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How can we incorporate findings from learning sciences into online learning? How do teaching and learning experiences in online learning compare with a similar in-person course? How can we use an online course to conduct new research into learning science and technology?
We deliberately attempted to incorporate several recognized pedagogical strategies, including problem-based learning, learning by example, learning by doing, learning by reflection, collaborative learning, and immersion in a community of practice. We also taught the regular in-person CS course in parallel for comparison. In addition, we have partnered with several learning scientists across Georgia Tech to conduct research on online learning. We will compare the teaching and learning experiences in the online course with the parallel in-person course, report on student performance and feedback within both courses, briefly describe the research projects spawned by these experiences, and share our initial reflections on putting online learning and learning sciences together.
He conducts research into artificial intelligence and cognitive science with a focus on computational design and creativity. David Joyner is a Ph. His research focuses on using artificial intelligence to deliver scalable individualized educational experiences. Laws, regulations, and organizational policies codify societal values that software engineers must build into regulated systems. Methods, tools, and techniques for evaluating, establishing, or demonstrating regulatory compliance in software systems are critical for this effort.
This presentation examines RCSE research in two domains. The first domain applies traditional requirements engineering techniques to evaluate software requirements for compliance with electronic health records systems. I will begin by providing an overview of both a method for evaluating software requirements for compliance. Next, I will present our case studies examining how people actually make legal implementation readiness decisions for software requirements. The results of this work indicate that software engineers are ill-equipped to reason about regulatory compliance.
The second domain examines natural language processing as a part of the regulatory compliance process for privacy policies. I will begin with a study identifying software requirements in a set of over 2, privacy policies using topic modeling. This work may prove useful for both regulators and software engineers. Next, I will present our work examining how people identify and classify ambiguity in legal texts.