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Almuhanna, Manal – Turkish Online Journal of Educational Technology - TOJET, 2023
The application of electronic assessments (e-assessment) has become inevitable with the expansion of distance education, and learners' perceptions should be considered when designers improve the system to meet their needs and facilitate their acceptance of the system. This mixed descriptive study investigated university students' perceptions about…
Descriptors: Evaluation Methods, Educational Improvement, College Students, Student Experience
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Saputra, H.; Suhandi, A.; Setiawan, A.; Permanasari, A.; Firmansyah, J. – Physics Education, 2023
This study proposes an online practicum model supported by Wireless Sensor Network (WSN) to implement a physics practicum after the COVID-19 Pandemic. This system is guided by exploratory inquiry questions to help structure students' mindsets in answering investigative questions. Online practicum is also integrated with video conferencing, chat,…
Descriptors: Science Tests, Computer Assisted Testing, Physics, Practicums
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Moreau, Julia; Pollock, Beth; Harrison, Allyson G. – Canadian Journal of School Psychology, 2023
Psychoeducational assessments provide clinicians with the foundation for diagnostic determinations and meaningful recommendations for youth with neurodevelopmental disorders. Due to the COVID-19 pandemic, the field shifted from seeing clients face-to-face (FTF) to conducting evaluations virtually via teleneuropsychology (TNP) in the client's own…
Descriptors: Neurodevelopmental Disorders, COVID-19, Pandemics, Telecommunications
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Merhi, Mohammad I.; Meisami, Alex – Journal of Education for Business, 2023
This study is one of the first research attempts to examine students' satisfaction with web-based assessment platforms. Using the self-determination theory, the research model examines the intermediate role of autonomy and competency. We gathered our data from a survey of 324 business students at one of the Midwestern American institutions who…
Descriptors: Computer Assisted Testing, Student Satisfaction, Personal Autonomy, Competence
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Abd Elgalil, Heba Mohamed; Abd El-Hakam, Fatma El-Zahraa; Farrag, Islam Mostafa; Abdelmohsen, Shaimaa Ramadan; Elkolaly, Hala – Innovations in Education and Teaching International, 2023
The Corona virus-19 pandemic has forced universities globally to shut down and shift their educational and assessment activities to online platforms. This study explores the perception of undergraduate preclinical medical students about online assessment during the ongoing pandemic. A cross-sectional study based on a semi-structured online…
Descriptors: Undergraduate Students, Student Attitudes, Computer Assisted Testing, COVID-19
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Bahari, Akbar; Zhang, Xue; Ardasheva, Yuliya – Interactive Learning Environments, 2023
The lack of comprehensive language proficiency assessment models recognizing the nonlinearity and dynamicity of individual differences, as well as the fundamental differences between paper- and computer-assisted language assessments (CALA) served as the rationale to conduct the present study. Drawing on dynamic systems theory, a Nonlinear Dynamic…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
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Philip Slobodsky; Mariana Durcheva – International Journal for Technology in Mathematics Education, 2023
The mode of assessment is one of the most important factors influencing learning. E-assessment usually includes only checking the final answer, thus limiting teacher's ability to check the complete solution, and it does not allow inclusion of math proofs problems that constitute an important part of math content. The e-assessment module of Halomda…
Descriptors: Mathematics Instruction, Learning Processes, Algebra, Validity
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Tugba Uygun; Pinar Guner; Irfan Simsek – International Journal of Mathematical Education in Science and Technology, 2024
This study was conducted to reveal potential sources of students' difficulty and misconceptions about geometrical concepts with the help of eye tracking. In this study, the students' geometrical misconceptions were explored by answering the questions on the geometry test prepared based on the literature and test-taking processes and represented…
Descriptors: Eye Movements, Geometric Concepts, Mathematics Instruction, Misconceptions
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Ali Rezaei – Journal of Interactive Learning Research, 2024
Educational tools like EdPuzzle, PlayPosit, and Kaltura have gained recent attention, as they purportedly empower educators to incorporate questions, quizzes, and discussions into instructional videos. However, there is no empirical evidence on how or under what circumstances these platforms may impact students' learning. A quasi-experimental…
Descriptors: College Students, Interactive Video, Student Attitudes, College Faculty
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Erica J. Lewis; Michelle Hesse; Catherine Copeland – Journal on Excellence in College Teaching, 2024
Innovation courses are needed in higher education to meet workforce demands and prepare students for societal challenges. Assessment of outcomes can be challenging in innovation courses, particularly those that leverage diversity to drive innovation. The authors report on assessment methods in one such course at a public university using the…
Descriptors: College Students, Instructional Innovation, Diversity, Performance Based Assessment
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Zhihui Zhang; Xiaomeng Huang – Education and Information Technologies, 2024
Blended learning combines online and traditional classroom instruction, aiming to optimize educational outcomes. Despite its potential, student engagement with online components remains a significant challenge. Gamification has emerged as a popular solution to bolster engagement, though its effectiveness is contested, with research yielding mixed…
Descriptors: Educational Games, Blended Learning, Learning Motivation, Language Proficiency
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Umar Bin Qushem; Solomon Sunday Oyelere; Gökhan Akçapinar; Rogers Kaliisa; Mikko-Jussi Laakso – Technology, Knowledge and Learning, 2024
Predicting academic performance for students majoring in computer science has long been a significant field of research in computing education. Previous studies described that accurate prediction of students' early-stage performance could identify low-performing students and take corrective action to improve performance. Besides, adopting machine…
Descriptors: Predictor Variables, Learning Analytics, At Risk Students, Computer Science
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Sarika Tomar; Arundhathi Arundhathi; Shikha Gupta; Mansi Sharma – Journal of Education and Learning (EduLearn), 2024
As universities shifted to online education with the onset of the Coronavirus Disease 2019 (COVID-19) pandemic, both pedagogy and assessment patterns across disciplines underwent a change, with a shift towards collaborative digital assessments. In this context, using qualitative and quantitative methods for data collection from an assessment…
Descriptors: Student Evaluation, Cooperative Learning, Video Technology, Web Sites
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Venie Gupitasari; Heri Retnawati – Journal of Education and Learning (EduLearn), 2024
Assessment is an important component of learning which aims to determine student achievement in learning. However, the pandemic has changed how assessment is carried out, prompting teachers to look for new strategies in carrying out mathematics learning assessments under any conditions, whether in normal conditions or during a pandemic. This study…
Descriptors: Foreign Countries, High School Teachers, Mathematics Teachers, Student Evaluation
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Gabriel Cipriano; Susana Da Cruz Martins – Education Policy Analysis Archives, 2024
In recent decades, the potential benefits of introducing technologies into large-scale tests have been much discussed. Yet the path to effective technology use on large-scale testing has fallen short of expectations, especially when these tests have medium or high stakes for students. After a temporary cancelation of external assessment of…
Descriptors: Foreign Countries, Computer Assisted Testing, High Stakes Tests, Technology Uses in Education
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