yusuke1997/dblp-id-title huggingface dataset:
Experiments with Automatically Created Memory-Based Heuristics
Abstraction and Reformulation in GraphPlan
Knowledge Acquisition on Manipulation of Flow and Water Quality Models
Inconsistency-Tolerant Reasoning with Classical Logic and Large Databases
Incorrect Lower Bounds for Path Consistency and More
Past SARA Symposia
Transforming and Refining Abstract Constraint Specifications
Using Feature Hierarchies in Bayesian Network Learning
Reformulating Constraint Models Using Input Data
Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction
Computing and Using Lower and Upper Bounds for Action Elimination in MDP Planning
Some Interval Approximation Techniques for MINLP
Abstract Representation in Painting and Computing
Experiments with Multiple Abstraction Heuristics in Symbolic Verification
Instance-Specific Remodelling of Planning Domains by Adding Macros and Removing Operators
Improving the Efficiency of Reasoning Through Structure-Based Reformulation
Partial Pattern Databases
Light Algorithms for Maintaining Max-RPC During Search
Approximate Model-Based Diagnosis Using Greedy Stochastic Search
Reformulating Planning Problems by Eliminating Unpromising Actions
The Oracular Constraints Method
Reformulation for Extensional Reasoning
The Lumberjack Algorithm for Learning Linked Decision Forests
Decomposition of Games for Efficient Reasoning
Guided-KNOWLA: The Use of Guided Unscrambling to Enhance Active Online Learning
Educational Evaluation in the PKU SPOC Course "Data Structures and Algorithms"
Hint systems may negatively impact performance in educational games
BookBuddy: Turning Digital Materials Into Interactive Foreign Language Lessons Through a Voice Chatbot
Comment Ranking Diversification in Forum Discussions
Combining Collaborative Reflection based on Worked-Out Examples with Problem-Solving Practice: Designing Collaborative Programming Projects for Learning at Scale
SAGA: Curricula Optimization
Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework
Scaling Generated Feedback for Novice Teachers by Sustaining Teacher Educators' Expertise: A Design to Train LLMs with Teacher Educator Endorsement of Generated Feedback
Toward large-scale automated scoring of scientific visual models
Using Student Annotated Hashtags and Emojis to Collect Nuanced Affective States
The challenges of using a MOOC to introduce "absolute beginners" to programming on specialized hardware
Scaling Expert Feedback: Two Case Studies
The Visible and Invisible in a MOOC Discussion Forum
Ten Years, Ten Trends: The First Decade of an Affordable At-Scale Degree
Transformative approaches in distance online education: aligning evidence to influence the design of teaching at scale
Superposter behavior in MOOC forums
Grading at scale in earsketch
An Exploration of Automated Grading of Complex Assignments
How to Open Science: Analyzing the Open Science Statement Compliance of the Learning @ Scale Conference
The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses
Answer Watermarking: Using Answer Generation Assistance Tools to Find Evidence of Cheating
Comparing Expert and ChatGPT-authored Guidance Prompts
The Opportunity Count Model: A Flexible Approach to Modeling Student Performance
From One-Size-Fits-All to Individualisation: Redefining MOOCs through Flexible Learning Paths
Designing a learning analytics dashboard for twitter-facilitated teaching
Cultural Relevance in MOOCs: Asking About Socioeconomic Context
The Role of Self-Regulated Learning in the Design, Implementation, and Evaluation of Learning Analytics Dashboards
Analyzing Students' Information Behavior in Generative AI-Supported Small Group Discussions
How Learning Experience Designers Make Design Decisions: The Role of Data, the Reliance on Subject Matter Expertise, and the Opportunities for Data-Driven Support
Community TAs scale high-touch learning, provide student-staff brokering, and build esprit de corps
Using Social Norms to Promote Actions Beyond the Course
Supporting Scalable Data Sharing in Online Education
Advancing the Democratization of Research: Citizen Science
Do Numeric Ratings Impact Peer Reviewers?
