Show a desktop notification when the AI TA finishes replying
Notify me when classmates post messages in the forum
Play an alert sound whenever there is a new notification
Guiding students from passive learning to active critical thinking through AI-powered Socratic dialogue
Peer-reviewed evidence: [1] ACM L@S 2026 · Best Paper finalist [2] Computers & Education: AI · in press [3] Frontiers in Psychology 2026
Try without signing in: chat with the AI running on our campus GPUs ↓
Need to build an AI TA for your course? How to apply
Four hundred years is the span of a series of changing foreign regimes; yet the island's story began far earlier. From Indigenous peoples and prehistory as the prologue, through the Dutch and Spanish, the Kingdom of Tungning, Qing rule, and Japanese rule, to the postwar era of authoritarianism, democratization, and transitional justice for the past. Includes a 3D island map of historical landmarks, a four-hundred-year timeline, and AI-guided reading. All content aims for objectivity and cites authoritative sources.
Enter Taiwan in Four Hundred Years 3D Island Map of Historical LandmarksNinety-four interactive science experiments you can do directly in your browser: adjust parameters, observe phenomena, record and export data. From pendulum periods and projectile motion to wave interference, it covers all four major fields with real-time computation and no installation required. After logging in, an AI lab assistant is also here to help as you work and ask questions.
Enter the Science LabResearch vision: Uedu proposes the “Chat as Learning” measurement paradigm—every prompt a student poses to an AI teaching assistant is an observable externalisation of learning cognition in progress. The motto “Ask Well, Think Deeply” draws on “inquire carefully, reflect thoroughly” from the Doctrine of the Mean and the art of good questioning in the Record of Learning (Xueji); we use Bloom’s Taxonomy to analyse the cognitive engagement patterns in students’ prompts—not to grade performance, but to make thinking processes visible. The paper, by Assistant Professor Chia-Kai Chang and Mr. Kuei-Hao Li, appears in Computers and Education: Artificial Intelligence—the journal ranked #2 worldwide in Education (Impact Factor 23.4), dedicated to research on AI applications in education.
Analysis across four universities, two semesters, 116 courses and over 60,000 student messages shows that about 62% of prompts reach higher-order cognition; moreover, the same student shifts cognitive patterns when the discipline changes—Apply is most prominent in STEM courses (20.8%), Understand dominates in Language courses (31.7%), and Create stands out in Social Science courses (33.8%). The variance in higher-order engagement comes mainly from the course discipline rather than the individual student: cognitive engagement is a discipline-contingent pattern, not a fixed personal interaction style.
See the research →Background and course context: The study's first author is Mr. K.-H. Li, co-founder of Uedu, and it builds on empirical research conducted in his university English course—deeply integrating the dual-role Agentic AI learning environment built on the Uedu platform (AI Lecturer + AI Teaching Assistant) into the course design to examine its effects on learner autonomy, self-regulated learning and intrinsic motivation. Mr. Li's university English course was also selected as a model course; the study thus earns dual recognition—academic (the international SSCI journal) and pedagogical (a model course).
A 16-week controlled study (120 undergraduates; 60 experimental / 60 control) found that when AI guided learners through Socratic questioning and gradually faded its scaffolding as competence grew, students’ gains in learner autonomy, self-regulated learning and intrinsic motivation were significantly greater than the control group (large effect sizes); most students’ questions to the AI also shifted gradually from “seeking answers” toward “seeking elaboration and metacognition.”
See the research →Uedu’s self-hosted local model: conversations never leave campus, optimised for Traditional Chinese, with system load fully transparent. Try it without signing in.
Research use notice: to improve model quality and support AI-literacy research, your conversations and system performance metrics are stored; when not signed in they are recorded anonymously, linked to no identity, and used only for aggregate analysis. Please do not enter personal or sensitive information. Learn about this model and the case for taking charge of AI →
This model runs on a single RTX 4090 GPU on campus—the real load of a one-card system, shown transparently. You may need to queue at peak times.
Find the role that fits you best and jump straight to the right tool.
