The No-Code AI Education Program “Sungkyun Hands-On AI" Successfully Concludes

- Direct Development of Customized Learning Support AI Agentic Workflows

-“Experiencing the Efficacy of Creation Beyond Simply Using AI”

The no-code AI education program “Sungkyun Hands-On AI: Creating My Own AI Agentic Workflow for Learning Coaching,” planned and hosted by the Center for Teaching and Learning Innovation (Director: Professor Ah-Young Suh) and operated by Upstage, was successfully completed on January 28.

“Sungkyun Hands-On AI,” designed by the Center for Teaching and Learning Innovation (hereafter, the Center), is a project-based educational program in which learners objectively diagnose and reflect on their own learning methods and then design and implement AI agentic workflows to address areas for improvement. In particular, through Upstage’s no-code AI training, the program was structured to enable students without prior coding experience to implement workflows in practice. The program concluded with an offline result sharing event, the “Naesonso Festival” (subtitle: Introducing My Handmade AI), where a total of 27 teams presented their creations and exchanged mutual feedback.

“Sungkyun Hands-On AI” was designed to support students in growing beyond simply utilizing AI to becoming proactive creators who design and implement solutions themselves. The two-week program, held from January 14, was attended by 47 undergraduate students interested in software and AI. Participants utilized Upstage’s high-performance large language model “Solar Pro,” document parsing technology (Document Parse), and the no-code automation tool “n8n” to complete personalized AI agentic workflows for learning support.

At the culminating result sharing event, the “Naesonso Festival,” students demonstrated and presented the AI learning coaches they had developed over the course of two weeks. Departing from conventional one-way presentation formats, the event was organized as a rotating demonstration session in which participants were divided into two groups—“Sungkyun Class” and “Hands-On Class”—and visited each other’s booths. This format enabled participants to gain a closer understanding of each team’s results and to exchange in-depth, personalized feedback, fostering an environment of mutual learning. The event showcased a wide range of creative outcomes reflecting students’ real academic challenges.

The Grand Prize was awarded to Heo Yunseo of the Department of Global Biomedical Engineering for developing the “Hoonsoo AI Agent.” Rather than immediately providing correct answers, this agent analyzes the user’s problem-solving process and determines when intervention would most effectively enhance critical thinking, offering appropriate hints based on metacognitive principles. The project received praise from the judges for demonstrating not only technical completeness but also outstanding educational insight. Other award-winning projects included “AlgoMemory” (Excellence Award), designed to systematically suggest review timing for coding tests based on the forgetting curve to encourage sustained engagement; “ALPT_Toeic_Master” (Excellence Award), which analyzes individual weak areas to propose TOEIC study priorities; and “DoGyeongMyeong (道竟明)” (Merit Award), which supports growth by reviewing study schedules based on learners’ emotional states.

Participant feedback was also highly positive. The program recorded an overall satisfaction score of 4.72 out of 5. One participant remarked, “I felt a sense of efficacy by directly implementing AI that I had previously only encountered in theory and applying it to my own studies.” The Center for Teaching and Learning Innovation stated, “Sungkyun Hands-On AI demonstrates that students can independently innovate their own learning through the powerful tool of AI,” and added, “We will provide follow-up opportunities for continued exchange so that ideas can be further integrated and developed.”