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Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
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Bulut, Okan; Gorgun, Guher; Yildirim-Erbasli, Seyma N.; Wongvorachan, Tarid; Daniels, Lia M.; Gao, Yizhu; Lai, Ka Wing; Shin, Jinnie – British Journal of Educational Technology, 2023
As universities around the world have begun to use learning management systems (LMSs), more learning data have become available to gain deeper insights into students' learning processes and make data-driven decisions to improve student learning. With the availability of rich data extracted from the LMS, researchers have turned much of their…
Descriptors: Formative Evaluation, Learning Analytics, Models, Learning Management Systems
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Duan, Lian; Song, Hongbo; Huang, Xiaoshan; Lin, Weihan; Jiang, Yan; Wang, Xingheng; Wu, Yihua – Information and Learning Sciences, 2023
Purpose: The study examined the impact of feedback types through a learning management system (LMS) on employees' training performance. The purpose of this study is to establish effective feedback on advanced technologies for promoting corporate training. Design/methodology/approach: A total of 148 trainees were recruited from a multinational…
Descriptors: Feedback (Response), Employees, Goal Orientation, Online Courses
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Daniel King – Journal of Learning Development in Higher Education, 2023
This paper investigates the impact of online formative assessments on students' performance in an introductory accounting module. The online formative assessments were objective tests and a regression model was developed to test the relationship between formative assessment usage and exam performance. The statistical analysis shows a statistically…
Descriptors: Computer Assisted Testing, Formative Evaluation, Student Evaluation, Introductory Courses
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Jennifer R. Simons – Teacher Educators' Journal, 2024
This study analyzes educators' conceptions of STEM education at the beginning of an online graduate course for in-service teachers. It offers a qualitative thematic analysis of educators' initial conception of STEM education and their roles as STEM educators through the use of concept maps and reflection statements. Conceptions of STEM varied…
Descriptors: Concept Mapping, Teacher Attitudes, STEM Education, Graduate School Faculty
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Harun Cigdem; Mustafa Ozturk; Yusuf Karabacak; Nuri Atik; Serkan Gürkan; Mevlana Halit Aldemir – Education and Information Technologies, 2024
Effectively engaging learners in an online learning environment is a crucial component of instructional design that contributes to improving performance. Gamification, a contemporary instructional strategy, seeks to integrate game elements such as leaderboards into non-game contexts with the aim of increasing learner engagement and performance.…
Descriptors: Online Courses, Engineering Education, State Universities, Learner Engagement
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Lu, Chang; Cutumisu, Maria – International Journal of Educational Technology in Higher Education, 2022
In traditional school-based learning, attendance was regarded as a proxy for engagement and key indicator for performance. However, few studies have explored the effect of in-class attendance in technology-enhanced courses that are increasingly provided by secondary institutions. This study collected n = 367 undergraduate students' log files from…
Descriptors: Learner Engagement, Academic Achievement, Formative Evaluation, Attendance Patterns
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Okan Bulut; Guher Gorgun; Seyma Nur Yildirim-Erbasli – Journal of Computer Assisted Learning, 2025
Background: Research shows that how formative assessments are operationalized plays a crucial role in shaping their engagement with formative assessments, thereby impacting their effectiveness in predicting academic achievement. Mandatory assessments can ensure consistent student participation, leading to better tracking of learning progress.…
Descriptors: Formative Evaluation, Academic Achievement, Student Participation, Learning Processes
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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
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Spady, Rebecca; Karge, Belinda Dunnick – Distance Learning, 2022
As the number of online educational courses continues to grow, it is imperative that we also incorporate effective research-based practices such as the use of formative assessment. This study aimed to examine the relationship of formative self-assessment to academic achievement and self-efficacy in online graduate courses. The research included a…
Descriptors: Formative Evaluation, Feedback (Response), Graduate Students, Online Courses
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Rissanen, Anna; Costello, Jane M. – Journal of Applied Research in Higher Education, 2023
Purpose: Online resources can be helpful for students and can augment the content presented in learning environments. A team consisting of four biologists, a graduate student, instructional designer and media developers collaborated on the design, development and evaluation of first-year biology online tutorials in a Canadian University. The…
Descriptors: Instructional Effectiveness, Interaction, Online Courses, Tutorial Programs
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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
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Hickey, Daniel T. – Educational Psychologist, 2022
The articles in this special issue on Improving Online Learning Theory, Research, and Practice characterize online learning using a set of "diverse lenses." Most of these articles draw primarily from modern socio-constructivist perspectives and applied psychological constructs derived from more basic research. My strong embrace of…
Descriptors: Online Courses, Learner Engagement, Equal Education, Summative Evaluation
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Rajlaxmi Chouhan – Learning: Research and Practice, 2024
This paper presents simple and intuitive strategies for effective online assessment of a freshman engineering course. The proposed strategies for unproctored online exams include creating multiple sets with identical options, using image-format questions, maintaining short duration of exam, and employing a rotational assignment. Unlike a…
Descriptors: Engineering Education, Tests, Electronic Learning, Supervision
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Anastasia Tzirides; Gabriela Zapata; Patrick Bolger; Bill Cope; Mary Kalantzis; Duane Searsmith – International Journal on E-Learning, 2024
This paper explores the integration of Generative Artificial Intelligence (GenAI) feedback into higher education. Specifically, it examines the views of 11 experienced instructors on fine-tuned GenAI formative feedback of student works in an online graduate program in the United States. The participants assessed sample GenAI reviews, and their…
Descriptors: Artificial Intelligence, Computer Software, Learning Experience, Feedback (Response)
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