10 resultados para new technologies in teaching
em DigitalCommons@The Texas Medical Center
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Tegrity Campus 2.0 is the first student achievement system that impacts learning across the entire institution, improving retention and student satisfaction. Tegrity makes class time available all the time by automatically capturing, storing and indexing every class on campus for replay by every student. With Tegrity, students quickly recall key moments or replay entire classes online, with digital notes, on their iPods and cell phones. [See PDF for complete abstract]
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Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2004.
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Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2003.
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Expert Panel: Documenting Teaching Scholarship for Promotion and Tenure Lemuel Moye, School of Public Health Miguel daCunha, School of Nursing William Tate, Dental School Katherine Loveland, Medical School
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Introduction: Concerns about the quality of physician education have changed current medical education practices. Learners must demonstrate competency in core areas, rather than solely participating in educational activities. Academic medical institutions are challenged with identifying leaders to direct curricular and evaluation reforms. An innovative partnership between the University of Houston College of Education and Baylor College of Medicine, the University of Texas Medical School at Houston, and the University of Texas Dental Branch at Houston offers a Masters of Education in Teaching degree with an emphasis in Health Sciences. Courses encompass fundamental areas including curriculum, instruction, technology, measurement, research design and statistics. [See PDF for complete abstract]
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Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2005.
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The purpose of this study was to design, implement and evaluate the effectiveness of a date rape prevention program among new students at Rice University. Six-hundred and fifteen new students were randomly assigned to one of eight residential colleges or dormitories. The distribution of students to each of the dormitories was carried out in accordance with a stratified random sampling procedure. The study population was divided into strata based on ethnicity, gender, geographical region, and academic major. The number of students randomly assigned to each of the eight dormitories was approximately 75. After this procedure was completed, each of the colleges was randomly selected to either the intervention or control group. A randomized pretest and posttest control group design was used to assess changes in attitudes, self-efficacy, and behavior with regard to date rape. All participants were given an anonymous pretest and posttest measuring attitudes, self-efficacy, and behavior immediately prior to and following the intervention. The intervention group attended the play Scruples, designed to promote date rape prevention, after which they were immediately posttested. After this initial posttest the intervention group also participated in an interactive group role-playing activity led by trained peer instructors. The control group was pretested and subject to the placebo intervention of a multiculturalism play and was posttested immediately afterwards. Later in the week this group saw the Scruples play only. Both control and intervention groups were sent a two month follow-up survey questionnaire, to measure any changes in attitudes, self-efficacy, and behavior over time. As hypothesized students who saw the play Scruples showed a change in attitudes immediately posttest but no difference in self-efficacy or behavior. The two month follow-up survey showed no change in attitudes, self-efficacy, or behavior. There was a difference at pretest in males and females attitudes, with males showing significantly more rape tolerant attitudes than females. Thus, the proposed research findings will provide a better understanding of the attitudes that perpetuate date rape, and will inform strategies for prevention programs. ^
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MAX dimerization protein 1 (MAD1) is a basic-helix-loop-helix transcription factors that recruits transcription repressor such as HDAC to suppress target genes transcription. It antagonizes to MYC because the promoter binding sites for MYC are usually also serve as the binding sites for MAD1 so they compete for it. However, the mechanism of the switch between MYC and MAD1 in turning on and off of genes' transcription is obscure. In this study, we demonstrated that AKT-mediated MAD1 phosphorylation inhibits MAD1 transcription repression function. The association between MAD1 and its target genes' promoter is reduced after been phosphorylated by AKT; therefore, consequently, allows MYC to occupy the binding site and activates transcription. Mutation of such phosphorylation site abrogates the inhibition from AKT. In addition, functional assays demonstrated that AKT suppressed MAD1-mediated transcription repression of its target genes hTERT and ODC. Cell cycle and cell growth were also been released from inhibition by MAD1 in the presents of AKT. Taken together, our study suggests that MAD1 is a novel substrate of AKT and AKT-mediated MAD1 phosphorylation inhibits MAD1function; therefore, activates MAD1 target genes expression. ^ Furthermore, analysis of protein-protein interaction is indispensable for current molecular biology research, but multiplex protein dynamics in cells is too complicated to be analyzed by using existing biochemical methods. To overcome the disadvantage, we have developed a single molecule level detection system with nanofluidic chip. Single molecule was analyzed based on their fluorescent profile and their profiles were plotted into 2 dimensional time co-incident photon burst diagram (2DTP). From this 2DTP, protein complexes were characterized. These results demonstrate that the nanochannel protein detection system is a promising tool for future molecular biology. ^
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Although the area under the receiver operating characteristic (AUC) is the most popular measure of the performance of prediction models, it has limitations, especially when it is used to evaluate the added discrimination of a new biomarker in the model. Pencina et al. (2008) proposed two indices, the net reclassification improvement (NRI) and integrated discrimination improvement (IDI), to supplement the improvement in the AUC (IAUC). Their NRI and IDI are based on binary outcomes in case-control settings, which do not involve time-to-event outcome. However, many disease outcomes are time-dependent and the onset time can be censored. Measuring discrimination potential of a prognostic marker without considering time to event can lead to biased estimates. In this dissertation, we have extended the NRI and IDI to survival analysis settings and derived the corresponding sample estimators and asymptotic tests. Simulation studies were conducted to compare the performance of the time-dependent NRI and IDI with Pencina’s NRI and IDI. For illustration, we have applied the proposed method to a breast cancer study.^ Key words: Prognostic model, Discrimination, Time-dependent NRI and IDI ^
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Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2006.