کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
348315 618176 2015 26 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Connection making between multiple graphical representations: A multi-methods approach for domain-specific grounding of an intelligent tutoring system for chemistry
ترجمه فارسی عنوان
اتصال بین چندین نمایندگی گرافیکی: یک رویکرد چند منظوره برای زمینه سازی دامنه خاص سیستم آموزش هوشمند برای شیمی
کلمات کلیدی
ساخت اتصال، نمایندگی چندگانه، یادگیری ادراکی، سیستم های آموزشی هوشمند علم شیمی
موضوعات مرتبط
علوم انسانی و اجتماعی علوم اجتماعی آموزش
چکیده انگلیسی


• Students' benefit from multiple graphical representations depends on connection making.
• Connection making support needs to align with the requirements of the specific target domain.
• We describe a multi-methods approach to ground the design of an intelligent tutoring system in the chemistry domain.
• The system supports sense-making and fluency-building processes.
• Two pilot studies demonstrate significant and large learning gains.

Making connections between graphical representations is integral to learning in science, technology, engineering, and mathematical (STEM) fields. However, students often fail to make these connections spontaneously. Intelligent tutoring systems (ITSs) are suitable educational technologies to support connection making. Yet, when designing an ITS for connection making, we need to investigate what concepts and learning processes play a role within the specific domain. We describe a multi-methods approach for grounding ITS design in the specific requirements of the target domain. Specifically, we applied this approach to an ITS for connection making in chemistry. We used a theoretical framework that describes potential target learning processes and conducted a series of four empirical studies to investigate what role graphical representations play in chemistry knowledge and to investigate which learning processes related to connection making play a role in students' learning about chemistry. These studies combined multiple methods, including knowledge testing, eye tracking, interviews, and log data analysis. We illustrate how our findings inform the design of an ITS for chemistry: Chem Tutor. Results from two pilot studies done in the lab and in the field with altogether 99 undergraduates suggest that Chem Tutor leads to significant and large learning gains on chemistry knowledge.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Education - Volume 82, March 2015, Pages 460–485
نویسندگان
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