The current study examined the relationship between math anxiety and arithmetic performance by focusing on intrusive thoughts experienced during problem solving. Participants (N = 122) performed two-digit addition problems on a verification task. Math anxiety significantly predicted response time and error rate. Further, the extent to which intrusive thoughts impeded calculation mediated the re...

This article integrates research in intelligent tutors with studies of basic student competencies, e.g., problem solving strategies and math fluency (the speed needed to retrieve or calculate answers). It describes the impact of computer software designed to improve either strategic behavior or math fluency. Both competencies are key to improved performance and both help decrease the load on wo...

Question asking is central to the interactions that take place in Computer-Supported Collaborative Learning (CSCL) settings. We investigate questioning and responding practices as interactional processes and explore their roles in online collaborative problem solving. We present our analysis of a 12-minute excerpt of three students doing math problem solving collaboratively in an online chat en...

The alternating iterative algorithm proposed by Kozlov et al. [An iterative method for solving the Cauchy problem for elliptic equations. USSR Comput Math Math Phys 1991;31:45–52] for obtaining approximate solutions to the Cauchy problem in twodimensional anisotropic elasticity is analysed and numerically implemented using the boundary element method (BEM). The illposedness of this inverse boun...

in this paper, we use the concept of graph convergence of h(.,.)-co-accretive mapping introduced by [r. ahmad, m. akram, m. dilshad, graph convergence for the h(.,.)-co-accretive mapping with an application, bull. malays. math. sci. soc., doi: 10.1007/s40840-014-0103-z, 2014$] and define an over-relaxed proximal point method to obtain the solution of a generalized variational inclusion problem ...

To develop a theory of small-group interaction in CSCL settings, we need an approach to analyzing the structure of computer-mediated discourse. Conversation Analysis examines informal face-to-face talk in terms of a fine structure of adjacency pairs, but needs to be adapted to online textual interaction and extended to analyze longer sequences built on adjacency pairs. This paper presents a cas...

Background Machine Reading (MR) aims to make the knowledge contained in the text available in forms that machines can use them for automated processing. That is, machines will learn to read from a few examples and they will read to learn what they need in order to answer questions or perform some reasoning task [1]. Since a domain-independent MR system is difficult to build, the Math Word Probl...

A candidate math model search algorithm was developed at Ames Research Center that determines a recommended math model for the multivariate regression analysis of experimental data. The search algorithm is applicable to classical regression analysis problems as well as wind tunnel strain-gage balance calibration analysis applications. The algorithm compares the predictive capability of differen...

1 Acknowledgements I would first like to thank my advisor Professor Karen Lange. She has quite literally taught me everything I know about computability. She has helped me develop as not only a math researcher, but also a writer and presenter. I would also like to thank NSF grant DMS-1100604 for funding summer research that was instrumental in helping me complete this thesis. I would also like ...