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Kevin L. Sager; Miho Aoki; Scott D. Goddard – Innovative Higher Education, 2024
We tested the educational effectiveness of an inquiry-guided approach (Lee et al., 2004; Prince & Felder in "Journal of Engineering Education, 95," 123-138, 2006) to teaching a possible outcome of statistical hypothesis testing known as type 1 error. The approach consisted of showing participants an animated space exploration video.…
Descriptors: Inquiry, Statistics Education, Active Learning, Space Exploration
Treekom Prommaboon; Siriluck Boongthong; Prasong Tochot; Boontawee Imboonta; Prachit Intakanok; Veena Prachagool; Prasart Nuangchalerm – Journal of Education and Learning (EduLearn), 2024
This research employed a mixed-methods approach to explore the best practices of ordinary national educational testing (O-NET) to improve the quality of basic education. The methodology was divided into four phases, the first of which was a survey and analysis of the current situation at ONET. The sample group was made up of representatives of the…
Descriptors: Best Practices, Educational Testing, Standardized Tests, Educational Improvement
Kelly Farquharson; K. Brooke Ott; Anne C. Reed – Grantee Submission, 2024
Purpose: Dyslexia, a neurobiological phonological processing deficit, can be identified early; however, there is a substantial variation between and within states regarding who makes this diagnosis and when. Dyslexia evaluations are often challenging to obtain and very expensive for families who need to seek them outside of the school setting. The…
Descriptors: Dyslexia, Clinical Diagnosis, Educational Diagnosis, Allied Health Personnel
Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
Lauritz Schewior; Marlit Annalena Lindner – Educational Psychology Review, 2024
Studies have indicated that pictures in test items can impact item-solving performance, information processing (e.g., time on task) and metacognition as well as test-taking affect and motivation. The present review aims to better organize the existing and somewhat scattered research on multimedia effects in testing and problem solving while…
Descriptors: Multimedia Materials, Computer Assisted Testing, Test Items, Pictorial Stimuli
Rebecka Weegar; Peter Idestam-Almquist – International Journal of Artificial Intelligence in Education, 2024
Machine learning methods can be used to reduce the manual workload in exam grading, making it possible for teachers to spend more time on other tasks. However, when it comes to grading exams, fully eliminating manual work is not yet possible even with very accurate automated grading, as any grading mistakes could have significant consequences for…
Descriptors: Grading, Computer Assisted Testing, Introductory Courses, Computer Science Education
Anna Filighera; Sebastian Ochs; Tim Steuer; Thomas Tregel – International Journal of Artificial Intelligence in Education, 2024
Automatic grading models are valued for the time and effort saved during the instruction of large student bodies. Especially with the increasing digitization of education and interest in large-scale standardized testing, the popularity of automatic grading has risen to the point where commercial solutions are widely available and used. However,…
Descriptors: Cheating, Grading, Form Classes (Languages), Computer Software
Ben Backes; James Cowan; Michael DeArmond; Dan Goldhaber; Roddy Theobald – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
This CALDER research brief builds on pioneering research by the Measures of Effective Teaching Project (Kane et al., 2013) and Jackson (2018) to look at two measures of teacher quality-value-added measures (VAMs) for both test outcomes and non-test outcomes--and what they can tell education leaders about the teacher workforce. Both measures use a…
Descriptors: Teacher Effectiveness, Teacher Competencies, Teacher Competency Testing, Value Added Models
Daniel Corral; Shana K. Carpenter – Cognitive Research: Principles and Implications, 2024
We report six experiments that examine how two essential components of a category-learning paradigm, training and feedback, can be manipulated to maximize learning and transfer of real-world, complex concepts. Some subjects learned through classification and were asked to classify hypothetical experiment scenarios as either true or non-true…
Descriptors: Concept Formation, Teaching Methods, Observational Learning, Classification
Kerrin von Engelhardt – Paedagogica Historica: International Journal of the History of Education, 2024
This paper describes the Berlin "Abitur" examination in the twentieth century and its written documentation in files. By the late nineteenth century, the "Abitur" examination was fully established in Prussia and with it a graduation certificate that was obligatory for university entrance. Thus, the "Abitur"…
Descriptors: Educational History, Exit Examinations, Secondary School Students, Student Records
Debi Pranata; Hartono; Sugiman; Agus Supramono – International Society for Technology, Education, and Science, 2024
Minimum Competency Assessment (MCA) is the latest assessment conducted nationally in Indonesia. MCA measures students' cognitive in literacy and numeracy. This study illustrates the difficulty of students in solving numeracy questions in the minimum competency assessment. This research is included in case study research with a qualitative…
Descriptors: Foreign Countries, Literacy, Numeracy, Minimum Competency Testing
E. Marano; P. M. Newton; Z. Birch; M. Croombs; C. Gilbert; M. J. Draper – Higher Education Quarterly, 2024
Remote or online proctoring (invigilating) is a technology primarily used to improve the integrity of online examinations. The use of remote proctoring increased significantly as the world switched to online assessment during the COVID-19 pandemic. Remote proctoring received negative media attention, including concerns about user privacy,…
Descriptors: Student Experience, Supervision, Distance Education, Technology Uses in Education
Mariann Lemke; Dan Murphy; Aaron Soo Ping Chow; Angela Acuña – WestEd, 2024
Beginning with the 2020/21 school year, the Massachusetts Department of Elementary and Secondary Education (DESE) began an ongoing effort to collect and analyze literacy screening assessment data from schools and districts participating in certain state grants to inform improvement efforts. Grantee schools and districts that provide literacy…
Descriptors: Elementary School Students, Secondary School Students, Literacy, Screening Tests
Mariann Lemke; Dan Murphy; Aaron Soo Ping Chow; Angela Acuña – WestEd, 2024
Beginning with the 2020/21 school year, the Massachusetts Department of Elementary and Secondary Education (DESE) began an ongoing effort to collect and analyze early literacy screening assessment data from schools and districts participating in certain state grants to inform improvement efforts. Outcome data suggest that the current educational…
Descriptors: Elementary School Students, Secondary School Students, Literacy, Screening Tests
Martha L. Thurlow; Andrew R. Hinkle; Sheryl S. Lazarus; Kristin K. Liu – National Center on Educational Outcomes, 2024
There has been a paradigm shift from accommodations to the identification of levels of accessibility (e.g., universal features, designated features, and accommodations). A consequence of this shift is that many students with disabilities who previously were assigned accommodations now access many of them as universal or designated features. This…
Descriptors: Accessibility (for Disabled), Individualized Education Programs, Students with Disabilities, Troubleshooting

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