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Lee, Hyeonju; Ha, Minsu; Lee, Jurim; Aini, Rahmi Qurota; Rusmana, Ai Nurlaelasari; Sya'bandari, Yustika; Lee, Jun-Ki; Shin, Sein; Lee, Gyeong-Geon; Choo, Jaegul; Choi, Sungchul; Kim, Namhyoung; Park, Jisun – Technology, Knowledge and Learning, 2023
This study aimed to develop an automated computer scoring system (ACSS) incorporating a Korean spell checker to assess students' constructed responses and to check the efficacy of this system. To accomplish this, we examined the performance of automatic spelling correction in reporting and correcting spelling errors, the interaction of gender and…
Descriptors: Spelling, Error Correction, Foreign Countries, Automation
Baidada, Mohammed – International Journal of Web-Based Learning and Teaching Technologies, 2022
In education, the needs of learners are different in the majority of the time, as each has specificities in terms of preferences, performance and goals. Recommendation systems have proven to be an effective way to ensure this learning personalization. Already used and tested in other areas such as e-commerce, their adaptation to the educational…
Descriptors: Foreign Countries, Higher Education, Automation, Online Systems
Malakul, Sivakorn; Park, Innwoo – Smart Learning Environments, 2023
While subtitles are considered a primary learning support tool for people who cannot understand video narration in foreign languages, recent advancements in artificial intelligence (AI) technologies have played a pivotal role in automatic subtitling on online video platforms such as YouTube. This study examines the effects of three different types…
Descriptors: Captions, Automation, Video Technology, Secondary School Students
Jakob Schwerter; Taiga Brahm – Technology, Knowledge and Learning, 2024
University students often learn statistics in large classes, and in such learning environments, students face an exceptionally high risk of failure. One reason for this is students' frequent statistics anxiety. This study shows how students can be supported using e-learning exercises with automated knowledge of correct response feedback,…
Descriptors: Statistics Education, College Students, Mathematics Anxiety, Electronic Learning
Slavko Žitnik; Glenn Gordon Smith – Interactive Learning Environments, 2024
In the recent, and ongoing, COVID-19 pandemic, remote or online K-12 schooling became the norm. Even if the pandemic tails off somewhat, remote K-12 schooling will likely remain more frequent than it was before the pandemic. A mainstay technique of online learning, at least at the college and graduate level, has been the online discussion. Since…
Descriptors: Grade 4, Elementary School Students, Discussion, Automation
Gholizadeh, Gholamreza; Rahimi, Mehrak – Contemporary Educational Technology, 2023
Mobile learning has extensively influenced students' learning gains and motivation due to the hardware and software development of mobile devices and applications in recent decades. On-the-go learning increases the capacity for flexible and joyful learning and guarantees access to the instructional content anywhere, anytime. Despite their…
Descriptors: Self Management, Automation, Error Correction, Vocabulary
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
Qi Wang; Shengquan Yu – Interactive Learning Environments, 2024
Learning resources are quite important for online learning while resource provision based on algorithms could not address learners' ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the "Structure" and "Content" coupled closely and could not easily adjust when learners' needs…
Descriptors: Electronic Learning, Educational Resources, Automation, Models
Aguirre, Regie F.; Cerbito, Adonis F.; Gayod, Daniel H. – Online Submission, 2022
Online education becomes a viable and stimulating method for instructional and service delivery by providing students with great flexibility in the current situation. Learning issues, personal issues, quality of learning, instructor, technology, and social interactions are the dimensions used for students' online learning experiences and…
Descriptors: Electronic Learning, Learning Experience, Student Satisfaction, Distance Education
Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
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
Hilal Yildiz; S. Ipek Kuru Gonen – Turkish Online Journal of Distance Education, 2024
It is imperative to use new technologies in a supportive manner to meet the learners' and teachers' demanding needs as educational environments change in the digital age. The continuous expansion of online learning and distance education opportunities responds to the demands of learners and teachers while pioneering the use of technology in…
Descriptors: Writing Evaluation, Automation, Feedback (Response), Electronic Learning
Ayse Taskiran; Mujgan Yazici; Irem Erdem Aydin – E-Learning and Digital Media, 2024
In recent years, automated feedback (AF) has greatly increased its applicability as a mean to support development of English as a foreign language (EFL) learners' writing competence in the context of face-to-face education. This study examines contribution of AF to the development of writing competence of EFL learners in open and distance learning…
Descriptors: Automation, Feedback (Response), Writing (Composition), English (Second Language)
Rezat, Sebastian – ZDM: Mathematics Education, 2021
One of the most prevalent features of digital mathematics textbooks, compared to traditional ones, is the provision of automated feedback on students' solutions. Since feedback is regarded as an important factor that influences learning, this is often seen as an affordance of digital mathematics textbooks. While there is a large body of mainly…
Descriptors: Automation, Feedback (Response), Electronic Publishing, Textbooks
M. Huerta-Gomez-Merodio; M. A. Fernández-Ruiz; M. V. Requena-Garcia-Cruz – European Journal of Education, 2024
Research on improving engineering skills in students advocates for high-quality teaching practices as well as the implementation of digitally enhanced management systems, such as e-Learning. Furthermore, COVID-19 led to several changes in education, such as switching drastically from face to face to emergency remote and later hybrid teaching. This…
Descriptors: Electronic Learning, Blended Learning, Engineering Education, Skill Development