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Amy Adair – ProQuest LLC, 2024
Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…
Descriptors: Artificial Intelligence, Evaluation Methods, Scaffolding (Teaching Technique), Mathematics
Amy Adair; Michael Sao Pedro; Janice Gobert; Jessica A. Owens – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…
Descriptors: Student Evaluation, Mathematical Models, Competence, Scientific Research
Janice D. Gobert; Michael A. Sao Pedro; Haiying Li; Christine Lott – Grantee Submission, 2023
In this entry, we define Intelligent Tutoring Systems (ITSs) and present a description of their core components. We outline a history of the development of ITSs with a focus on key issues that have driven change and innovation in ITSs from their inception to present day. We also present a brief case study on a specific ITS, Inq-ITS (Inquiry…
Descriptors: Intelligent Tutoring Systems, Student Evaluation, Evaluation Methods, Natural Language Processing
Unlu, Serkan; Kiray, Seyit Ahmet – Online Submission, 2022
This book has been prepared to introduce common technological tools that can be used in science education in the distance education process. Although most of the applications introduced in the book are used in face-to-face education, this book focuses on their use in the distance science education process. In the Introduction part of the book, the…
Descriptors: Computer Software, Videoconferencing, Distance Education, Pandemics
Chen, Sufen – Computers & Education, 2010
With an increasing number of studies evincing the effectiveness of simulation-based virtual laboratories (VLs), researchers have discussed replacing traditional laboratories. However, the approach of doing science endorsed by VLs has not been carefully examined. A survey of 233 online VLs revealed that hypothetico-deductive (HD) logic prevails in…
Descriptors: Laboratories, Scientific Literacy, Science Education, Inquiry
Frezzo, Dennis C.; Behrens, John T.; Mislevy, Robert J. – Journal of Science Education and Technology, 2010
Simulation environments make it possible for science and engineering students to learn to interact with complex systems. Putting these capabilities to effective use for learning, and assessing learning, requires more than a simulation environment alone. It requires a conceptual framework for the knowledge, skills, and ways of thinking that are…
Descriptors: Computer Simulation, Computer Networks, Educational Environment, Models
Quellmalz, Edys S.; Davenport, Jodi L.; Timms, Michael J.; DeBoer, George E.; Jordan, Kevin A.; Huang, Chun-Wei; Buckley, Barbara C. – Journal of Educational Psychology, 2013
How can assessments measure complex science learning? Although traditional, multiple-choice items can effectively measure declarative knowledge such as scientific facts or definitions, they are considered less well suited for providing evidence of science inquiry practices such as making observations or designing and conducting investigations.…
Descriptors: Science Education, Educational Assessment, Psychometrics, Science Tests
Vallance, Michael; Martin, Stewart; Wiz, Charles; van Schaik, Paul – International Journal of Virtual and Personal Learning Environments, 2010
Science education is concerned with the meaningful pursuit of comprehension, knowledge and understanding of scientific concepts and processes. In Vygotskian social constructivist learning, personal interpretation, decision-making and community cooperation fosters long-term understanding and transference of learned concepts. The construction of…
Descriptors: Instructional Design, Science Instruction, Science Education, Computer Simulation

Baxter, Gail P. – Journal of Science Education and Technology, 1995
Two methods of assessing student learning of a hands-on instructional unit are compared. One method involves manipulation of concrete materials, and the other method involves manipulation of icons on a computer to solve an electric circuits problem. Sixth-grade students in an inquiry-based science program completed both assignments. (LZ)
Descriptors: Computer Assisted Testing, Computer Simulation, Computer Uses in Education, Computers
Khan, Badrul, Ed. – Information Science Publishing, 2007
Flexible Learning in an Information Society uses a flexible learning framework to explain the best ways of creating a meaningful learning environment. This framework consists of eight factors--institutional, management, technological, pedagogical, ethical, interface design, resource support, and evaluation--and a systematic understanding of these…
Descriptors: Educational Environment, Learning, Satisfaction, Student Surveys
Smith, Laura M.; And Others – 1993
As part of a series of documents describing assessment of student learning in various curriculum areas in South Carolina, this document reviews the assessment of student learning in the science classroom. The report begins with a discussion of effective science learning, and outlines the knowledge, skills, and dispositions that encompass science…
Descriptors: Academic Achievement, Alternative Assessment, Computer Simulation, Curriculum Development
Blasi, Laura; Alfonso, Berta – Simulation & Gaming, 2006
Building and evaluating artifacts specifically for K-12 education, technologists committed to design sciences are needed along with an approach to evaluation increasing the systemic transfer from research and development into school settings. The authors describe THE VIRTUAL LAB scanning electronic microscope simulation, including (a) its…
Descriptors: Research and Development, Formative Evaluation, Science Laboratories, Qualitative Research