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Showing 1 to 15 of 28 results Save | Export
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González-Eras, Alexandra; Dos Santos, Ricardo; Aguilar, Jose – International Journal of Artificial Intelligence in Education, 2023
Professional profiles are unstructured documents where the knowledge and experience of the editor predominate, presenting inconsistencies and ambiguities in terms of the competencies they contain, making complicated the recognition of knowledge and skills necessary for the proposal of university study programs. Also, the identification of…
Descriptors: Technological Literacy, Competence, Profiles, Evaluation Methods
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Bellas, Francisco; Guerreiro-Santalla, Sara; Naya, Martin; Duro, Richard J. – International Journal of Artificial Intelligence in Education, 2023
This paper presents a proposal of specific curriculum in Artificial Intelligence (AI) for high school students, which has been organized as a two-year subject. The curriculum was designed based on two premises. The first one is that, although the proposal is targeted to scientific programmes, the involved students and teachers do not have any…
Descriptors: Foreign Countries, Artificial Intelligence, Curriculum, High Schools
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Kuzilek, Jakub; Zdrahal, Zdenek; Vaclavek, Jonas; Fuglik, Viktor; Skocilas, Jan; Wolff, Annika – International Journal of Artificial Intelligence in Education, 2023
Student drop-out is one of the most critical issues that higher educational institutions face nowadays. The problem is significant for first-year students. These freshmen are especially at risk of failing due to the transition from different educational settings at high school. Thanks to the massive boom of Information and Communication…
Descriptors: Foreign Countries, College Freshmen, Engineering Education, Test Wiseness
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Chounta, Irene-Angelica; Bardone, Emanuele; Raudsep, Aet; Pedaste, Margus – International Journal of Artificial Intelligence in Education, 2022
In this article, we present a study on teachers' perceptions about Artificial Intelligence (AI) as a tool to support teaching in Estonian K-12 education. Estonia is promoting technological innovation in education. According to the Index of Readiness for Digital Lifelong Learning (IRDLL), Estonia was ranked first among 27 European countries. In…
Descriptors: Foreign Countries, Teacher Attitudes, Artificial Intelligence, Elementary Secondary Education
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Mahroeian, Hamid; Daniel, Ben – International Journal of Artificial Intelligence in Education, 2021
Interest in the use of analytics to support evidence-based decision-making in higher education is relatively a new phenomenon. The available research suggests that analytics can enhance an institution's ability to make evidence-based informed decisions that foster growth and increased productivity. The present study explored how institutions of…
Descriptors: Foreign Countries, Higher Education, Decision Making, Learning Analytics
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Liaqat, Amna; Munteanu, Cosmin; Demmans Epp, Carrie – International Journal of Artificial Intelligence in Education, 2021
300,000 immigrants move to Canada each year in search of better economic opportunities, and many have limited English language skills. Improving written literacy of newcomers can enhance education, employment, or social integration opportunities. However, frequent, timely, and personalized feedback is not always possible for immigrants. Online…
Descriptors: Adult Students, English Language Learners, Feedback (Response), Automation
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Fan, Yizhou; Matcha, Wannisa; Uzir, Nora'ayu Ahmad; Wang, Qiong; Gaševic, Dragan – International Journal of Artificial Intelligence in Education, 2021
The importance of learning design in education is widely acknowledged in the literature. Should learners make effective use of opportunities provided in a learning design, especially in online environments, previous studies have shown that they need to have strong skills for self-regulated learning (SRL). The literature, which reports the use of…
Descriptors: Learning Analytics, Instructional Design, Independent Study, Multivariate Analysis
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Brooks, Christopher; Quintana, Rebecca M.; Choi, Heeryung; Quintana, Chris; NeCamp, Timothy; Gardner, Joshua – International Journal of Artificial Intelligence in Education, 2021
In this article we describe our experiences building a large-scale data science program aimed at supporting diversity in online data science learning. This program was built to support a set of introductory skills-based, higher education courses. We are motivated by work done in project-based learning contexts and culturally responsive pedagogies…
Descriptors: Introductory Courses, Culturally Relevant Education, Higher Education, Student Projects
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Mousavi, Amin; Schmidt, Matthew; Squires, Vicki; Wilson, Ken – International Journal of Artificial Intelligence in Education, 2021
Greer and Mark's (2016) paper suggested and reviewed different methods for evaluating the effectiveness of intelligent tutoring systems such as Propensity score matching. The current study aimed at assessing the effectiveness of automated personalized feedback intervention implemented via the Student Advice Recommender Agent (SARA) in a first-year…
Descriptors: Automation, Feedback (Response), Intervention, College Freshmen
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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
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Knight, Simon; Buckingham Shum, Simon; Ryan, Philippa; Sándor, Ágnes; Wang, Xiaolong – International Journal of Artificial Intelligence in Education, 2018
Research into the teaching and assessment of student writing shows that many students find academic writing a challenge to learn, with legal writing no exception. Improving the availability and quality of timely formative feedback is an important aim. However, the time-consuming nature of assessing writing makes it impractical for instructors to…
Descriptors: Writing Evaluation, Natural Language Processing, Legal Education (Professions), Undergraduate Students
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Stevenson, Claire E. – International Journal of Artificial Intelligence in Education, 2017
This study contrasted the effects of tutoring, multiple try and no feedback on children's progression in analogy solving and examined individual differences herein. Feedback that includes additional hints or explanations leads to the greatest learning gains in adults. However, children process feedback differently from adults and effective…
Descriptors: Tutoring, Feedback (Response), Children, Short Term Memory
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Ghergulescu, Ioana; Muntean, Cristina Hava – International Journal of Artificial Intelligence in Education, 2016
Engagement influences participation, progression and retention in game-based e-learning (GBeL). Therefore, GBeL systems should engage the players in order to support them to maximize their learning outcomes, and provide the players with adequate feedback to maintain their motivation. Innovative engagement monitoring solutions based on players'…
Descriptors: Case Studies, Questionnaires, Electronic Learning, Educational Games
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Vassileva, J.; McCalla, G. I.; Greer, J. E. – International Journal of Artificial Intelligence in Education, 2016
PHelpS was a system that helped Correctional Service Canada (CSC) workers to find appropriate helpers among their peers when they were encountering problems while interacting with the CSC database. This seemingly simple system had substantial, and surprising, ramifications. Over time it transformed each of our perspectives as to the issues facing…
Descriptors: Databases, Learning Activities, Teaching Methods, Privacy
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Rosen, Yigal – International Journal of Artificial Intelligence in Education, 2015
How can activities in which collaborative skills of an individual are measured be standardized? In order to understand how students perform on collaborative problem solving (CPS) computer-based assessment, it is necessary to examine empirically the multi-faceted performance that may be distributed across collaboration methods. The aim of this…
Descriptors: Computer Assisted Testing, Problem Solving, Cooperation, Man Machine Systems
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