Cover Image

Evaluation of LLM-based Explanations for a Learning Analytics Dashboard

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Deriyeva, Alina, Paassen, Benjamin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?
by: Khalid, Adia, et al.
Published: (2025)

Can LLM Assist in the Evaluation of the Quality of Machine Learning Explanations?
by: Wang, Bo, et al.
Published: (2025)

LangLasso: Interactive Cluster Descriptions through LLM Explanation
by: Buchmüller, Raphael, et al.
Published: (2026)

Advanced Gaze Analytics Dashboard
by: Jayawardena, Gavindya, et al.
Published: (2024)

SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context
by: Deriyeva, Alina, et al.
Published: (2026)

VAAD: Visual Attention Analysis Dashboard applied to e-Learning
by: Navarro, Miriam, et al.
Published: (2024)

LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education
by: Kim, Minsun, et al.
Published: (2024)

The Duet of Representations and How Explanations Exacerbate It
by: Wan, Charles, et al.
Published: (2024)

TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic
by: Feng, Zezheng, et al.
Published: (2024)

The Balancing Act of Policies in Developing Machine Learning Explanations
by: Tjaden, Jacob
Published: (2025)

Automated Explanation of Machine Learning Models of Footballing Actions in Words
by: Rahimian, Pegah, et al.
Published: (2025)

Design Requirements for Human-Centered Graph Neural Network Explanations
by: Habibi, Pantea, et al.
Published: (2024)

CLARA: An AI-Augmented Analytics Dashboard for Collaboration Literacy
by: Xie, Dawei, et al.
Published: (2026)

Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis
by: Barbu, Eduard, et al.
Published: (2024)

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
by: Kahng, Minsuk, et al.
Published: (2024)

VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation
by: Poličar, Pavlin G., et al.
Published: (2024)

Exploring Student Expectations and Confidence in Learning Analytics
by: Asatryan, Hayk, et al.
Published: (2026)

Introducing User Feedback-based Counterfactual Explanations (UFCE)
by: Suffian, Muhammad, et al.
Published: (2024)

Evaluation of Human-Understandability of Global Model Explanations using Decision Tree
by: Sivaprasad, Adarsa, et al.
Published: (2023)

Stop Misusing t-SNE and UMAP for Visual Analytics
by: Jeon, Hyeon, et al.
Published: (2025)

On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models
by: Rezaei, Shahbaz, et al.
Published: (2025)

Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Education
by: Lekshmi-Narayanan, Arun-Balajiee, et al.
Published: (2026)

Explanation through Reward Model Reconciliation using POMDP Tree Search
by: Kraske, Benjamin D., et al.
Published: (2023)

Expert Cognition Dashboard: From Learning Analytics to Cognition Intelligence in AI-Driven Education
by: Yuan, Annie
Published: (2026)

Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding
by: Baer, Gregor, et al.
Published: (2026)

Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering
by: Heravi, Negin, et al.
Published: (2022)

iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
by: Swamy, Vinitra, et al.
Published: (2024)

A-DisETrac Advanced Analytic Dashboard for Distributed Eye Tracking
by: Abeysinghe, Yasasi, et al.
Published: (2024)

d-DQIVAR: Data-centric Visual Analytics and Reasoning for Data Quality Improvement
by: Hong, Hyein, et al.
Published: (2025)

Properties and Challenges of LLM-Generated Explanations
by: Kunz, Jenny, et al.
Published: (2024)

VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
by: Chatzimparmpas, Angelos, et al.
Published: (2020)

HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques
by: Chatzimparmpas, Angelos, et al.
Published: (2022)

JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery from Large-Scale Human-LLM Conversational Datasets
by: Jin, Zhihua, et al.
Published: (2024)

DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
by: Moreira, Ricardo, et al.
Published: (2024)

Adaptive Crowdsourcing Via Self-Supervised Learning
by: Kagrecha, Anmol, et al.
Published: (2024)

VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
by: Chatzimparmpas, Angelos, et al.
Published: (2021)

Chatting with a Learning Analytics Dashboard: The Role of Generative AI Literacy on Learner Interaction with Conventional and Scaffolding Chatbots
by: Jin, Yueqiao, et al.
Published: (2024)

Lessons from Deploying Learning-based CSI Localization on a Large-Scale ISAC Platform
by: Zhang, Tianyu, et al.
Published: (2025)

FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
by: Chatzimparmpas, Angelos, et al.
Published: (2021)

LLM Chatbot-Creation Approaches
by: Mehta, Hemil, et al.
Published: (2025)