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Hongyu Chen; Lu Tian; Meiqin Zhang – Journal of Chemical Education, 2023
Level 3 characteristics are increasingly important for fingerprint identification, particularly when the fingerprints are problematic and lack level 2 details. In practice, no reliable visualization methods for level 3 features are transferred into a course for the general public, forensic students, or investigators. Our group has reported the…
Descriptors: College Students, Identification, Individual Characteristics, Crime
Theobald, Elli – CBE - Life Sciences Education, 2018
Discipline-based education researchers have a natural laboratory--classrooms, programs, colleges, and universities. Studies that administer treatments to multiple sections, in multiple years, or at multiple institutions are particularly compelling for two reasons: first, the sample sizes increase, and second, the implementation of the treatments…
Descriptors: Educational Research, Hierarchical Linear Modeling, Program Implementation, Predictor Variables
Hewitt, Krissi M.; Bouwma-Gearhart, Jana; Kitada, Heather; Mason, Robert; Kayes, Lori J. – CBE - Life Sciences Education, 2019
We investigated the effects of a laboratory curriculum developed using the socio-scientific issues (SSI) framework to contextualize scientific and socially relevant issues for students. Using self-determination theory and hierarchical linear modeling, we examined the effects of the SSI curriculum relative to a control curriculum on student…
Descriptors: Introductory Courses, Biology, Science Instruction, Science Laboratories
Moreno, Mario; Harwell, Michael; Guzey, S. Selcen; Phillips, Alison; Moore, Tamara J. – School Science and Mathematics, 2016
Hierarchical linear models have become a familiar method for accounting for a hierarchical data structure in studies of science and mathematics achievement. This paper illustrates the use of cross-classified random effects models (CCREMs), which are likely less familiar. The defining characteristic of CCREMs is a hierarchical data structure…
Descriptors: Mathematics Achievement, Mathematics Instruction, Hierarchical Linear Modeling, Mathematics Curriculum
Higgs, Karyn; Magliano, Joseph P.; Vidal-Abarca, Eduardo; Martínez, Tomas; McNamara, Danielle S. – Discourse Processes: A multidisciplinary journal, 2017
Some individual difference factors are more strongly correlated with performance on postreading questions when the text is not available than when it is. The present study explores if similar interactions occur with bridging skill, which refers to a reader's propensity to establish connections between explicit text during reading. Undergraduates…
Descriptors: Task Analysis, Reading Processes, Reading Strategies, Correlation
Nissen, Jayson M.; Jariwala, Manher; Close, Eleanor W.; Van Dusen, Ben – International Journal of STEM Education, 2018
Background: High-stakes assessments, such the Graduate Records Examination, have transitioned from paper to computer administration. Low-stakes research-based assessments (RBAs), such as the Force Concept Inventory, have only recently begun this transition to computer administration with online services. These online services can simplify…
Descriptors: Research Design, College Students, Science Instruction, Physics
Pazicni, Samuel; Bauer, Christopher F. – Chemistry Education Research and Practice, 2014
The Dunning-Kruger effect is a cognitive bias that plagues a particular population of students--the unskilled. This population suffers from illusory competence, as determined by inaccurate ratings of their own ability/performance. These mistakenly high self-ratings (i.e. ''illusions of competence'') are typically explained by a metacognitive…
Descriptors: Introductory Courses, Chemistry, Science Instruction, College Science
Förtsch, Christian; Werner, Sonja; von Kotzebue, Lena; Neuhaus, Birgit J. – International Journal of Science Education, 2016
This study examined the effects of teachers' biology-specific dimensions of professional knowledge--pedagogical content knowledge (PCK) and content knowledge (CK)--and cognitively activating biology instruction, as a feature of instructional quality, on students' learning. The sample comprised 39 German secondary school teachers whose lessons on…
Descriptors: Biology, Science Teachers, Pedagogical Content Knowledge, Science Instruction
Dupuis, Josee; Coutu, Josee; Laneuville, Odette – Computers & Education, 2013
In higher education, many of the new teaching interventions are introduced in the format of audio-visual files distributed through the Internet. A pedagogical tool consisting of questions listed as learning objectives and answers presented using online videos was designed as a supplement for a molecular biology course and made available to a large…
Descriptors: Undergraduate Students, Video Technology, Scores, Molecular Biology
McGee, Steven; Nutakki, Nivedita – Journal of Urban Learning, Teaching, and Research, 2017
Urban school districts face a dilemma in providing professional development support for teachers in transition to the Next Generation Science Standards (NGSS). Districts need to maximize the quality and amount of professional development within practical funding constraints. In this paper, we discuss preliminary results from a…
Descriptors: Science Instruction, Teaching Methods, Standards, Faculty Development
Rodenbusch, Stacia E.; Hernandez, Paul R.; Simmons, Sarah L.; Dolan, Erin L. – CBE - Life Sciences Education, 2016
National efforts to transform undergraduate biology education call for research experiences to be an integral component of learning for all students. Course-based undergraduate research experiences, or CUREs, have been championed for engaging students in research at a scale that is not possible through apprenticeships in faculty research…
Descriptors: Graduation Rate, Biology, Undergraduate Students, STEM Education
Mahler, Daniela; Großschedl, Jörg; Harms, Ute – International Journal of Science Education, 2017
Teachers make a difference for the outcome of their students in science classrooms. One focus in this context lies on teachers' professional knowledge. We describe this knowledge according to three domains, namely (1) content knowledge (CK), (2) pedagogical content knowledge (PCK), and (3) curricular knowledge (CuK). We hypothesise a positive…
Descriptors: Science Instruction, Science Teachers, Foreign Countries, Pedagogical Content Knowledge
Basey, John M.; Maines, Anastasia P.; Francis, Clinton D.; Melbourne, Brett – CBE - Life Sciences Education, 2014
We compared learning cycle and expository formats for teaching about plant biodiversity in an inquiry-oriented university biology lab class (n = 465). Both formats had preparatory lab activities, a hands-on lab, and a postlab with reflection and argumentation. Learning was assessed with a lab report, a practical quiz in lab, and a multiple-choice…
Descriptors: Undergraduate Students, Hands on Science, Biology, Science Instruction
Villafañe, Sachel M.; Garcia, C. Alicia; Lewis, Jennifer E. – Chemistry Education Research and Practice, 2014
Chemistry self-efficacy has been defined as a student's beliefs about his or her own capability to perform a given chemistry task. These chemistry self-efficacy beliefs can be influenced by students' experiences in a course, and eventually, these beliefs could affect students' decisions to continue into STEM related-careers. In this study, we…
Descriptors: Chemistry, Science Instruction, Self Efficacy, Majors (Students)
Dickson, Kerry Ann; Stephens, Bruce Warren – Higher Education Pedagogies, 2016
Literature shows that attendance is an important bidirectional link in engaging students in learning. However, metacognitive awareness eludes many first-year students--particularly the disadvantaged, including those with low admission scores, English as a second language or coming from low socio-economic status (SES), migrant, or first-in-family…
Descriptors: Intervention, Lecture Method, Attendance, Scores
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