The Hong Kong Prize and Its Benefits

The hongkong prize is one of the most prestigious writing competitions in Asia, and it can provide a host of short and long term benefits for participants. It can help them establish themselves in their field, gain exposure to the media, and even secure writing jobs. However, before submitting an entry, participants should carefully review the rules and regulations to avoid any mistakes that could disqualify them.

The Hong Kong Prize was established through a donation from Professor Wang Gungwu, who championed education. Since its establishment, it has provided an incentive for students to study the diverse history of Hong Kong while pursuing academic excellence. The Prize has also attracted the support of universities, researchers and innovative enterprises. In addition, it has encouraged students to cultivate their passion for the past and develop an interest in preserving historical documents.

Winners of the Hong Kong Prize will receive a cash prize, a trophy and the opportunity to collaborate with other researchers in Hong Kong. In addition, the winning researchers will be given the chance to present their ideas to key stakeholders in the development sector.

This year, HKUST received applications from a wide range of disciplines, with record numbers from artificial intelligence, life and health, new materials and energy, and advanced manufacturing and FinTech. This is a testament to the Prize’s role in encouraging research that supports Hong Kong’s mission to contribute to world development.

A panel of judges will evaluate the submissions. The research must be original and not previously published. It can include clinical studies, observational or epidemiological articles, but meta-analyses and review articles are not eligible. The submission should be presented in a clear and concise way, making it easy for the jury to understand.

The top three winners will be announced in early 2021. Winners will receive a cash prize and the opportunity to collaborate with other researchers in the Hong Kong Science Park. They will also be able to take advantage of the opportunities offered by Hong Kong’s world-class scientific research facilities and the extensive network of international collaborators in the science park.

In addition, the winners will be able to benefit from increased global visibility and top-tier media coverage, access to world-class science facilities at Hong Kong University, as well as a wealth of other benefits. The winning team will also have the opportunity to attend an exclusive workshop at HKUST, and they may also be invited to present their work to international audiences in a major academic conference.

The hongkong prize is open to all secondary school students in Hong Kong. Students can enter by nominating themselves or being nominated by a teacher. The nomination deadline is 16 September. Students must submit their artworks online before the deadline, and they will be asked to enter their nominator’s name. Teachers can nominate up to 10 students each. The winning school will be awarded HK$20,000. Proceeds from the Hong Kong Prize will be used to fund shortlisted student artworks and to support SAF’s expressive arts programming.

Data SGP (Student Growth Progress)

Data SGP (Student Growth Progress) is a metric that tracks student achievement progress over time using longitudinal test score data. SGP provides useful insight for informing instruction, assessing student/teacher performance and supporting educator evaluation systems.

SGP metrics differ from standard percentile scores in that they provide information on relative student performance as opposed to absolute score levels. Specifically, growth percentages tell educators how much the students’ raw assessment score has grown compared to their academic peers. This allows educators to more easily identify students that need additional support and differentiate classroom instruction for high performing students. It also provides educators with a tool for communicating to stakeholders that proficiency targets must be reached within a specified time frame; something that is often difficult to do with standard test score comparisons or traditional percentile measures alone.

To use SGP analyses, the user must have access to longitudinal student assessment data in either WIDE or LONG format. Most errors associated with SGP analyses result from problems in preparing this data, and thus the SGP package includes an example WIDE format data set (sgpData) to demonstrate how this data should be structured for use with lower level functions like studentGrowthPercentiles and studentGrowthProjections. A LONG format data set is also provided to assist with converting existing data into SGPdata format for analysis.

In addition to offering a convenient and user-friendly way to visualize student growth, the SGP package includes a variety of higher level functions that allow users to create more sophisticated graphical presentations of their SGP results as well as a number of additional analytical tools for analyzing student/teacher performance. This includes a method for generating student/teacher “dashboard” displays that allow the user to quickly see a number of important indicators relating to a specific teacher or school/district.

Lastly, the SGP package offers a unique feature that distinguishes it from competing methodologies: it allows schools to establish multi-year growth standards based on official state achievement targets/goals. This enables the user to communicate to stakeholders that proficiency goals must be reached by a certain date while simultaneously motivating teachers by linking their performance to meaningful, measurable targets. This capability is a key differentiator from competing methods and one that cannot be achieved with standard growth models or other approaches.

As an open source software project, SGP is built and run in the R programming environment. Therefore, it requires a computer with R installed. R is available for Windows, OSX, and Linux and can be downloaded for free from the CRAN website. Running SGP analyses assumes some familiarity with the R programming language; resources are available on GitHub to help users get started. The sgpData vignette provides an introduction to the SGP package and provides detailed instructions for getting up and running with the code. In addition, a series of videos are available to further explain the SGP package and its usage.