yusuke1997/dblp-id-title huggingface dataset:
Measuring and Maximizing the Effectiveness of Honor Codes in Online Courses
Interpretable Personalized Knowledge Tracing and Next Learning Activity Recommendation
Secure Education and Learning Research at Scale with OpenStax Kinetic
Supporting Peer Instruction with Evidence-Based Online Instructional Templates
Student Perceptions of Social Support in the Transition to Emergency Remote Instruction
Analysis of Grading Times of Short Answer Questions
Is GPT-4 Alone Sufficient for Automated Essay Scoring?: A Comparative Judgment Approach Based on Rater Cognition
Forums, Feedback, and Two Kinds of AI: A Selective History of Learning @ Scale
Newly Created Assignments and The First Repository Effect on Inter-Semester Plagiarism
Who downloads online content and why?
Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education
Docent: transforming personal intuitions to scientific hypotheses through content learning and process training
Automatically Learning to Teach to the Learning Objectives
Amazon Alexa Skills as a Novel Modality for In-service Professional Micro-Development (WIP)
VizCode: A Practical Real-time Tool for In-Class Computer Programming Tutoring
Modeling Temporal Association of Cognition-Topic in MOOC Discussion to Track Learners' Cognitive Engagement Dynamics
A Modern Student Experience inSystems Programming
Peer-Grading at Scale with Rank Aggregation
Generating Response-Specific Elaborated Feedback Using Long-Form Neural Question Answering
Learning Transfer: Does It Take Place in MOOCs? An Investigation into the Uptake of Functional Programming in Practice
PEER Support In MOOCs: The Role Of Social Presence
Identifying Preparatory Courses that Predict Student Success in Quantitative Subjects
A Novel Self-Paced Model for Teaching Programming
GPTeach: Interactive TA Training with GPT-based Students
Challenges of Online Learning in Nigeria
Data-Driven Feedback Generator for Online Programing Courses
Generating Language Activities in Real-Time for English Learners using Language Muse
Teaching the Masses on Twitch: An Initial Exploration of Educational Live-Streaming
Squeezing the limeade: policies and workflows for scalable online degrees
The Synchronicity Paradox in Online Education
Educator and Student Perspectives on the Impact of Generative AI on Assessments in Higher Education
Student Life at Scale: Humanizing the Student Experience at Scale through Belonging, Engagement, and Community
Does Online Q&A Activity Vary Based on Topic: A Comparison of Technical and Non-technical Stack Exchange Forums
Access to Massive Open Online Labs through a MOOC
Characterizing Amateur Tutoring Behavior on a Large Online Learning Platform
Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research
Forming beneficial teams of students in massive online classes
Automatic RNN Cell Design for Knowledge Tracing using Reinforcement Learning
Toward the Evaluation of Educational Videos using Bayesian Knowledge Tracing and Big Data
Picturing One's Self: Camera Use in Zoom Classes during the COVID-19 Pandemic
Technology-Based Instructional Strategies Show Promise in Improving Self-Regulated Learning Skills at Broad-Access Postsecondary Institutions
Initial experiences with small group discussions in MOOCs
Funding Learning at Scale
An Automated Grading/Feedback System for 3-View Engineering Drawings using RANSAC
Predict and Intervene: Addressing the Dropout Problem in a MOOC-based Program
MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence
A Machine Learning Approach for Understanding the Educational Foci and Technical Solutions of AIED
$1 Conversational Turn Detector: Measuring How Video Conversations Affect Student Learning in Online Classes
Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future
Analyzing K-12 Blended MOOC Learning Behaviors
Automatic Question Generation and the SmartStart Application
A Scalable Architecture for Conducting A/B Experiments in Educational Settings
Structured Knowledge Tracing Models for Student Assessment on Coursera
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
An Examination of Unofficial Course Reviews in a Graduate Program at Scale
The Challenges of Evolving Technical Courses at Scale: Four Case Studies of Updating Large Data Science Courses
Teaching recommender systems at large scale: evaluation and lessons learned from a hybrid MOOC
Collaborate and Listen: International Research Collaboration at Learning @ Scale
Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC
Combining adaptivity with progression ordering for intelligent tutoring systems
Toward CS1 at scale: building and testing a MOOC-for-credit candidate
Efficient Transformer-based Knowledge Tracing for a Personalized Language Education Application
AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning
Practical Learning Research at Scale
Function Names: Quantifying the Relationship Between Identifiers and Their Functionality to Improve Them
Does Jill Watson Increase Teaching Presence?
