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Sedigheh Karimpour; Ehsan Namaziandost; Hossein Kargar Behbahani – Journal of Educational Computing Research, 2025
As an integral part of dynamic assessment, computerized dynamic assessment (CDA) offers learners computer-assisted automated mediation. Accordingly, the possible efficacy of corrective feedback seems to be enhanced with new technologies, such as artificial intelligence tools, that offer automatic corrective feedback. Using technology-enhanced…
Descriptors: Computer Assisted Testing, Feedback (Response), Language Acquisition, Electronic Learning
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
Yaser Rezk – ProQuest LLC, 2021
Instructor feedback strategies play a key role in the learning acquisition process, especially in online environments. In addition, educational improvement and reform cannot occur without timely and effective assessment approaches. This study, grounded on Bandura's 1967 "self-efficacy and social cognitive theory," focused on identifying…
Descriptors: Learning Processes, Feedback (Response), Electronic Learning, Evaluation Methods
Prendes-Espinosa, Paz; García-Tudela, Pedro A.; Gutiérrez-Porlán, Isabel – International Education Studies, 2022
Formative assessment is a strategy that optimizes the learning process at any educational level, however its use is not very frequent as literature revision shows. In this paper, we analyse the use of formative assessment in online postgraduate studies (masters) in Spanish universities. Our sample was 31 online master's degrees coordinators and we…
Descriptors: Foreign Countries, Formative Evaluation, Student Evaluation, Graduate Students
Kim, Hyojoon; Song, Jinwoong – Research in Science Education, 2023
Online learning overcomes space and time constraints; however, it presents challenges in teacher-learner interaction. This study explores the potential of feedback in online formative assessment (OFA) to enhance such interactions. This study identified different types of feedbacks and analyzed the characteristics of interactions between teachers,…
Descriptors: Teacher Student Relationship, Interaction, Computer Assisted Testing, Formative Evaluation
Somers, Rick; Cunningham-Nelson, Samuel; Boles, Wageeh – Australasian Journal of Educational Technology, 2021
In this study, we applied natural language processing (NLP) techniques, within an educational environment, to evaluate their usefulness for automated assessment of students' conceptual understanding from their short answer responses. Assessing understanding provides insight into and feedback on students' conceptual understanding, which is often…
Descriptors: Natural Language Processing, Student Evaluation, Automation, Feedback (Response)
Zheng, Lanqin; Long, Miaolang; Chen, Bodong; Fan, Yunchao – International Journal of Educational Technology in Higher Education, 2023
Online collaborative learning is implemented extensively in higher education. Nevertheless, it remains challenging to help learners achieve high-level group performance, knowledge elaboration, and socially shared regulation in online collaborative learning. To cope with these challenges, this study proposes and evaluates a novel automated…
Descriptors: Learning Analytics, Computer Assisted Testing, Cooperative Learning, Graphs
Zhang, Ling; Jackson, Haidee A.; Hunt, Tiffany L.; Carter, Richard Allen; Yang, Sohyun; Emerling, Christopher R. – TEACHING Exceptional Children, 2022
Mathematical problem solving is a complex cognitive activity, which poses difficulties for students with and without disabilities in inclusive learning environments. With a variety of functions, Learning Management Systems (LMSs) have the potential to enhance personalized learning to meet the diverse needs of all students. This paper provides…
Descriptors: Integrated Learning Systems, Mathematics Skills, Problem Solving, Evidence Based Practice
Mertens, Ute; Finn, Bridgid; Lindner, Marlit Annalena – Journal of Educational Psychology, 2022
Feedback is one of the most important factors for successful learning. Contemporary computer-based learning and testing environments allow the implementation of automated feedback in a simple and efficient manner. Previous meta-analyses suggest that different types of feedback are not equally effective. This heterogeneity might depend on learner…
Descriptors: Computer Assisted Testing, Feedback (Response), Electronic Learning, Network Analysis
Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
Michinov, Nicolas; Anquetil, Éric; Michinov, Estelle – Journal of Computer Assisted Learning, 2020
Peer Instruction is an active learning method widely used in higher education, whereby students answer a series of questions twice, once before and once after peer discussion. There is an ongoing debate as to whether a collective feedback should be given after the students' initial answer, and if so, how the frequently observed group conformity…
Descriptors: Peer Teaching, Feedback (Response), Discussion, Active Learning
Enders, Natalie; Gaschler, Robert; Kubik, Veit – Psychology Learning and Teaching, 2021
Online-quizzes are an economic and objective method for formative assessment in universities. However, closed questions have been criticized for promoting shallow learning and resulting often in poor learning outcomes. These disadvantages can be overcome by embedding closed questions in effective instructional designs involving feedback. In the…
Descriptors: Objective Tests, Computer Assisted Testing, Online Courses, Distance Education
Barana, Alice; Marchisio, Marina; Sacchet, Matteo – Education Sciences, 2021
The COVID-19 pandemic has evidenced a need for tools and methodologies to support students' autonomous learning and the formative assessment practices in distance education contexts, especially for students from challenging backgrounds. This paper proposes a conceptualization of Interactive Feedback (IF) for Mathematics, which is a step-by-step…
Descriptors: Interaction, Feedback (Response), Mathematics Instruction, Instructional Effectiveness
Jeong, Jin Su; González-Gómez, David; Yllana Prieto, Félix – Education Sciences, 2020
Sustainable science, technology, engineering, and mathematics (STEM) education involves lifelong education in various domains. Active learning strategies are receiving increased attention as an important tool, and particularly online-based formative assessment interfaces, although challenges to their use remain in sustainable and flipped STEM…
Descriptors: STEM Education, Sustainability, Active Learning, Preservice Teachers
Akimov, Alexandr; Malin, Mirela – Assessment & Evaluation in Higher Education, 2020
Assessment is an important element of any effective teaching and learning strategy. Designing an appropriate assessment strategy is a continual challenge for instructors because the assessment structure must be well aligned with the intended learning outcomes. Technological advances have led to an expansion of online and distance modes of course…
Descriptors: Verbal Tests, Oral Language, Student Evaluation, Computer Assisted Testing