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Denton, Kenneth; Simmons, Michelle – Journal of College Academic Support Programs, 2021
Many universities have been designing and implementing online instruction for years, but the COVID-19 pandemic created an unexpected impetus for the expansion of virtual learning. Instructors and students who may not have previously chosen or experienced online instruction found themselves in need of safe, virtual options, and it appears that the…
Descriptors: Electronic Learning, Computer Assisted Testing, Teaching Methods, College Faculty
Elif Tuna Pusa; Serkan Dinçer – SAGE Open, 2025
This meta-synthesis study examines the use of digital assessment tools in education, focusing on their prevalence, benefits, limitations, and recommendations for effective integration into teaching processes. Based on 41 empirical studies published between December 2012 and January 2023, this study follows the thematic synthesis approach proposed.…
Descriptors: Student Evaluation, Portfolio Assessment, Electronic Publishing, Computer Assisted Testing
Chan, Cecilia Ka Yuk – Assessment & Evaluation in Higher Education, 2023
With the advances of technologies, possessing digital and information literacy is crucial for the selection of candidates by employers in this digital AI era. For most students, receiving and outputting electronic text has become the norm, and thus examinations with writing components done by hand may not accurately reflect their abilities. It…
Descriptors: Test Format, Handwriting, Stakeholders, Feedback (Response)
Jingyuan Chen; Hongfeng Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
This meta-analysis examines the influence of smart classrooms on students' learning outcome, synthesizing findings from 21 empirical studies. The results indicate a significant overall effect size (SMD = 1.10), suggesting that smart classrooms positively affect learning outcomes more than traditional settings. Cognitive development (SMD = 1.014)…
Descriptors: Computer Uses in Education, Computer Assisted Instruction, Computer Assisted Testing, Influence of Technology
Mary A. Hansen – AERA Online Paper Repository, 2024
Prior to the COVID-19 pandemic, digital or virtual learning was gaining traction and popularity, but relatively small percentages of K-12 and post-secondary students engaged in virtual learning environments. The pandemic forced emergency remote learning, altering the landscape of education. While the long-term plans of K-12 school districts and…
Descriptors: COVID-19, Pandemics, Assessment Literacy, Electronic Learning
Rios, Joseph A.; Deng, Jiayi – Large-scale Assessments in Education, 2021
Background: In testing contexts that are predominately concerned with power, rapid guessing (RG) has the potential to undermine the validity of inferences made from educational assessments, as such responses are unreflective of the knowledge, skills, and abilities assessed. Given this concern, practitioners/researchers have utilized a multitude of…
Descriptors: Test Wiseness, Guessing (Tests), Reaction Time, Computer Assisted Testing
Sudakova, Natalia E.; Savina, Tatyana N.; Masalimova, Alfiya R.; Mikhaylovsky, Mikhail N.; Karandeeva, Lyudmila G.; Zhdanov, Sergei P. – Education Sciences, 2022
Assessment is critical in postsecondary education, as it is at all levels. Assessments are classified into four types: diagnostic, summative, evaluative, and formative. Recent trends in assessment have migrated away from summative to formative evaluations. Formative evaluations help students develop expertise and concentrate their schedules, ease…
Descriptors: Computer Assisted Testing, Formative Evaluation, Higher Education, Bibliometrics
Lei Jiang; Na Yu – Education and Information Technologies, 2024
This research aims to address the challenges of digital transformation in education by understanding the digital competence of teachers through a mixed-methods approach. The grounded theory is employed to develop the Teachers' Digital Competence Model (TDCM), which is structured around three facets: development, pedagogy, and ethics. Within these…
Descriptors: Educational Technology, Teacher Competencies, Technological Literacy, Ethics
Martin Braun – New Directions in the Teaching of Natural Sciences, 2024
During the COVID pandemic, universities around the globe had to move not only their content delivery online, but also their assessments. Due to COVID causing significant upheaval in Higher Education (HE), this enforced experiment also afforded an opportunity to reflect on traditional, invigilated, closed book exams (ICBE) resulting in research and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Educational Technology
Colin Madland; Valerie Irvine; Christopher DeLuca; Okan Bulut – OTESSA Conference Proceedings, 2024
In this paper, we review the literature on technology in assessment in higher education and compare how the literature aligns with the assessment in a digital world framework (Bearman et al., 2022). We found themes in the literature that were not present in the framework (e.g., academic integrity and faculty workload) and constructs in the…
Descriptors: Literature Reviews, Higher Education, Theory Practice Relationship, Technology Integration
Oncul, Bilal – International Technology and Education Journal, 2021
With the effect of the pandemic, higher education is maintained all over the world with the help of online education methods. How to make online exams, which are an important part of distance education processes, in a way to prevent cheating and illegal behavior is an important issue that brings with it discussions. This research, in which the…
Descriptors: Cheating, Computer Assisted Testing, Literature Reviews, Supervision
Zhai, Xiaoming; Shi, Lehong; Nehm, Ross H. – Journal of Science Education and Technology, 2021
Machine learning (ML) has been increasingly employed in science assessment to facilitate automatic scoring efforts, although with varying degrees of success (i.e., magnitudes of machine-human score agreements [MHAs]). Little work has empirically examined the factors that impact MHA disparities in this growing field, thus constraining the…
Descriptors: Meta Analysis, Man Machine Systems, Artificial Intelligence, Computer Assisted Testing
Federica Picasso – Research on Education and Media, 2024
In the current higher education context, the development of academics' competencies seems to be a crucial issue, with a strong focus on teaching, learning and assessment digital skills (Redecker & Punie, 2017). In connection with the framework of DigCompEdu (2017), it seems important to understand how to better sustain academics' new…
Descriptors: Technology Uses in Education, Computer Assisted Testing, Feedback (Response), Evaluation Methods
Baskas, Richard S.; Theroux, Ryan – Online Submission, 2022
In general, for teachers to prepare to teach, run a class, and assess student work, they need a class with students, well-structured courses, and an assessment to measure student progress. Teachers should be prepared to use traditional and virtual settings for a successful classroom. Teachers should also use three knowledge-learning objectives,…
Descriptors: Evaluation Methods, Electronic Learning, Adult Students, In Person Learning
Surahman, Ence; Wang, Tzu-Hua – Journal of Computer Assisted Learning, 2022
Background: Academic dishonesty (AD) and trustworthy assessment (TA) are fundamental issues in the context of an online assessment. However, little systematic work currently exists on how researchers have explored AD and TA issues in online assessment practice. Objectives: Hence, this research aimed at investigating the latest findings regarding…
Descriptors: Ethics, Trust (Psychology), Computer Assisted Testing, Educational Technology

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