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.
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TEAM MEMBERS:
Shuchi GroverMarie BienkowskiJohn Stamper
Education stakeholders from advocates to developers are increasingly recognizing the potential of science games in advancing student academic motivation for and interest in science and science careers. To maximize this potential, the project will use science games (e.g. Land Science, River City, and EcoMUVE), shown to be enjoyable to students and proven to promote student learning in science at the middle school level. Through a two-phase process, games will be used as vehicles for learning about ways to change how students think about science and potentially STEM careers. The goal of the intervention is to explore which processes and design features of science games will actually help students move beyond a temporary identity of being a scientist or engineer (as portrayed while playing the game) to one where students began to see themselves in real STEM careers. Students' participation will be guided by teams of teachers, faculty members, and graduate students from Drexel University and a local school. All science students attending the local inner city middle school in Philadelphia, PA, will participate in the intervention.
Using an exploratory mixed-method design, the first two years of the project will focus on exploring, characterizing, coding, and analyzing data sets from three large games designed to help students think about possible careers in science. During year 3, the project will integrate lessons learned from the first two years into the existing middle school science curriculum to engage students in a one-year intervention using PCaRD (Play Curricular activity Reflection Discussion). During the intervention, the PI will work with experts from Drexel University and a local school to collect data on the design features of Land Science to capture identity change in the science identity of the participating students. Throughout the course of year 3, the PI will observe, video, interview, survey, and use written tasks to uncover if the Land Science game is influencing students' identity in any way (from a temporary to a long-term perspective about being a scientist or engineer). Data collected during three specified waves during the intervention will be compared to analyses of existing logged data through collaborations with researchers at Harvard University and the University of Wisconsin-Madison. These comparisons will focus on similar middle-aged science students who used the same gaming environments as the students involved in this study. However, the researcher will intentionally look for characteristics related to motivation, science knowledge, and science identity change.
This project will integrate research and education to investigate learning as a process of change in student science identity within situated environmental contexts of digital science gameplay around curricular and learning activities. This integrated approach will allow the researcher to explore how gaming is inextricably linked to the student as an individual while involved in the learning of domain specific content in science. The collaboration among major university and school partners; the expertise of the researcher in educational psychology, educational technology, and science games; and the project's advisory board makes this a real-life opportunity for the researcher to use information that naturally exists in games to advance knowledge in the field about the value of gaming to changing students' science identities. It also responds to reports by the National Research Council committee on science learning and computer games, which identifies games as having the potential to catalyze new approaches to science learning.
Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data literate society. Yet conspicuously absent from the big data revolution is the field of teaching and learning. The revolution in big data must match a complementary revolution in a new kind of literacy, through a significant infusion of STEM education with the kinds of skills that the revolution in 21st century data-driven science demands. This project represents a concerted effort to determine what it means to be a big data literate citizen, information worker, researcher, or policymaker; to identify the quality of learning resources and programs to improve big data literacy; and to chart a path forward that will bridge big data practice with big data learning, education and career readiness.
Through a process of inquiry research and capacity-building, New York Hall of Science will bring together experts from member institutions of the Northeast Big Data Innovation Hub to galvanize big data communities of practice around education, identify and articulate the nature and quality of extant big data education resources and draft a set of big data literacy principles. The results of this planning process will be a planning document for a Big Data Literacy Spoke that will form an initiative to develop frameworks, strategies and scope and sequence to advance lifelong big data literacy for grades P-20 and across learning settings; and devise, implement, and evaluate programs, curricula and interventions to improve big data literacy for all. The planning document will articulate the findings of the inquiry research and evaluation to provide a practical tool to inform and cultivate other initiatives in data literacy both within the Northeast Big Data Innovation Hub and beyond.
DACUM (Developing A CUrriculuM) was developed in Canada in the 1980s as a tool for industry to improve training. It has been championed in the USA by the Center for Education for Employment at The Ohio State University where they have conducted thousands of DACUMs and trained scores of people to conduct them. As used today, DACUM is a unique, innovative, and very effective method of job, and/or occupational analysis. It is also very effective for conducting process and functional analyses. The DACUM analysis workshop itself involves a trained DACUM facilitator and a committee of 5-12 expert
This review is a short synthesis of some of the literature around learning in adulthood, professional learning, professional learning frameworks, and models of professional learning frameworks. Its primary purpose is to inform the development of an interview protocol for the exploration of building a professional learning framework with a secondary purpose of providing richer shared language and understanding around some of the central constructs of a professional learning framework for the informal science education community and other informal learning environments.
This project, conducted by the University of Pittsburgh and the University of California, Berkeley, seeks to discover what makes middle school students engaged in science, technology, engineering, and mathematics (STEM). The researchers have developed a concept known as science learning activation, including dispositions, practices, and knowledge leading to successful STEM learning and engagement. The project is intended to develop and validate a method of measuring science learning activation.
