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Direct linkSarah N. Shakir; Ashley M. Virabouth; Mallory M. Rice – American Biology Teacher, 2025
Exam anxiety has been well-documented to reduce student performance in undergraduate biology courses, especially for students from marginalized groups, which can contribute to achievement gaps. Our exploratory study surveyed 61 undergraduate biology students to better understand how exams affect their anxiety levels, focusing on the impact of exam…
Descriptors: Undergraduate Students, College Science, Biology, Student Attitudes
De Van Vo; Geraldine Mooney Simmie – International Journal of Science and Mathematics Education, 2025
While national curricula in science education highlight the importance of inquiry-based learning, assessing students' capabilities in scientific inquiry remains a subject of debate. Our study explored the construction, developmental trends and validation techniques in relation to assessing scientific inquiry using a systematic literature review…
Descriptors: Science Education, Inquiry, Science Process Skills, Student Evaluation
Lisa A. Bonner; Jalisa H. Ferguson – Journal of College Science Teaching, 2025
Condensed courses are commonly used across academia as a means for students to catch up or get ahead of their curriculum. Instructors may be hesitant to teach such courses due to concerns about limited knowledge retention and reduced academic rigor. We sought to determine if there are any differences in changes of student attitudes before and…
Descriptors: Organic Chemistry, Science Instruction, Barriers, Academic Standards
Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Journal of Research in Science Teaching, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2025
Research-based multiple-choice questions implemented in class with peer instruction have been shown to be an effective tool for improving students' engagement and learning outcomes. Moreover, multiple-choice questions that are carefully sequenced to build on each other can be particularly helpful for students to develop a systematic understanding…
Descriptors: Physics, Science Instruction, Science Tests, Multiple Choice Tests