A Data-Driven Approach for Inferring Student Proficiency from Game Activity Logs
Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale
Coverage of Course Topics in Learnersourced SQL Exercises
Addressing two problems in deep knowledge tracing via prediction-consistent regularization
BELT: Bluejeans codE Leak deTection
Automatic Feedback Generation on K-12 Students' Data Science Education by Prompting Cloud-based Large Language Models
Evaluating the Relationship Between Course Structure, Learner Activity, and Perceived Value of Online Courses
Understanding ESL Students' Motivations to Increase MOOC Accessibility
Leveraging Past Assignments to Determine If Students Are Using ChatGPT for Their Essays
Intelligent Math Tutor: Problem-Based Approach to Create Cognizance
Machine Learning for Learning at Scale
Replicating MOOC predictive models at scale
Edgeworth: Efficient and Scalable Authoring of Visual Thinking Activities
Learning to Cheat: Quantifying Changes in Score Advantage of Unproctored Assessments Over Time
Exploring Students' Perceptions and Engagement in Hybrid Flexible Courses
Investigating the Use of Hints in Online Problem Solving
Formal Forum Triage: Towards the Strategic Selection of Responses to Student Discussion Forums
Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk
Supporting Instructors in Collaborating with Researchers using MOOClets
Improving problem solving performance in computer-based learning environments through subgoal labels
Using Google Search Trends to Estimate Global Patterns in Learning
Representing and predicting student navigational pathways in online college courses
Proposal and Implementation of an Elderly-oriented User Interface for Learning Support Systems
Inferring Creativity in Visual Programming Environments
Key Phrase Extraction for Generating Educational Question-Answer Pairs
Web of Slides: Automatic Linking of Lecture Slides to Facilitate Navigation
Panel: online learning platforms and data science
A deep learning model for automatic evaluation of academic engagement
Distance learning, OER, and MOOCs: some UK experiences
Content-Neutral Immersive Environments for Cultivating Scalable Camaraderie
Have Your Tickets Ready! Impede Free Riding in Large Scale Team Assignments
Beyond Traditional Metrics: Using Automated Log Coding to Understand 21st Century Learning Online
Addressing Common Analytic Challenges to Randomized Experiments in MOOCs: Attrition and Zero-Inflation
Electronixtutor integrates multiple learning resources to teach electronics on the web
EliRank: A Code Editing History Based Ranking Model for Early Detection of Students in Need
Understanding the Implications of the Use of Intelligent Tutoring Systems in Driver Training
Synchronous at Scale: Investigation and Implementation of a Semi-Synchronous Online Lecture Platform
Influence on Judgements of Learning Given Perceived AI Annotations
A content engagement score for online learning platforms
The unbearable lightness of consent: mapping MOOC providers' response to consent
Towards making block-based programming activities adaptive
BayesRank: A Bayesian Approach to Ranked Peer Grading
Multimodal Deep Learning for Classifying Student-generated Questions in Computer-supported Collaborative Learning
Convincing the Expert: Reducing Algorithm Aversion in Administrative Higher Education Decision-making
Proceedings of the Eleventh ACM Conference on Learning @ Scale, L@S 2024, Atlanta, GA, USA, July 18-20, 2024
Demonstration of CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at Scale
Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions
Explanation Mining
Start of a Science: An Epistemological Analysis of Learning at Scale
What's the Point? How Scores Undermine Written Comments on Open-Ended Work
L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1 - 3, 2022
Learning about Teaching in Low-Resource Indian Contexts
L@S'21: Eighth ACM Conference on Learning @ Scale, Virtual Event, Germany, June 22-25, 2021
Challenge and Potential of Fine Grain, Cross-Institutional Learning Data
Taking Informed Action on Student Activity in MOOCs
Towards adapting to learners at scale: integrating MOOC and intelligent tutoring frameworks
Uncovering Trajectories of Informal Learning in Large Online Communities of Creators
A Visual Approach towards Knowledge Engineering and Understanding How Students Learn in Complex Environments
Towards the Identification of Experts in Informal Learning Portals at Scale
Monitoring MOOCs: which information sources do instructors value?
Assessment of KNOWLA: Knowledge Assembly for Learning and Assessment
Exploring the impact of the default option on student engagement and performance in a statistics MOOC
The potential of interdisciplinary in MOOC research: how do education and computer science intersect?
Towards a Teacher Application to Support Semantic Annotations of Learning Tasks in Cultural Heritage
M-CAFE: Managing MOOC Student Feedback with Collaborative Filtering
Chimeria: Grayscale MOOC: Towards Critical Self-Reflection at Scale
What does enrollment in a MOOC mean?
