A Descriptive and Comparative Case Study of Undergraduate Psychology Students\u27 Feedback Processes When Developing a Research Proposal Paper

The current study was conducted to examine undergraduate psychology students’ feedback processes associated with developing a research proposal paper. Previous research has investigated how feedback can be effective for student learning, but it has been limited by not considering the effectiveness of multiple, smaller assessments and the frequent feedback provided on them, from both instructors and peers, as students complete a single, larger assignment. It also has been limited by not considering the application of one model of feedback at the postsecondary education level. The case study research design was selected both to describe my students’ feedback processes when completing a semester-long assignment and to compare these feedback processes when the feedback was provided by either me or other students. Course-based data, including students’ assessments, the feedback provided on them, and their responses to questionnaire items, from two class sections were analyzed using pattern matching within the two cases and cross-case syntheses between the two cases. The findings indicated students’ feedback processes were: (a) informing them of the type and level of performance to be attained, (b) helping them to progress and attain the type and level of performance, (c) providing them with information associated with performance, (d) conveying their progress and how they should proceed, (e) impacting student learning, and (f) leading to greater possibilities for student learning. In general, students indicated these processes were more helpful when I provided feedback rather than when other students provided feedback, although most feedback provided by both me and other students was directed at the same levels

LSST: from Science Drivers to Reference Design and Anticipated Data Products

(Abridged) We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). A vast array of science will be enabled by a single wide-deep-fast sky survey, and LSST will have unique survey capability in the faint time domain. The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the Solar System, exploring the transient optical sky, and mapping the Milky Way. LSST will be a wide-field ground-based system sited at Cerro Pach\'{o}n in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg$^2$ field of view, and a 3.2 Gigapixel camera. The standard observing sequence will consist of pairs of 15-second exposures in a given field, with two such visits in each pointing in a given night. With these repeats, the LSST system is capable of imaging about 10,000 square degrees of sky in a single filter in three nights. The typical 5$\sigma$ point-source depth in a single visit in $r$ will be $\sim 24.5$ (AB). The project is in the construction phase and will begin regular survey operations by 2022. The survey area will be contained within 30,000 deg$^2$ with $\delta<+34.5^\circ$, and will be imaged multiple times in six bands, $ugrizy$, covering the wavelength range 320--1050 nm. About 90\% of the observing time will be devoted to a deep-wide-fast survey mode which will uniformly observe a 18,000 deg$^2$ region about 800 times (summed over all six bands) during the anticipated 10 years of operations, and yield a coadded map to $r\sim27.5$. The remaining 10\% of the observing time will be allocated to projects such as a Very Deep and Fast time domain survey. The goal is to make LSST data products, including a relational database of about 32 trillion observations of 40 billion objects, available to the public and scientists around the world.Comment: 57 pages, 32 color figures, version with high-resolution figures available from https://www.lsst.org/overvie