Current Projects
NLP-TIPS Natural Language Processing Technologies to Inform Practices in Science
By exploiting advances in natural language processing (NLP), NLP-TIPS detects the rich ideas students develop during everyday experience. The project takes advantage of NLP methods for detecting student ideas to design adaptive guidance that gets each student started on reconsidering their own ideas and pursuing deeper understanding. This work continues a successful partnership between University of California, Berkeley, Educational Testing Service (ETS), and science teachers and paraprofessionals from six middle schools enrolling students from diverse racial, ethnic, and linguistic groups whose cultural experiences may be neglected in science instruction.
ARISE OPEN Anti Racism Inquiry Science Education: Opportunities for a Preservice Education Network
The Anti Racism Inquiry Science Education: Opportunities for a Preservice Education Network (ARISE OPEN) project fosters the justice and equity centered pedagogy central to the Berkeley Teacher Education Program (BTEP). The ARISE OPEN partnership enables pre-service teachers
and their cooperating teachers, collaborating with teacher educators, learning scientists, and technology developers to co-design open curricula. Designs incorporate teacher and student insights into instruction integrating STEM and socio-political ideas around local justice issues. Preservice teachers localize and teach the open designs while developing teaching practices that elicit and value their students’ varied epistemologies. Cooperating teachers develop mentoring practices to support the preservice teachers as they try out the justice-centered teaching practices fostered by the open curricula.
Funding: Hewlett Foundation
Past Projects
ARISES Anti-Racism Interactive Science to Expand Success
Our Anti-Racism Interactive Science Education (ARISE) project explored how open educational resources (OERs), combined with research-tested pedagogical patterns, can be used by teachers to customize interactive science units to promote antiracism while enhancing student agency. ARISES extends on this work and responds to participating teachers’ desire for additional anti-racism units, expand to new teachers, and reformulate designs for support as teachers grapple with localizing science for their students and their communities.
The ARISES partnership includes teachers from culturally varied Bay Area schools, learning sciences researchers, science discipline experts, software designers, and advisors who are leaders in anti-racism. We identify OERs with the potential to advance anti-racism and study how these resources, when used by teachers to customize technology-rich interactive science units, can strengthen science understanding and build student agency. We investigate how incorporating anti-racism OERs can promote equity by connecting understanding of science with the commitment to oppose racism.
Funding: Hewlett Foundation
STRIDES Supporting Teachers in Responsive Instruction for Developing Expertise in Science
STRIDES supports teachers to rapidly respond to the diverse students in their classrooms. This research engages students in exploring scientific models, conducting virtual experiments, linking hands-on investigations to simulations, and explaining their thinking in essays. Leveraging advances in natural language processing, the project analyzes student written explanations to provide fine-grained summaries to teachers about strengths and weaknesses in student work. STRIDES suggests learning science-based customizations and studies how teachers use the summaries and customization suggestions to improve student progress. The researchers study how well the customizations address the learning needs of diverse students.
POWER Personalizing Open Web-based Education Resources
Personalizing Open Web-based Educational Resources (POWER) supports teachers to design curricular units using Open Educational Resources (OERs) that develop students’ self-directed learning. Self-directed learning is key to the Hewlett Foundation goal that every student and teacher have access to and ownership of activities that create deeper learning experiences.
Funding: Hewlett Foundation
PLANS Project Learning with Automated, Networked Supports
PLANS research combines investigation and analytic technologies to guide students’ design projects. PLANS is creating a genre for extensible, progressive, project learning materials that develop students’ abilities to create and test designs for contemporary problems such as climate change or energy conservation. This integration enables PLANS to research strategies for guiding students to gain coherent understanding of the science concepts, practices, and cross-cutting themes called for in the Next Generation Science Standards (NGSS).
GRIDS Graphing Research on Inquiry with Data in Science
GRIDS undertakes a comprehensive program to address the need for improved graph comprehension. The project investigates strategies to improve middle school students’ science learning by focusing on student ability to interpret and use graphs, develops supports for teachers to guide students in using graphs to deepen understanding, and to develop agency and identity as science learners. In the GRIDS project, we create, study and disseminate technology-based assessments, technologies that aid graph interpretation, instructional designs, professional development, and learning materials. We provide on-line graphing tools for teachers to teach science and students to learn science.
CLASS Continuous Learning and Automated Scoring in Science
CLASS, in partnership with ETS, investigated how to provide continuous assessment and feedback to guide students’ understanding during science inquiry learning experiences, as well as detailed guidance to teachers and administrators through a technology-enhanced system. Automated assessment activities capture students’ abilities to integrate their ideas and to form coherent scientific arguments. CLASS designed inquiry curricula featuring automated assessments for over 4,000 middle school students and 29 teachers in three diverse Northern California school districts.
VISUAL Visualizing to Integrate Science Understanding for All Learners
VISUAL was a research and development project designed to investigate, compare, and refine promising visualizations and to determine when and how they improve science learning. The project took advantage of cyberlearning by creating new tools in a powerful, open-source learning environment that readily integrated new visualizations, incorporated best practices from research, and supported researchers, designers, and teachers.
CLEAR Cumulative Learning using Embedded Assessment Results
The CLEAR project took advantage of new technologies and research findings to investigate ways that science assessments can both capture and contribute to cumulative, integrated learning of standards-based concepts in middle school courses. Our research investigated how instructional activities can help middle school students develop a cumulative, integrated understanding of energy – a unifying scientific concept that has been shown to be difficult to learn due to its complexity and abstract nature.
SURGE Scaffolding Understanding by Redesigning Games for Education
The SURGE project focused on the development of video games to support students’ articulation and connection of their evolving tacit, intuitive understandings into larger, explicit formalized structures to allow knowledge transfer and application across broader contexts relevant to Newtonian mechanics. Research efforts centered on developing and assessing design principles and learning environments that integrate research on conceptual change, cognitive processing-based design, and socio-cognitive scripting.
LOOPS Logging Opportunities in Online Programs for Science
LOOPS collected data on student progress, student responses to questions, and scores on various assessment items and presented key indicators (in real-time) of inquiry skills in a format that teachers could use – putting teachers in a feedback loop of data to help inform their choices of assessments, actions, and curriculum customizations. The LOOPS project was headed by the Concord Consortium, in a partnership effort with WISE Community members at the University of California, Berkeley and the University of Toronto.
MODELS Mentored and On-line Development of Educational Leaders for Science
MODELS was a Teacher Professional Continuum funded project that enabled middle and high schools to design and sustain school-based professional development. This professional development supported teachers as they integrated technology-enhanced science curricula into existing programs. We studied how school-based professional development improves teacher practice and student science learning.
TELS Technology Enhanced Learning in Science
The TELS project was established by the National Science Foundation as a national Center for Learning and Teaching in 2003. Our research investigated how to improve learning and instruction in science classes for students in grades 6-12, with a focus on the role that information technology can play. TELS reached more than 20,000 students and 300 teachers in over 30 diverse schools. Our research documented that students in every TELS classroom make gains in understanding complex scientific concepts, such as chemical reactions, mitosis, kinematics, and geological processes.