A survey of 172 open educational datasets from 204 papers across LAK, EDM, and AIED conferences reveals trends, 143 previously uncatalogued datasets, field gaps, and an 8-item PRACTICE checklist for better data publication.
hub Canonical reference
22.Family as a Third Space for AI Literacies: How do children and par-ents learn about AI together?
Canonical reference. 75% of citing Pith papers cite this work as background.
15
Pith papers citing it
Background
75% of classified citations
hub tools
citation-role summary
background 8
citation-polarity summary
roles
background 8representative citing papers
NIRVANA supplies keystroke-level logs, complete ChatGPT dialogues, and copied content from 77 students to reconstruct AI-assisted essay writing and classify students into four behavioral profiles: Lead Authors, Collaborators, Drafters, and Vibe Writers.
RECAP captures, replays, and analyzes AI-assisted programming sessions by linking prompts, edits, and developer actions in a single timeline.
Mixed-Initiative Context reconceptualizes interaction context as a dynamic, jointly manageable structure that humans and AI can actively organize according to task needs.
Script2Screen integrates scriptwriting with an interactive text-to-audiovisual pipeline for dialogues, using a user study to show it supports iterative refinement in creative writing.
Survey of 155 researchers finds 44% observed LLM usage in crowdsourced data, with high awareness but insufficient mitigation efforts.
Mixed-methods study finds AI assistance linked to higher textual overlap with suggestions in writing tasks, and a reflective interface prototype increases user awareness of AI incorporation.
AI writing support reduces ownership most at drafting and least at planning, tracking how much text and ideas the AI contributes, while more AI help raises essay quality.
Southeast Asian immigrant mothers in Taiwan navigate structural marginalization to foster children's learning and transmit cultural values, yielding justice-oriented design implications for socio-technical systems at multiple levels.
Structural mental models of AI writing assistants improve system understanding and usability but result in more grammatical errors in user writing compared to functional models.
LLMs exhibit masculine bias when assigning gender to animal characters in generated stories, with neutrality often resulting in erasure of feminine perspectives.
An online experiment finds that showing users an overview of an AI's values reduces reliance on AI suggestions during writing tasks.
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.
citing papers explorer
-
Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE
A survey of 172 open educational datasets from 204 papers across LAK, EDM, and AIED conferences reveals trends, 143 previously uncatalogued datasets, field gaps, and an 8-item PRACTICE checklist for better data publication.
-
NIRVANA: A Comprehensive Dataset for Reproducing How Students Use Generative AI for Essay Writing
NIRVANA supplies keystroke-level logs, complete ChatGPT dialogues, and copied content from 77 students to reconstruct AI-assisted essay writing and classify students into four behavioral profiles: Lead Authors, Collaborators, Drafters, and Vibe Writers.
-
RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions
RECAP captures, replays, and analyzes AI-assisted programming sessions by linking prompts, edits, and developer actions in a single timeline.
-
Mixed-Initiative Context: Structuring and Managing Context for Human-AI Collaboration
Mixed-Initiative Context reconceptualizes interaction context as a dynamic, jointly manageable structure that humans and AI can actively organize according to task needs.
-
Script2Screen: Supporting Dialogue Scriptwriting with Interactive Audiovisual Generation
Script2Screen integrates scriptwriting with an interactive text-to-audiovisual pipeline for dialogues, using a user study to show it supports iterative refinement in creative writing.
-
Can Crowdsourcing Survive the LLM Era? A Community Survey on Human Data Collection
Survey of 155 researchers finds 44% observed LLM usage in crowdsourced data, with high awareness but insufficient mitigation efforts.
-
Overreliance in Writing Tasks: Exploring Similarity-Based Measures of AI Influence on Writing and Proposing a Reflective Writing Interface Intervention
Mixed-methods study finds AI assistance linked to higher textual overlap with suggestions in writing tasks, and a reflective interface prototype increases user awareness of AI incorporation.
-
From Planning to Revision: How AI Writing Support at Different Stages Alters Ownership
AI writing support reduces ownership most at drafting and least at planning, tracking how much text and ideas the AI contributes, while more AI help raises essay quality.
-
Navigating Marginalization: Toward Justice-Oriented Socio-Technical Design for Parent-Child Learning among Southeast Asian Immigrant Mothers in Taiwan
Southeast Asian immigrant mothers in Taiwan navigate structural marginalization to foster children's learning and transmit cultural values, yielding justice-oriented design implications for socio-technical systems at multiple levels.
-
From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants
Structural mental models of AI writing assistants improve system understanding and usability but result in more grammatical errors in user writing compared to functional models.
-
Neutrality Bites: Gender Representation in AI-Generated Animal Stories
LLMs exhibit masculine bias when assigning gender to animal characters in generated stories, with neutrality often resulting in erasure of feminine perspectives.
-
Framing an AI with Values Reduces AI Reliance in AI-supported Writing Tasks
An online experiment finds that showing users an overview of an AI's values reduces reliance on AI suggestions during writing tasks.
-
How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.
- Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-LLM Interactions
- An Empirical Study to Understand How Students Use ChatGPT for Writing Essays