This study is devoted to different types of students’ behavior before they drop an adaptive cours... more This study is devoted to different types of students’ behavior before they drop an adaptive course. The Adaptive Python course at the Stepik educational platform was selected as the case for this study. Student behavior was measured by the following variables: number of attempts for the last lesson, last three lessons solving rate, the logarithm of normed solving time, the percentage of easy and difficult lessons, the number of passed lessons, and total solving time. We applied a standard clustering technique, K-means, to identify student behavior patterns. To determine optimal number of clusters, the silhouette metrics was used. As the result, three types of dropout were identified: “solved lessons”, “evaluated lessons as hard’’, and “evaluated lessons as easy”.
Computational psychometric approach for assessing mathematical problem-solving skills
This paper attempts to model network dynamics of MOOC discussion interactions. It contributes to ... more This paper attempts to model network dynamics of MOOC discussion interactions. It contributes to providing alternatives to conducting null hypothesis significance testing in educational studies. Using data collected from two successive psychology MOOCs in 2014 and 2015, the probabilistic longitudinal network analysis was performed by employing stochastic actor-based models with statistical accuracy. Understanding the mechanisms that drive the dynamics of discussions shed light on the design of a self-generated and learner-supported learning environment to meet the challenges of accommodating a massive and global student body.
This study attempts to make inferences about the mechanisms that drive network change over time. ... more This study attempts to make inferences about the mechanisms that drive network change over time. It adopts simulation investigation for empirical network analysis to examine the patterns and evolution of relationships formed in the context of a massive open online course (MOOC) discussion forum. Four network effects-homophily, reciprocity, transitivity, and preferential attachment-were tested to explain the dynamic mechanisms of interaction in the MOOC forum. Understanding the network dynamics of relationships will allow us to explore how to develop a robust peer-supported learning environment and in turn improve the online learning experience in MOOCs.
This paper is devoted to strong solutions of the first and second initial-boundary problems for n... more This paper is devoted to strong solutions of the first and second initial-boundary problems for non-uniformly parabolic equations. These equations are used in mechanics, glaciology, rheology, image processing as well as for nanosystem modeling. The initial data space for these problems was explicitly described as Orlicz-Sobolev spaces.
The main purpose of this study is to investigate how national ICT development level and individua... more The main purpose of this study is to investigate how national ICT development level and individual ICT usage will influence achievements in reading, mathematics, and science for 4th and 8th grade school students. Large-scale international databases, including TIMSS 2011, PIRLS 2011, and PISA 2012, were employed in the current study. Hierarchical linear models (HLM) were applied to examine both countryand individual-level variables. According to the findings of this study, the national ICT development level is a significant positive predictor for individual academic performance in all three subjects for both 4th grade and 8th grade students, while the national economic development level was controlled for. Such finding indicates a similar trend of the ICT influences for both groups, although there exists a difference in terms of the extent of the relationships. In addition, individual-level ICT use is a significant predictor, even if students' gender and socioeconomic status are controlled for; however, its influence is mixed across different student groups and subjects depending on the ICT usage type.
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Papers by Maxim Skryabin