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Sengupta, Pratim; Krinks, Kara D.; Clark, Douglas B. – Journal of the Learning Sciences, 2015
How does deep conceptual change occur when students play well-designed educational games? To answer this question, we present a case study in the form of a microgenetic analysis of a student's processes of knowledge construction as he played a conceptually-integrated digital game (SURGE Next) designed to support learning about Newtonian mechanics.…
Descriptors: Educational Games, Physics, Science Instruction, Technology Uses in Education
Vitale, Jonathan M.; Lai, Kevin; Linn, Marcia C. – Journal of Research in Science Teaching, 2015
We present a new system for automated scoring of graph construction items that address complex science concepts, feature qualitative prompts, and support a range of possible solutions. This system utilizes analysis of spatial features (e.g., slope of a line) to evaluate potential student ideas represented within graphs. Student ideas are then…
Descriptors: Scoring, Graphs, Scientific Concepts, Prompting
Acar, Ömer; Türkmen, Lütfullah; Bilgin, Ahmet – EURASIA Journal of Mathematics, Science & Technology Education, 2015
We examined the influence of several students' cognitive and motivational factors on 8th graders' science achievement and also gender differences on factors that significantly contribute to the science achievement model. A total of 99 girls and 83 boys responded all the instruments used in this study. Results showed that girls outperformed boys on…
Descriptors: Gender Differences, Science Achievement, Grade 8, Student Motivation
Kai, Shiming; Paquette, Luc; Baker, Ryan S.; Bosch, Nigel; D'Mello, Sidney; Ocumpaugh, Jaclyn; Shute, Valerie; Ventura, Matthew – International Educational Data Mining Society, 2015
Increased attention to the relationships between affect and learning has led to the development of machine-learned models that are able to identify students' affective states in computerized learning environments. Data for these affect detectors have been collected from multiple modalities including physical sensors, dialogue logs, and logs of…
Descriptors: Video Technology, Interaction, Physics, Affective Behavior
Amador, Julie M.; Soule, Terence – Mathematics Teaching in the Middle School, 2015
By 2020, five of the top ten in-demand jobs in the United States will be in information technology (Moeller 2012). Companies across the nation are seeking a new type of employee: one who is computer savvy and who is familiar with computer coding, data, mathematics, and augmented reality (Leber 2013). Recent reports indicate that, although students…
Descriptors: Mathematics Instruction, Secondary School Mathematics, Middle School Students, Females
Sao Pedro, Michael A.; Baker, Ryan S. J. d.; Gobert, Janice D. – Grantee Submission, 2013
When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…
Descriptors: Educational Research, Data Collection, Data Analysis, Generalizability Theory
Kocakulah, Sabri; Ustunluoglu, Evrim; Kocakulah, Aysel – Asia-Pacific Forum on Science Learning and Teaching, 2005
The effectiveness of teaching academic courses such as mathematics and science in a foreign language has been investigated by several international studies in the literature. Even though the studies conducted have brought up contradictory results, most of them reveal that learning academic courses through a foreign language medium may pose…
Descriptors: Foreign Countries, Instructional Effectiveness, Second Language Learning, Energy