Abstract is missing.
- A Comparison of Student Skill Knowledge EstimatesElizabeth Ayers, Rebecca Nugent, Nema Dean. 1-10 [doi]
- Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-TaskRyan Baker. 11-20 [doi]
- A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive TutorialsDror Ben-Naim, Michael Bain, Nadine Marcus. 21-30 [doi]
- Detecting Symptoms of Low Performance Using Production RulesJavier Bravo Agapito, Alvaro Ortigosa. 31-40 [doi]
- Predicting Students Drop Out: A Case StudyGerben Dekker, Mykola Pechenizkiy, Jan Vleeshouwers. 41-50 [doi]
- Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on LearningMingyu Feng, Joseph Beck, Neil T. Heffernan. 51-60 [doi]
- Does Self-Discipline impact students knowledge and learning?Yue Gong, Dovan Rai, Joseph Beck, Neil T. Heffernan. 61-70 [doi]
- Consistency of Students Pace in Online LearningArnon Hershkovitz, Rafi Nachmias. 71-80 [doi]
- Student Consistency and Implications for Feedback in Online Assessment SystemsTara M. Madhyastha, Steven L. Tanimoto. 81-90 [doi]
- Edu-mining for Book Recommendation for PupilsRyo Nagata, Keigo Takeda, Koji Suda, Jun ichi Kakegawa, Koichiro Morihiro. 91-100 [doi]
- Subspace Clustering of Skill Mastery: Identifying Skills that Separate StudentsRebecca Nugent, Elizabeth Ayers, Nema Dean. 101-110 [doi]
- Determining the Significance of Item Order In Randomized Problem SetsZachary A. Pardos, Neil T. Heffernan. 111-120 [doi]
- Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain ModelsPhilip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinger. 121-130 [doi]
- Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning EnvironmentsDavid Prata, Ryan Baker, Evandro Costa, Carolyn Penstein Rosé, Yue Cui. 131-140 [doi]
- Using Dirichlet priors to improve model parameter plausibilityDovan Rai, Yue Gong, Joseph Beck. 141-150 [doi]
- Reducing the Knowledge Tracing SpaceSteven Ritter, Thomas K. Harris, Tristan Nixon, Daniel Dickison, R. Charles Murray, Brendon Towle. 151-160 [doi]
- Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutorVasile Rus, Mihai C. Lintean, Roger Azevedo. 161-170 [doi]
- Automatic Concept Relationships Discovery for an Adaptive E-courseMarián Simko, Mária Bieliková. 171-180 [doi]
- An unsupervised, frequency-based metric for selecting hints in an MDP-based tutorJohn C. Stamper, Tiffany Barnes. 181-190 [doi]
- Recommendation in Higher Education Using Data Mining TechniquesCésar Vialardi Sacín, Javier Bravo Agapito, Leila Shafti, Alvaro Ortigosa. 191-199 [doi]
- an Argument Learning Environment Using Agent-Based ITS (ALES)Safia Abbas, Hajime Sawamura. 200-209 [doi]
- A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration FrameworksAntonio R. Anaya, Jesus Boticario. 210-219 [doi]
- Dimensions of Difficulty in Translating Natural Language into First-Order LogicDave Barker-Plummer, Richard Cox, Robert Dale. 220-229 [doi]
- Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring SystemsSuleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord. 230-239 [doi]
- Back to the future: a non-automated method for constructing transfer modelsMing Feng, Joseph Beck. 240-249 [doi]
- How do Students Organize Personal Information Spaces?Sharon Hardof-Jaffe, Arnon Hershkovitz, Hama Abu-Kishk, Ofer Bergman, Rafi Nachmias. 250-258 [doi]
- Improving Student Question ClassificationCecily Heiner, Joseph L. Zachary. 259-268 [doi]
- Why, What, and How to Log? Lessons from LISTENJack Mostow, Joseph Beck. 269-278 [doi]
- Process Mining Online Assessment DataMykola Pechenizkiy, Nikola Trcka, Ekaterina Vasilyeva, Wil M. P. van der Aalst, Paul De Bra. 279-288 [doi]
- Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturerJosé Ramón Quevedo, Elena Montañés. 289-298 [doi]
- Collaborative Data Mining Tool for EducationCristóbal Romero, Sebastián Ventura, Enrique García, Carlos de Castro, Miguel Gea. 299-308 [doi]
- Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic ProgrammingAmelia Zafra, Sebastián Ventura. 309-318 [doi]
- Visualization of Differences in Data Measuring Mathematical SkillsLukás Zoubek, Michal Burda. 319-324 [doi]