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Zoechling, Sarah; Hopf, Martin; Woithe, Julia; Schmeling, Sascha – International Journal of Science Education, 2022
Given the importance of fostering students' interest as a goal of physics education in meeting international science standards, empirical support for the theoretical description of the interest construct is essential. Empirical studies require the use of psychometrically sound measurement instruments. This study developed an instrument to measure…
Descriptors: Student Interests, Science Interests, Physics, Science Education
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Bonner, Sarah; Chen, Peggy; Jones, Kristi; Milonovich, Brandon – Applied Measurement in Education, 2021
We describe the use of think alouds to examine substantive processes involved in performance on a formative assessment of computational thinking (CT) designed to support self-regulated learning (SRL). Our task design model included three phases of work on a computational thinking problem: forethought, performance, and reflection. The cognitive…
Descriptors: Formative Evaluation, Thinking Skills, Metacognition, Computer Science Education
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Yunjiu, Luo; Wei, Wei; Zheng, Ying – SAGE Open, 2022
Artificial intelligence (AI) technologies have the potential to reduce the workload for the second language (L2) teachers and test developers. We propose two AI distractor-generating methods for creating Chinese vocabulary items: semantic similarity and visual similarity. Semantic similarity refers to antonyms and synonyms, while visual similarity…
Descriptors: Chinese, Vocabulary Development, Artificial Intelligence, Undergraduate Students