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Rotou, Ourania; Rupp, André A. – ETS Research Report Series, 2020
This research report provides a description of the processes of evaluating the "deployability" of automated scoring (AS) systems from the perspective of large-scale educational assessments in operational settings. It discusses a comprehensive psychometric evaluation that entails analyses that take into consideration the specific purpose…
Descriptors: Computer Assisted Testing, Scoring, Educational Assessment, Psychometrics
Parapadakis, Dimitris – London Review of Education, 2020
The successes of using artificial intelligence (AI) in analysing large-scale data at a low cost make it an attractive tool for analysing student data to discover models that can inform decision makers in education. This article looks at the case of decision making from models of student satisfaction, using research on ten years (2008-17) of…
Descriptors: Artificial Intelligence, Prediction, Student Needs, Needs Assessment
Balaton, M. C.; Da Silva, L. F.; Carvalho, P. S. – Physics Education, 2020
In this paper, we aim to show strategies for improving graph interpretation skills at middle and high school students using OZOBOT® BIT, a small and relatively low-cost programmable robot which had been used to teach programming to young children. OZOBOT's speed can be controlled by drawing lines with colour codes, as well as through a visual…
Descriptors: Middle School Students, High School Students, Skill Development, Graphs
Kastens, Kim A.; Zrada, Melissa; Turrin, Margie – Journal of Geoscience Education, 2020
Question-asking is a necessary step towards formulating hypotheses, making decisions, and solving problems, and is Practice #1 in the Next Generation Science Standards. To improve question-asking, educators and researchers need a way to categorize and evaluate students' questions, so as to judge whether an intervention has been effective. We…
Descriptors: Undergraduate Students, Problem Solving, Data Collection, Visualization
Grooms, Jonathon – Journal of Chemical Education, 2020
This study focuses on how the quality of students' arguments and their conceptions of data and evidence change as a result of experiencing two types of laboratory courses, one employing a scripted inquiry approach and the other employing argument-driven inquiry. The analysis explores the connections between students' conceptions of data and…
Descriptors: Science Instruction, College Science, Undergraduate Study, Persuasive Discourse
Ward, Robin A.; Albritton, Jennifer – Mathematics Teacher: Learning and Teaching PK-12, 2020
Connections is one of the Process Standards set forth by the National Council of Teachers of Mathematics (NCTM 2000), whereby teachers provide students with learning opportunities to "recognize and apply mathematics in contexts outside of mathematics." Similarly, the Standards for Mathematical Practice (NGA Center and CCSSO 2010) call…
Descriptors: Mathematics Instruction, Geometric Concepts, Grade 2, Elementary School Mathematics
Davis, Susannah C.; Peck, Charles A. – Teachers College Record, 2020
Background/Context: Contemporary accountability policies in teacher education often require that programs systematically use data for program improvement (Council for the Accreditation of Educator Preparation, 2013). However, social science research from multiple fields of human service suggests that the challenges of using data involve much more…
Descriptors: Data Use, Program Improvement, Teacher Education Programs, Educational Policy
Sahin, Harun; Akinci, Muhammed – Malaysian Online Journal of Educational Sciences, 2020
This research aims to determine the trends of the studies about in-service teacher training in Turkey. It is a descriptive study using document analysis based on qualitative research method. Various databases were searched and 56 articles about in-service teacher training between 2012 and 2019 were used and included in the study. The data of the…
Descriptors: Foreign Countries, Educational Research, Educational Trends, Inservice Teacher Education
Husband, Gary – Education Sciences, 2020
This article explores the complex relationship between researcher and respondent through shared experience and interaction in the interview processes. Ethical considerations related to the balance of power and potential for change in respondents' professional actions and decisions post-interview are discussed whilst problematizing the concept of…
Descriptors: Ethics, Data Collection, Semi Structured Interviews, Qualitative Research
Snodgrass, Jeffrey G.; Clements, Kaylin R.; Nixon, William Cody; Ortega, Cynthia; Lauth, Samantha; Anderson, Michelle – Field Methods, 2020
We present a qualitative data analysis framework that integrates perspectives from theme analysis, cultural models analysis, grounded theory, and content analysis. We demonstrate how these research traditions are united in their aim to, first, uncover meaningful themes and, subsequently, to understand those themes' relationships to each other. To…
Descriptors: Qualitative Research, Data Analysis, Content Analysis, Grounded Theory
Wang, Chun; Nydick, Steven W. – Journal of Educational and Behavioral Statistics, 2020
Recent work on measuring growth with categorical outcome variables has combined the item response theory (IRT) measurement model with the latent growth curve model and extended the assessment of growth to multidimensional IRT models and higher order IRT models. However, there is a lack of synthetic studies that clearly evaluate the strength and…
Descriptors: Item Response Theory, Longitudinal Studies, Comparative Analysis, Models
Bieda, Kristen N.; Salloum, Serena J.; Hu, Sihua; Sweeny, Shannon; Lane, John; Torphy, Kaitlin – Journal of Classroom Interaction, 2020
This paper discusses the challenges and lessons learned from conducting observations to measure the quality of classroom practice for a large-scale study of elementary teachers' mathematics instruction. Specifically, this paper shares our process for obtaining valid data for quality of elementary mathematics instruction; what we learned can inform…
Descriptors: Mathematics Instruction, Classroom Observation Techniques, Elementary School Teachers, Interrater Reliability
De Laet, Tinne; Millecamp, Martijn; Ortiz-Rojas, Margarita; Jimenez, Alberto; Maya, Ricardo; Verbert, Katrien – British Journal of Educational Technology, 2020
This paper presents a case study on the adoption and the impact of new modules in a learning analytics dashboard supporting the dialogue between student advisors and students when advising on a study plan for the next academic semester in Escuela Superior Politecnica del Litoral, a higher education institute in Ecuador. The impact and the adoption…
Descriptors: Learning Analytics, Faculty Advisers, Teacher Student Relationship, Higher Education
Chang, Dian-Fu; ChangTzeng, Hsiao-Chi – Studies in Higher Education, 2020
This study considers patterns of participation according to gender in post-mass higher education from the perspective of higher education expansion in Taiwan. Becker's "D" coefficient ("D") is used to detect the patterns of gender parity in a 'critical mass' field in higher education. The study compared participation in STEM…
Descriptors: Student Participation, Gender Issues, Humanities, STEM Education
Pangrazio, Luci; Sefton-Green, Julian – Learning, Media and Technology, 2020
This article examines the social utility of the concept, 'data literacy'. Recent developments in the processes of datafication challenge long-held assumptions about privacy and the role of both state and commerce in individual lives. Typically, these have been addressed through: "regulatory" legal constraints underwritten by the nation…
Descriptors: Data Analysis, Literacy, Privacy, Government Role