Contextual computing: tracking healthcare providers in the Emergency Department via Bluetooth beacons

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Description
Hospital Emergency Departments (EDs) are frequently crowded. The Center for

Medicare and Medicaid Services (CMS) collects performance measurements from EDs

such as that of the door to clinician time. The door to clinician time is the time at which a

Hospital Emergency Departments (EDs) are frequently crowded. The Center for

Medicare and Medicaid Services (CMS) collects performance measurements from EDs

such as that of the door to clinician time. The door to clinician time is the time at which a

patient is first seen by a clinician. Current methods for documenting the door to clinician

time are in written form and may contain inaccuracies. The goal of this thesis is to

provide a method for automatic and accurate retrieval and documentation of the door to

clinician time. To automatically collect door to clinician times, single board computers

were installed in patient rooms that logged the time whenever they saw a specific

Bluetooth emission from a device that the clinician carried. The Bluetooth signal is used

to calculate the distance of the clinician from the single board computer. The logged time

and distance calculation is then sent to the server where it is determined if the clinician

was in the room seeing the patient at the time logged. The times automatically collected

were compared with the handwritten times recorded by clinicians and have shown that

they are justifiably accurate to the minute.
Date Created
2015
Agent

Exploring the impact of varying levels of augmented reality to teach probability and sampling with a mobile device

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Description
Statistics is taught at every level of education, yet teachers often have to assume their students have no knowledge of statistics and start from scratch each time they set out to teach statistics. The motivation for this experimental study comes

Statistics is taught at every level of education, yet teachers often have to assume their students have no knowledge of statistics and start from scratch each time they set out to teach statistics. The motivation for this experimental study comes from interest in exploring educational applications of augmented reality (AR) delivered via mobile technology that could potentially provide rich, contextualized learning for understanding concepts related to statistics education. This study examined the effects of AR experiences for learning basic statistical concepts. Using a 3 x 2 research design, this study compared learning gains of 252 undergraduate and graduate students from a pre- and posttest given before and after interacting with one of three types of augmented reality experiences, a high AR experience (interacting with three dimensional images coupled with movement through a physical space), a low AR experience (interacting with three dimensional images without movement), or no AR experience (two dimensional images without movement). Two levels of collaboration (pairs and no pairs) were also included. Additionally, student perceptions toward collaboration opportunities and engagement were compared across the six treatment conditions. Other demographic information collected included the students' previous statistics experience, as well as their comfort level in using mobile devices. The moderating variables included prior knowledge (high, average, and low) as measured by the student's pretest score. Taking into account prior knowledge, students with low prior knowledge assigned to either high or low AR experience had statistically significant higher learning gains than those assigned to a no AR experience. On the other hand, the results showed no statistical significance between students assigned to work individually versus in pairs. Students assigned to both high and low AR experience perceived a statistically significant higher level of engagement than their no AR counterparts. Students with low prior knowledge benefited the most from the high AR condition in learning gains. Overall, the AR application did well for providing a hands-on experience working with statistical data. Further research on AR and its relationship to spatial cognition, situated learning, high order skill development, performance support, and other classroom applications for learning is still needed.
Date Created
2013
Agent

Analyses of receptive and productive Korean EFL vocabulary: computer-based vocabulary learning program

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Description
The present research study investigated the effects of 8 versions of a computer-based vocabulary learning program on receptive and productive knowledge levels of college students. The participants were 106 male and 103 female Korean EFL students from Kyungsung University and

The present research study investigated the effects of 8 versions of a computer-based vocabulary learning program on receptive and productive knowledge levels of college students. The participants were 106 male and 103 female Korean EFL students from Kyungsung University and Kwandong University in Korea. Students who participated in versions of the vocabulary learning program with target-word based sentences as well as definitions tended to perform better on receptive and productive vocabulary assessments than those who participated in versions of the program with definitions of words only. Furthermore, results indicated that the difference in receptive scores from immediately after the program to one week later showed a higher drop-rate than the difference in productive scores. In addition, female learners performed receptively better than male learners in post and one-week delayed tests, but significant gender difference failed to occur for the productivity measure. Overall, these results emphasized the importance of productive vocabulary knowledge for better retention of English vocabulary words.
Date Created
2013
Agent