The first stage of the project involves developing the questions to measure science activation, with up to 300 8th graders participating. The second stage is a 16-month longitudinal study of approximately 500 6th and 8th graders, examining how science learning activation changes over time. The key question is what are the influencers on science activation, e.g., student background, classroom activities, and outside activities.
This project addresses important past research showing that middle school interest in STEM is predictive of actually completing a STEM degree, suggesting that experiences in middle school and even earlier may be crucial to developing interest in STEM. This research goes beyond past work to find out what are the factors leading to STEM interest in middle school.
This work helps the Education and Human Resources directorate, and the Division of Research on Learning, pursue the mission of supporting STEM education research. In particular, this project focuses on improving STEM learning, as well as broadening participation in STEM education and ultimately the STEM workforce.
The trend of utilising open learning environments and informal learning sources has a clear link to outdoor education, which bridges the gap between formal education and informal learning. According to the findings related to informal learning and its relevance to early professional development, the crucial era seems to be the first 3 years as an inexperienced teacher. Despite the long history, outdoor education needs new research methods. In Finland, the new National Curriculum 2016 underlines teaching of this “phenomenon” besides the traditional subject orientated teaching. This challenges
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TEAM MEMBERS:
Hannu SalmiArja KaasinenLiisa Suomela
Dinosaurs have been a very popular science topic since signs of their presence on earth were first discovered. They have represented so-called ‘edutainment’ for some people. Learning from informal sources and in- an out-of-school environment can be effective and motivating. In this study, 12-year-old pupils (N = 366) visited a dinosaur science centre exhibition in Finland. Pupils were tested with standardised tests of motivation as defined by self-determination theory, cognitive skills, and interest via pre-, post-, and delayed post-tests during a six-month period. Findings show that pupils
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TEAM MEMBERS:
Hannu SalmiHelena ThunebergMari-Pauliina Vainikainen
The aim of the study was to analyse learning using Augmented Reality (AR) technology and the motivational and cognitive aspects related to it in an informal learning context. The 146 participants were 11- to 13-year-old Finnish pupils visiting a science centre exhibition. The data, which consisted of both cognitive tasks and self-report questionnaires, were collected using a pre- post-test design and were analysed by SEM path-analysis. The results showed that AR-technology experience was beneficial for all, but especially for the lowest-achieving group and for the girls. In general, pre
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TEAM MEMBERS:
Hannu SalmiHelena ThunebergMari-Pauliina Vainikainen
This report details the formative evaluation study conducted through collaboration with the National Science Teachers Association (NSTA) and the Association of Science-Technology Centers (ASTC) to inform the iterative development and piloting of the Connected Science Learning: Connecting In-School and Out-of-School STEM Learning journal. The journal was the result of an Early Concept Grant for Exploratory Research (EAGER) project funded by the National Science Foundation (NSF) to develop, disseminate and evaluate a new resource for connecting STEM education practitioners across settings and to
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 Eco, an online multiplayer virtual environment and game designed to enhance middle school students' knowledge of ecology and environmental literacy. This is important because according to the 2011 National Assessment of Educational Progress, students in the United States ranked 17th in science among the world's most developed countries, and over a third of eighth-graders scored below basic level, the lowest performance level. The Framework for 21st Century Skills presents the need for education materials that engage students and use technology effectively, meet rigorous content and skill standards, foster interdisciplinary work, and promote collaborative problem solving.
Project Activities: During Phase I (completed in 2014), the team developed a prototype of Eco consisting of a system architecture that enabled user-controlled avatars to complete basic tasks. At the end of Phase I, a pilot study with 60 students from five classrooms demonstrated that the prototype functioned as intended, that students found the game to be engaging, and that students were able to collaborate with classmates during gameplay. In Phase II the developers will strengthen functionality, add content, and build a teacher dashboard to track student data and house implementation resources. After development is complete, the team will conduct a pilot study to assess the feasibility and usability, fidelity of implementation, and the promise of the game for promoting students' ecosystem learning and environmental literacy. The researchers will collect data from 150 students in 10 classrooms. Half of the classrooms will be randomly assigned to use Eco to supplement standard classroom instruction while the other half will continue with normal practice. Analyses will compare pre-and-post scores of student's ecology knowledge and environmental literacy.
Product: Eco will be a multi-player game to teach standards in ecology and prepare middle schools students to be environmentally literate citizens. To play the game, students will enter a shared online world featuring a simulated ecosystem of plants and animals. Students will co-create a civilization by measuring, modeling, and analyzing the underlying ecosystem. Students will advocate for proposed plans to classmates and make decisions as a group. Cooperation and science-based decision making activities will occur, in order to prevent the destruction of the environment. The game will include teacher resources to support the alignment of game play to learning goals, and implementation.