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Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
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Mubashara Akhtar; Atif Khalil; Anam Noshaba; Salman Khalil – Journal of Turkish Science Education, 2024
A number of assessment methods are used to improve teaching which accelerates students' achievement. This study investigates the effect of two assessment methods (Think - Pair - Share and Choral Response) on academic achievement of prospective science teachers in a public sector university in Lahore, Pakistan. It employed a quasi-experimental…
Descriptors: Foreign Countries, Evaluation Methods, Student Evaluation, Preservice Teachers
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Ole Eggers Bjaelde; David Boud; Annika Büchert Lindberg – Active Learning in Higher Education, 2025
Many students struggle with making sense of feedback information and in applying and transferring it to new contexts. Research literature suggests that low-performing students are especially at risk because they often do not understand assessment criteria and cannot utilise information they receive. This paper addresses this problem through…
Descriptors: Undergraduate Students, Academic Achievement, Feedback (Response), Evaluation Methods
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Claire Otten; Nenagh Kemp; Vaughan Cruickshank; Louisa Peralta; Melanie Hawkins; Rose Nash – Health Education Journal, 2024
Objectives: Increasing childhood health literacy (HL) is a crucial means of improving health outcomes and reducing preventable deaths globally. Understanding how to best support children's HL development in schools is essential. However, identifying pedagogical strategies that develop children's HL relies on a fit-for-purpose measure. Currently,…
Descriptors: Health Education, Knowledge Level, Multiple Literacies, Curriculum
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Laura Dörrenbächer-Ulrich; Jörn R. Sparfeldt; Franziska Perels – Metacognition and Learning, 2024
Self-regulated learning (SRL) encompasses cognitive, metacognitive, and motivational learning strategies and is highly relevant for academic achievement. Although students have mostly acquired high-level SRL strategy knowledge by the time they reach college, they often show deficiencies in their application of SRL strategies. In order to…
Descriptors: Metacognition, Learning Strategies, College Students, Test Validity
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Kloppers, Magda; Potgieter, Erika – South African Journal of Education, 2023
Lecturers often claim that time constraints cause tension regarding feedback on students' assessment opportunities. Assessment strategies for effective feedback procedures can lead to early identification of problem areas in student performance. Numerous students at higher education institutions (HEIs) do not complete their qualifications or take…
Descriptors: Feedback (Response), Academic Achievement, Evaluation Methods, College Students
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Achmad Bisri; Supardi; Yayu Heryatun; Hunainah; Annisa Navira – Journal of Education and Learning (EduLearn), 2025
In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…
Descriptors: Data Analysis, Models, Academic Achievement, Evaluation Methods
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Mingya Huang; David Kaplan – Journal of Educational and Behavioral Statistics, 2025
The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Statistical Inference, Predictor Variables
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Spiegel, Tali; Nivette, Amy – Assessment & Evaluation in Higher Education, 2023
This study investigates the relationship between take-home (open-book) examinations (THE) and in-class (closed-book) examinations (ICE) on academic performance and student wellbeing. Two social science courses (one bachelor and one master) were included in the study. In the first cohort (2019), students from both courses performed an ICE, whereas…
Descriptors: Test Format, Tests, Academic Achievement, Retention (Psychology)
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Recep Gur; Mustafa Koroglu – International Journal of Assessment Tools in Education, 2023
Based on the academic performance grades of university students, various high-stakes decisions are made, including determinations of pass/fail status, the awarding of diplomas, and eligibility for placement in graduate education programs. According to the criteria used, the types of assessment are divided into two assessment, criterion-referenced…
Descriptors: Foreign Countries, Grading, Higher Education, College Students
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Hoare, Alana; Goad, Pamela – Quality in Higher Education, 2023
Student success has multiple meanings; however, the quantitative bias prevalent in the northwest American and Western Canadian postsecondary education sector restricts how student success is defined and measured. Standardised measures of student success assume that the student experience is homogeneous and risk the implementation of policies and…
Descriptors: Culturally Relevant Education, Academic Achievement, Achievement Tests, Student Attitudes
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Annemette Kjaergaard; Julie Buhl-Wiggers; Elisabeth Naima Mikkelsen – Studies in Higher Education, 2024
Many have suggested that performance grading may be a factor in the increasing number of students reporting having mental health issues, including feelings of stress. Gradeless learning has been shown to ease the pressure on students because it encourages a focus on learning rather than performance. Indeed, gradeless learning has been documented…
Descriptors: Academic Achievement, Grading, Evaluation Methods, Student Evaluation
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José I. Castillo-Manzano; Mercedes Castro-Nuño; Lourdes López-Valpuesta; María Teresa Sanz-Díaz; Rocío Yñiguez – Journal of Computing in Higher Education, 2024
Evaluation is a crucial part of the teaching and learning process in any higher education institution and one that has gone through a deep change. This has been particularly true since the Bologna Declaration (http://www.ehea.info/page-ministerial-conference-bologna-1999, 1999) ushered in the European higher education area, with the subsequent…
Descriptors: Higher Education, Academic Achievement, Computer Assisted Testing, Student Evaluation
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Maiada Hasan Ali; Dulfqar Mhaibes Abdulrazzaq – Language Testing in Asia, 2024
Assessment plays a vital role in English language learning as it helps students recognize their weak and strong points. Two main types of assessment are dynamic assessment (DA) and static assessment (SA) that their effects have not been examined on Iraqi EFL students' resilience, burnout, positive orientation (PO), and language academic…
Descriptors: English Language Learners, English (Second Language), Resilience (Psychology), Burnout
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Dai, Jing; Gu, Xiaoqing; Zhu, Jiawen – Journal of Educational Computing Research, 2023
Personalized recommendation plays an important role on content selection during the adaptive learning process. It is always a challenge on how to recommend effective items to improve learning performance. The aim of this study was to examine the feasibility of applying adaptive testing technology for personalized recommendation. We proposed the…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Evaluation Methods, Tests
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