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Eirik Bjorheim Abrahamsen; Vegard Moen; Frank Asche – Discover Education, 2024
In this article, we analyze the relationship between class sizes and examination results in higher education. Data from the University of Stavanger, collected in the Common Student System (FS) in the period from 2011 to 2021, shows that there is a negative correlation between the number of students enrolled on courses and examination results. An…
Descriptors: Class Size, Higher Education, Scores, Foreign Countries
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Ayhan Koçoglu; Sedat Kanadli – Asia Pacific Education Review, 2024
Many studies have examined the effect of argumentation-based instruction methods on student achievement in the literature. However, there was no mixed-research synthesis study providing a holistic overview of quantitative and qualitative research findings of primary studies. To fill this gap in the literature, the study investigated the effects of…
Descriptors: Academic Achievement, Persuasive Discourse, Instructional Effectiveness, Teaching Methods
Melissa Arnold Lyon; Matthew A. Kraft; Matthew P. Steinberg – National Bureau of Economic Research, 2024
The U.S. has witnessed a resurgence of labor activism, with teachers at the forefront. We examine how teacher strikes affect compensation, working conditions, and productivity with an original dataset of 772 teacher strikes generating 48 million student days idle between 2007 and 2023. Using an event study framework, we find that, on average,…
Descriptors: Teacher Strikes, Compensation (Remuneration), Teaching Conditions, Productivity
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Anagha Ani; Ean Teng Khor – Education and Information Technologies, 2024
Predictive modelling in the education domain can be utilised to significantly improve teaching and learning experiences. Massive Open Online Courses (MOOCs) generate a large volume of data that can be exploited to predict and evaluate student performance based on various factors. This paper has two broad aims. Firstly, to develop and tune several…
Descriptors: MOOCs, Classification, Artificial Intelligence, Prediction
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Mouna Ben Said; Yessine Hadj Kacem; Abdulmohsen Algarni; Atef Masmoudi – Education and Information Technologies, 2024
In the current educational landscape, where large amounts of data are being produced by institutions, Educational Data Mining (EDM) emerges as a critical discipline that plays a crucial role in extracting knowledge from this data to help academic policymakers make decisions. EDM has a primary focus on predicting students' academic performance.…
Descriptors: Prediction, Academic Achievement, Artificial Intelligence, Algorithms
Abigail E. Goodridge – ProQuest LLC, 2024
Student underachievement in math and social-emotional difficulties represent two urgent problems in our schools which have only been exacerbated since COVID-19. The reciprocal relationship between academic challenges and social-emotional problems, along with limited time and resources, suggest that a combined academic and growth mindset…
Descriptors: Mathematics Achievement, Individual Development, Intervention, Evaluation
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Darren Lim Yie; Mageswaran Sanmugam; Wan Ahmad Jaafar Wan Yahaya; Zuheir N Khlaif – Higher Education for the Future, 2024
Most studies on gamified learning have neglected gamification depth, which has motivated the current study to identify the impact of gamified depth on students' intrinsic motivation and performance levels. A quasi-experimental approach was employed, which involved a total of 117 undergraduate students divided into control (n = 57) and experimental…
Descriptors: Gamification, Higher Education, Student Motivation, Undergraduate Students
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Roberto Reinoso-Tapia; Sara Galindo; Jaime Delgado-Iglesias; Javier Bobo-Pinilla – Journal of Turkish Science Education, 2024
The aim of this research was to evaluate and compare the efficiency of the flipped learning strategy with that of a conventional teaching method with respect to learning outcomes, cognitive gain, and perception and satisfaction with regard to the methodology used. The research was carried out during the 2021-2022 academic year and focused on a…
Descriptors: Blended Learning, Molecular Biology, Preservice Teachers, Academic Achievement
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Reinhard Pekrun – Educational Psychology Review, 2024
In its original version, control-value theory describes and explains achievement emotions. More recently, the theory has been expanded to also explain epistemic, social, and existential emotions. In this article, I outline the development of the theory, from preliminary work in the 1980s to early versions of the theory and the recent generalized…
Descriptors: Theories, Psychological Patterns, Achievement, Taxonomy
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Rita Fennelly-Atkinson; Deblina Pakhira – TechTrends: Linking Research and Practice to Improve Learning, 2024
Intersectionality and positionality can be used to examine how various aspects of identity are analyzed in the context of learners' lived experiences. When examining how learners are recognized for their skills and competencies, there are several ways in which education and credentials can be leveraged. Autoethnographies were used to examine the…
Descriptors: Microcredentials, Intersectionality, Autobiographies, Ethnography
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James Stacey Taylor – Journal of Academic Ethics, 2024
I argue that wrong of plagiarism does not primarily stem from the plagiarist's illicit misappropriation of academic credit from the person she plagiarized. Instead, plagiarism is wrongful to the degree to which it runs counter to the purpose of academic work. Given that this is to increase knowledge and further understanding plagiarism will be…
Descriptors: Plagiarism, Cheating, Citations (References), Primary Sources
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Julia Mang; Helmut Küchenhoff; Sabine Meinck – Large-scale Assessments in Education, 2024
Stratification is an important design feature of many studies using complex sampling designs and it is often used in large-scale assessment (LSA) studies, such as the "Programme for International Student Assessment" (PISA), for two main reasons. First, stratification variables that achieve a high between and low within strata variance…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Ahmed Tlili; Soheil Salha; Juan Garzón; Mouna Denden; Kinshuk; Saida Affouneh; Daniel Burgos – Journal of Computer Assisted Learning, 2024
Background Study: Several meta-analysis studies have investigated the effects of mobile learning on learning performance. However, limited attention has been paid to pedagogy in mobile learning, making quantitative evidence of the effects of pedagogical approaches on learning performance in mobile learning scarce. Filling this gap can therefore…
Descriptors: Teaching Methods, Instructional Effectiveness, Electronic Learning, Student Experience
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Stefan Arora-Jonsson; Ema Kristina Demir; Axel Norgren; Karl Wennberg – School Effectiveness and School Improvement, 2024
Research on school improvement has accumulated an extensive list of factors that facilitate turnarounds at underperforming schools. Given that context or resource constraints may limit the possibilities of putting all of these factors in place, an important question is what is necessary and sufficient to turn a school around. We use qualitative…
Descriptors: Foreign Countries, School Turnaround, Context Effect, Educational Improvement
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Jesús Galindo-Melero; Pedro Sanz-Angulo; Santiago De-Diego-Poncela; Óscar Martín – European Journal of Education, 2024
Flipped learning (FL) has positive effects on the teaching-learning process. Nevertheless, and given that it is a relatively new methodology, it still raises some misgivings. This work aims to highlight the potential of FL by the analysis of academic results in a subject in higher engineering education and, thus, to contribute to overcome possible…
Descriptors: College Students, Engineering Education, Flipped Classroom, Academic Achievement
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