The landscape for out-of-school STEM learning in Hong Kong is evolving. In 2017, to capture this change, the Croucher Foundation conducted a mapping exercise. This is the second annual mapping exercise conducted by the Croucher Foundation.
The study reveals a rich and vibrant ecosystem for out-of-school STEM in Hong Kong with almost 2,000 discrete activities covering a very wide range of science disciplines. This second report indicates extremely rapid growth in available out-of-school STEM activities compared to 2016 and an even larger increase in the number of organisations offering out
This is the final report from the external evaluator of the project that created MedLab, an interactive learning experiences for Chicago area middle and high school students. This external evaluator's final report summarizes the outcomes and impacts of the five-year (2012-2017) funding compared to project objectives. The aim of the project was to use in person and online curricula, including a humanoid patient simulator (iStan®), to build interest in and knowledge of health sciences and health careers, with a particular focus on local community health concerns. An additional goal was to
DATE:
TEAM MEMBERS:
Christina Shane-SimpsonJohn FraserSusan HannahKin KongPatricia WardRabiah Mayas
The Croucher Foundation recently embarked on a research study to explore informal science learning in Hong Kong. This is the first study to focus on the out-of-school ecosystem for science learning in Hong Kong. This exploratory and investigative study identified over a thousand out-of-school STEM activities that happened between June 2015 and May 2016, including courses, workshops and exhibitions available to Hong Kong school students over this twelve-month period. The study excluded tutorials and exam-orientated courses and focused instead on activities designed to encourage an interest in
The FIRST Longitudinal Study is a multi-year longitudinal study assessing the impacts of FIRST’s afterschool robotics programs on the STEM related interests and educational and career trajectories of program participants. FIRST is one of the nation’s largest after-school robotics programs, serving more than 460,000 youth aged 6-18 annually through the FIRST LEGO League (Ages 7-14), the FIRST Tech Challenge (grades 7-12) and the FIRST Robotics Competition (grades 9-12). The study is tracking over 1200 program participants and comparison students, using a quasi-experimental design, over a
DATE:
TEAM MEMBERS:
Alan MelchiorCathy BurackMatthew HooverJill Marcus
The North Carolina Aquarium at Fort Fisher, along with the North Carolina State Museum of Natural Sciences, has created a comprehensive, innovative, and engaging approach to inspire ocean stewardship among young people. Through professional development, integration of advanced technology, and targeted presentations to underserved audiences, this project serves to build connections between marine mammals, ocean health, climate change, and people. The project offers an innovative and engaging professional development opportunity, the Marine Mammal Institute (MMI), for 32 grassroots educators in North Carolina, with priority given to representatives from economically depressed areas. Participating educators gather information and gain experience to develop interactive marine mammal activities related to climate and ocean literacy. Upon returning to their home institutions, participants engage teenagers in climate and ocean literacy programming using innovative technology to illustrate climate change impacts on marine mammals.
The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by designing and building new kinds of learning technologies and studying their possibilities for fostering learning and challenges to using them effectively. This project brings together two approaches to help K-12 students learn programming and computer science: open-ended learning environments, and computer-based learning analytics, to help create a setting where youth can get help and scaffolding tailored to what they know about programming without having to take tests or participate in rigid textbook exercises for the system to know what they know.
The project proposes to use techniques from educational data mining and learning analytics to process student data in the Alice programming environment. Building on the assessment design model of Evidence-Centered Design, student log data will be used to construct a model of individual students' computational thinking practices, aligned with emerging standards including NGSS and research on assessment of computational thinking. Initially, the system will be developed based on an existing corpus of pair-programming log data from approximately 600 students, triangulating with manually-coded performance assessments of programming through game design exercises. In the second phase of the work, curricula and professional development will be created to allow the system to be tested with underrepresented girls at Stanford's CS summer workshops and with students from diverse high schools implementing the Exploring Computer Science curriculum. Direct observation and interviews will be used to improve the model. Research will address how learners enact computational thinking practices in building computational artifacts, what patters of behavior serve as evidence of learning CT practices, and how to better design constructionist programming environments so that personalized learner scaffolding can be provided. By aligning with a popular programming environment (Alice) and a widely-used computer science curriculum (Exploring Computer Science), the project can have broad impact on computer science education; software developed will be released under a BSD-style license so others can build on it.
DATE:
-
TEAM MEMBERS:
Shuchi GroverMarie BienkowskiJohn Stamper
The project team is developing a prototype of a mobile platform, Zaption, to support teachers in using video clips to enrich learning. The product’s user-interface will allow teachers to easily add annotations to videos, make short video clips that align to topics, and enhance videos with time-linked elements and assessments that appear at the top of each video. In Phase I pilot research, the team will examine whether the prototype functions as planned, if teachers are able to use the prototype for different purposes, and whether students are engaged by the prototype.
