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Both gaming the system (taking advantage of the system's feedback and help to succeed in the tutor without learning the material) and being off-task (engaging in behavior that does not involve the system or the learning task) have been previously shown to be associated with poorer learning. In this paper we investigate two hypotheses about the mechanisms(More)
The purpose of this study is to identify and examine learning processes, based on data extracted from log files, which document the learners' action within an online learning environment. For this purpose, log files of four elementary school students, studied with a science Web-based module, were examined and analysed. A Learnogram-graphical representation(More)
Work in recent years has shown that a student's goals, attitudes, and beliefs towards learning impact their level of engagement during learning, and that engagement during learning plays a key role in learning outcomes. In this paper, we investigate the mechanisms through which a student's goals, attitudes, and beliefs impact the student's engaged and(More)
In recent years, student modeling has been extended from predicting future student performance on the skills being learned in a tutor to predicting a student's preparation for future learning (PFL). These methods have predicted PFL from a combination of features of students' behaviors related to meta-cognition. However, these models have achieved only(More)
We present a new method for analyzing a student's learning over time, for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model which assesses the probability that a student learned a skill or concept at a specific time during learning (Baker, Goldstein,(More)
In this paper, we study the relationship between goal orientation within a science inquiry learning environment for middle school students and carelessness, i.e., not demonstrating an inquiry skill despite knowing it. Carelessness is measured based on a machine-learned model. We find, surprisingly, that carelessness is higher for students with strong(More)
This paper describes a case study of the behavior of an online learner by visualizing log file records using a tool (learnogram) we developed. In this study, we chose a simple yet very intensive fully-online learning environment (for learning Hebrew vocabulary) and one student who uses it. With the help of brainstorming meetings with three education(More)
The evolving knowledge society and the emergence of information and communication technologies in our lives present complex challenges for educators and policymakers worldwide. Education requires adjustments to these changes in learning and teaching, in the shattering of boundaries, as well as in providing new meaning to emerging educational paradigms(More)