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Vardakosta, Eirini; Priniotakis, Georgios; Papoutsidakis, Michail; Sigala, Marisa; Nikolopoulos, Dimitrios – European Journal of Educational Research, 2022
This paper investigates the viewpoints and perspectives of 179 undergraduate students engaged in a co-creation project regarding their anticipated progress, exploring, simultaneously, the affecting factors. The students attended the physics course in the Department of Industrial Design and Production Engineering at the University of West Attica,…
Descriptors: Multivariate Analysis, Student Attitudes, Correlation, Expectation
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Antonelli, Tomás M.; Olivieri, Alejandro C. – Journal of Chemical Education, 2020
During a short chemometrics course in the seventh semester of the chemistry undergraduate program, students receive a brief theoretical introduction to multivariate calibration, focused on partial least-squares regression as the most commonly employed data processing tool. The theory is complemented with the use of MVC1_R, an easy-to-use software…
Descriptors: Advanced Students, Undergraduate Students, Chemistry, Science Instruction
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Brandriet, Alexandra; Rupp, Charlie A.; Lazenby, Katherine; Becker, Nicole M. – Chemistry Education Research and Practice, 2018
Analyzing and interpreting data is an important science practice that contributes toward the construction of models from data; yet, there is evidence that students may struggle with making meaning of data. The study reported here focused on characterizing students' approaches to analyzing rate and concentration data in the context of method of…
Descriptors: Mathematical Models, Multivariate Analysis, Qualitative Research, Introductory Courses
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Perez-Arribas, Luis Vicente; Leon-González, María Eugenia; Rosales-Conrado, Noelia – Journal of Chemical Education, 2017
With the final objective of using computational and chemometrics tools in the chemistry studies, this paper shows the methodology and interpretation of the Principal Component Analysis (PCA) using pollution data from different cities. This paper describes how students can obtain data on air quality and process such data for additional information…
Descriptors: Science Instruction, Chemistry, Teaching Methods, Computer Assisted Instruction
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Battaglia, Onofrio Rosario; Di Paola, Benedetto; Fazio, Claudio – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Research in Science Education has shown that often students need to learn how to identify differences and similarities between descriptive and explicative models. The development and use of explicative skills in the field of thermal science has always been a difficult objective to reach. A way to develop analogical reasoning is to use in Science…
Descriptors: Logical Thinking, Learning Activities, Science Instruction, Scientific Concepts
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Eren-Sisman, E. N.; Cigdemoglu, C.; Geban, O. – Chemistry Education Research and Practice, 2018
This study aims to compare the effectiveness of a Peer-Led Team Learning (PLTL) model with that of traditional college instruction (TCI) in enhancing the conceptual understanding and reducing both the state anxiety and social anxiety of undergraduate engineering students in a general chemistry course in a quasi-experimental design. 128 engineering…
Descriptors: Undergraduate Students, Anxiety, Engineering Education, Quasiexperimental Design
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Nissen, Jayson M.; Shemwell, Jonathan T. – Physical Review Physics Education Research, 2016
There is growing evidence of persistent gender achievement gaps in university physics instruction, not only for learning physics content, but also for developing productive attitudes and beliefs about learning physics. These gaps occur in both traditional and interactive-engagement (IE) styles of physics instruction. We investigated one gender gap…
Descriptors: Introductory Courses, Physics, STEM Education, College Science
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Raker, Jeffrey R.; Reisner, Barbara A.; Smith, Sheila R.; Stewart, Joanne L.; Crane, Johanna L.; Pesterfield, Les; Sobel, Sabrina G. – Journal of Chemical Education, 2015
A national survey of inorganic chemists explored the self-reported topics covered in in-depth inorganic chemistry courses at the postsecondary level; an in-depth course is defined by the American Chemical Society's Committee on Professional Training as a course that integrates and covers topics that were introduced in introductory and foundation…
Descriptors: Inorganic Chemistry, National Surveys, College Faculty, Teacher Surveys
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Raker, Jeffrey R.; Reisner, Barbara A.; Smith, Sheila R.; Stewart, Joanne L.; Crane, Johanna L.; Pesterfield, Les; Sobel, Sabrina G. – Journal of Chemical Education, 2015
A national survey of inorganic chemists explored the self-reported topics covered in foundation-level courses in inorganic chemistry at the postsecondary level; the American Chemical Society's Committee on Professional Training defines a foundation course as one at the conclusion of which, "a student should have mastered the vocabulary,…
Descriptors: Science Instruction, Inorganic Chemistry, College Science, Undergraduate Study
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Brown, S. J.; White, S.; Power, N. – Advances in Physiology Education, 2017
Using an educational data mining approach, first-year academic achievement of undergraduate nursing students, which included two compulsory courses in introductory human anatomy and physiology, was compared with achievement in a final semester course that transitioned students into the workplace. We hypothesized that students could be grouped…
Descriptors: Introductory Courses, Anatomy, Nursing Education, Physiology
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Kramer, Maxwell; Olson, Dalay; Walker, J. D. – CBE - Life Sciences Education, 2018
Explicit emphasis on teaching science process skills leads to both gains in the skills themselves and, strikingly, deeper understanding of content. Here, we created and tested a series of online, interactive tutorials with the goal of helping undergraduate students develop science process skills. We designed the tutorials in accordance with…
Descriptors: Design, Tutorial Programs, Science Process Skills, Science Instruction
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Bailey, Janelle M.; Lombardi, Doug; Cordova, Jacqueline R.; Sinatra, Gale M. – Physical Review Physics Education Research, 2017
Two motivational factors--self-efficacy and interest--may be especially relevant to deepening students' understanding of astronomy. We examined the relationship between students' self-efficacy for, interest in learning about, and changes in their knowledge of stars, as measured by the Star Properties Concept Inventory (SPCI). Approximately 700…
Descriptors: Astronomy, Self Efficacy, Science Instruction, Student Interests
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Taasoobshirazi, Gita; Heddy, Benjamin; Bailey, MarLynn; Farley, John – Instructional Science: An International Journal of the Learning Sciences, 2016
The present study used the Cognitive Reconstruction of Knowledge Model (CRKM) model of conceptual change as a framework for developing and testing how key cognitive, motivational, and emotional variables are linked to conceptual change in physics. This study extends an earlier study developed by Taasoobshirazi and Sinatra ("J Res Sci…
Descriptors: Models, Change, Physics, Scientific Concepts
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Eija, Yli-Panula; Eila, Jeronen; Pongsakdi, Nonmanut – Center for Educational Policy Studies Journal, 2017
Individuals' perceptions of their knowledge can have an important role in shaping their cognition and influencing their behaviour. However, there has been a scarcity of studies in biology on how perceived knowledge relates to actual knowledge. The focus of this article is on quantitative results analysing and interpreting student teachers'…
Descriptors: Preservice Teachers, Science Instruction, Student Teachers, Student Teacher Attitudes
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Galloway, Kelli R.; Bretz, Stacey Lowery – Chemistry Education Research and Practice, 2015
The Meaningful Learning in the Laboratory Instrument (MLLI) was designed to measure students' cognitive and affective learning in the university chemistry laboratory. The MLLI was administered at the beginning and the end of the first semester to first-year university chemistry students to measure their expectations and experiences for learning in…
Descriptors: Multivariate Analysis, Cognitive Processes, Affective Behavior, Science Instruction
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