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Download full textSalazar R., Emanuel; Obaya V., Adolfo Eduardo; Giammatteo, Lucila; Vargas-Rodríguez, Yolanda – Online Submission, 2019
The didactic sequence relates atomic structure concepts (matter structure) with the different models that have been proposed to improve its study, making use of didactic elements that are related to students' reality where they become responsible of constructing knowledge by means of significant learning. Results were analyzed with Hake's gain…
Descriptors: Models, High School Students, Constructivism (Learning), Chemistry
Peer reviewedGray, Patricia; Germuth, Amy; MacNair, Jessica; Simpson, Claire; Sowa, Sarah; van Duin, Nancy; Walker, Claudia – Journal of Interdisciplinary Teacher Leadership, 2019
This two-year case study examined multi-modal, interdisciplinary approaches to engage both immigrant English Second Language (ESL) and English Language Learners (ELL) in STEM (science, technology, engineering, math) learning and to build STEM identity and self-efficacy. Leveraging innate abilities, multiple intelligences, and self-identified…
Descriptors: Models, STEM Education, Self Concept, English Language Learners
Direct linkLee, Christine S.; Hayes, Kathryn N.; Seitz, Jeffery; DiStefano, Rachelle; O'Connor, Dawn – International Journal of Science Education, 2016
Middle school has been documented as the period in which a drop in students' science interest and achievement occurs. This trend indicates a lack of motivation for learning science; however, little is known about how different aspects of motivation interact with student engagement and science learning outcomes. This study examines the…
Descriptors: Middle School Students, Science Instruction, Student Motivation, Science Interests
Nye, Gloria T. – 1991
The Knowledge Engineering for Young Scholars (KEYS) Program was a National Science Foundation (NSF) program conducted at Louisiana State University during 1989 and 1990. The program's goals were to increase 8th-12th grade students' exposure to science, acquaint them with university research, stimulate interest in science, and build their…
Descriptors: Artificial Intelligence, Career Awareness, Computers, Decision Making
