Analyzing the occurrence transformative learning in faith-based, postsecondary adult degree completion programs utilizing the learning activities survey

Doctor of PhilosophyDepartment of Educational LeadershipJeffrey T. ZacharakisThere has been tremendous growth in adult, degree-completion programs. Enrollment trends continue to reflect a growing adult population, comprising 40% of all postsecondary students (Snyder & Dillow, 2013). In an effort to meet rising demand and capitalize on the opportunity to provide adult-specific programs, schools are focusing more on the administrative benefits and the highly structured format of degree completion programs and diminishing the opportunity for adults to learn and grow beyond course content (Johnson-Bailey, 2015). This ex-post facto study is of adult students enrolled in cohort-based, degree completion programs in faith-based colleges and universities to understand whether students experience transformative learning and if so, if their experience can be predicted or explained by participation in various learning activities. This research uses King’s (2009) Learning Activities Survey, which was specifically developed to measure transformative learning in the classroom. The purpose of this study, using the LAS, is to understand whether adult students in cohort-based, degree completion programs experience transformative learning and if it can be associated with learning activities. Students were surveyed and asked to report whether they experienced transformative learning in their educational program, outside of their experience in the program, or not at all

The importance of design characteristics in walking from student's perspective: a case study in Universiti Kebangsaan Malaysia

Walking is a common form of physical activity, which has a lot of both social and recreational impacts. It is studied as a way of achieving sustainability. Many researchers recommend that walking can increase mental and physical health. Spectators of new urbanism recommend that the good design will encourage walking. There are several characteristics for designing walkable communities, which were frequently described in researches by many authors. In this paper, the four criteria noticed for making walkable university campus include connectivity, accessibility, safety/security and comfort. These criteria have been assessed by gathering survey in the Universiti Kebangsaan Malaysia to find out if these criteria can cause or affect walkability in university campus and it has been supported by previous studies. The result of the survey shows that these criteria are important from students’ perspective as high numbers of the students consider these characters as important for walking activity. The conclusion is to achieve walkable university campus as it will be necessary to evaluate present walking conditions, research walking behavior in different settings and consider these four criteria in designing campus for improving walking condition

Information and Communication Technologies(ICT), Activity Decisions,and Travel Choices: 20 years into the Second Millennium and where do we go next?

CENTENNIAL PAPERSStanding Committee on Effects of Information and Communication Technologies (ICT) on Travel Choices (ADB20)Giovanni Circella, ChairInformation and Communication Technologies(ICT), Activity Decisions,and Travel Choices: 20 years into the Second Millennium and where do we go next?JACEKPAWLAK,Imperial College LondonGIOVANNICIRCELLA, University of California, Davis andGeorgia Institute of TechnologyHANIS.MAHMASSANI, Northwestern UniversityPATRICIAL.MOKHTARIAN, Georgia Institute of TechnologyABSTRACTInformation and Communication Technologies, or ICT,have rapidly emerged asan integral element of everyday life, interactingin an essential manner with mobility and the activity patterns that engender it. The current paper reflects uponthistrendandthe opportunities and challenges itrepresents.Givenmore than three decades of research in the domain of interactions between ICT, activity decisions and travel choices, we acknowledgethe elaborate, disruptiveand oftenunexpected waysalong which ICT interact with society.Tosupport the objective of theADB20 Committee, namely tosupportand promote theemerging research questions, we identifya number of technological, societal and behavioral trends related to ICT and mobility that are likelyto be major driving forces for activity-travel behavior considerations in the next 15 years. Those include democratization of technology; personalization; shared and commoditized mobility; automation;data as the new currency; next generation connectivity, including 5G; evolving social media and socialization; new forms of shopping; digital twins;activity fragmentation; andmultitasking.We also observe that inevitably, theincreasingly interlocking relationshipbetween ICT and mobility will bring challengesrelated to balancing efficiency vs. redundancy and resilience, ensuring transparency, susceptibility to malicious activitiesandtackling the digital divide. We argue that those should not be seen as barriers to realization of the ultimate benefits for society, providing that thetransportation research agenda maintains focus on the evolution of ICTand rigorously explores the related impacts on activity decisions, travel choices and, more broadly, on transportationsystems

