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Hu, Yang – ProQuest LLC, 2019
In this dissertation, the author presents two projects regarding teaching strategies that apply to an intelligent tutoring system (ITS). The author applied multiple-solution teaching methods to the ITSs. The first project is an ITS that aims to help college students learn how to use Computer-Aided-Design (CAD) software, FreeCAD ITS. The second…
Descriptors: Instructional Effectiveness, Intelligent Tutoring Systems, Teaching Methods, Computer Assisted Design
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Surubaru, Teodora; Isoc, Dorin – International Association for Development of the Information Society, 2019
The requirement to assure the teaching of critical thinking put the school in front of its own weaknesses. A profound criticism highlights limitations, hindrances and obstacles that are difficult to pass without the personal efforts of the teachers. Following criticism, one can identify a set of requirements that would allow for improvement and…
Descriptors: Critical Thinking, Teaching Methods, Barriers, Intervention
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Sindhu Chennupati; Maria Adelaida Restrepo; Arthur Glenberg; Erin Walker; Chris Blais; Ligia Gómez Franco – Language, Speech, and Hearing Services in Schools, 2025
Purpose: The Parent--Enhanced Moved by Reading to Accelerate Comprehension in English (Parent EMBRACE) program offers a bilingual parent-training literacy intervention for Latino families. Within the context of shared book reading, the application leverages both the home language and technology to increase parent question-asking during shared…
Descriptors: Hispanic Americans, Hispanic American Students, Parents as Teachers, Parent Attitudes
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Makhlouf, Jihed; Mine, Tsunenori – Journal of Educational Data Mining, 2020
In recent years, we have seen the continuous and rapid increase of job openings in Science, Technology, Engineering and Math (STEM)-related fields. Unfortunately, these positions are not met with an equal number of workers ready to fill them. Efforts are being made to find durable solutions for this phenomena, and they start by encouraging young…
Descriptors: Learning Analytics, STEM Education, Science Careers, Career Choice
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Šaric-Grgic, Ines; Grubišic, Ani; Šeric, Ljiljana; Robinson, Timothy J. – International Journal of Distance Education Technologies, 2020
The idea of clustering students according to their online learning behavior has the potential of providing more adaptive scaffolding by the intelligent tutoring system itself or by a human teacher. With the aim of identifying student groups who would benefit from the same intervention in AC-ware Tutor, this research examined online learning…
Descriptors: Learning Analytics, Intelligent Tutoring Systems, Grouping (Instructional Purposes), Undergraduate Students
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Tunjera, Nyarai; Chigona, Agnes – International Journal of Information and Communication Technology Education, 2020
The study examined how teacher educators are appropriating technological, pedagogical, and content knowledge (TPACK) and substitution, augmentation, modification, redefinition (SAMR) frameworks in their pre-service teacher preparation programmes. To ensure rigor, quality, and preparedness of pre-service teachers, there is a need to articulate…
Descriptors: Teacher Educators, Technological Literacy, Pedagogical Content Knowledge, Models
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Mao, Ye; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2020
Modeling student learning processes is highly complex since it is influenced by many factors such as motivation and learning habits. The high volume of features and tools provided by computer-based learning environments confounds the task of tracking student knowledge even further. Deep Learning models such as Long-Short Term Memory (LSTMs) and…
Descriptors: Time, Models, Artificial Intelligence, Bayesian Statistics
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Dawar, Deepak – Information Systems Education Journal, 2022
Learning computer programming is a challenging task for most beginners. Demotivation and learned helplessness are pretty common. A novel instructional technique that leverages the value-expectancy motivational model of student learning was conceptualized by the author to counter the lack of motivation in the introductory class. The result was a…
Descriptors: Teaching Methods, Introductory Courses, Computer Science Education, Assignments
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de Morais, Felipe; Jaques, Patricia A. – Informatics in Education, 2022
Intelligent Tutoring Systems (ITSs) for Math still use traditional data input methods: computers' keyboard and mouse. However, students usually solve math tasks using paper and pen. Therefore, the gap between the manner the students work and the requirements imposed by these typing-based systems expose students to an extraneous cognitive load,…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Educational Technology, Technology Uses in Education
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Burkhard, Michael; Seufert, Sabine; Cetto, Matthias; Handschuh, Siegfried – International Association for Development of the Information Society, 2022
Educational chatbots promise many benefits for teaching and learning. Although chatbot use cases in this research field are rapidly growing, most studies focus on individual users rather than on collaborative group settings. To address this issue, this paper investigates how chatbot-mediated learning can be designed to foster middle school…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Web Based Instruction
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Elvina, Elvina; Karnalim, Oscar; Ayub, Mewati; Wijanto, Maresha Caroline – Journal of Technology and Science Education, 2018
Numerous Program Visualization tools (PVs) have been developed for assisting novice students to understand their source code further. However, none of them are practical to be used in the context of completing programming laboratory task; students are required to keep switching between PV and programming workspace since PV's features are…
Descriptors: Visualization, Programming, Computer Science Education, Intelligent Tutoring Systems
Crowley, Kimberly – ProQuest LLC, 2018
Declining mathematics scores are forcing school administrators to look for nontraditional ways to educate students. Adaptive learning systems have been implemented in schools with the purpose of providing personalized learning opportunities for students. The purpose of this experimental study was to investigate the effect of adaptive supplemental…
Descriptors: Mathematics Achievement, Individualized Instruction, Urban Schools, Elementary School Students
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Mousavinasab, Elham; Zarifsanaiey, Nahid; R. Niakan Kalhori, Sharareh; Rakhshan, Mahnaz; Keikha, Leila; Ghazi Saeedi, Marjan – Interactive Learning Environments, 2021
With the rapid growth of technology, computer learning has become increasingly integrated with artificial intelligence techniques in order to develop more personalized educational systems. These systems are known as Intelligent Tutoring systems (ITSs). This paper focused on the variant characteristics of ITSs developed across different educational…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Individualized Instruction, Web Based Instruction
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Sun, Shuyan; Else-Quest, Nicole M.; Hodges, Linda C.; French, Allison M.; Dowling, Rebecca – Investigations in Mathematics Learning, 2021
As remote learning technologies play an increasingly larger role in education, clear evidence of effectiveness is needed for widely used online learning technologies, such as Assessment and LEarning in Knowledge Spaces (ALEKS). By adapting to individual students' knowledge states and personalizing interactive practice and feedback, ALEKS may…
Descriptors: Teaching Methods, Elementary School Mathematics, Secondary School Mathematics, College Mathematics
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Ballantyne, Derek; Livingston, Candice; Garraway, James – Africa Education Review, 2021
The purpose of this study was to examine pre-service teachers' perceptions of their use of an intelligent tutoring system (ITS) as an English language proficiency tool. Pre-service teachers' perceptions were analysed using Engeström's second-generation cultural-historical activity theory (CHAT). A qualitative interpretivist paradigm was used. Six…
Descriptors: Preservice Teachers, Technology Uses in Education, Intelligent Tutoring Systems, English (Second Language)
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