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Carlos Sandoval-Medina; Carlos Argelio Arévalo-Mercado; Estela Lizbeth Muñoz-Andrade; Jaime Muñoz-Arteaga – Journal of Information Systems Education, 2024
Learning basic programming concepts in computer science-related fields poses a challenge for students, to the extent that it becomes an academic-social problem, resulting in high failure and dropout rates. Proposed solutions to the problem can be found in the literature, such as the development of new programming languages and environments, the…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Instructional Materials
Silvia García-Méndez; Francisco de Arriba-Pérez; Francisco J. González-Castaño – International Association for Development of the Information Society, 2023
Mobile learning or mLearning has become an essential tool in many fields in this digital era, among the ones educational training deserves special attention, that is, applied to both basic and higher education towards active, flexible, effective high-quality and continuous learning. However, despite the advances in Natural Language Processing…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Usability
Alexander Tobias Neumann; Yue Yin; Sulayman Sowe; Stefan Decker; Matthias Jarke – IEEE Transactions on Education, 2025
Contribution: This research explores the benefits and challenges of developing, deploying, and evaluating a large language model (LLM) chatbot, MoodleBot, in computer science classroom settings. It highlights the potential of integrating LLMs into LMSs like Moodle to support self-regulated learning (SRL) and help-seeking behavior. Background:…
Descriptors: Computer Science Education, Databases, Information Systems, Classroom Environment
Christine Ting-Yu Yang; Shu-Li Lai; Howard Hao-Jan Chen – Interactive Learning Environments, 2024
Research has revealed the positive impact of intelligent personal assistants (IPAs) on L2 learners' oral development and learning attitude. These studies, however, focused mostly on the in-class use of IPAs, with existing research on the out-of-class use being exploratory. To fill the gap of lacking empirical investigations on IPA-based autonomous…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Influence of Technology, Personal Autonomy
Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
Johnson, W. Lewis – International Journal of Artificial Intelligence in Education, 2019
Cloud computing offers developers of learning environments access to unprecedented amounts of learner data. This makes possible "data-driven development" (D[superscript 3]) of learning environments. In the D[superscript 3] approach the learning environment is a data collection tool as well a learning tool. It continually collects data…
Descriptors: Foreign Countries, Data Use, English (Second Language), Second Language Instruction
Demir, Ümit – Pedagogies: An International Journal, 2020
This research was conducted to determine the effects of the using negative knowledge-based Intelligent Teaching System (ITS) evaluator software in the assessment and evaluation processes of English Teaching as a Foreign language. Experimental design with the pretest-posttest control group was used in this study. The study group consists of 67…
Descriptors: Misconceptions, Intelligent Tutoring Systems, Computer Software, Vocational Education
Prihar, Ethan; Heffernan, Neil – International Educational Data Mining Society, 2021
Similar content has tremendous utility in classroom and online learning environments. For example, similar content can be used to combat cheating, track students' learning over time, and model students' latent knowledge. These different use cases for similar content all rely on different notions of similarity, which make it difficult to determine…
Descriptors: Computer Software, Middle School Teachers, Mathematics Teachers, College Students
Dizon, Gilbert; Tang, Daniel – Research-publishing.net, 2019
Although initial research involving Intelligent Personal Assistants (IPAs) for language learning have yielded promising results, no study has examined their use in the context of Autonomous Second Language Learning (ASLL). Thus, the main goal of this pilot study was to investigate the use of an IPA, specifically Alexa, for ASLL. Two Japanese…
Descriptors: Independent Study, Computer Software, Student Attitudes, Second Language Learning
Yin, Qinghua; Satar, Müge – International Online Journal of Education and Teaching, 2020
Chatbots, whose potential for language learning have caused controversy among Second Language Acquisition (SLA) researchers (Atwell, 1999; Fryer & Carpenter, 2006; Fryer & Nakao, 2009; Parker, 2005, Coniam, 2014; Jia, 2004; Chantarotwong, 2005) are intelligent conversational systems stimulating human interlocutors with voice or text. In…
Descriptors: English (Second Language), Second Language Learning, Computer Mediated Communication, Content Analysis
Aravind, Vasudeva Rao; McConnell, Marcella Kay – World Journal on Educational Technology: Current Issues, 2018
Educating our future citizens in science and engineering is vitally important to ensure future advancement. Presently, in the light of environmental sustainability, it is critical that students learn concepts relating to energy, its consumption and future demands. In this article, we harness the state of the educational technology, namely…
Descriptors: Intelligent Tutoring Systems, Science Instruction, Energy, Instructional Design
Pearson, 2018
Pearson sought to explore whether the use of Mastering Physics, an online tutorial system used in higher education introductory physics courses, is related to students' results in exams and external standardized tests. This Research Report presents findings from two research studies we conducted with Penn State University, a school known for…
Descriptors: Physics, Science Instruction, Introductory Courses, Science Tests
Lavbic, Dejan; Matek, Tadej; Zrnec, Aljaž – Interactive Learning Environments, 2017
Today's software industry requires individuals who are proficient in as many programming languages as possible. Structured query language (SQL), as an adopted standard, is no exception, as it is the most widely used query language to retrieve and manipulate data. However, the process of learning SQL turns out to be challenging. The need for a…
Descriptors: Evaluation Methods, Information Systems, Intelligent Tutoring Systems, Computer Science Education
Dounas, Lamiae; Salinesi, Camille; Beqqali, Omar El – Journal of Information Technology Education: Research, 2019
Aim/Purpose: In this paper, we highlight the need to monitor and diagnose adaptive e-learning systems requirements at runtime to develop a better understanding of their behavior during learning activities and improve their design. Our focus is to reveal which learning requirements the adaptive system is satisfying while still evolving and to…
Descriptors: Electronic Learning, Learning Activities, Instructional Design, Accuracy
Lallé, Sébastien; Conati, Cristina; Azevedo, Roger; Mudrick, Nicholas; Taub, Michelle – International Educational Data Mining Society, 2017
In this paper, we investigate the relationship between students' learning gains and their compliance with prompts fostering self-regulated learning (SRL) during interaction with MetaTutor, a hypermedia-based intelligent tutoring systems (ITS). When possible, we evaluate compliance from student explicit answers on whether they want to follow the…
Descriptors: Compliance (Psychology), Metacognition, Computer Software, Eye Movements