Epilogue: the new frontiers of behavioral research on the interrelationships between ICT, activities, time use and mobility

© 2018, Springer Science+Business Media, LLC, part of Springer Nature. This special issue is a product of the international symposium on “ICT, Activities, Time Use and Travel” that was hosted by Nanjing University from 16 to 18 July 2016. The symposium brought together leading scholars from all over the world to congregate with Chinese scholars and students and to share and discuss the research frontiers at this nexus. It was motivated by a recognition of the changing goals and scope of Information and Communications Technology (ICT) research in conjunction with the development of new ICTs and the emergence of new ICT-enabled behaviors. Consequently, the symposium and later this special issue have drawn together significant scholarly contributions that provide new behavioral insights as well as new theoretical and methodological advances. The symposium culminated in three roundtable panel discussions addressing the following cross-cutting themes: (1) time use while travelling (led by Glenn Lyons); (2) ICT and travel behavior (led by Pat Mokhtarian); and (3) Big Data, activities and urban space (led by Eran Ben-Elia). In this epilogue to the special issue we offer a distillation of these discussions

A Multi-scale Bilateral Structure Tensor Based Corner Detector

9th Asian Conference on Computer Vision, ACCV 2009, Xi'an, 23-27 September 2009In this paper, a novel multi-scale nonlinear structure tensor based corner detection algorithm is proposed to improve effectively the classical Harris corner detector. By considering both the spatial and gradient distances of neighboring pixels, a nonlinear bilateral structure tensor is constructed to examine the image local pattern. It can be seen that the linear structure tensor used in the original Harris corner detector is a special case of the proposed bilateral one by considering only the spatial distance. Moreover, a multi-scale filtering scheme is developed to tell the trivial structures from true corners based on their different characteristics in multiple scales. The comparison between the proposed approach and four representative and state-of-the-art corner detectors shows that our method has much better performance in terms of both detection rate and localization accuracy.Department of ComputingRefereed conference pape

Look, the World is Watching How We Treat Migrants! The Making of the Anti-Trafficking Legislation during the Ma Administration

Employing the spiral model, this research analyses how anti-human trafficking legislation was promulgated during the Ma Ying-jeou (Ma Yingjiu) presidency. This research found that the government of Taiwan was just as accountable for the violation of migrants’ human rights as the exploitive placement agencies and abusive employers. This research argues that, given its reliance on the United States for political and security support, Taiwan has made great efforts to improve its human rights records and meet US standards for protecting human rights. The reform was a result of multilevel inputs, including US pressure and collaboration between transnational and domestic advocacy groups. A major contribution of this research is to challenge the belief that human rights protection is intrinsic to democracy. In the same light, this research also cautions against Tai-wan’s subscription to US norms since the reform was achieved at the cost of stereotyping trafficking victimhood, legitimising state surveillance, and further marginalising sex workers

Incorporating scale invariance into the cellular associative neural network

This paper describes an improvement to the Cellular Associative Neural Network, an architecture based on the distributed model of a cellular automaton, allowing it to perform scale invariant pattern matching. The use of tensor products and superposition of patterns allows the system to recall patterns at multiple resolutions simultaneously. Our experimental results show that the architecture is capable of scale invariant pattern matching, but that further investigation is needed to reduce the distortion introduced by image scaling

Shape description and matching using integral invariants on eccentricity transformed images

Matching occluded and noisy shapes is a problem frequently encountered in medical image analysis and more generally in computer vision. To keep track of changes inside the breast, for example, it is important for a computer aided detection system to establish correspondences between regions of interest. Shape transformations, computed both with integral invariants (II) and with geodesic distance, yield signatures that are invariant to isometric deformations, such as bending and articulations. Integral invariants describe the boundaries of planar shapes. However, they provide no information about where a particular feature lies on the boundary with regard to the overall shape structure. Conversely, eccentricity transforms (Ecc) can match shapes by signatures of geodesic distance histograms based on information from inside the shape; but they ignore the boundary information. We describe a method that combines the boundary signature of a shape obtained from II and structural information from the Ecc to yield results that improve on them separately