Teaching Students to Recognize and Implement Good Coding Style
Browser Language Preferences as a Metric for Identifying ESL Speakers in MOOCs
Correlating skill and improvement in 2 MOOCs with a student's time on tasks
Understanding the Relationship Between Students' Learning Outcome and Behavioral Patterns using Touch Trajectories
Identifying Student Misunderstandings using Constructed Responses
Investigating Learning Design Categorization and Learning Behaviour in Computational MOOCS
Semantic Matching Evaluation of User Responses to Electronics Questions in AutoTutor
How Teachers Influence Student Adoption and Effectiveness of a Recommendation System for Algebra
Modeling Student Scheduling Preferences in a Computer-Based Testing Facility
Setting up, Troubleshooting, and Innovating on the Delivery of Online Instruction: A Case Study of an LMS Q&A Forum
Pilot Study to Estimate "Difficult" Area in e-Learning Material by Physiological Measurements
Promoting Student Engagement in MOOCs
Re-Design Classroom into MOOC-like Content With Remote Face-to-Face Sessions During the COVID-19 Pandemic: A Case Study in Graduate School
High-Resolution Course Feedback: Timely Feedback Mechanism for Instructors
Criteria for Video Engagement in a Biology MOOC
Analysis of the Applicability of General Scaling Laws on Course Size, Completion Rates, and Forum Activity in MOOCs
Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems
Students' Achievement of Personalized Learning Objectives in MOOCs
Preventing Keystroke Based Identification in Open Data Sets
Videos for Parents and Child Performance
Prompting for Comprehension: Exploring the Intersection of Explain in Plain English Questions and Prompt Writing
Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring
Comparing MOOC Learners Engagement with Japanese Videos and Text to Speech Generated English Videos
Informing the Design of Collaborative Activities in MOOCs using Actionable Predictions
Crowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy
Achievements for building a learning community
Exploring Cross-Country Prediction Model Generalizability in MOOCs
Learnersourcing: Student-generated Content @ Scale
Examining Sources of Variation in Student Confusion in College Classes
Automated Quality Assessment of Multimodal Mathematical Stories Generated by Generative Artificial Intelligence
Evaluating a Learned Admission-Prediction Model as a Replacement for Standardized Tests in College Admissions
Interplay Among Students' Technical, Social, and Content-Related Participation Patterns in an Online Mathematical Discussion Board
Promoting active learning & leveraging dashboards for curriculum assessment in an OpenEdX introductory CS course for middle school
Designing for Open Learning: Design Principles and Scalability Affordances in Practice
Ready or Not, Here I Computer Science: Trends in Preparatory Work Pursued by Incoming Students in an Online Graduate Computer Science Program
An Automated Feedback System to Support Student Learning in Writing-to-Learn Activities
Personalization at Scale: Making Learning Personally Relevant in a Climate Science MOOC
An Investigation of the Effects of Online Test Strategy on Students' Learning Behaviors
Influential Text-Based Features in Predicting Admission Status of Online Degree Applicants
No Benefit for High-Dosage Time Management Interventions in Online Courses
Mobilizing the Crowd to Create an Open Repository of Research Talks
DeepTutor: towards macro- and micro-adaptive conversational intelligent tutoring at scale
Designing Digital Peer Assessment for Second Language Learning in Low Resource Learning Settings
AlgoPlan: Supporting Planning in Algorithmic Problem-Solving with Subgoal Diagrams
On Air: Benefits of weekly Podcasts accompanying Online Courses
Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines
Using Multiple Accounts for Harvesting Solutions in MOOCs
Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC
Teaching at Scale and Back Again: The Impact of Instructors' Participation in At-Scale Education Initiatives on Traditional Instruction
One Decision Tree is Enough to Make Customization
Evaluating educational interventions at scale
Discrimination of Automatically Generated Questions Used as Formative Practice
Data-Assistive Course-to-Course Articulation Using Machine Translation
Learnersourcing Towards a More Inclusive Academic Culture
Designing MOOCs as Interactive Places for Collaborative Learning
Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation
Elicast: embedding interactive exercises in instructional programming screencasts
A Study about Future Prospects of JupyterHub in MOOCs
What do I need to know? Designing Student Learning Tools that Aid Interaction with Recorded Lecture Content