AI Socratic dialogue centers on questioning, helping students naturally build critical thinking within your existing course
AI asks, understanding begins
Your teaching, with AI alongside
AI asks, reflection deepens
The strongest evidence for the platform is not our own claim—it is researchers across institutions independently designing and running studies with Uedu as their tool or research site, and publishing in international peer-reviewed journals.
The experimental group performed significantly better than the control group in evidence use (η²ₚ = .255) and rebuttal integration (η²ₚ = .087); no significant difference was found in claims on the two-point scale.
This study was designed, conducted and published by an independent research team.The author thanks Dr. Chia-Kai Chang by name in the acknowledgements for platform and technical support; the platform is identified as Uedu in the Methods section.
The AI era needs more than a handful of top technical experts (depth); it needs an entire workforce that can collaborate with AI (breadth)—marketing, management, law, design: every role now calls for AI literacy. Uedu focuses on exactly this breadth: equipping students from every discipline to work alongside AI.
"Using AI" is very different from "having AI literacy"—just as knowing how to drive isn't the same as driving literacy. Uedu doesn't just let you use AI; we design it so the more you use it, the more you think, question AI, and judge for yourself.
This page integrates six international and local frameworks—UNESCO, OECD, the EU AI Act, AAAI, IEEE, and Taiwan's Ministry of Education—to explain what AI literacy is, why everyone must learn it after 2026, and how Uedu helps you practice, while documenting global moves such as Purdue University making AI literacy a graduation requirement in Dec 2025.
Open the full AI literacy guide Academic versionThe same skill as media literacy—just the AI version.
Reports students write with AI increasingly look like real learning—final exams and written reports are losing their discriminating power. You can't tell which the student understood and which the AI wrote.
Formative assessment looks not at the final "output" but at the "thinking process"—where students get stuck, whether they ask follow-ups, whether they can critique AI answers. Process evidence doesn't lie.
Uedu translates Self-Determination Theory and Vygotsky’s Zone of Proximal Development into the design of its Agentic AI teaching assistant: the agent uses Socratic questioning to guide learners to elaborate and reflect, and lets scaffolding fade gradually as ability grows. In a 16-week quasi-experiment, most learners’ questions to the AI shifted gradually from “seeking answers” toward “seeking elaboration and metacognition”—an observable trajectory of learning behavior.
Uedu is an EdTech platform built around generative AI, integrating teaching, learning and research. Through multidimensional Educational Omics data integration, it creates a personalized learning experience for every learner.
Uedu offers a complete set of teaching and research tools to help teachers improve teaching quality
After you upload materials, AI auto-generates varied question types, with item-bank management, auto-grading and score analysis
Record your screen and webcam, auto-saved and shareable to students for after-class replay
Upload course materials and the AI assistant answers students' questions based on your content
Collect HRV, sleep and stress data to explore how physiological state affects learning
Chat freely with schoolmates, anonymously or named, sharing course experiences and campus info
See ratings and course reviews, upload past exams, and make better course choices
Automatically compiles your learning trajectory across courses—dialogues, quizzes and discussion outcomes
Integrates three major scales—RIASEC, Big Five and MBTI—to help you understand your learning traits
Instead of giving answers, it uses layered questions to help students discover answers themselves
Direct-answer mode
What is photosynthesis?
Photosynthesis is the process by which plants use light energy to turn carbon dioxide and water into glucose and oxygen. The formula is: 6CO₂ + 6H₂O + light energy → C₆H₁₂O₆ + 6O₂
Guide thinking, train the brain
What is photosynthesis?
Great question! Before I answer, let me ask you first:
What "materials" do you think a plant needs to grow?
Um... water, sunlight, and air?
Excellent! You've named three key elements.
So, what role do you think "sunlight" plays in this process? Is it a material? Or...?
The student is thinking about the difference between "energy" and "material"
Every round of AI dialogue is auto-tagged with Bloom's cognitive levels. From "Remember" to "Create," you can watch students' thinking climb from shallow understanding to higher-order reasoning.
