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Annetta, Leonard; Lamb, Richard; Bressler, Denise M.; Vallett, David B. – International Journal of Game-Based Learning, 2020
The purpose of this study was to identify the underlying cognitive attributes used during the design and development of science-based serious educational games. Study methods rely on a modification of cognitive diagnostics, item response theory, and Bayesian estimation with traditional statistical techniques such as factor analysis and model fit…
Descriptors: Educational Games, Cognitive Processes, Artificial Intelligence, 21st Century Skills
Güven, Ismail; Gulbahar, Yasemin – Social Studies, 2020
Computational Thinking (CT) has recently been addressed as one of the key skills for the twenty-first century. Integrating CT into different subject areas of K-12 education is also now widely accepted to improve the quality of instruction. In that sense, it is important to enable educators and researchers to recognize how to integrate…
Descriptors: Thinking Skills, Computer Science, Social Studies, 21st Century Skills
Arnold, Pip; Pfannkuch, Maxine – set: Research Information for Teachers, 2020
Statistical investigations, a thread within the statistics strand of the mathematics and statistics learning area (Ministry of Education, 2007), are underpinned by the statistical enquiry cycle. As teachers introduce their students to the statistical enquiry cycle, they are supporting their students to become data detectives, posing and answering…
Descriptors: Novices, Statistics, Active Learning, Inquiry
Harrison, Michaela J. – International Journal of Research & Method in Education, 2020
Primarily methodological in its orientation, this paper offers a presentation of 'research outcomes' in ways that challenge and disrupt commonplace notions of data and analysis. In an attempt to write against the grain of conventional qualitative research practice and to experiment with alternative encounters with data and analysis, I present…
Descriptors: Educational Philosophy, Writing (Composition), Criticism, Undergraduate Students
Swinton, Jonathan J.; Killian, Tasha; Wray, Paige – Journal of Extension, 2020
When completing a needs assessment, Extension professionals should include both objective county data and stakeholder input data. Specifically, Extension professionals should identify potential areas of need, source available objective data, source data from relevant county stakeholders, and analyze similarities and differences in objective and…
Descriptors: Needs Assessment, Rural Areas, Extension Agents, Data Analysis
Cooke, Mandy; Francisco, Susanne; Press, Frances; Wong, Sandie – Journal of Early Childhood Research, 2020
The theory of practice architectures is a useful theoretical, methodological and analytical tool for educational research. The use of the theory is emerging as germane in early childhood education research. This article explores concepts from the theory as applied in an early childhood education research project. The article focuses on the concept…
Descriptors: Early Childhood Education, Educational Research, Data Collection, Educational Researchers
Brown, James A. L. – Journal of Biological Education, 2020
To succeed, undergraduate science students need to both acquire knowledge, and learn to apply it effectively. Here a novel 1st year undergraduate module (incorporating blended learning, applied bioinformatic skills and scientific posters) is described and its effectiveness evaluated (quantitatively and qualitatively). The aims were to engage…
Descriptors: Foreign Countries, Undergraduate Students, Science Process Skills, Hands on Science
Cumming, Joy; Goldstein, Harvey; Hand, Kirstine – Educational Assessment, Evaluation and Accountability, 2020
In Australia, under the National Assessment Plan, educational accountability testing in literacy and numeracy (NAPLAN) is undertaken with all students in Years 3, 5, 7 and 9 to monitor student achievement and inform policy. However, the extent to which these data have been analysed to report student progress is limited. This article reports a…
Descriptors: Accountability, Data Use, Indigenous Populations, Foreign Countries
Bartholomew, Scott; Strimel, Greg; Byrd, Vetria; Santana, Vanessa; Otto, Jackson; Laureano, Zach; DeRome, Brian – Technology and Engineering Teacher, 2020
By exposing students to the concept of digital agriculture earlier in their lives, they will be able to develop the proper mindset to advance the field further when they enter the professional world. Engaging students in activities such as the one described here, which center on the Grand Engineering Challenges and socially relevant contexts, may…
Descriptors: Data Use, Agriculture, Agricultural Occupations, Agricultural Production
Litke, Erica; Hill, Heather C. – Elementary School Journal, 2020
Understanding and analyzing data is a crucial aspect of quantitative literacy in the 21st century, leading scholars and policy makers to push for more rigorous instruction in this area rooted in statistical investigation. In this study, we examine 144 upper-elementary mathematics lessons on data and statistics topics to assess the extent to which…
Descriptors: Mathematics Instruction, Elementary School Students, Graphs, Statistics
Jansen, Renée S.; van Leeuwen, Anouschka; Janssen, Jeroen; Kester, Liesbeth – Frontline Learning Research, 2020
To be successful in online education, learners should be able to self-regulate their learning due to the autonomy offered to them. Accurate measurement of learners' self-regulated learning (SRL) in online education is necessary to determine which learners are in need of support and how to best offer support. Trace data is gathered automatically…
Descriptors: Learning Strategies, Online Courses, Electronic Learning, Data Collection
Tsai, Yi-Shan; Perrotta, Carlo; Gaševic, Dragan – Assessment & Evaluation in Higher Education, 2020
The emergence of personalised data technologies such as learning analytics is framed as a solution to manage the needs of higher education student populations that are growing ever more diverse and larger in size. However, the current approach to learning analytics presents tensions between increasing student agency in making learning-related…
Descriptors: Student Empowerment, Equal Education, Learning Analytics, Accountability
Hallstead, Tracy; Nash, Erin – Learning Assistance Review, 2020
We do not learn through experiences alone; we learn by thinking about our experiences. But after disappointing exam results, students can reflect on their performance in unproductive ways, circulating scripted beliefs about why they did poorly: "The professor talks too fast," "The test didn't cover the lectures in class,"…
Descriptors: Metacognition, Reflection, Student Experience, College Faculty
Litke, Erica; Hill, Heather C. – Elementary School Journal, 2020
Understanding and analyzing data is a crucial aspect of quantitative literacy in the 21st century, leading scholars and policy makers to push for more rigorous instruction in this area rooted in statistical investigation. In this study, we examine 144 upper-elementary mathematics lessons on data and statistics topics to assess the extent to which…
Descriptors: Mathematics Instruction, Elementary School Students, Graphs, Statistics
Smith-Yoshimura, Karen – OCLC Online Computer Library Center, Inc., 2020
The OCLC Research Library Partners Metadata Managers Focus Group, first established in 1993, is one of the longest-standing groups within the OCLC Research Library Partnership (RLP), a transnational network of research libraries. The Focus Group provides a forum for administrators responsible for creating and managing metadata in their…
Descriptors: Metadata, Information Management, Library Services, Data