LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms

📅 2025-09-11
📈 Citations: 0
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🤖 AI Summary
In exploratory learning environments, teachers struggle to monitor students’ conceptual understanding in real time. This study introduces LearnLens—a generative AI–enhanced teaching dashboard designed for secondary science classrooms to support inquiry-based instruction. Methodologically, LearnLens integrates large language models into educational analytics: it employs NLP to automatically summarize open-ended student responses, generate keyword clouds and concept maps, and visualize class-level cognitive distributions. Evaluated in an Earth science unit, the system significantly improved teachers’ situational awareness of student thinking and enabled responsive, data-informed instructional adjustments. Teacher interviews confirmed its high usability and pedagogical alignment. The work makes two key contributions: (1) it pioneers deep integration of generative AI into formative assessment infrastructure, and (2) it establishes a transferable technical framework and implementation paradigm for AI-augmented classroom formative evaluation.

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📝 Abstract
Exploratory learning environments (ELEs), such as simulation-based platforms and open-ended science curricula, promote hands-on exploration and problem-solving but make it difficult for teachers to gain timely insights into students' conceptual understanding. This paper presents LearnLens, a generative AI (GenAI)-enhanced teacher-facing dashboard designed to support problem-based instruction in middle school science. LearnLens processes students' open-ended responses from digital assessments to provide various insights, including sample responses, word clouds, bar charts, and AI-generated summaries. These features elucidate students' thinking, enabling teachers to adjust their instruction based on emerging patterns of understanding. The dashboard was informed by teacher input during professional development sessions and implemented within a middle school Earth science curriculum. We report insights from teacher interviews that highlight the dashboard's usability and potential to guide teachers' instruction in the classroom.
Problem

Research questions and friction points this paper is trying to address.

Supports teachers in exploratory learning environments
Provides insights into students' conceptual understanding
Processes open-ended responses for instructional adjustments
Innovation

Methods, ideas, or system contributions that make the work stand out.

AI dashboard for open-ended classroom insights
Processes student responses to generate summaries
Provides visual analytics to guide teaching adjustments
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