Projects

  • Coursemology
  • Cikgo
  • Codaveri
  • SoftMark
  • ScholAIstic
  • SSID

Smart Automation at Your Fingertips

Tailored Feedback & Interactive Help

Data-Driven Insights That Matter

Gamification: Making Learning Fun

Fully Customisable Learning Journey

Intelligent Interactions

Control & Continuity

Coding Education, Reinvented

No More Suitcases of Exam Scripts

Collaborative Grading that Saves Time

Deepening Knowledge Through Follow-Up Feedback

Unlock the future of learning today with ScholAIstic – an educator-friendly Generative AI platform that brings the power of large language models (LLMs) directly into the hands of educators, enabling us to design and deliver specialised chatbots to enhance students’ learning.

With ScholAIstic, we can bring an AI tutor to life to enhance students learning – either as a facilitator to guide and challenge students to go further in their thinking through Socratic questioning, or by role-playing so that students practice and refine valuable human skills through their interactions with a chatbot.

Flexibility with Access to Multiple LLM Models

ScholAIstic is designed to work seamlessly with top-tier large language models (LLMs), including ChatGPT and Anthropic Claude, giving educators the flexibility to choose the Generative AI model that best suits their students’ needs.

Simplified Prompt Administration

Educators can easily create, modify, and administer prompts for various learning objectives. Students do not need to go through the hassle of copying and pasting prompts into ChatGPT

Insightful Conversations at Your Fingertips

Educators can effortlessly review student interactions with the AI – whether for grading purposes or simply to observe learning patterns and insights – empowering educators with a richer understanding of how students interact with technology in their learning journey.

Student Submission Integrity Diagnosis (SSID) is an innovative system aimed at preserving academic integrity by detecting and reporting unusual similarities in student submissions through an easy-to-use interface. This system uses state-of-the-art technology to assist educational institutions in identifying and addressing potential plagiarism effortlessly and effectively.

Fuss-free Setup With Multi-Language Support

SSID detects and processes submissions in a variety of programming languages and automatically applies appropriate optional parameter settings. This flexibility ensures that institutions can accommodate a wide range of courses and programming assignments.

Scalable & Reliable For Classes Of Any Size

Designed to efficiently and effectively handle large volumes of data, SSID can support large classes without compromising on speed or accuracy. This makes it an ideal solution for major universities and online courses with high enrollment.

Advanced Similarity Detection

SSID employs sophisticated fingerprinting techniques and state-of-the-art language models to analyze code submissions. Educators are provided near-real time insights into the originality of each work through details highlighting of similarities and potential plagiarism across assignments and groups of students.

Acknowledgements

We extend our gratitude to Associate Professor Min-Yen Kan and the original team at Web, Information Retrieval / Natural Language Processing Group (WING) for their pioneering work on SSID. As we integrate this project into our initiatives, AICET is committed to further developing and enhancing its capabilities to serve educational communities worldwide.