Learnersourcing at Scale to Overcome Expert Blind Spots for Introductory Programming: A Three-Year Deployment Study on the Python Tutor Website
Second Workshop on Educational A/B Testing at Scale
Achieving "A's for All (as Time and Interest Allow)"
Learning Analytics Dashboard for Problem-based Learning
An active viewing framework for video-based learning
LEGenT: Localizing Errors and Generating Testcases for CS1
The relationship between scientific explanations and the proficiencies of content, inquiry, and writing
Virtualizing face-2-face trainings for training senior professionals: a comparative case study on financial auditors
A Preliminary Look at MOOC-associated Facebook Groups: Prevalence, Geographic Representation, and Homophily
Student trust in e-authentication
Guidance on How Learning at Scale Can be Made More Accessible
What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC
A Novel Framework for Discovering Cognitive Models of Learning
Exploring Disparities in Student and Practitioner Perceptions of Skill Proficiency with SE Gap Awareness
The Role of Social Media in MOOCs: How to Use Social Media to Enhance Student Retention
The Use of SMS and Other Mobile Phone-based Messaging to Support Education at Scale: A Synthesis of Recent Evidence
Multimedia learning principles at scale predict quiz performance
The Prediction of Student First Response Using Prerequisite Skills
SimPal: Towards a Meta-Conversational Framework to Understand Teacher's Instructional Goals for K-12 Physics
Building Reading Comprehension and Knowledge with iSTART: An ITS to Provide Formative Feedback in Reading Instruction at Scale
ProjectLens: Supporting Project-based Collaborative Learning on MOOCs
Suggesting a Log-Based Creativity Measurement for Online Programming Learning Environment
How Online Learners Build Cognitive Presence: Implications from a Machine Learning Approach
Rain classroom: a tool for blended learning with MOOCs
Master's at Scale: Five Years in a Scalable Online Graduate Degree
Behavior Prediction in MOOCs using Higher Granularity Temporal Information
automaTA: Human-Machine Interaction for Answering Context-Specific Questions
Who You Are or What You Do: Comparing the Predictive Power of Demographics vs. Activity Patterns in Massive Open Online Courses (MOOCs)
Managing the Chaos: Approaches to Navigating Discussion Forums for Instructional Staff
Bringing Non-programmer Authoring of Intelligent Tutors to MOOCs
Predicting Student Learning using Log Data from Interactive Simulations on Climate Change
nQuire: Citizens Acting as Scientists in Massive Open Online Learning
Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing
Comb: Giving Feedback to Short Answer at Scale with Human-in-the-Loop Rubric Creation
Demo of Graide: AI Powered Assistive Grading Engine
Mobile Devices for Early Literacy Intervention and Research with Global Reach
Robust Evaluation Matrix: Towards a More Principled Offline Exploration of Instructional Policies
Automating the Assessment of Problem-solving Practices Using Log Data and Data Mining Techniques
Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior
Should College Dropout Prediction Models Include Protected Attributes?
Classifying and visualizing students' cognitive engagement in course readings
Designing a Model for Massive Digital Lifelong Learning
AutoStyle: Toward Coding Style Feedback at Scale
The Civic Mission of MOOCs: Measuring Engagement across Political Differences in Forums
Experimenting Choices of Video and Text Feedback in Authentic Foreign Language Assignments at Scale
Autonomously Generating Hints by Inferring Problem Solving Policies
Learnersourcing of Complex Assessments
In-Video Reuse of Discussion Threads in MOOCs
The Effect of Informing Agency in Self-Directed Online Learning Environments
Viz-R: Using Recency to Improve Student and Domain Models
The Changing Patterns of MOOC Discourse
Social factors that contribute to attrition in MOOCs
Applying and Exploring Bayesian Hypothesis Testing for Large Scale Experimentation in Online Tutoring Systems
Attrition and Achievement Gaps in Online Learning
Revealing Factors Influencing Students' Perceived Fairness: A Case with a Predictive System for Math Learning
Learning Alone Yet Together: Enhancing Between-Learner Social Connectivity at Scale
Intelligent Tutors for Adult Learning at Scale: A Narrative Review
The effects of adaptive learning in a massive open online course on learners' skill development
Scaling Up Mastery Learning with Generative AI: Exploring How Generative AI Can Assist in the Generation and Evaluation of Mastery Quiz Questions
Experimental Design of Learning Analysis Dashboards for Teachers and Learners
Towards Cross-domain MOOC Forum Post Classification
Managing TAs at Scale: Investigating the Experiences of Teaching Assistants in Introductory Computer Science
