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J. Hannah Lee; Junsang Park; Hyun-Ju Ju; Kyoungmin Cho; Seoyoung Lim – Social Psychology of Education: An International Journal, 2024
This study examined the heterogeneity in temporal shifts of unrealistic optimism (UO) by analyzing students' grade expectation throughout a semester. UO was defined as the gap between students' estimated and current course grades, with a larger gap indicating higher UO. Final course grades were viewed as the outcome of UO. A total of 206…
Descriptors: Student Attitudes, Expectation, Academic Achievement, Psychological Patterns
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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
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Chamberlin, Kelsey; Yasué, Maï; Chiang, I-Chant A. – Active Learning in Higher Education, 2023
Although research has explored how in-class pedagogical practices and narrative feedback affect student engagement and motivation, questions remain on the impact of grading systems (i.e. multi-interval grades vs pass/fail and narrative evaluation) on academic motivation. Here, we compared the motivation of students who received multi-interval…
Descriptors: Scores, Student Motivation, Grades (Scholastic), Anxiety
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Hengtao Tang – Distance Education, 2024
Self-regulated learning (SRL) has been viewed as a critical skill for learner success in MOOCs, but due to methodological limitations of self-reported measures, the relationship between SRL and learner performance remains unquantified. Therefore, this study sought to investigate how SRL impacted learner performance in MOOCs by linking clickstream…
Descriptors: Self Management, MOOCs, Educational Technology, Adult Learning
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Hoq, Muntasir; Brusilovsky, Peter; Akram, Bita – International Educational Data Mining Society, 2023
Prediction of student performance in introductory programming courses can assist struggling students and improve their persistence. On the other hand, it is important for the prediction to be transparent for the instructor and students to effectively utilize the results of this prediction. Explainable Machine Learning models can effectively help…
Descriptors: Academic Achievement, Prediction, Models, Introductory Courses
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Saqr, Mohammed – British Journal of Educational Technology, 2023
Learning analytics is a fast-growing discipline. Institutions and countries alike are racing to harness the power of using data to support students, teachers and stakeholders. Research in the field has proven that predicting and supporting underachieving students is worthwhile. Nonetheless, challenges remain unresolved, for example, lack of…
Descriptors: Learning Analytics, Generalizability Theory, Models, Grades (Scholastic)
Jennifer P. McCoy – ProQuest LLC, 2023
Upon identifying a problem of practice centering on students and staff alike focusing on points and grades instead of learning, a small team of teachers were assembled to participate in a cycle of inquiry. The purpose of this cycle of inquiry was to research and test the effectiveness of an intervention related to assessment. The team selected a…
Descriptors: Grades (Scholastic), Student Evaluation, Program Effectiveness, Self Evaluation (Individuals)
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Deborah S. Fetter – Journal of College Science Teaching, 2024
Although evidence exists that online education can result in comparable outcomes to the equivalent face-to-face (F2F) version of a course, there is still a dearth of literature. The objective of this pilot was to investigate differences in academic performance between students participating in the F2F versus online versions of Nutrition 10, an…
Descriptors: In Person Learning, Electronic Learning, Differences, Nutrition
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Sara Costa; Laura Soledad Norton; Sabine Pirchio – Social Psychology of Education: An International Journal, 2024
Grades are the universal tool for measuring students' performance at school. However, other competency-based evaluation methods have shown to have a stronger impact on the learning quality. We investigated how different methods are collectively represented and discursively constructed among students at an Italian high school class. Thematic…
Descriptors: High Schools, Foreign Countries, Grades (Scholastic), Competency Based Education
Benton, Tom; Gill, Tim; Hughes, Sarah; Leech, Tony – Research Matters, 2022
The rationale for the use of comparative judgement (CJ) to help set grade boundaries is to provide a way of using expert judgement to identify and uphold certain minimum standards of performance rather than relying purely on statistical approaches such as comparable outcomes. This article summarises the results of recent trials of using CJ for…
Descriptors: Comparative Analysis, Grades (Scholastic), Academic Achievement, Grading
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Buhl-Wiggers, Julie; la Cour, Lisbeth; Franck, Mette Suder; Kjaergaard, Annemette – International Journal of Educational Technology in Higher Education, 2023
The increased popularity of flipped classroom in higher education warrants more thorough investigation of the pedagogical format's effects on student learning. This paper utilizes two iterations of a randomized field experiment to study the effects of flipped classroom on student learning specifically focusing on heterogeneous treatment effects…
Descriptors: Teacher Effectiveness, Flipped Classroom, Heterogeneous Grouping, Undergraduate Students
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Hadjipanayi, Veronica; Ludwig, Casimir J. H.; Kent, Christopher – Cognitive Research: Principles and Implications, 2023
In many real-life contexts, observers are required to search for targets that are rarely present (e.g. tumours in X-rays; dangerous items in airport security screenings). Despite the rarity of these items, they are of enormous importance for the health and safety of the public, yet they are easily missed during visual search. This is referred to…
Descriptors: Search Strategies, Observation, Visual Discrimination, Visual Perception
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Savic Tot, Tijana; Adžic, Slobodan; Tot, Vilmoš; Aleksic, Maja; Zakic, Nebojša – Education and Information Technologies, 2023
The aim of this paper is to examine the relationship between the time that higher education students spend playing video games during exam periods and their average grades in one Eastern European country. Moreover, the authors wanted to explore the differences among students with regard to their age, gender, year of study, and employment status in…
Descriptors: Time Management, Video Games, Academic Achievement, Grades (Scholastic)
Hahn, Lisa M. – ProQuest LLC, 2023
In the post-COVID-19 higher education landscape, administrators must question the legacy of their programs and methods to rise up and meet not only the technological integrations that are a part of educational infrastructures but the demands of the profession moving it beyond the twenty-first century. Since the twentieth-century, first-year…
Descriptors: Intervention, Grades (Scholastic), First Year Seminars, Teacher Characteristics
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Diogo Santos-Ferreira; Bruno Guimarães; Ricardo Ladeiras-Lopes; Pedro Gonçalves-Teixeira; Sílvia Oliveira Diaz; Pedro Ferreira; Francisco Gonçalves; Rita Gonçalves Cardoso; Maria Amelia Ferreira; Paulo Castro Chaves; Ricardo Fontes-Carvalho; Adelino Leite-Moreira – Advances in Physiology Education, 2024
Use of digital flashcards promotes active recall, spaced repetition, and self-assessment academic principles. This work explores the association and dose-dependent effect of this study method and locomotor (LP) and cardiovascular physiology (CP) grades. A single-faculty cohort study of medical LP and CP students was conducted, and 155 and 676…
Descriptors: Instructional Materials, Electronic Learning, Medical Education, Physiology
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