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Gelmez, Koray; Arkan, Selin – International Journal of Technology and Design Education, 2022
As the literature points out the lack of efficient use of Computer-Aided Design (CAD) in design curricula, we aimed to align a CAD course based on student-centered learning theories. While designating a constructively aligned CAD course, the intended learning outcomes were specified in relation to the knowledge types classified for the CAD…
Descriptors: Computer Assisted Design, Alignment (Education), Student Centered Learning, Learning Activities
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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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Rebolledo-Mendez, Genaro; Huerta-Pacheco, N. Sofia; Baker, Ryan S.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2022
Many previous studies have highlighted the influence of learners' affective states on learning with tutoring systems. However, the associations between learning and learners' meta-affective capability are still unclear. The goal of this paper is to analyse meta-affective capability and its influence on learning outcomes as well as the dynamics of…
Descriptors: Affective Behavior, Intelligent Tutoring Systems, Mathematics Education, Secondary School Students
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Barnard, Peter Alexander – International Journal of Educational Management, 2022
Purpose: The purpose of this paper is threefold: first, to explain the link between traditional same-age school structure and the impact this has on a school's capacity for individual and organisational learning; second, to explain why attempts to develop schools as learning organisations (LOs) invariably reify existing structures and practice,…
Descriptors: Educational Development, Secondary Schools, Organizational Learning, Tutoring
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Dutt, Sarthika; Ahuja, Neelu Jyothi; Kumar, Manoj – Education and Information Technologies, 2022
Several studies have investigated the need for learning difficulties identification specifically Dyslexia, Dysgraphia and Dyscalculia. The identification of these difficulties among children is a multiple screening process under psychologist's supervision. Learning difficulties identification is a difficult task; it affects the learning process…
Descriptors: Intelligent Tutoring Systems, Special Education, Learning Disabilities, Students with Disabilities
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Jo, Hyunmyung – Cambridge Journal of Education, 2022
Despite the growing importance of shadow education, literature on middle-class parental involvement has focused on the significance of family-school partnerships, and has neglected to examine the influence of parental involvement in terms of shadow education. Drawing on narratives of middle-class Korean mothers, this study explores their…
Descriptors: Parent Participation, Mothers, Social Networks, Middle Class
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Watts, Darren W.; Cushion, Christopher J.; Cale, Lorraine – Sport, Education and Society, 2022
Coach educators' voices rarely feature in the coaching literature. To address this gap, this research explored the journeys and perceptions and understandings of learning of 16 coach educators (tutors) in the United Kingdom (UK). As such, the research enabled the voices of these coach educators to be heard and their socialisation processes to be…
Descriptors: Athletic Coaches, Athletics, Physical Education, Physical Education Teachers
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Nguyen, Hanh thi; Choe, Ann Tai; Vicentini, Cristiane – Classroom Discourse, 2022
To inform pedagogical decisions about using technology, it is important to understand from the ground up how technology is utilised during language learning activities. This paper takes an ethnomethodological conversation analytic approach to examine a learner's participation in epistemic management actions and its consequences for second language…
Descriptors: Second Language Learning, Online Searching, Intelligent Tutoring Systems, Videoconferencing
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Schmucker, Robin; Wang, Jingbo; Hu, Shijia; Mitchell, Tom M. – Journal of Educational Data Mining, 2022
We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…
Descriptors: Academic Achievement, Electronic Learning, Artificial Intelligence, Predictor Variables
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Shakya, Anup; Rus, Vasile; Venugopal, Deepak – International Educational Data Mining Society, 2023
Understanding a student's problem-solving strategy can have a significant impact on effective math learning using Intelligent Tutoring Systems (ITSs) and Adaptive Instructional Systems (AISs). For instance, the ITS/AIS can better personalize itself to correct specific misconceptions that are indicated by incorrect strategies, specific problems can…
Descriptors: Equal Education, Mathematics Education, Word Problems (Mathematics), Problem Solving
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Vassoyan, Jean; Vie, Jill-Jênn – International Educational Data Mining Society, 2023
Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…
Descriptors: Reinforcement, Networks, Simulation, Educational Technology
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DeFeo, Dayna Jean; Mammo, Behailu; Tran, Trang C. – Teacher Educator, 2023
In this single case study, we explore how four preservice math teachers developed their self-efficacy through a peer tutoring experience in a college math lab. Using pre- post self-efficacy assessments, faculty observations, researcher observations, faculty interviews, and interviews with the preservice teachers themselves, our analysis describes…
Descriptors: Preservice Teachers, Preservice Teacher Education, Mathematics Teachers, Self Efficacy
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Caspari-Sadeghi, Sima – Journal of Educational Technology Systems, 2023
Intelligent assessment, the core of any AI-based educational technology, is defined as embedded, stealth and ubiquitous assessment which uses intelligent techniques to diagnose the current cognitive level, monitor dynamic progress, predict success and update students' profiling continuously. It also uses various technologies, such as learning…
Descriptors: Artificial Intelligence, Educational Technology, Computer Assisted Testing, Barriers
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Xu, Xiaoqiu; Dugdale, Deborah M.; Wei, Xin; Mi, Wenjuan – American Journal of Distance Education, 2023
The recent surge of online language learning services in the past decade has benefitted second language learners. However, there is a lack of understanding of whether learners, especially young learners, are engaged in online learning, and how educators can enhance the engagement of the online learning experience. This study examines an artificial…
Descriptors: Artificial Intelligence, Prediction, Electronic Learning, Learner Engagement
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Osgood, Libby; MacIntyre, Rebecca; Pollard-Feehan, Erin – Advances in Engineering Education, 2023
An Engineering Success Centre was formed with the long-term goals of providing targeted first-year support, increasing retention, and developing leaders. The novelty of the Centre is that the priorities and activities were defined by the students that were employed to run it in a shared leadership model. Student leaders were in various years of…
Descriptors: Engineering Education, School Holding Power, Academic Support Services, Student Leadership
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