AI tags each message's cognitive level in real time—no manual reading needed
Which students are stuck at remembering? Who can already analyze and evaluate? See it at a glance
Compare cognitive distribution at the start and end of the term to quantify teaching impact
Search by name, school or field of expertise
Found 20 teachers
National Central University
Center for General Education | Assistant Professor
National Tsing Hua University
International Interdisciplinary PhD Program | PhD Candidate
National Yang Ming Chiao Tung University
Graduate Institute of Education | Associate Professor; Center for Open Educational Resources in Higher Education | Deputy Director
National Central University
Department of Chinese Literature | Associate Professor
National Central University
Department of Chinese Literature | Adjunct Assistant Professor
National Central University
Language Center | Assistant Professor
National Central University
Language Center | Assistant Professor
National Central University
Department of Chinese Literature | Adjunct Lecturer
Chung Yuan Christian University
Department of Business Administration | Associate Professor
Chung Yuan Christian University
Department of International Business | Associate Professor
Ming Chuan University
Department of Counseling and Industrial-Organizational Psychology | Associate Professor
Kaohsiung Medical University
Center for General Education / Center for Humanities and Arts Education | Associate Professor
National Taipei University of Nursing and Health Sciences
Department of Health Care Management | Assistant Professor
Chang Gung University of Science and Technology
Department of Nursing | Assistant Professor
National Changhua University of Education
Department of Special Education | Associate Professor
Real experiences from across disciplines
Center for General Education, NCU | Programming - Python
“I kept my existing teaching approach—mainly lectures and PBL—but replaced the original programming assignments with Socratic dialogue, guiding students to take the initiative in conversing with AI and building a trail of knowledge. In their final individual projects, you could clearly see that their thinking had grown deeper. 56% of students considered generative AI the most effective learning tool.”
Chung Yuan Christian University | Department of Business Administration
“Uedu's interface design incorporates the concepts of Contained Knowledge and collaboration. Learners are no longer passive recipients of knowledge; they can interact with AI or other learners to co-construct a knowledge system. This design aligns with PBL (Problem-Based Learning), enabling students not merely to ask and answer questions but to clarify the very logic and structure of the problem itself.”
National Central University | Language Center
“Cultivating learners' capacity for self-directed learning carries profound significance for academic development. The scaffolding of Uedu's Socratic dialogue assistant effectively strengthens English learners' argumentative writing, helping students build a more logical connection between critical thinking and expression.”
Questions about use, features and research—all answered here
Go to FAQCan't find an answer? Contact us
Uedu platform uses Educational Omics Using educational genomics as its theoretical framework, integrating learning data across six dimensions—cognition, language, physiology/neuroscience, social, environment, and ethics—to build Trusted Educational Data Lake.
Want to add AI Socratic dialogue to your course? You're very welcome!
Want to add AI Socratic dialogue to your course and boost students' thinking? Free for teachers and students—you can experience all features.
This platform is supported by National Central University, with all features provided free of charge.
About data use: When you use the platform, Uedu collects the necessary interaction and learning-process data under defined guidelines for system optimization and teaching-feedback analysis for instructors (for example, generating a course knowledge trail). This data is used solely to improve service quality and is never used for individual assessment or grading. Only if you have signed a research informed-consent form (see the research ethics page) will we use the data, after de-identification, for academic research analysis. In addition, Uedu also supports the collection of exercise- and physiology-related data, which is likewise used only for system optimization; it is used for research purposes only after the user has signed an IRB-approved research informed-consent form.
Principal Investigator:Chia-Kai Chang, Assistant Professor | [email protected]
National Central University Center for General Education Assistant Professor
Assistant Professor Chia-Kai Chang serves at the Center for General Education, National Central University, teaching Python, Linux, and interdisciplinary AI application projects. His research spans generative AI, multimodal learning analytics, and physiological-signal-assisted learning, integrating physical and IoT sensing technologies with a focus on big-data design and applications for an educational Omics data lake. Through digital twin models and smart learning environments, he explores cognitive enhancement, emotion regulation, and learning transfer in interdisciplinary courses.
Email: [email protected]
National Central University Language Center Assistant Professor
Assistant Professor Ming-Yi Li serves at the Language Center of National Central University, where she also heads the Chinese Language Division. Her teaching covers Chinese language pedagogy, teaching materials and methods, Mandarin grammar, grammar instruction, and corpus-based approaches to teaching Chinese, along with Chinese language courses at all levels. Her current research focuses on Chinese vocabulary, grammar, discourse, and academic language instruction, as well as Chinese language teacher education.
