Details

Autor(en) / Beteiligte

• Belenky, Daniel M
• Ringenberg, Michael
• Olsen, Jennifer
• Aleven, Vincent
• Rummel, Nikol

Titel

Using dual eye-tracking to evaluate students' collaboration with an intelligent tutoring system for elementary-level fractions

Ist Teil von

• Cognitive science meets artificial intelligence. Human and artificial agents in interactive contexts. 36th annual meeting of the Cognitive Science Society (CogSci 2014), 2014, p.S. 176-181

Erscheinungsjahr

2014

Link zum Volltext

Beschreibungen/Notizen

• As learning technologies proliferate, it is important for research to address how to best align instruction to educational goals. For example, recent evidence indicates that working collaboratively may have unique benefits for facilitating the acquisition of conceptual understanding, as opposed to procedural fluency [...]. To investigate this effect, [the authors] leverage and expand upon a new methodology, dual eye-tracking, to understand how collaborators' joint attention may impact learning in a collaboration-enabled intelligent tutoring system for fractions. [The authors] present results from a study in which 28 pairs of 4th and 5th grade students completed a set of either conceptually- or procedurally-oriented instructional activities in a school setting. Results indicate that students collaborating exhibited learning gains for conceptual knowledge, but not for procedural knowledge, and that more joint attention was related to learning gains. These results may inform the design of future learning technologies, and illustrate the utility of using dual eye-tracking to study collaboration. (Orig.).