Analyzing Patterns in Student SQL Solutions via Levenshtein Edit Distance
Teaching and Learning Programming with Linux using In-Browser Client-Side Web Technologies: Exploring the Key Features for Achieving Systems and Tools Scalability
Pathways: Exploring Academic Interests with Historical Course Enrollment Records
Collaboration and Teamwork on a MOOC Platform: A Toolset
Improving Student Modeling Through Partial Credit and Problem Difficulty
Graders as Meta-Reviewers: Simultaneously Scaling and Improving Expert Evaluation for Large Online Classrooms
Using NLP to Quantify Program Decomposition in CS1
Learning at Scale: Using an Evidence Hub To Make Sense of What We Know
PeerStudio: Rapid Peer Feedback Emphasizes Revision and Improves Performance
Demo of JARET: A.I. Powered Web App for Goal Review and Time Management
Towards Scalable Vocabulary Acquisition Assessment with BERT
Roles of Joining Time, Technology Use, and Social Interaction in Sustaining Student Participation in an Online Mathematics Discussion Board
Exploring the Effects of Lightweight Social Incentives on Learner Performance in MOOCs
Connecting the Dots: Predicting Student Grade Sequences from Bursty MOOC Interactions over Time
Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design
Two Stances, Three Genres, and Four Intractable Dilemmas for the Future of Learning at Scale
Integrating Dynamic Supports into an Equity Teaching Simulation to Promote Equity Mindsets
Investigating the Impact of Skill-Related Videos on Online Learning
Facilitating MOOCs learning through weekly meet-up: a case study in Taiwan
Towards Improving Students' Forum Posts Categorization in MOOCs and Impact on Performance Prediction
Forecasting Undergraduate Majors Using Academic Transcript Data
Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study
Enhancing Knowledge Tracing Efficacy with Expert-defined Graphs: A Case Study in Introductory Physics Classes
Developing an Intervention to Advance Learning At Scale
The Relationship Between COVID-19 Severity and Computer Science MOOC Learner Achievement: A Preliminary Analysis
Demographic differences in how students navigate through MOOCs
Understanding Learner Behavior Through Learning Design Informed Learning Analytics
How video production affects student engagement: an empirical study of MOOC videos
Effective Pedagogy at Scale: Social Learning and Citizen Inquiry
Comparative Analysis of the Feature Extraction Approaches for Predicting Learners Progress in Online Courses: MicroMasters Credential versus Traditional MOOCs
Lessons Learned from a Research-to-Practice Scale-Up of an Adaptive Math Learning Platform
Context-Embedded Knowledge Tracing and Latent Concept Detection in a Reading Game
Teacher-informed Expansion of an Idea Detection Model for a Knowledge Integration Assessment
Expert Evaluation of 300 Projects per Day
Refocusing the lens on engagement in MOOCs
Increasing Available Attempts: Changes in Student Correctness on Formative Introductory Physics Problems
Introducing Data Wrangling using Graphical Subgoals - Findings from an e-Learning Study
Bayesian Ordinal Peer Grading
Pilot study on optimal task scheduling in learning
What do students at distance universities think about AI?
Structure and messaging techniques for online peer learning systems that increase stickiness
Due dates in MOOCs: does stricter mean better?
An Evidence-Based Learner Model for Supporting Activities in Robotics
A Framework for Topic Generation and Labeling from MOOC Discussions
Can a diversity statement increase diversity in MOOCs?
Student Use of Course Reviews at Scale
Laugh at Your Own Pace: Basic Performance Evaluation of Language Learning Assistance by Adjustment of Video Playback Speeds Based on Laughter Detection
The [email protected] Eight Years: A Review of Papers and Authors at Learning @ Scale
Contemporary online course design recommendations to support women's cognitive development
The Effectiveness of Multiple-Choice Type Flashcards for the Identification of Fish Species
EdTech and Girls Education in Low- and Middle-Income Countries: Which Intervention Types Have the Greatest Impact on Learning Outcomes for Girls?