The project team is developing a prototype of Eco, a multi-player game to prepare high school students to be environmentally literate citizens with 21st century skills. To play the game, students will enter a shared online world featuring a simulated ecosystem of plants and animals. Students will co-create the civilization by measuring, modeling, and analyzing the underlying ecosystem. Students advocate proposed plans to classmates and make decisions as a group. Cooperation and science-based decision making activities are necessary for success in preventing the destruction of their environment. The prototype will include teacher resources to support the alignment of game play to learning goals, and implementation. In the Phase I pilot research, the project team will examine whether the game prototypes function as planned, if teachers are able to integrate it within the classroom environment, and whether students are engaged with the prototype.
Purpose: This project team will develop and test Zaption, a mobile and desktop platform designed to support educators in effectively and efficiently utilizing video (e.g., from YouTube, Vimeo, or their own desktop) as an interactive teaching and learning object. Personalized learning devices (e.g., smartphones, tablets) populated with video content provide opportunities for students to access educationally-meaningful content anywhere and anytime. Yet, video has yet to realize its potential as a learning tool in or out of the classroom. One reason for this is that watching video can be a passive experience for students, whereas learning requires active engagement. A second reason is that even if students are actively engaged while watching a video, there is no easy way to elicit student responses to a video. And finally, there is no easy way to feed student responses to teachers as formative assessment data to guide subsequent instruction.
Project Activities: During Phase I, (completed in 2014), the team expanded a pre-existing prototype by building a mobile app to enable anytime use and increase its functionality for teachers. At the end of Phase I, pilot research with 150 students in 7 classrooms demonstrated that the prototype operated as intended, teachers were able to integrate the videos within instructional practice, and students found the mobile app helpful and engaging. In Phase II, the team will add additional components to the prototype and will develop content-specific modules for use in high school physics classes. After development is complete, the research team will conduct a larger pilot study to assess the feasibility and usability, fidelity of implementation, and the promise of the Zaption for supporting student's physics learning. The study will include 32 Grade 10 physics classrooms, half of whom will be randomly assigned to use Zaption and half of whom will follow business as usual procedures. Analyses will compare pre-and-post scores of student's physics learning.
Product: Zaption will be a mobile and web-based platform to support the use of any video (e.g., from YouTube, Vimeo, or their own desktop) as a teaching and learning tool. Zaption will include an authoring engine where users can find and select video clips and easily insert interactive elements such as questions, discussions, and annotations into the videos. Users will then publish videos directly on Zaption's website, or on any learning management system or classroom website. Students will be able to view videos as homework or in class, respond individually to the questions and prompts, and get feedback on their responses. Teachers will use Zaption Analytics to receive immediate and actionable data showing whether students actually watched and engaged with a video, and how students responded to the questions and prompts.
Purpose: This project will develop and test Happy Atoms, a physical modeling set and an interactive iPad app for use in high school chemistry classrooms. Happy Atoms is designed to facilitate student learning of atomic modeling, a difficult topic for chemistry high school students to master. Standard instructional practice in this area typically includes teachers using slides, static ball and stick models, or computer-simulation software to present diagrams on a whiteboard. However, these methods do not adequately depict atomic interactions effectively, thus obscuring complex knowledge and understanding of their formulas and characteristics.
Project Activities: During Phase I (completed in 2014), the team developed a prototype of a physical modeling set including a computerized ball and stick molecular models representing the first 17 elements on the periodic table and an iPad app that identifies and generates information about atoms. A pilot study at the end of Phase I tested the prototype with 187 high school students in 12 chemistry classes. Researchers found that the prototype functioned as intended. Results showed that 88% of students enjoyed using the prototype, and that 79% indicated that it helped learning. In Phase II, the team will develop additional models and will strengthen functionality for effective integration into instructional practice. After development is complete, a larger pilot study will assess the usability and feasibility, fidelity of implementation, and promise of Happy Atoms to improve learning. The study will include 30 grade 11 chemistry classrooms, with half randomly assigned to use Happy Atoms and half who will continue with business as usual procedures. Analyses will compare pre-and-post scores of student's chemistry learning, including atomic modeling.
Product: Happy Atoms will include a set of physical models paired with an iPad app to cover high school chemistry topics in atomic modeling. The modeling set will include individual plastic balls representing the elements of the periodic table. Students will use an iPad app to take a picture of models they create. Using computer-generated algorithms, the app will then identify the model and generate information about its physical and chemical properties and uses. The app will also inform students if a model that is created does not exist. Happy Atoms will replace or supplement lesson plans to enhance chemistry teaching. The app will include teacher resources suggesting how to incorporate games and activities to reinforce lesson plans and learning.