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Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Peer reviewedAmy Adair – Grantee Submission, 2024
Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Scaffolding (Teaching Technique)
Mojarad, Shirin; Baker, Ryan S.; Essa, Alfred; Stalzer, Steve – Journal of Interactive Learning Research, 2021
Despite the importance of replication, it remains rare in the interactive learning research community. In this paper, we attempt to replicate recent quasi-experimental results suggesting that the ALEKS intelligent tutoring system is effective at improving student course outcomes in higher education (Mojarad et al., 2018). In this paper, we conduct…
Descriptors: Intelligent Tutoring Systems, Replication (Evaluation), Probability, Quasiexperimental Design
Glaze, Andrew; Moyer-Packenham, Patricia; Longhurst, Max – Journal of Computers in Mathematics and Science Teaching, 2021
The purpose of this mixed-methods study was to investigate the relationship between teachers' conceptions of mathematics and their use of intelligent tutoring systems for mathematics instruction. Intelligent tutoring systems are adaptive computer programs which administer mathematics instruction to students based on their cognitive state. A…
Descriptors: Junior High School Teachers, Mathematics Teachers, Teacher Attitudes, Technology Uses in Education
Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo – IEEE Transactions on Education, 2021
Contribution: This article presents the instruction of computer programming using adaptive learning activities considering students' cognitive skills based on the learning theory of the Revised Bloom Taxonomy (RBT). To achieve this, the system converts students' knowledge level to fuzzy weights, and using rule-based decision making, delivers…
Descriptors: Undergraduate Students, Intelligent Tutoring Systems, Computer Science Education, Programming
Kuhail, Mohammad Amin; Alturki, Nazik; Alramlawi, Salwa; Alhejori, Kholood – Education and Information Technologies, 2023
Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners' behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents…
Descriptors: Educational Technology, Computer Mediated Communication, Artificial Intelligence, Technology Uses in Education
Developing an Intelligent Tool for Computer-Assisted Formulaic Language Learning from YouTube Videos
Lin, Phoebe – ReCALL, 2022
This paper presents IdiomsTube (https://www.idiomstube.com), the first-ever computer-assisted language learning tool for facilitating the learning of English idiomatic expressions from YouTube videos. The web-based tool is designed to automatically (1) assess the speech rate and lexical difficulty level of any learner-chosen English-captioned…
Descriptors: Second Language Learning, Second Language Instruction, Video Technology, Teaching Methods
Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
Karumbaiah, Shamya; Ocumpaugh, Jaclyn; Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2022
Educational technology (EdTech) designers need to ensure population validity as they attempt to meet the individual needs of all students. EdTech researchers often have access to larger and more diverse samples of student data to test replication across broad demographic contexts as compared to either the small-scale experiments or the larger…
Descriptors: Educational Technology, Student Diversity, Student Needs, Educational Research
Kay Wijekumar; Karen R. Harris; Steve Graham; Pui-Wa Lei – Grantee Submission, 2022
A central goal of upper elementary schools is improving students' skills to write persuasively using source materials. This study focused on three essential areas of writing at the upper elementary grade levels. First, children learned skills to read and use source materials through the web-based intelligent tutoring system for the text structure…
Descriptors: Grade 5, Persuasive Discourse, Writing (Composition), Electronic Learning
Kausalai Kay Wijekumar; Karen R. Harris; Steve Graham; Puiwa Lei – Educational Technology Research and Development, 2022
A central goal of upper elementary schools is improving students' skills to write persuasively using source materials. This study focused on three important areas of writing at the upper elementary grade levels. First, the web-based intelligent tutoring system for the text structure strategy (ITSS) was used to teach children how to read source…
Descriptors: Elementary School Students, Grade 5, Persuasive Discourse, Writing (Composition)
Zhe Gao – ProQuest LLC, 2022
Mandarin Chinese verbs are composed of one to four characters that function together as a conceptual unit. However, in modern spoken Chinese, most of these verbs are two-character compounds. This dissertation is focused on adult second language (L2) learners' acquisition of these two-character verb compounds. Specifically, the acquisition of a…
Descriptors: Mandarin Chinese, Second Language Learning, Second Language Instruction, Verbs
Paquette, Luc; Baker, Ryan S. – Interactive Learning Environments, 2019
Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…
Descriptors: Comparative Analysis, Student Behavior, Models, Case Studies
Castro, Robin – Education and Information Technologies, 2019
Education is a complex system that requires multiple perspectives and levels of analysis to understand its contexts, dynamics, and actors' interactions, particularly concerning technological innovations. This paper aims to identify some of the most promising trends in blended learning implementations in higher education, the capabilities provided…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Higher Education
Rosé, Carolyn P.; McLaughlin, Elizabeth A.; Liu, Ran; Koedinger, Kenneth R. – British Journal of Educational Technology, 2019
Using data to understand learning and improve education has great promise. However, the promise will not be achieved simply by AI and Machine Learning researchers developing innovative models that more accurately predict labeled data. As AI advances, modeling techniques and the models they produce are getting increasingly complex, often involving…
Descriptors: Discovery Learning, Man Machine Systems, Artificial Intelligence, Models

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