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails
L@S'20: Seventh ACM Conference on Learning @ Scale, Virtual Event, USA, August 12-14, 2020
Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation
Talkabout: small-group discussions in massive global classes
Utilizing Neural Network to Predict Students Aptitudes for Teaching Assistant Roles
Leveraging Human Feedback to Scale Educational Datasets: Combining Crowdworkers and Comparative Judgement
Proceedings of the Third ACM Conference on Learning @ Scale, L@S 2016, Edinburgh, Scotland, UK, April 25 - 26, 2016
Applying the Behavior Change Technique Taxonomy from Public Health Interventions to Educational Research
Longitudinal trends in sentiment polarity and readability of an online masters of computer science course
Benefit of Gamification for Persistent Learners: Propensity to Replay Problems Moderates Algebra-Game Effectiveness
Incorporating Explainable Learning Analytics to Assist Educators with Identifying Students in Need of Attention
Understanding Reading Behaviors of Middle School Students
Teamscope: Scalable Team Evaluation via Automated Metric Mining for Communication, Organization, Execution, and Evolution
Towards Equal Opportunities in MOOCs: Affirmation Reduces Gender & Social-Class Achievement Gaps in China
Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions
Introducing an Open-source Adaptive Tutoring System to Accelerate Learning Sciences Experimentation
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, London, UK, June 26-28, 2018
Brain Points: A Deeper Look at a Growth Mindset Incentive Structure for an Educational Game
Demographic Differences in a Growth Mindset Incentive Structure for Educational Games
Examinator v4.0 : Cheating Detection in Online Take-Home Exams
Generation and Assessment of Multiple-Choice Questions from Video Transcripts using Large Language Models
TAPS: A MOSS Extension for Detecting Software Plagiarism at Scale
Digital Access, Usage, and Educational Outcomes: Evidence from Vietnam
Do professors matter?: using an a/b test to evaluate the impact of instructor involvement on MOOC student outcomes
LiveDataLab: A Cloud-Based Platform to Facilitate Hands-on Data Science Education at Scale
Teaching C Programming Interactively at Scale Using Taskgrader: an Open-source Autograder Tool
Measuring Cultural Dimensions of Learning in Online Courses
CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming
Varying Impacts: The Role of Student Self-Evaluation in Navigating Learning Analytics
Quality Agreement on Learnersourced Multiple Choice Questions
Clustering-Based Active Learning for CPSGrader
Locabulary: A Context Sensitive Mixed Reality Flashcard Alternative for Second Language Learning
A Proposed Model of Learners' Acceptance and Trust of Pedagogical Conversational AI
Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest
Using Chatbots to Teach Languages
Learnersourcing Subgoal Hierarchies of Code Examples
Supporting Learners' Self-regulation in LMOOCs: What Have We Done and How Far We Can Go?
Alumni & Tenured Participants in MOOCs: Analysis of Two Years of MOOC Discussion Channel Activity
A Constructionist Toolkit for Learning Elementary Web Development at Scale
Incorporating Habitats in Conceptual Models and Agent-Based Simulations: Expanding the Virtual Ecological Research Assistant (VERA)
JackMarker with GitDown: A Framework to Counter Plagiarism at Scale
On the Acceptance and Usefulness of Personalized Learning Objectives in MOOCs
Affordable Degrees at Scale: New Phenomenon or New Hype?
