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Showing 31 to 45 of 325 results Save | Export
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Lechuga, Christopher G.; Doroudi, Shayan – International Journal of Artificial Intelligence in Education, 2023
Computer-assisted instructional programs such as intelligent tutoring systems are often used to support blended learning practices in K-12 education, as they aim to meet individual student needs with personalized instruction. While these systems have been shown to be effective under certain conditions, they can be difficult to integrate into…
Descriptors: Algorithms, Intelligent Tutoring Systems, Grouping (Instructional Purposes), Ability Grouping
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Bai, Xiaoyu; Stede, Manfred – International Journal of Artificial Intelligence in Education, 2023
Recent years have seen increased interests in applying the latest technological innovations, including artificial intelligence (AI) and machine learning (ML), to the field of education. One of the main areas of interest to researchers is the use of ML to assist teachers in assessing students' work on the one hand and to promote effective…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Natural Language Processing, Evaluation
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Rojas, Matias; Sáez, Cristian; Baier, Jorge; Nussbaum, Miguel; Guerrero, Orlando; Rodríguez, María Fernanda – International Journal of Artificial Intelligence in Education, 2023
Collaborative Problem-Solving Skills (CPS) have become increasingly important. Research into the development of CPS is still scarce, but there are several approaches that may be useful for its development. Specifically, providing feedback in collaborative contexts is key. In this paper, we study and develop a feedback system that uses Automated…
Descriptors: Feedback (Response), Cooperation, Problem Solving, Video Games
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Scherz, Zahava; Salman, Asaf; Alexandron, Giora; Shwartz, Yael – International Journal of Artificial Intelligence in Education, 2023
This two-year study followed a professional learning community (PLC) of STEM Teachers Leaders, referred to as L-PLC. The onset of the COVID-19 pandemic accelerated changes in the focus of many professional development frameworks from face-to-face to online communication. We sought for new ways and tools to follow the professional development and…
Descriptors: Communities of Practice, STEM Education, Teacher Leadership, COVID-19
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Zotov, Vladimir; Kramkowski, Eric – International Journal of Artificial Intelligence in Education, 2023
Intelligent tutoring systems (ITSs) may augment military training systems and mitigate existing limitations in training personnel and resources. A study was conducted to investigate the effectiveness of an embedded rifle marksmanship ITS for Moving Targets (MT-ITS). MT-ITS has two main components: (1) a Smart Sight System that provides a…
Descriptors: Intelligent Tutoring Systems, Military Personnel, Military Training, Program Effectiveness
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José-García, Adán; Sneyd, Alison; Melro, Ana; Ollagnier, Anaïs; Tarling, Georgina; Zhang, Haiyang; Stevenson, Mark; Everson, Richard; Arthur, Rudy – International Journal of Artificial Intelligence in Education, 2023
Artificial Intelligence in Education (AIED) has witnessed significant growth over the last twenty-five years, providing a wide range of technologies to support academic, institutional, and administrative services. More recently, AIED applications have been developed to prepare students for the workforce, providing career guidance services for…
Descriptors: Career Guidance, Student Evaluation, Artificial Intelligence, Networks
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Santos, Glaucia Nize Martins; da Silva, Helbert Eustáquio Cardoso; Figueiredo, Paulo Tadeu de Souza; Mesquita, Carla Ruffeil Moreira; Melo, Nilce Santos; Stefani, Cristine Miron; Leite, André Ferreira – International Journal of Artificial Intelligence in Education, 2023
Background: Artificial intelligence (AI) is able to emulate human performance on a task and may improve the radiologists' work. This text and opinion review explored the implementation of AI in diagnostic radiology education curricula at pre-licensure training/education in healthcare. The question was: what are the pedagogical possibilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Clinical Diagnosis, Radiology
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Vannaprathip, Narumol; Haddawy, Peter; Schultheis, Holger; Suebnukarn, Siriwan – International Journal of Artificial Intelligence in Education, 2022
