent article by Susan Morley-Zender M.Ed. delves into why AI and experiential learning are the ideal pairing to create dynamic, personalized, and impactful learning experiences. Here, we explore how AI chatbots in particular, can help. https://lnkd.in/eqAhKBtJ 1. Active Engagement Experiential learning emphasizes active participation, and AI chatbots can enhance this by keeping students engaged in real time as if each student has their own AI learning companion or AI tutor and can engage them 24x7. These AI learning companions can dynamically tailor learning content to individual students, continuously challenging them and aligning perfectly with experiential learning’s focus on engagement (Image 1). 2. Immediate Feedback A core principle of experiential learning is learning by doing—receiving feedback, reflecting, and improving. AI chatbots can provide immediate, personalized feedback, allowing students to learn from their mistakes and make adjustments on the spot (Image 2). This rapid feedback loop fosters a more dynamic and effective learning process. 3. Real-World Relevance and Practical Skill Acquisition Experiential learning thrives on real-world relevance. Not only can AI chatbots simulate real-life scenarios, but they can also make learning directly relevant to *each* student's own practical situation, making learning much more engaging and meaningful than ever before (Image 3). Such a learning experience also fosters gaining practical skills and competencies in addition to knowledge. 4. Personalization and Adaptation AI excels at personalization, creating customized learning paths. By adapting to each student’s interests and needs, AI chatbots can ensure that learners receive the right level of challenge and support, enriching the experiential learning process (Image 4). AI tools, particularly AI chatbots, hold great promises for transforming education. When integrated into an experiential learning framework, these tools foster active engagement, real-time feedback, competency acquisition, and personalized learning. Together, AI and experiential learning create an education system that prepares students for the complexities of the future. #AI #ExperientialLearning #EdTech #AIChatbots #PersonalizedLearning #FutureOfEducation #AdaptiveLearning #ActiveLearning #RealWorldSkills