Mohammad Javad Mahzoon

University of North Carolina at Charlotte | UNC Charlotte · Department of Software & Information Systems

The correct sequence of courses in a curriculum can ensure that students develop their knowledge and skills holistically. The challenge level can also be more evenly distributed. Creating these sequences is difficult because curriculum designers must consider multiple potentially conflicting criteria simultaneously. There currently exists a dearth...

Learning analytics is an emerging discipline within data science. It is analytics that is concerned with developing methods for exploring the unique and increasingly large-scale datasets collected from educational settings, including the collection, analysis, and visualization of such educational data. The goal of the analyses and visualizations is...

We present a prediction model to detect delayed graduation cases based on student network analysis. In the U.S. only 60% of undergraduate students finish their bachelors’ degrees in 6 years [1]. We present many features based on student networks and activity records. To our knowledge, our feature design, which includes conventional academic perform...

NatureNet is a citizen science project that, in addition to collecting biodiversity data, invites end-users to contribute design ideas to guide the its future design and development. This paper presents the NatureNet model of crowdsourcing design, then compares an analysis of the design process to published analyses of traditional face-to-face desi...

This research to practice full paper provides preliminary evidence that integrating reflections is a significant feature to identify at-risk students early in a semester as verified and validated by a sequence-based learning analytics model. We've devised an active learning classroom model which incorporates reflection at multiple points in student...

NatureNet is a citizen science project that, in addition to collecting biodiversity data, invites end-users to contribute design ideas to guide its future design and development. This paper presents the NatureNet model of crowdsourcing design, then compares an analysis of the design process to published analyses of traditional face to face design p...

Data models built for analyzing student data often obfuscate temporal relationships for reasons of simplicity, or to aid in generalization. We present a model based on temporal relationships of heterogeneous data as the basis for building predictive models. We show how within- and between-semester temporal patterns can provide insight into the stud...

Reflection is a way to get quick opinions from users, clients, etc. Analysis of reflection often involves subjective review and interpretations. On the other hand, data analytics provides guidelines to collect and measure as well as analyze and reflect on data. In our case, learning analytics of students' reflections reveals information about learn...

This paper explores how participants constructed and re-constructed their relationship with an interactive art installation. The piece, textit{the willful marionette}, was developed in collaboration between artists and researchers. It explores the dynamics of non-verbal communication by building (from a scanned image of a human figure) a stringed m...

In this paper we describe a cognitive model for provoking gestural dialogue with humans, embodied in an interactive marionette. The cognitive model is a framework for the design and implementation of a gesture to gesture interaction. The marionette perceives gestures of humans using a Microsoft Kinect, reasons about perceived gestures to determine...