Virtual reality simulation has had a significant impact on training of psychomotor surgical skills, yet there is still a lack of work on its use to teach surgical decision making. This is particularly noteworthy given the recognized importance of decision making in achieving positive surgical outcomes. With the objective of filling this gap, we…
Descriptors: Intelligent Tutoring Systems, Decision Making, Surgery, Teaching Methods
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Fang, Ying; Lippert, Anne; Cai, Zhiqiang; Chen, Su; Frijters, Jan C.; Greenberg, Daphne; Graesser, Arthur C. – International Journal of Artificial Intelligence in Education, 2022
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…
Descriptors: Intelligent Tutoring Systems, Classification, Reading Comprehension, Accuracy
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Zhou, Guojing; Azizsoltani, Hamoon; Ausin, Markel Sanz; Barnes, Tiffany; Chi, Min – International Journal of Artificial Intelligence in Education, 2022
In interactive e-learning environments such as Intelligent Tutoring Systems, pedagogical decisions can be made at different levels of granularity. In this work, we focus on making decisions at "two levels": whole problems vs. single steps and explore three types of granularity: "problem-level only" ("Prob-Only"),…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Decision Making, Problem Solving
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Kochmar, Ekaterina; Vu, Dung Do; Belfer, Robert; Gupta, Varun; Serban, Iulian Vlad; Pineau, Joelle – International Journal of Artificial Intelligence in Education, 2022
Intelligent tutoring systems (ITS) have been shown to be highly effective at promoting learning as compared to other computer-based instructional approaches. However, many ITS rely heavily on expert design and hand-crafted rules. This makes them difficult to build and transfer across domains and limits their potential efficacy. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Automation, Feedback (Response), Dialogs (Language)
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Darvishi, Ali; Khosravi, Hassan; Sadiq, Shazia; Weber, Barbara – International Journal of Artificial Intelligence in Education, 2022
The use of neurophysiological measurements to advance the design, development, use, acceptance, influence and adaptivity of information systems is receiving increasing attention. Within the field of education, neurophysiological measurements have commonly been used to capture a learner's psychological constructs such as cognitive load, attention…
Descriptors: Neurology, Physiology, Measurement, Information Systems
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Ghosh, Krishnendu; Nangi, Sharmila Reddy; Kanchugantla, Yashasvi; Rayapati, Pavan Gopal; Bhowmick, Plaban Kumar; Goyal, Pawan – International Journal of Artificial Intelligence in Education, 2022
Video lectures are considered as one of the primary media to cater good-quality educational content to the learners. The video lectures illustrate the course-relevant concepts with necessary details. However, they sometimes fail to offer a basic understanding of off-topic concepts. Such off-topic concepts may spawn cognitive overload among the…
Descriptors: Video Technology, Concept Formation, Artificial Intelligence, Lecture Method
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Cody, Christa; Maniktala, Mehak; Lytle, Nicholas; Chi, Min; Barnes, Tiffany – International Journal of Artificial Intelligence in Education, 2022
Research has shown assistance can provide many benefits to novices lacking the mental models needed for problem solving in a new domain. However, varying approaches to assistance, such as subgoals and next-step hints, have been implemented with mixed results. Next-Step hints are common in data-driven tutors due to their straightforward generation…
Descriptors: Comparative Analysis, Prior Learning, Intelligent Tutoring Systems, Problem Solving
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Nawaz, Sadia; Srivastava, Namrata; Yu, Ji Hyun; Khan, Anam Ahmad; Kennedy, Gregor; Bailey, James; Baker, Ryan Shaun – International Journal of Artificial Intelligence in Education, 2022
Task difficulty (TD) reflects students' subjective judgement on the complexity of a task. We examine the TDs data of 236 undergraduate students in a simulation-based "Predict-Observe-Explain (POE)" environment using three different labels "easy," "medium" and "hard." Generally, the students who perceive the…
Descriptors: Difficulty Level, Undergraduate Students, Simulated Environment, Student Behavior
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