Are You Listening?: Social Roles and Perceived Value of Statements in Online Learning Communities
Can Feedback based on Predictive Data Improve Learners' Passing Rates in MOOCs? A Preliminary Analysis
DevCoach: Supporting Students in Learning the Software Development Life Cycle at Scale with Generative Agents
Runestone interactive: tools for creating interactive course materials
Managing and analyzing student learning data: a python-based solution for edX
Does STEM Success Start Young? Exploring Higher Ed Students' Early Academic Experiences in Science and Math at Scale
Detecting Learners' Hint Inquiry Behaviors in e-Learning Environment by using Facial Expressions
Scaling Up Data Science Course Projects: A Case Study
Towards Scalable Gamified Assessment in Support of Collaborative Problem-Solving Competency Development in Online and Blended Learning
Human Languages in Source Code: Auto-Translation for Localized Instruction
Comparing Feedback from Large Language Models and Instructors: Teaching Computer Science at Scale
Learning Engineering: The Art of Applying Learning Science at Scale
Long-Term Peer Reviewing Effort is Anti-Reciprocal
Revisiting Transparency and Fairness in Algorithmic Systems Through the Lens of Public Education and Engagement
Students, systems, and interactions: synthesizing the first four years of learning@scale and charting the future
MOOClets: A Framework for Dynamic Experimentation and Personalization
Effectiveness of Crowd-Sourcing On-Demand Assistance from Teachers in Online Learning Platforms
Understanding Learners' General Perception Towards Learning with MOOC Classmates: An Exploratory Study
Classifying Tutor Discursive Moves at Scale in Mathematics Classrooms with Large Language Models
PARQR: Augmenting the Piazza Online Forum to Better Support Degree Seeking Online Masters Students
Supporting Online Collaborative Work at Scale: A Mixed-Methods Study of a Learning Analytics Tool
Exploring the utility of response times and wrong answers for adaptive learning
D.TRUMP: Data-mining Textual Responses to Uncover Misconception Patterns
Designing Videos with Pedagogical Strategies: Online Students' Perceptions of Their Effectiveness
Metaphors for Learning and MOOC Pedagogies
Educational Nonlinear Stories with Twine
Seeking Exemplars in the Wild: Exploring How Students Find Design Examples to Support Personalized Learning
Scaling Up Access to the Hidden Curriculum: A Design Methodology for Creating Undergraduate Mentoring Guides
Divide and correct: using clusters to grade short answers at scale
The phoenix corps: a graphic novel for scalable online learning research
Elice: An online CS Education Platform to Understand How Students Learn Programming
Effective Sampling for Large-scale Automated Writing Evaluation Systems
Proceedings of the Sixth ACM Conference on Learning @ Scale, L@S 2019, Chicago, IL, USA, June 24-25, 2019
Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems
Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop
First (2014) ACM Conference on Learning @ Scale, L@S 2014, Atlanta, GA, USA, March 4-5, 2014
Toward Personalizing Students' Education with Crowdsourced Tutoring
Handwritten Code Recognition for Pen-and-Paper CS Education
OARS: exploring instructor analytics for online learning
MOOC Dropout Prediction: How to Measure Accuracy?
Developing Digital Clinical Simulations for Large-Scale Settings on Diversity, Equity, and Inclusion: Design Considerations for Effective Implementation at Scale
Macro Data for Micro Learning: Developing the FUN! Tool for Automated Assessment of Learning
Using a Planning Prompt Survey to Encourage Early Completion of Homework Assignments
A multiplayer online game for teaching software engineering practices
Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models
Reframing Authority: A Computational Measure of Power-Affirming Feedback on Student Writing
Predicting the difficulty of automatic item generators on exams from their difficulty on homeworks
Towards Capturing Learners Sentiment and Context
Glanceable code history: visualizing student code for better instructor feedback
Short answer scoring with GPT-4
Multiplatform MOOC Analytics: Comparing Global and Regional Patterns in edX and Edraak
Heterogeneity of Treatment Effects of a Video Recommendation System for Algebra
Open system for video learning analytics
An automatic knowledge graph construction system for K-12 education
WOSView Demo: A Tool to Explore the Web of Slides
Observing URL Sharing Behaviour in Massive Online Open Courses
Gradescope: A Fast, Flexible, and Fair System for Scalable Assessment of Handwritten Work
HAROR: A System for Highlighting and Rephrasing Open-Ended Responses
A Demonstration of ANALYSE: A Learning Analytics Tool for Open edX
Student Code Trajectories in an Introductory Programming MOOC
CROWDLEARNING: Towards Collaborative Problem-Posing at Scale
Large-Scale and Versatile Deployment of Biology Cloud Labs in Schools through Teacher Driven Curricula Design
HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks
Co-Evolution of Human Capabilities and Intelligent Technologies for Digital Education
Game Theory based Peer Grading Mechanisms for MOOCs
Peripheral and Semi-Peripheral Community: A New Design Challenge for Learning at Scale
When Many Learners Interact: Towards Relational Processes at Scale
Modeling programming knowledge for mentoring at scale
Employing Peer Review to Evaluate the Quality of Student Generated Content at Scale: A Trust Propagation Approach
Open-DLAs: An Open Dashboard for Learning Analytics
Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution
Deep Neural Networks and How They Apply to Sequential Education Data
Feature Factory: Crowd Sourced Feature Discovery
Code hunt: gamifying teaching and learning of computer science at scale
Where's the Learning in Education Crowdsourcing?
