utilizedthe technology via a hybrid learning approach. For example, in a 2012 Vanderbilt Universitygraduate level course on machine learning, students signed-up for and attended a traditionalresidency-based course per usual, but the course also integrated all or parts of existing MOOCs.Students in the course participated in a MOOC from Stanford University on Machine Learningwhile concurrently engaging in discussions during regular class time throughout the semester onthe Vanderbilt campus10. Leveraging MOOCs in such a traditional-online learning hybrid maybe a way to push pedagogical boundaries and enhance learning via a flipped classroom format,which similarly is an instructional approach that is receiving a great deal of attention. In additionto
instrument designed to measuretheir perceived effectiveness of Scaffolding, Interactivity, and Reflectivity components of thecourse by using the SIRA scales.20 Lastly, in Phase 3 we used correlation analysis to compare therelationships between ethical reasoning development and the SIRA scale responses for bothmodes of participation.Figure 1 provides an overview of these research phases and the analysis methods that we utilizedwithin each. While Phases 1 and 2 do not inform one another, we integrated the data collectedthroughout these phases in Phase 3. Figure 1: Depiction of the multiphase research process of this studyIntervention/Course OverviewThe intervention used in this study began with training students to understand the
IR in recent years. McCown18 contrastedhis experience in teaching an IR course in which students develop a search engine from scratch Page 25.1216.3with the one in which students revise code in an existing search engine. Each of the twoapproaches has its pros and cons, developing a search engine from scratch gives students agreater understanding of what is behind the scene in a search engine but the end-product may beless polished, while revising existing search engine code may accomplish more functionality butstudents would have to overcome some steep learning curve. Zhu and Tang33 proposed amodule-based integration of IR topics into
16,000 different line items under a'microcontroller' search.Selecting the ideal MCU and DT for a particular project could be a time-consuming and tedious Page 24.1012.2task for an undergraduate student or the course designer and faculty mentor3. This is aggravated bythe fact that students are usually only familiar with the MCU, DB and IDE they have used duringtheir undergraduate classroom and lab experience. The students are challenged not just by thedesign, but by the integration of these various types of technology.There are other challenges in the curriculum too. A student takes a digital circuits and systemscourse with its laboratory
co-authored the first integrated computer and laboratory introductory calculus course in 1975. He has taught middle school mathematics, engineering, and science and both undergraduate science and graduate teaching courses at Harvard. His research interests include assessment of students’ misconceptions and how they change with instruction, K-12 curriculum development, the transition to college of students who wish to purse STEM careers, pre-college engineering, and the professional development of teachers. Dr. Sadler has won the Journal of Research in Science Teaching Award, the American Institute of Physics Computers in Physics Prize, the American Astronomical Society Education Prize, and the American Association
activeness of the system. Since the system isaimed at controlling an embedded system which is Lego Mindstrom EV3, hence for avoidingsynchronization problem with Android platform in terms of programming, LeJOS EV3 API isused. It facilitates to program the whole system using Java without the integration of any otherprogramming environment. Immediately after the implementation of the system, it is tested forits functional validity and programming correctness. © American Society for Engineering Education, 2016 2016 ASEE Southeast Section ConferenceAs aforementioned and as mapped in the system architecture, each component of the overalllifecycle of the system implementation can be applied in