This study examines the levels of social interaction of students with high-functioning autism spectrum disorders during collaborative robotics projects. An alternating treatments design was used to observe the duration of social interaction of two middle school children with autism spectrum disorders across robotics and nonrobotics instruction as well as structured versus nonstructured activities. Results show that both participants with autism spectrum disorders engaged in higher levels of social interaction during robotics instruction when compared with nonrobotics instruction sessions. However, one participant displayed significantly higher levels of social interaction during nonstructured activities, indicating that the instructional setting may serve as a conditioned punisher for the student's social interactions.

Critical thinking, problem solving, the use of tools, and the ability to consume and analyze information are important skills for the 21st century workforce. This article presents a qualitative case study that follows five undergraduate biology majors in a computer science course (CS0). This CS0 course teaches programming within a data-driven context and is part of a university-wide initiative to improve students' quantitative scholarship. In this course, students learn computing concepts and computational thinking by writing programs in MATLAB that compute with data, by performing meaningful analyses, and by writing about the results. The goal of the study reported here is to better understand the thought processes students use in such a data-driven approach. Findings show that students engage in an ongoing organizational process to understand the structure of the data. The computational and visualization tasks appear to be closely linked, and the visualization component appears to provide valuable feedback for students in accomplishing the programming tasks. . 2014. A qualitative study of students' computational skills in a datadriven computing class. ACM Trans. Comput.

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The purpose of this study is to investigate students’ engagement with a multimedia enhanced problem-based learning (PBL) environment, Alien Rescue, and to find out in what ways students consider Alien Rescue motivating. Alien Rescue is a PBL environment for students to learn science. Fifty-seven sixth-grade students were interviewed. Analysis of the interviews using the constant comparative method showed that students were intrinsically motivated and that there were 11 key elements of the PBL environment that helped evoke students’ motivation: authenticity, challenge, cognitive engagement, competence, choice, fantasy, identity, interactivity, novelty, sensory engagement, and social relations. These elements can be grouped into 5 perspectives of the sources of intrinsic motivation for students using Alien Rescue: problem solving, playing, socializing, information processing, and voluntary acting, with problem solving and playing contributing the highest level of intrinsic motivation. The findings are discussed with respect to designing multimedia learning environments.