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IEEE Transactions on Learning Technologies, Volume 12
Volume 12, Number 1, January - March 2019
- Andy Smith, Samuel P. Leeman-Munk, Angi Shelton
, Bradford W. Mott
A Multimodal Assessment Framework for Integrating Student Writing and Drawing in Elementary Science Learning. 3-15 - Élise Lavoué, Baptiste Monterrat, Michel C. Desmarais, Sébastien George
Adaptive Gamification for Learning Environments. 16-28 - Bo Sun
Automatic Question Tagging with Deep Neural Networks. 29-43 - Weiyu Chen
Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors. 44-58 - Ed Fincham
From Study Tactics to Learning Strategies: An Analytical Method for Extracting Interpretable Representations. 59-72 - Jian-Jie Dong
Implementing On-Call-Tutor System for Facilitating Peer-Help Activities. 73-86 - Ramkumar Rajendran
Personalized Affective Feedback to Address Students' Frustration in ITS. 87-97 - Achilleas P. Achilleos
SciChallenge: A Social Media Aware Platform for Contest-Based STEM Education and Motivation of Young Students. 98-111 - José A. Ruipérez-Valiente
Using Machine Learning to Detect 'Multiple-Account' Cheating and Analyze the Influence of Student and Problem Features. 112-122 - Robert A. Ellis
When Does Collaboration Lead to Deeper Learning? Renewed Definitions of Collaboration for Engineering Students. 123-132 - Josefina Hernández-Correa
MOOCs as a Remedial Complement: Students' Adoption and Learning Outcomes. 133-141
Volume 12, Number 2, April - June 2019
- Cristóbal Romero
Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance. 145-147 - Jui-Long Hung
Improving Predictive Modeling for At-Risk Student Identification: A Multistage Approach. 148-157 - Anthony F. Botelho
Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning. 158-170 - David Monllaó Olivé
A Quest for a One-Size-Fits-All Neural Network: Early Prediction of Students at Risk in Online Courses. 171-183 - Niki Gitinabard
How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses. 184-197 - Alberto Cano
Interpretable Multiview Early Warning System Adapted to Underrepresented Student Populations. 198-211 - Georgios Kostopoulos
Multiview Learning for Early Prognosis of Academic Performance: A Case Study. 212-224 - Fernando Jiménez
Predicting the Risk of Academic Dropout With Temporal Multi-Objective Optimization. 225-236 - Agoritsa Polyzou
Feature Extraction for Next-Term Prediction of Poor Student Performance. 237-248 - David Bañeres
An Early Feedback Prediction System for Learners At-Risk Within a First-Year Higher Education Course. 249-263 - Alvaro Ortigosa
From Lab to Production: Lessons Learnt and Real-Life Challenges of an Early Student-Dropout Prevention System. 264-277 - Han Wan
Pedagogical Intervention Practices: Improving Learning Engagement Based on Early Prediction. 278-289 - Jordi Petit, Salvador Roura, Josep Carmona, Jordi Cortadella
Corrections to "Jutge.org: Characteristics and Experiences". 290
Volume 12, Number 3, July - September 2019
- Wu-Yuin Hwang
An Investigation of the Effects of Measuring Authentic Contexts on Geometry Learning Achievement. 291-302 - Alysson Diniz dos Santos
Approaching Sustainability Learning Via Digital Serious Games. 303-320 - Almaas A. Ali
Collaborative Educational Environments Incorporating Mixed Reality Technologies: A Systematic Mapping Study. 321-332 - Abelardo Pardo
Exploring Student Interactions With Preparation Activities in a Flipped Classroom Experience. 333-346 - Inge Molenaar
How Teachers Make Dashboard Information Actionable. 347-355 - Joshua Evan Auerbach
Inquiry-Based Learning With RoboGen: An Open-Source Software and Hardware Platform for Robotics and Artificial Intelligence. 356-369 - Matjaz Kljun
Persuasive Technologies in m-Learning for Training Professionals: How to Keep Learners Engaged With Adaptive Triggering. 370-383 - Pedro Manuel Moreno-Marcos
Prediction in MOOCs: A Review and Future Research Directions. 384-401 - Pedro Gabriel Fonteles Furtado
Reducing Cognitive Load During Closed Concept Map Construction and Consequences on Reading Comprehension and Retention. 402-412 - Omaima Almatrafi
Systematic Review of Discussion Forums in Massive Open Online Courses (MOOCs). 413-428 - Brian An
The Evaluation of a Serious Game to Improve Cross-Cultural Competence. 429-441
Volume 12, Number 4, October - December 2019
- Pedro Manuel Moreno-Marcos
A Learning Analytics Methodology for Understanding Social Interactions in MOOCs. 442-455 - Livio Bioglio, Sara Capecchi
A Social Network Simulation Game to Raise Awareness of Privacy Among School Children. 456-469 - Ricardo Conejo
Automated Assessment of Complex Programming Tasks Using SIETTE. 470-484 - Valtemir A. Silva
Automatic Question Classifiers: A Systematic Review. 485-502 - Horace Ho-Shing Ip, Chen Li
Design and Evaluate Immersive Learning Experience for Massive Open Online Courses (MOOCs). 503-515 - Katerina Mangaroska
Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning. 516-534
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