Email: [email protected]
National Central University Language Center Assistant Professor
Assistant Professor Li-Jen Wang teaches academic English writing, English presentation, business English, and English proficiency test preparation (speaking and writing). His current work focuses on computer-assisted language learning, EMI (English-medium instruction) in higher education, digital learning, and science education.
Email: [email protected]
National Central University Department of Chinese Literature Part-time Assistant Professor
Assistant Professor Lan-Yun Tu currently offers courses on Chinese writing, reading literary classics, and language and rhetoric — courses centered on applied Chinese, reading, and writing — at the Department of Chinese Literature, National Central University and the Center for General Education, Chung Yuan Christian University. Her scholarly expertise includes studies of the Yijing (Book of Changes), Wei-Jin Xuanxue, the interpretation of Chinese classics, and Confucian and Daoist thought.
Email: [email protected]
National Dong Hwa University Department of Physics Professor
Assistant Professor Chien-Chih Lai serves in the Department of Physics at National Dong Hwa University.
Email: [email protected]
Taipei Medical University Department of Nursing Associate Professor
Ching-Yi Chang is an associate professor at the Department of School of Nursing, College of Nursing, Taipei Medical University. Her research interests include maternal and child health, mobile learning, digital game-based learning, flipped classrooms, medical education, and nursing education.
Email: [email protected]
National Central University Department of Chinese Literature Associate Professor
Dr. Fang-Hsiang Cheng is an associate professor at National Central University, specializing in classical Chinese prose and Song dynasty literature. He teaches courses including A Cultural Tour of Taoyuan Temples, Knowledge Writing and Thinking, and Freshman Chinese, and is dedicated to promoting Taoyuan culture and cultivating students' literary literacy. His research centers on Song dynasty prose, with numerous academic publications on topics such as the relationship between classical prose and the classics and histories. He has also taken part in several regional gazetteer compilation projects and action research on temple culture, having led the action research for the Taoyuan temple culture course, with an emphasis on preserving traditional culture and promoting education. He previously worked in overseas Chinese language education with the Overseas Community Affairs Council and taught in the Department of Applied Chinese at Shih Chien University, bringing extensive teaching and research experience.
Email: [email protected]
Web: https://sites.google.com/view/taoyuan-temple/%E9%A6%96%E9%A0%81
Chung Yuan Christian University Department of Business Administration Associate Professor
Dr. Shan-Ying Chu is an associate professor in the Department of Business Administration at Chung Yuan Christian University. Her research areas include microeconomics, applied econometrics, the economics of education, and finance and AI.
Email: [email protected]
Chung Yuan Christian University Department of International Business and Trade Associate Professor
Dr. Yi-Nung Yang is an associate professor in the Department of International Business and Trade at Chung Yuan Christian University. His research areas include international finance, behavioral and experimental economics, Internet economics applications, and financial econometric analysis.
Email: [email protected]
Changhua University of Education Department of Special Education Associate Professor
Dr. Ching-Ching Chang is an associate professor in the Department of Special Education at National Changhua University of Education. Her research areas include gifted education and testing and assessment.
Email: [email protected]
Chang Gung University of Science and Technology Department of Nursing Assistant Professor
Dr. Hsiu-Jane Tai is an assistant professor in the Department of Nursing at Chang Gung University of Science and Technology. Her research areas include oncology nursing, nursing education, and long-term care.
