Analyzing process data from problem-solving items with n-grams: Insights from a computer-based large-scale assessment
Q He, M Von Davier - Handbook of research on technology tools for …, 2016 - igi-global.com
This chapter draws on process data recorded in a computer-based large-scale program, the
Programme for International Assessment of Adult Competencies (PIAAC), to address how …
Programme for International Assessment of Adult Competencies (PIAAC), to address how …
Analyzing the temporal evolution of students' behaviors in open-ended learning environments
Metacognition and self-regulation are important for developing effective learning in the
classroom and beyond, but novice learners often lack effective metacognitive and self …
classroom and beyond, but novice learners often lack effective metacognitive and self …
Integrating model-driven and data-driven techniques for analyzing learning behaviors in open-ended learning environments
JS Kinnebrew, JR Segedy… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Research in computer-based learning environments has long recognized the vital role of
adaptivity in promoting effective, individualized learning among students. Adaptive …
adaptivity in promoting effective, individualized learning among students. Adaptive …
Identifying productive inquiry in virtual labs using sequence mining
Virtual labs are exploratory learning environments in which students learn by conducting
inquiry to uncover the underlying scientific model. Although students often fail to learn …
inquiry to uncover the underlying scientific model. Although students often fail to learn …
Predictive feature generation and selection using process data from PISA interactive problem-solving items: An application of random forests
The Programme for International Student Assessment (PISA) introduced the measurement of
problem-solving skills in the 2012 cycle. The items in this new domain employ scenario …
problem-solving skills in the 2012 cycle. The items in this new domain employ scenario …
[PDF][PDF] Data driven automatic feedback generation in the iList intelligent tutoring system
Based on our empirical studies of effective human tutoring, we developed an Intelligent
Tutoring System, iList, that helps students learn linked lists, a challenging topic in Computer …
Tutoring System, iList, that helps students learn linked lists, a challenging topic in Computer …
Do individual characteristics affect online learning behaviors? An analysis of learners sequential patterns
Online learning systems allow learners to freely access learning contents and record their
interactions throughout their engagement with the content. By using data mining techniques …
interactions throughout their engagement with the content. By using data mining techniques …
Temporally Coherent Clustering of Student Data.
The extraction of student behavior is an important task in educational data mining. A
common approach to detect similar behavior patterns is to cluster sequential data. Standard …
common approach to detect similar behavior patterns is to cluster sequential data. Standard …
Sequential pattern mining in educational data: The application context, potential, strengths, and limitations
Y Zhang, L Paquette - … , and Tendencies: Proactive Education based on …, 2023 - Springer
Increasingly, researchers have suggested the benefits of temporal analyses to improve our
understanding of the learning process. Sequential pattern mining (SPM), as a pattern …
understanding of the learning process. Sequential pattern mining (SPM), as a pattern …
Evolutionary Clustering of Apprentices' Self-Regulated Learning Behavior in Learning Journals
Learning journals are increasingly used in vocational education to foster self-regulated
learning and reflective learning practices. However, for many apprentices, documenting …
learning and reflective learning practices. However, for many apprentices, documenting …