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Robert L. Moore; Sophia Soomin Lee; Amanda Taylor Pate; Amanda J. Wilson – Distance Education, 2025
This systematic review synthesizes 14 peer-reviewed studies from 2015 to 2023, focusing on the assessment methods and delivery of digital microcredentials. Microcredentials provide specialized, focused content and recognize professional learning or competency in specific skills. This paper defines digital microcredentials as those offered in an…
Descriptors: Literature Reviews, Microcredentials, Evaluation Methods, Program Evaluation
Jian Zhao; Elaine Chapman; Peyman G. P. Sabet – Education Research and Perspectives, 2024
The launch of ChatGPT and the rapid proliferation of generative AI (GenAI) have brought transformative changes to education, particularly in the field of assessment. This has prompted a fundamental rethinking of traditional assessment practices, presenting both opportunities and challenges in evaluating student learning. While numerous studies…
Descriptors: Literature Reviews, Artificial Intelligence, Evaluation Methods, Student Evaluation
Arif Cem Topuz; Kinshuk – Educational Technology Research and Development, 2024
Online assessments of learning, or online exams, have become increasingly widespread with the rise of distance learning. Online exams are preferred by many students and are perceived as a quick and easy tool to measure knowledge. On the contrary, some students are concerned about the possibility of cheating and technological difficulties in online…
Descriptors: Computer Assisted Testing, Student Evaluation, Evaluation Methods, Student Attitudes
Putnikovic, Marko; Jovanovic, Jelena – IEEE Transactions on Learning Technologies, 2023
Automatic grading of short answers is an important task in computer-assisted assessment (CAA). Recently, embeddings, as semantic-rich textual representations, have been increasingly used to represent short answers and predict the grade. Despite the recent trend of applying embeddings in automatic short answer grading (ASAG), there are no…
Descriptors: Automation, Computer Assisted Testing, Grading, Natural Language Processing
Hattingh, Sherene; Northcote, Maria – Journal of Further and Higher Education, 2023
In the last few decades, the expansion of online learning and online assessment has attracted both negative and positive attention, some of which has celebrated the flexibility and individualised affordances of online learning contexts, while also lamenting the overuse of one-size-fits-all teaching approaches. Virtual learning contexts have been…
Descriptors: Individualized Instruction, Computer Assisted Testing, Literature Reviews, Online Courses
Daniel Lupiya Mpolomoka – Pedagogical Research, 2025
Overview: This systematic review explores the utilization of artificial intelligence (AI) for assessment, grading, and feedback in higher education. The review aims to establish how AI technologies enhance efficiency, scalability, and personalized learning experiences in educational settings, while addressing associated challenges that arise due…
Descriptors: Artificial Intelligence, Higher Education, Evaluation Methods, Literature Reviews
Aranka Bijl; Bernard P. Veldkamp; Saskia Wools; Sebastiaan de Klerk – Educational Technology Research and Development, 2024
The systematic literature review (1) investigates whether 'serious games' provide a viable solution to the limitations posed by traditional high-stakes performance assessments and (2) aims to synthesize game design principles for the game-based performance assessment of professional competencies. In total, 56 publications were included in the…
Descriptors: Educational Games, Student Evaluation, Evaluation Methods, High Stakes Tests
Amr Selim Wannas; Marwa M. AbdelMohsen – Knowledge Management & E-Learning, 2025
The global pandemic caused by COVID-19 has acted as a significant driver for the adoption of online educational practices, including instruction and assessment. Given the urgent need for an alternative to traditional assessment methods during the pandemic, various studies have explored this topic across different contexts to evaluate the impact,…
Descriptors: English (Second Language), Computer Assisted Testing, Second Language Learning, Second Language Instruction
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
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
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
Heil, Joana; Ifenthaler, Dirk – Online Learning, 2023
Online assessment is defined as a systematic method of gathering information about a learner and learning processes to draw inferences about the learner's dispositions. Online assessments provide opportunities for meaningful feedback and interactive support for learners as well as possible influences on the engagement of learners and learning…
Descriptors: Computer Assisted Testing, Higher Education, Literature Reviews, College Students
Dixon, Chris; Oxley, Emily; Nash, Hannah; Gellert, Anna Steenberg – Journal of Learning Disabilities, 2023
Traditional static tests of reading and reading-related skills offer some ability to predict future reading performance, though such screeners may misclassify children with or at risk of reading disorder (RD). Dynamic assessment (DA) is an alternative approach that measures learning potential and may be less dependent on learning background. A…
Descriptors: Evaluation Methods, Identification, Reading Difficulties, Literature Reviews

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