Email: [email protected]
National Yang Ming Chiao Tung University Institute of Educational Research Associate Professor
National Yang Ming Chiao Tung University Center for Open Educational Resources in Higher Education Deputy Director
Associate professor at the Institute of Education, National Yang Ming Chiao Tung University. He holds bachelor's and master's degrees in Education from National Taiwan Normal University, a master's in Applied Statistics from the University of Illinois Urbana-Champaign, and a Ph.D. from its Department of Curriculum and Instruction (Mathematics, Science, and Technology Education). Together with Dr. Christine Bauer and Dr. Patrick Lowenthal, he received the National University Technology Network (NUTN) 2015 research award, as well as the 2016 and 2017 distance learning journal article awards from the Association for Educational Communication & Technology (AECT). Before returning to Taiwan, he served as an instructional design and research analyst at Boise State University's eCampus Center and as an adjunct instructor in its foreign languages department, and returned to NCTU in September 2015 under the Ministry of Science and Technology's program for recruiting outstanding talent. Since 2016, based at NCTU, he has collaborated with renowned MOOC instructor Barbara Oakley to adapt Learning How To Learn into localized MOOCs for Chinese-speaking learners, while developing cross-generational, multi-format MOOCs (such as podcast audio courses) in both China and Taiwan. With over one hundred thousand cumulative enrollments in these courses across platforms, he uses them as a research site to develop practical theories for sustainable MOOCs and analyzes online learning behavior together with his graduate students. He also collaborates with the College of Science on evidence-based learning analytics frameworks that track the development of self-regulated learning competencies among undergraduates in fully online courses. His past research interests include the digital divide, digital cheating, teachers' professional development in digital instruction, curriculum and instruction, and overseas Taiwanese schools.
In teaching, he has twice been recognized as an outstanding mentor at NCTU and has received an NCTU Teaching Award, a Distinguished Teaching Award, and awards for MOOC and OpenCourseWare courses. Through mentoring graduate students, he hopes to broaden Taiwan's recognition of instructional design as a profession, and he is frequently invited to universities to share techniques for integrating digital technology into teaching. Outside work, he enjoys choral music and currently serves as executive secretary and deputy director of the NYCU faculty and staff choir.
Email: [email protected]
Ming Chuan University Department of Counseling and Industrial-Organizational Psychology Associate Professor
Dr. Ying-Shao Hsu is an associate professor in the Department of Counseling and Industrial/Organizational Psychology at Ming Chuan University. Her research areas include industrial and organizational psychology, psychological research methods, and psychometrics. Her courses include group dynamics and counseling, professional ethics, grief counseling and end-of-life care, seminars on the psychology of emotion, practicum seminars in counseling and psychotherapy, part-time and full-time counseling internships, and seminars on counseling and forensic psychology. Her practice and research expertise covers individual and group counseling processes and practice, emotion and grief counseling, couple and family therapy, and issues such as domestic violence, guardians ad litem, and restorative justice.
Email: [email protected]
National Taipei University of Nursing and Health Sciences Department of Health Business Management Assistant Professor
Dr. Yi-Ling Tsai is an assistant professor in the Department of Health Business Management at National Taipei University of Nursing and Health Sciences. Her research areas include health technology assessment, health economics, health industry marketing and communication, health policy and management, and pharmaceutical market access practice.
Email: [email protected]
National Central University Department of Chinese Literature Adjunct Lecturer
Tao-Yi Chiang, Ph.D. candidate, is an adjunct lecturer in the Department of Chinese Literature at National Central University. His work combines classical literature with digital humanities, using applied Chinese as a teaching field to develop pedagogical approaches that integrate classical literature with digital technology and cultivate competency-oriented, interdisciplinary thinking.
Email: [email protected]
National Tsing Hua University Intercollegiate International PhD Program PhD Candidate
Kuei-Hao Li, Ph.D. candidate, has served as a lecturer in the Department of Education and Learning Technology at National Tsing Hua University, the Department of Foreign Languages and Literatures at National Yang Ming Chiao Tung University, the Department of English at National Taipei University of Technology, and the Language Center at National Taiwan University of Science and Technology. His areas of expertise include digital learning, introduction to artificial intelligence, computer-assisted language learning, technical English writing, and English-medium instruction.
Email: [email protected]
Kaohsiung Medical University Center for General Education / Center for Humanities and Arts Education Associate Professor
Higher education studies (including university students' emotions and learning, assessment of student learning outcomes, higher education evaluation, medical education, and environmental education), institutional research, qualitative research with computer-assisted analysis, and integrated qualitative and quantitative research.
Email: [email protected]
Kaohsiung Medical University Center for General Education / Center for Humanities and Arts Education Associate Professor
Her research expertise includes corpus linguistics, lexical semantics, psycholinguistics, cognitive linguistics, and quantitative research.
Web: https://www.siawfongchung.com/
Email: [email protected]
