Prototypes

Discover our annotation method tailored for illuminating structured components and key arguments within legal case analyses created by German law students.

Through an extensive study with two expert annotators, we meticulously recorded these components.

This effort led to the development of three sophisticated transformer-based models, which excel in predicting annotated elements, offering unprecedented support in legal text composition.

This breakthrough provides a substantial boost to those aiming to enhance their legal writing skills.

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Our innovative business pitch feedback tool is designed to elevate the innovativeness, persuasiveness, and clarity of your pitches.

Through the power of Artificial Intelligence, PitchPerfect provides personalized feedback to refine your presentation.

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As an intelligent assistant specializing in reflective writing, MindBuddy is your trusted companion on the journey of learning and practicing this invaluable skill.

Whether you’re a student, professional, or simply someone eager to enhance your self-expression, MindBuddy provides personalized guidance and support tailored to your unique needs.

With MindBuddy by your side, unlocking the transformative power of reflective writing has never been more accessible or rewarding.

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Case Coach is an innovative platform designed to enhance legal writing skills for law students and professionals. Utilizing advanced AI-driven feedback, Case Coach offers real-time analysis and improvement suggestions for case solutions.

The platform helps users master the art of structured legal writing, ensuring clarity and precision. Whether you’re a beginner or an experienced law student, Case Coach provides the tools and insights needed to excel in legal writing and case analysis.

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An innovative conversational agent designed to revolutionize the landscape of course evaluations. By seamlessly blending cutting-edge Natural Language Processing (NLP) technologies with intuitive conversational interfaces, our prototype promises to redefine how students engage with and provide feedback on their learning experiences.

Harnessing the potential of this pioneering tool, we aim to unveil new avenues for enhancing the quality and effectiveness of course evaluations, setting a new standard for feedback mechanisms in educational settings.

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Explore the forefront of Natural Language Processing (NLP) advancements, which now extend to detecting the level of empathy within textual content. Our pioneering research investigates the impact of personalized feedback on students’ empathy levels during the peer review process, aiming to enhance the empathy conveyed in their reviews.

Enter ELEA, an adaptive writing support system meticulously engineered to provide students with feedback on both cognitive and emotional empathy structures in their writing. In a comprehensive study involving students engaged in peer review activities, ELEA was compared to an established empathy support tool, yielding compelling results.

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ArgueTutor leverages cutting-edge Natural Language Processing techniques to create a new paradigm in dialog-based human-computer interaction, specifically aimed at enhancing the argumentation quality in persuasive writing.

This innovative conversational agent provides adaptive tutoring to students, offering personalized argumentation feedback to improve their writing skills. ArgueTutor demonstrated its superiority over traditional writing tools by helping students craft more convincing texts with higher argumentation quality.

Additionally, the tool scored high on enjoyment and ease of use, showcasing its potential for integration into conventional educational settings. Our findings suggest that combining dialog-based learning applications with NLP feedback can significantly advance students’ writing abilities.

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An innovative argumentation annotation approach poised to transform the landscape of student-written business model pitches.

Our pioneering methodology not only models the intricate structure of argumentative discourse but also encapsulates key metrics of persuasiveness, including specificity, strength, evidence, and relevance.

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Reviewriter showcases the innovative potential of Large Language Models (LLMs) in educational applications.

It’s built on deep insights into student needs, ensuring every user receives tailored, adaptive instructions that maximize their writing potential.

After rigorous testing and refinement, we’ve handpicked the most powerful German language model, German-GPT2, for unparalleled performance.

And finally, with real users singing its praises, Reviewriter boasts exceptional technology acceptance and delivers tangible results that speak volumes.

Explore Reviewriter now and elevate your writing game like never before.

Cutting-edge system designed to revolutionize the peer review process. Leveraging advanced machine learning algorithms, this prototype provides authors with dynamic, constructive feedback on their writing from a diverse pool of peers.

By analyzing the content, structure, and style of submitted works, the system generates tailored suggestions aimed at enhancing clarity, coherence, and overall quality. This innovative approach not only streamlines the review process but also fosters a collaborative environment for writers to refine their work and reach their full potential.

The transformative potential of reflective writing in enhancing students’ learning experiences is well-established. Yet, the challenge lies in guiding learners to articulate their reflections constructively.

Addressing this, MindMate pioneers a novel approach by employing conversational agents (CAs) to facilitate reflective writing processes. Drawing from the hypothesis that personalized guidance through conversational interactions could amplify the quality of reflective writing, MindMate was meticulously crafted to support learners in this endeavor.

Emma is an intelligent conversational agent providing personalized feedback on perspective-taking and emotional appropriateness within textual interactions.

Through rigorous testing, Emma has demonstrated superior efficacy in enhancing emotional empathy and self-perceived empathy skills, underscoring its potential to revolutionize peer learning and foster inclusive educational environments.

Our prototype website unveils an innovative argumentation annotation approach tailored to model the structure of argumentative discourse within student-written business model pitches.

Going beyond traditional assessment techniques, our methodology captures a spectrum of persuasiveness scores, including specificity, strength, evidence, and relevance, both at the pitch level and within individual components.

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