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Direct linkWang, Mengdi; Chau, Hung; Thaker, Khushboo; Brusilovsky, Peter; He, Daqing – Technology, Knowledge and Learning, 2023
With the increased popularity of electronic textbooks, there is a growing interest in developing a new generation of "intelligent textbooks," which have the ability to guide readers according to their learning goals and current knowledge. Intelligent textbooks extend regular textbooks by integrating machine-manipulable knowledge, and the…
Descriptors: Documentation, Electronic Publishing, Textbooks, Artificial Intelligence
Muhammad Afzaal; Aayesha Zia; Jalal Nouri; Uno Fors – Technology, Knowledge and Learning, 2024
Self-regulated learning is an essential skill that can help students plan, monitor, and reflect on their learning in order to achieve their learning goals. However, in situations where there is a lack of effective feedback and recommendations, it becomes challenging for students to self-regulate their learning. In this paper, we propose an…
Descriptors: Feedback (Response), Artificial Intelligence, Independent Study, Automation
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
Jessie S. Barrot – Technology, Knowledge and Learning, 2025
Significant advancements in artificial intelligence (AI) technologies have led to the development of Google Gemini, which can be used to provide automated writing assistance. Within higher education, this feature extends to research writing. However, skepticism is particularly evident as students, teachers, and researchers in universities explore…
Descriptors: Artificial Intelligence, Computer Software, Computer Uses in Education, Educational Research
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
Pirnay-Dummer, Pablo – Technology, Knowledge and Learning, 2015
A local semantic trace is a certain quasi-propositional structure that can still be reconstructed from written content that is incomplete or does not follow a proper grammar. It can also retrace bits of knowledge from text containing only very few words, making the microstructure of these artifacts of knowledge externalization available for…
Descriptors: Semantics, Grammar, Speech, Knowledge Level