TELLab: An Experiential Learning Tool for Psychology
Improving the Peer Assessment Experience on MOOC Platforms
New wine in no bottles: immersive, personalized ubiquitous learning
Predicting Applicant Admission Status for Georgia Tech's Online Master's in Analytics Program
Optimizing Mentor-student Communication Using LLM-Based Automated Labeling Information States
Adaptive Learning using Finite State Machine Logic
Apples to Apples: Differences in Viewer Retention When Longer Content is Chopped into Smaller Bites
A Playful Game Changer: Fostering Student Retention in Online Education with Social Gamification
Deep Knowledge Tracing On Programming Exercises
Pass the Idea Please: The Relationship between Network Position, Direct Engagement, and Course Performance in MOOCs
Learning the Features Used To Decide How to Teach
How Much and for Whom?: A Multi-Wave Study of the Impact of Self-Regulated Learning Scaffolds on MOOC Student Academic Performance
Classification of Discussions in MOOC Forums: An Incremental Modeling Approach
Factor Analysis Reveals Student Thinking using the Mechanics Reasoning Inventory
Evaluating the 'Student' Experience in MOOCs
Causal Inference in Higher Education: Building Better Curriculums
Detecting Contract Cheaters in Online Programming Classes with Keystroke Dynamics
How Civil are Comments on TikTok's Educational Videos? Insights for Learning at Scale
Problem Solving Analytics (PSA) in the Web-Based Office Simulation LUCA
How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community
Towards Automated Code Assessment with OpenJupyter in MOOCs
With or Without EU: Navigating GDPR Constraints in Human Subjects Research in an Education Environment
Learning about Learning at Scale: Methodological Challenges and Recommendations
How much randomization is needed to deter collaborative cheating on asynchronous exams?
Towards domain general detection of transactive knowledge building behavior
Problems Before Solutions: Automated Problem Clarification at Scale
Supporting answerers with feedback in social Q&A
Engaging Students with Extra Tasks: Motivational Design and Student-Generated Improvements
Analyzing Student Reflection Sentiments and Problem-Solving Procedures in MOOCs
LEDA: A Learning Analytics Based Framework to Analyze Remote Labs Interaction
Effects of automated interventions in programming assignments: evidence from a field experiment
Predicting Students' Performance: Incremental Interaction Classifiers
WPSS: dropout prediction for MOOCs using course progress normalization and subset selection
What My Little Pony Can Teach Us About Interest-Driven Learning
Automatic Assessment of Complex Assignments using Topic Models
Beetle-Grow: An Effective Intelligent Tutoring System for Data Collection
Technology-Enhanced Learning: Evidence-based Improvement
Using Android Wear for Avoiding Procrastination Behaviours in MOOCs
Exploring Design Choices in Data-driven Hints for Python Programming Homework
Developing a Prototype to Scale up Digital Support for Online Assessment Design
Blended Learning in Indian Colleges with Massively Empowered Classroom
Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges
RLens: A Computer-aided Visualization System for Supporting Reflection on Language Learning under Distributed Tutorship
Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research
RECIPE: How to Integrate ChatGPT into EFL Writing Education
A system for sending the right hint at the right time
Using the YouTube Video Style in a MOOC: (Re-)Testing the Effect of Visual Experience in a Field-Experiment
Collaborative Annotation: Links to Formative Assessment and Issues of Scale for Pedagogy
Studying Learning at Scale with the ASSISTments TestBed
Assessing Function Names and Quantifying the Relationship Between Identifiers and Their Functionality to Improve Them
A Crowdsourcing Approach to Collecting Tutorial Videos - Toward Personalized Learning-at-Scale
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions
Transformative Approach to Fairness and Transparency in Classroom Participation Assessment
Tracking progress: predictors of students' weekly achievement during a circuits and electronics MOOC
Assessing Problem-Solving Process At Scale
ACCE: automatic coding composition evaluator
Uncovering hidden engagement patterns for predicting learner performance in MOOCs
Full Engagement Educational Framework: A Practical Experience for a MicroMaster
A Statistical Framework for Predictive Model Evaluation in MOOCs
Profiling MOOC Course Returners: How Does Student Behavior Change Between Two Course Enrollments?
Toward a large-scale open learning system for data management
M-Powering Teachers: Natural Language Processing Powered Feedback Improves 1: 1 Instruction and Student Outcomes
Beetle-Grow: An Effective Intelligent Tutoring System to Support Conceptual Change
Codemotion: expanding the design space of learner interactions with computer programming tutorial videos
Assigning videos to textbooks at appropriate granularity