This study investigates the issue of the goodness of fit of different skills assessment models using both synthetic and real data. Synthetic data is generated from the different skills assessment models. The results show wide differences of performances between the skills assessment models over synthetic data sets. The set of relative performances…

This contribution aims at (1) discussing the characteristics of collecting, filing and storing data to have a databank of oral interactions between university students whose main objective is the learning of a second language through teletandem; and (2) defining the steps for further collections and storage. Our data are Skype sessions of foreign…

Many educational data mining studies have explored methods for discovering cognitive models and have emphasized improving prediction accuracy. Too few studies have "closed the loop" by applying discovered models toward improving instruction and testing whether proposed improvements achieve higher student outcomes. We claim that such…

Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…

The results of educational research studies are only as accurate as the data used to produce them. Drawing on experiences conducting large-scale efficacy studies of classroom-based algebra interventions for community college and middle school students, I am developing practice-based data cleaning procedures to support scholars in conducting…

My privileged opportunity to work with renowned Drama theorist, Dorothy Heathcote, in Melbourne in the 1970s, set a foundation for what I now call Theatre as Education research. Formerly a teacher of Secondary Drama, I became very experienced at creating plays with my students, based on their own ideas, or inspired by the stories of the community.…

Attributes of teaching and learning contexts provide rich information about how students participate in learning activities. By tracking and analyzing snapshots of these attributes captured continuously throughout the duration of the learning activities, teachers can identify individual students who need special attention and apply different…

Most students globally have mobile devices and the Global Students Laboratory (GlobalLab) project is integrating mobility into learning. First launched in 1991, GlobalLab builds a community of learners engaged in collaborative, distributed investigations. Long relying on stationary desktop computers, or students inputting their observations by…

Conducting research can present a range of challenges for students because of the complex skills and knowledge required to have critical engagement with the entire research process. This paper looks at what was involved in shaping the research journey that I am currently undertaking at a Higher Education Institution (HEI). The focus is on research…

Gamification is a strategy of using game mechanics and experience design to digitally engage people to achieve intended goals in non-game contexts. There has been increasing discussion among educators and researchers about harnessing the idea of gamification to enhance current learning and teaching practices in school education. This paper…

This study takes a novel approach toward understanding success in a math course by examining the linguistic features and affect of students' language production within a blended (with both on-line and traditional face to face instruction) undergraduate course (n=158) on discrete mathematics. Three linear effects models were compared: (a) a…

In this paper, I describe preliminary work on a new research project in learning analytics at Arizona State University. In conjunction with an innovative remedial mathematics course using Khan Academy and student coaches, this study seeks to measure the effectiveness of visualized data in assisting student coaches as they help remedial math…

We are using stealth assessment, embedded in "Plants vs. Zombies 2," to measure middle-school students' problem solving skills. This project started by developing a problem solving competency model based on a thorough review of the literature. Next, we identified relevant in-game indicators that would provide evidence about students'…

The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…

Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…