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Redesigning Online Computer Science for Student-Centered Problem-Based Learning

Authors: Margaret L. Niess; Terry L. Rooker;

Redesigning Online Computer Science for Student-Centered Problem-Based Learning

Abstract

After launching an online Computer Science post-baccalaureate degree program, this study was undertaken to inform the redesign of an introductory Computer Science course using a student-centered, problem-based learning approach. The research team proposed a weekly/unit learning trajectory as they were engaged in student-centered, problem-based learning. Over a timeframe of three university terms, the research team used a design-based, iterative examination to refine the implementation of various instructional actions in the learning trajectory. Multiple small groups of students discussed their learning experiences each term, providing directions for improvements. The analysis directed successive iterations, refining the content, problem solving, and collaborations in the class. This research method assured authentic student voice in an iterative redesign of the course.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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