Computer Engineering Commons^™

Supporting Teacher Orchestration In Ubiquitous Learning Environments: A Study In Primary Education, Juan Muñoz Cristóbal, Ivan Jorrín Abellán, Juan Asensio Perez, Alejandra Martínez Monés, Luis Prieto, Yannis Dimitriadis

Ivan M. Jorrín Abellán

During the last decades, educational contexts have transformed into complex technological and social ecologies, with mobile devices expanding the scope of education beyond the traditional classroom, creating so-called Ubiquitous Learning Environments (ULEs). However, these new technological opportunities entail an additional burden for teachers, who need to manage and coordinate the resources involved in such complex educational scenarios in a process known as “orchestration”. This paper presents the evaluation of the orchestration support provided by GLUEPS-AR, a system aimed to help teachers in the coordination of across-spaces learning situations carried out in ULEs. The evaluation, following an interpretive research perspective, relied …

Coming Down To Earth: Helping Teachers Use 3d Virtual Worlds In Across-Spaces Learning Situations, Juan Muñoz Cristóbal, Luis Prieto, Juan Asensio Pérez, Alejandra Martínez Monés, Ivan Jorrín Abellán, Yannis Dimitriadis

Ivan M. Jorrín Abellán

Different approaches have explored how to provide seamless learning across multiple ICT-enabled physical and virtual spaces, including three-dimensional virtual worlds (3DVW). However, these approaches present limitations that may reduce their acceptance in authentic educational practice: The difficulties of authoring and sharing teacher-created designs across different 3DVW platforms, or the lack of integration of 3DVWs with existing technologies in the classroom ecosystem (e.g., widespread web-based learning platforms such as Moodle, or mobile augmented reality applications). Focusing on a specific kind of 3DVW (virtual globes, such as Google Earth, used like 3DVWs), we propose a system that enables teachers to deploy across-spaces …

Wikis For Group Work: Encouraging Transparency, Benchmarking And Feedback, Amir Abdekhodaee, Dini Kourosh, Farnaz Modarres, Anne-Marie Chase, Bella Ross

Dr Anne-Marie Chase

Population Validity For Educational Data Mining Models: A Case Study In Affect Detection, Ryan Baker, Jaclyn Ocumpaugh, Sujith Gowda, Neil Heffermnan, Cristina Heffernan

Ryan S.J.d. Baker

ICT-enhanced research methods such as educational data mining (EDM) have allowed researchers to effectively model a broad range of constructs pertaining to the student, moving from traditional assessments of knowledge to assessment of engagement, meta-cognition, strategy, and affect. The automated detection of these constructs allows EDM researchers to develop intervention strategies that can be implemented either by the software or the teacher. It also allows for secondary analyses of the construct, where the detectors are applied to a data set that is much larger than one that could be analyzed by more traditional methods. However, in many cases, the data …

Leveraging Machine-Learned Detectors Of Systematic Inquiry Behavior To Estimate And Predict Transfer Of Inquiry Skill, Ryan Baker, Michael Sao Pedro, Janice Gobert, Orlando Montalvo, Adam Nakama

Ryan S.J.d. Baker

We present work toward automatically assessing and estimating science inquiry skills as middle school students engage in inquiry within a physical science microworld. Towards accomplishing this goal, we generated machine‐learned models that can detect when students test their articulated hypotheses, design controlled experiments, and engage in planning behaviors using two inquiry support tools. Models were trained using labels generated through a new method of manually hand‐coding log files, “text replay tagging”. This approach led to detectors that can automatically and accurately identify these inquiry skills under student‐level cross‐validation. The resulting detectors can be applied at run‐time to drive scaffolding intervention. …