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Orr, J. Walker; Russell, Nathaniel – International Educational Data Mining Society, 2021
The assessment of program functionality can generally be accomplished with straight-forward unit tests. However, assessing the design quality of a program is a much more difficult and nuanced problem. Design quality is an important consideration since it affects the readability and maintainability of programs. Assessing design quality and giving…
Descriptors: Programming Languages, Feedback (Response), Units of Study, Computer Science Education
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Tapalova, Olga; Zhiyenbayeva, Nadezhda – Electronic Journal of e-Learning, 2022
Artificial intelligence is the driving force of change focusing on the needs and demands of the student. The research explores Artificial Intelligence in Education (AIEd) for building personalised learning systems for students. The research investigates and proposes a framework for AIEd: social networking sites and chatbots, expert systems for…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Electronic Learning
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Skromme, B. J.; Wong, M. L.; Redshaw, C. J.; O'Donnell, M. A. – IEEE Transactions on Education, 2022
Contribution: A new operational definition of series connections is given based on elements belonging to the same two meshes, which is properly dual to the usual definition of parallel elements being connected to the same two nodes. Furthermore, computer-based exercises have been developed and tested to teach students about such connections in…
Descriptors: Engineering Education, Electronic Equipment, Computer Assisted Instruction, Coding
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Godwin-Jones, Robert – Language Learning & Technology, 2022
In recent years, advances in artificial intelligence (AI) have led to significantly improved, or in some cases, completely new digital tools for writing. Systems for writing assessment and assistance based on automated writing evaluation (AWE) have been available for some time. That is the case for machine translation as well. More recent are…
Descriptors: Writing Instruction, Artificial Intelligence, Feedback (Response), Writing Evaluation
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Heeg, Dagmar Mercedes; Avraamidou, Lucy – Educational Media International, 2023
Artificial Intelligence is widely used across contexts and for different purposes, including the field of education. However, a review of the literature showcases that while there exist various review studies on the use of AI in education, missing remains a review focusing on science education. To address this gap, we carried out a systematic…
Descriptors: Artificial Intelligence, Science Instruction, Educational Technology, Program Effectiveness
John Sabatini; Arthur C. Graesser; John Hollander; Tenaha O'Reilly – Grantee Submission, 2023
We argue in this paper that there is currently no adequate theoretical framework or model that spans the twelve odd year trajectory from non-reader to proficient reader, nor addresses fine-grain skill acquisition, mastery and integration. The target construct itself, reading proficiency, as often operationalized as an endpoint of formal secondary…
Descriptors: Literacy Education, Intelligent Tutoring Systems, Decision Making, Standards
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Erümit, Ali Kürsat; Çetin, Ismail – Education and Information Technologies, 2020
The aim of this study is to examine adaptation elements and Intelligent Tutoring System (ITS) elements used in Adaptive Intelligent Tutoring Systems (AITSs), using meta-synthesis methods to analyze the results of previous research. Toward this end, articles appearing in the Web of Science, Google Scholar, Eric and Science Direct databases in 2000…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Design, Information Technology
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Leow, Christine; Rho, Yun Jin; Metusalem, Ross; Kasper, Sara – International Journal of Mobile and Blended Learning, 2020
A consistent challenge of implementing blended learning is the support that students should receive when using online courseware outside of class time. For blended learning to be successful in terms of student learning, the online courseware would need to be able to support the learning of students outside of class time. An interactive, digital…
Descriptors: Courseware, Writing Achievement, Basic Writing, Blended Learning
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Trifa, Amal; Hedhili, Aroua; Chaari, Wided Lejouad – Education and Information Technologies, 2019
E-learning systems have gained nowadays a large student community due to the facility of use and the integration of one-to-one service. Indeed, the personalization of the learning process for every user is needed to increase the student satisfaction and learning efficiency. Nevertheless, the number of students who give up their learning process…
Descriptors: Educational Technology, Technology Uses in Education, Learning Processes, Student Needs
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Ayedoun, Emmanuel; Hayashi, Yuki; Seta, Kazuhisa – International Journal of Artificial Intelligence in Education, 2019
This paper describes an embodied conversational agent enhanced with specific conversational strategies aiming to foster learners' readiness towards communication in a second language (L2). Willingness to communicate (WTC) in a second language is believed to have a direct and sustained influence on learners' actual usage frequency of the target…
Descriptors: Second Language Learning, Anxiety, Communication (Thought Transfer), Intelligent Tutoring Systems
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Deb, Kaustuv; Banerjee, Sonali; Das, Atanu; Bag, Rajib – International Journal of Information and Communication Technology Education, 2019
Tutorial requirements of student modeling are traditionally identified by human tutors through crisp mental calculations, and the accuracy of this identification enhances with the experience of the tutor. These identifications become challenging when the mode of delivery is through e-learning. Automatic identification of tutorial requirements must…
Descriptors: Intelligent Tutoring Systems, Automation, Identification, Multiple Choice Tests
Selwyn, Neil – John Wiley & Sons, Inc, 2019
Developments in AI, robotics and big data are changing the nature of education. Yet the implications of these technologies for the teaching profession are uncertain. While most educators remain convinced of the need for human teachers, outside the profession there is growing anticipation of a technological reinvention of the ways in which teaching…
Descriptors: Educational Technology, Technology Uses in Education, Robotics, Artificial Intelligence
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Zhang, Jingjing; Gao, Ming; Holmes, Wayne; Mavrikis, Manolis; Ma, Ning – Interactive Learning Environments, 2021
Feedback in exploratory learning systems has been depicted as an important contributor to encourage exploration. However, few studies have explored learners' interaction patterns associated with feedback and the use of external representations in exploratory learning environments. This study used Fractions Lab, an exploratory learning environment…
Descriptors: Interaction, Behavior Patterns, Discovery Learning, Fractions
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Christopoulos, Athanasios; Sprangers, Pieter – Cogent Education, 2021
This study analyzes the integration of an educational technology platform and relates the difficulties faced amidst the Covid-19 pandemic. Initially, we sought to identify the chief barriers educators face when considering the adoption of Information and Communication Technology (ICT). Factors influencing primary and secondary education teachers'…
Descriptors: Educational Technology, Technology Integration, Information Technology, COVID-19
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Pai, Kai-Chih; Kuo, Bor-Chen; Liao, Chen-Huei; Liu, Yin-Mei – Educational Psychology, 2021
The present study aims to examine the pedagogical effectiveness of a Chinese mathematical dialogue-based intelligent tutoring system used for teaching mathematics. The mathematical unit 'multiplication and division of time expressions' was taught to 134 fifth-grade students in three types of instruction conditions: the intelligent tutoring system…
Descriptors: Dialogs (Language), Intelligent Tutoring Systems, Remedial Mathematics, Multiplication
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