Writing Reusable Code Feedback at Scale with Mixed-Initiative Program Synthesis
A Probabilistic Approach for Discovering Difficult Course Topics Using Clickstream Data
Examinator v3.0: Cheating Detection in Online Take-Home Exams
Adding a Demographic Lens to Cluster Analysis of Participants in Entry-level Massive Open Online Courses (MOOCs)
Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning
Personalized Adaptive Learning using Neural Networks
Encouraging Critical Thinking Support System: Question Generation and Lecture Slide Recommendations
The impact of the peer review process evolution on learner performance in e-learning environments
Using Information Visualization to Promote Students' Reflection on "Gaming the System" in Online Learning
Nemobot: Crafting Strategic Gaming LLM Agents for K-12 AI Education
Jack Watson: Addressing Contract Cheating at Scale in Online Computer Science Education
Analysis of a Large-Scale Formative Writing Assessment System with Automated Feedback
A Novel Approach for Knowledge State Representation and Prediction
Work-in-progress: program grading and feedback generation with Web-CAT
Student explorer: a tool for supporting academic advising at scale
Source Effects in Online Education
Personalized Lecture Recommendations to Facilitate Bite-Sized Learning
Learnersourcing Modular and Dynamic Multiple Choice Questions
The Distributed Esteemed Endorser Review: A Novel Approach to Participant Assessment in MOOCs
How COVID-19 Affected Computer Science MOOC Learner Behavior and Achievements: A Demographic Study
Online Urbanism: Interest-based Subcultures as Drivers of Informal Learning in an Online Community
Achieving 96% Mastery at National Scale through Inspired Learning and Generative Adaptivity
How do professors format exams?: an analysis of question variety at scale
Inequality: multi-modal equation entry on the web
Epistemic Cognition: A Promising and Necessary Construct for Enriching Large-scale Online Learning Analysis
Differential Assessment, Differential Benefit: Four-year Problem Roulette Analysis of STEM Practice Study
Peer Reviewing Short Answers using Comparative Judgement
Recommending Self-Regulated Learning Strategies Does Not Improve Performance in a MOOC
Open, Collaborative, and AI-Augmented Peer Assessment: Student Participation, Performance, and Perceptions
Accelerated apprenticeship: teaching data science problem solving skills at scale
Course Builder Skill Maps
When Gamification Spoils Your Learning: A Qualitative Case Study of Gamification Misuse in a Language-Learning App
Measuring Students' Performance on Programming Tasks
Use expert knowledge instead of data: generating hints for hour of code exercises
Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics
Impact of Contextual Tips for Auto-Gradable Programming Exercises in MOOCs
Developing Student's Global Competencies at Scale in an Affordable MOOC K12 Outreach Initiative
Co-Teaching Computer Science Across Borders: Human-Centric Learning at Scale
e-Tutor: Scaling Staff Development in the Area of e-Learning Competences
How Mastery Learning Works at Scale
A Scalable Learning Analytics Platform for Automated Writing Feedback
A Blended-Learning Program for Implementing a Rigorous Machine-Learning Curriculum in High-Schools
Instructors Desire Student Activity, Literacy, and Video Quality Analytics to Improve Video-based Blended Courses
Are Students Reading? How Formative Practice Impacts Student Reading Behaviors in Etextbooks
Simulating Climate Change Discussion with Large Language Models: Considerations for Science Communication at Scale
Learn With Friends: The Effects of Student Face-to-Face Collaborations on Massive Open Online Course Activities
The Impact of Mobile Learning on Students' Self-Test Behavior in MOOCs
Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study
Positive Affective Feedback Mechanisms in an Online Mathematics Learning Platform
Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces
Student Engagement in Mobile Learning via Text Message
Peers in MOOCs: Lessons Based on the Education Production Function, Collective Action, and an Experiment
Effects of In-Video Quizzes on MOOC Lecture Viewing
Measuring Difficulty of Introductory Programming Tasks
ForumDash: analyzing online discussion forums
Proceedings of the Tenth ACM Conference on Learning @ Scale, Copenhagen, Denmark, July 20-22, 2023
Examining Student Engagement in Online Learning Platforms for Promoting Exam Readiness and Success in Undergraduate Nursing Education
Graded Team Assignments in MOOCs: Effects of Team Composition and Further Factors on Team Dropout Rates and Performance
Introducing Alexa for E-learning
Artificial Intelligence for Video-based Learning at Scale