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Matthew Inglis; Colin Foster; Hugues Lortie-Forgues; Elizabeth Stokoe – British Educational Research Journal, 2024
We analysed the full text of all journal articles returned to the education subpanel of the 2021 Research Excellence Framework (REF2021). Using a latent Dirichlet allocation topic model, we identified 35 topics that collectively summarise the journal articles that research units, typically schools of education, selected for submission. We found…
Descriptors: Foreign Countries, Educational Research, Evaluation Methods, Evaluation Research
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Richard McInnes; James E. Hobson; Kerry Lorette Johnson; Joshua Cramp; Claire Aitchison; Katherine L. Baldock – Australasian Journal of Educational Technology, 2024
How do we make judgements about the quality of online courses? Checklists and rubrics are commonplace in higher education for establishing and measuring design features of online courses. They are created and used by institutions, academics and educational designers to standardise measures for quality online course design. Despite an intensifying…
Descriptors: Educational Quality, Online Courses, Check Lists, Scoring Rubrics
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Gutiérrez-Mijares, María Eugenia; Josa, Irene; Casanovas-Rubio, Maria del Mar; Aguado, Antonio – Studies in Higher Education, 2023
Sustainability has increasingly become key in universities, as the objectives of sustainable development are essential to establish policies, guidelines and indicators that guide institutions to be more sustainable. This recognition has led many authors to develop methods to assess universities based on their performance in terms of sustainable…
Descriptors: Evaluation Methods, Sustainability, Higher Education, Educational Indicators
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Garcia, Léo Manoel Lopes da Silva; Lara, Daiany Francisca; Gomes, Raquel Salcedo; Cazella, Silvio Cézar – Turkish Online Journal of Educational Technology - TOJET, 2022
In educational data mining (EDM), preprocessing is an arduous and complex task and must promote an appropriate treatment of data to solve each specific educational problem. In the same way, the parameters used in the evaluation of postprocessing results are decisive in the interpretation of the results and decision-making in the future. These two…
Descriptors: Educational Research, Information Retrieval, Data Processing, Mathematics
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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
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Gholampour, Samaneh; Mehrabi, Donya – MEXTESOL Journal, 2023
Textbooks have a fundamental role in English Language Teaching (ELT) classes; they can provide valid, valuable, and self-regulated sources for both learners and teachers. ELT textbook evaluation is essential for language learning and teaching. Accordingly, evaluating and assessing textbooks has a crucial role in confirming if they satisfy the…
Descriptors: Textbook Evaluation, English (Second Language), Second Language Learning, Second Language Instruction
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Wignall, Alice; Kelly, C.; Grace, P. – Pastoral Care in Education, 2022
The prevalence of mental health and emotional well-being difficulties in children is increasing, and schools play a key role in addressing this. Whole-school approaches have been suggested as an effective way of supporting children's mental health and well-being; however, there appears to be no consistent approach to their evaluation, and…
Descriptors: School Activities, Mental Health Programs, Evaluation Criteria, Evaluation Methods
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Fahd, Kiran; Venkatraman, Sitalakshmi; Miah, Shah J.; Ahmed, Khandakar – Education and Information Technologies, 2022
Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…
Descriptors: Artificial Intelligence, Electronic Learning, Higher Education, Academic Achievement
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Cruz, Mariana Leandro; Saunders-Smits, Gillian N.; Groen, Pim – European Journal of Engineering Education, 2020
The purpose of this systematic review is to evaluate the state-of-the-art of competency measurement methods with an aim to inform the creation of reliable and valid measures of student mastery of competencies in communication, lifelong learning, innovation/creativity and teamwork in engineering education. We identified 99 studies published in…
Descriptors: Engineering Education, Educational Research, Competence, Communication Skills
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Silva, Valtemir A.; Bittencourt, Ig Ibert; Maldonado, Jose C. – IEEE Transactions on Learning Technologies, 2019
Question classification is a key point in many applications, such as Question Answering (QA, e.g., Yahoo! Answers), Information Retrieval (IR, e.g., Google search engine), and E-learning systems (e.g., Bloom's tax. classifiers). This paper aims to carry out a systematic review of the literature on automatic question classifiers and the technology…
Descriptors: Questioning Techniques, Classification, Man Machine Systems, Information Retrieval
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Baldwin, Sally J.; Trespalacios, Jesús – Online Learning, 2017
Chickering and Gamson's (1987) "Seven Principles for Good Practice in Undergraduate Education" offers extensively researched and validated tenets for best practices in higher education. After a review of the literature, twenty-eight evaluation instruments currently used to design and review online courses in higher education institutions…
Descriptors: Online Courses, Best Practices, Evaluation Methods, Undergraduate Study
Cochran-Smith, Marilyn; Reagan, Emilie M. – National Academy of Education, 2021
In 2010, as the result of a congressionally mandated study, the National Research Council (NRC) published the report "Preparing Teachers: Building Evidence for Sound Policy" (NRC, 2010). Reflecting the unprecedented attention to teacher quality that had emerged internationally in response to the exigencies of the "global knowledge…
Descriptors: Best Practices, Teacher Education Programs, Program Evaluation, Knowledge Economy
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Tan, Lynde; Zammit, Katina; D'warte, Jacqueline; Gearside, Anne – Language and Education, 2020
While recent literacy research shows an increasing uptake in multimodal literacies, there remains a disjunction between multimodal literacy teaching and assessment. This paper offers a critical review of assessment in the context of teaching multimodal literacies and begins by reviewing the notion of literacy and reframing assessment in…
Descriptors: Multiple Literacies, Teaching Methods, Evaluation Methods, Higher Education
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McMurry, Benjamin L.; Williams, David Dwayne; Rich, Peter J.; Hartshorn, K. James – TESL-EJ, 2016
Searching prestigious Computer-assisted Language Learning (CALL) journals for references to key publications and authors in the field of evaluation yields a short list. The "American Journal of Evaluation"--the flagship journal of the American Evaluation Association--is only cited once in both the "CALICO Journal and Language…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Sessoms, John; Henson, Robert A. – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs) classify examinees based on the skills they have mastered given their test performance. This classification enables targeted feedback that can inform remedial instruction. Unfortunately, applications of DCMs have been criticized (e.g., no validity support). Generally, these evaluations have been brief and…
Descriptors: Literature Reviews, Classification, Models, Criticism
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