Identifying Technology Integration in Engineering Education with Deep Dive Ethnographic Research

Abhyankar, Kushal; Ganapathy, Subhashini

doi:10.3182/20130811-5-us-2037.00093

Cited by 1 publication

(3 citation statements)

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“…This study yielded the shortcomings, expectations and support requirements of the students in the engineering curriculum. The outcomes of this study are as discussed in [12]. This step of the research was designed to observe some of the possible reasons for these roadblocks and how can they be answered individually.…”

Section: A Ethnographic Researchmentioning

confidence: 99%

“…From the results of the ethnographic research phase, it was evident that the students are looking for something much beyond just the classroom teaching and traditional interactions. The subjects that are already difficult are becoming very hard as the advanced applications of these subjects are introduced into the curriculum [12].…”

Section: A Ethnographic Researchmentioning

confidence: 99%

“…As described in [12], we are in the process of deploying the designed course content in order to provide a scaffolding support to the students taking the basic statistics course through the School of Engineering and Computer Sciences at Wright State University.…”

Section: B Content Development Testing and Data Collectionmentioning

confidence: 99%

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Technology-Enhanced Learning Analytics System Design for Engineering Education

Abhyankar¹,

Ganapathy²

2014

IJIET

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The field of technologically enhanced learning (TEL) allows for the visualization of different patterns of user behaviors. These trends represent the usages of the technology based educational content. The visualization of this information leads to the formation of a comprehensive analytics system to process the metadata. The efforts to the formation of this learning analytics system were initiated with a comprehensive ethnographic research conducted over the engineering students of Wright State University to understand the pain points in studying engineering subjects. The focus of this research is primarily over the development, testing and evaluation of the educational content over small form factors devices in order to provide an interactive form of learning support to the engineering students. The usage data will be collected from the students with the help of the questionnaire designed to understand the affinity towards the technology. The data will be collected to understand the user attitude, ease of use, behavioral and social effects on the user as well as the user affinity towards the technology. The metadata presentation forms the learning analytics system, which will serve as the performance benchmark for the educators, technology developers, education administrators and stakeholders.

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Section: A Ethnographic Researchmentioning

confidence: 99%

Section: A Ethnographic Researchmentioning

confidence: 99%