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Siem Buseyne; Kamakshi Rajagopal; Thierry Danquigny; Fien Depaepe; Jean Heutte; Annelies Raes – British Journal of Educational Technology, 2024
The objective of this study is to explore new ways of assessing collaborative problem solving (CPS) processes based on different modalities of audio data and their combination. The data collection took place in an educational lab setting during an experiment with adult teams from professional contexts who collaboratively solved multiple problems…
Descriptors: Adult Students, Cooperative Learning, Problem Solving, Computer Uses in Education
Holly Robson; Harriet Thomasson; Matthew H. Davis – International Journal of Language & Communication Disorders, 2024
Background: The use of telepractice in aphasia research and therapy is increasing in frequency. Teleassessment in aphasia has been demonstrated to be reliable. However, neuropsychological and clinical language comprehension assessments are not always readily translatable to an online environment and people with severe language comprehension or…
Descriptors: Aphasia, Severity (of Disability), Videoconferencing, Comparative Analysis
Jeremy W. Ford; Amanda M. Kern; Julia P. Gorman; Conor D. Mooney – TEACHING Exceptional Children, 2024
Individualizing instruction is a time-consuming aspect of classroom practice. Testing multiple interventions, and monitoring each to see which is most effective for a student can be prohibitively time consuming. However, Brief Experimental Analysis (BEA) is an assessment procedure that can be used to quickly identify an intervention that is likely…
Descriptors: Students with Disabilities, Intellectual Disability, Individualized Instruction, Intervention
Inga Fokken; Ilka Staub; Tobias Vogt – Journal of Teaching in Physical Education, 2024
Purpose: This study aims to investigate how physical education teachers analyze their students' swimming skills. Particular attention is given to information gathering within the diagnostic process. Methods: Data were collected from a quantitative online survey of German physical education teachers from primary and secondary schools (n = 551).…
Descriptors: Physical Education Teachers, Aquatic Sports, Psychomotor Skills, Student Evaluation
Hunkoog Jho; Minsu Ha – Journal of Baltic Science Education, 2024
This study aimed at examining the performance of generative artificial intelligence to extract argumentation elements from text. Thus, the researchers developed a web-based framework to provide automated assessment and feedback relying on a large language model, ChatGPT. The results produced by ChatGPT were compared to human experts across…
Descriptors: Feedback (Response), Artificial Intelligence, Persuasive Discourse, Models
Aliya Mambetalina; Kehinde Lawrence; Assanali Amangossov; Karima Mukhambetkalieva; Shnar Demissenova – Psychology in the Schools, 2024
The need to identify and recognize school going children with giftedness remains a concern of the Republic of Kazakhstan's government. This concern motivated this study to examine the internal structure of the giftedness characteristic identification scale (GCIS) for use by Kazakhstan's school children. Exploratory quantitative research approach,…
Descriptors: Foreign Countries, Gifted, Talent Identification, Measures (Individuals)
Peter Grainger; Michael Carey; Craig Johnston – Assessment & Evaluation in Higher Education, 2024
Research on assessment in the field of doctoral education remains an underexplored domain, particularly concerning the preconfirmation or probationary stage of candidature, when attrition is at its highest. We propose that the use of rubrics in this preconfirmation stage has the potential to improve feedback literacy and overall progression to…
Descriptors: Scoring Rubrics, Doctoral Students, Student Evaluation, Feedback (Response)
Grethe Sandstrak; Bjorn Klefstad; Arne Styve; Kiran Raja – IEEE Transactions on Education, 2024
Teaching programming efficiently to students in the first year of computer science education is challenging. It is especially cumbersome to retain the interest of both groups, when the student group consists of novice (i.e., those who have never programmed before) and expert programmers in the same crowd. Thus, individualized teaching cannot be…
Descriptors: Computer Science Education, Programming, Teaching Methods, College Freshmen
Remigius C. Nnadozie – Cogent Education, 2024
This study reviews the implications of the 2014 reporting regulation for public higher education institutions (PHEIs) in South Africa. Guided by the monitoring and evaluation logical framework model and the theory of change, the research assesses the alignment between the regulation's outcomes and practical implementation. Employing a Document…
Descriptors: Foreign Countries, Educational Policy, Higher Education, Federal Regulation
Raili Hilden; Anne Dragemark-Oscarson; Ali Yildirim; Birgitta Fröjdendahl – Cogent Education, 2024
The objective of this study is to expand teachers' knowledge base of assessment in teaching by exploring pre-service language teachers' construct of grading literacy during their pedagogical studies and immediately after. We conceptualize pre-service language teachers' grading literacy with a literature-based flow model of decision-making…
Descriptors: Preservice Teachers, Language Teachers, Grading, Foreign Countries
Xinliang Zhu; Ting Tang – Cogent Education, 2024
In recent years, single-subject experimental courses have not been able to meet the demands of the comprehensive development of life sciences. This study is based on two fundamental disciplines, molecular biology and metabolomics, with the analysis and intervention of tumor-related genes as the starting point. A comprehensive experimental course…
Descriptors: Cancer, Molecular Biology, Scientific Concepts, Intervention
MOOC Performance Prediction and Analysis via Bayesian Network and Maslow's Hierarchical Needs Theory
Luyu Zhu; Jia Hao; Jianhou Gan – Interactive Learning Environments, 2024
Nowadays, Massive Open Online Courses (MOOC) has been gradually accepted by the public as a new type of education and teaching method. However, due to the lack of timely intervention and guidance from educators, learners' performance is not as effective as it could be. To address this problem, predicting MOOC learners' performance and providing…
Descriptors: MOOCs, Academic Achievement, Prediction, Bayesian Statistics
Yves Bestgen – Applied Linguistics, 2024
Measuring lexical diversity in texts that have different lengths is problematic because length has a significant effect on the number of types a text contains, thus hampering any comparison. Treffers-Daller et al. (2018) recommended a simple solution, namely counting the number of types in a section of a given length that was extracted from the…
Descriptors: Language Variation, Second Language Learning, Essays, Writing Evaluation
Leonie Brummer; Hester de Boer; Jolien M. Mouw; Jan-Willem Strijbos – Learning Environments Research, 2024
Even though context, content, and task factors are considered essential parts of digitally delivered instructional feedback, their effects on learning performance are most often studied separately. A meta-analysis was carried out to address the effects of context, content, and task factors of digitally delivered instructional feedback on learning…
Descriptors: Feedback (Response), Teacher Response, Computer Mediated Communication, Computer Assisted Instruction
Alexander Rushforth; Sarah De Rijcke – Research Evaluation, 2024
Recent times have seen the growth in the number and scope of interacting professional reform movements in science, centered on themes such as open research, research integrity, responsible research assessment, and responsible metrics. The responsible metrics movement identifies the growing influence of quantitative performance indicators as a…
Descriptors: College Faculty, Teacher Selection, Faculty Promotion, Tenure