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Hanchen David Wang; Siwoo Bae; Xutong Sun; Yashvitha Thatigotla; Meiyi Ma – Grantee Submission, 2025
Wearable sensor technology has significantly enhanced healthcare quality, including physical therapy. However, due to the design of current deep learning models, existing works often ignore the unique variations of rest intervals between repetitions and variations in individual user progress, potentially hindering effective therapy outcomes. To…
Descriptors: Physical Therapy, Exercise, Artificial Intelligence, Measurement Equipment
Scott Cameron; Carmel Mesiti; Paul Fijn – Mathematics Education Research Group of Australasia, 2025
Generative Artificial Intelligence (GenAI) chatbots provide teachers with opportunities to enhance their expertise by exploring topics relevant to their practice. However, studies have raised concerns about ChatGPT's mathematical accuracy. This pilot study evaluated ChatGPT's Pedagogical Content Knowledge (PCK) and Content Knowledge (CK),…
Descriptors: Artificial Intelligence, Pedagogical Content Knowledge, Mathematics Education, Computer Uses in Education
Joshua Bumanlag; Adrian Angelo Abelarde – International Society for Technology, Education, and Science, 2024
This paper presents an improved Distributed Genetic Algorithm (DGA) that surpasses the classic genetic algorithm (GA) in terms of both efficiency and effectiveness when it comes to optimizing faculty scheduling systems. The proposed Differential Evolution Genetic Algorithm (DGA) combines DE with chaotic mapping and asynchronous communication to…
Descriptors: Algorithms, Faculty Workload, School Schedules, Computer Uses in Education
Denis Shchepakin; Sreecharan Sankaranarayanan; Dawn Zimmaro – International Educational Data Mining Society, 2024
Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery for a knowledge component. The learner's state is a "hidden" binary variable updated based on the correctness of the learner's responses to questions corresponding to that knowledge component. The parameters used for this update are inferred/learned…
Descriptors: Algorithms, Bayesian Statistics, Probability, Artificial Intelligence
Achinewhu, Chinuru – Bulgarian Comparative Education Society, 2023
Technological revolution has continued to permeate all aspects of society. Its roles and impacts cannot therefore be overemphasized. Nevertheless, the roles of technology in law practice and law education in Nigeria have not received considerate research attention. The aim of this paper is to fill this gap by examining law practice and education…
Descriptors: Foreign Countries, Educational Technology, Computer Use, Laws
Shuguang Wang; Le Qin; Qian Yu – AERA Online Paper Repository, 2024
ChatGPT, a generative, pre-trained transformer gained great attention in various fields, Education included. The authors feel the need to investigate the views of practitioners and researchers regarding this issue. Using the systematic review as the structure of research method, the authors created their criteria, and got 65 papers after applying…
Descriptors: Artificial Intelligence, Metacognition, Plagiarism, Teaching Methods
Hansen, Nils Kristian; Hadjerrouit, Said – International Association for Development of the Information Society, 2023
This paper aims at using a Use-Modify-Create approach to explore students' mathematical problem solving by means of computational thinking (CT) and programming activities. The data collection method is participant observation, in which the researcher also has the role as teacher, guiding the group activities. In our study, two groups of students…
Descriptors: Problem Solving, Computation, Thinking Skills, Programming
Mustafa Koc; Asir Ayvali – International Society for Technology, Education, and Science, 2023
Although computers have many benefits for people, long-term continuous and non-ergonomic usage may lead to a number of health problems, especially vision and posture disorders. Therefore, it is crucial for students to learn and implement ergonomic usage principals. Perhaps, university students are the most at risk users as their access to computer…
Descriptors: College Students, Human Factors Engineering, Computer Use, Knowledge Level
Jyoti Shaha; Vishwas Badhe; Ramkumar Rajendran – International Association for Development of the Information Society, 2024
Metacognitive strategies play a crucial role in Computer-Based Learning Environments (CBLEs). However, students often struggle to apply these strategies spontaneously during learning. Research demonstrates that metacognitive prompts can effectively guide students' awareness and help them monitor their learning progress, leading to improved…
Descriptors: Metacognition, Electronic Equipment, Problem Solving, Computer Uses in Education
Adriana Castro Camelo; Marisol Esperanza Cipagauta Moyano – International Society for Technology, Education, and Science, 2024
The incursion of Information and Communications Technologies (ICT) into learning environments is becoming increasingly important, since they have become allies in the teaching, learning and evaluation process. Its possibilities of contributing to more dynamic, flexible, and innovative learning allow the academy to strengthen both: teachers and…
Descriptors: Foreign Countries, Computer Uses in Education, Educational Research, Graduate Students
Javier Vásquez-Monteros; Yasmany García-Ramírez – International Society for Technology, Education, and Science, 2024
This study investigates the integration of AI tools, ChatGPT 3.5 and Bard (now Gemini), in the education of civil engineering students specializing in pavement design. Two groups, totaling sixty-eight undergraduate students (Group A=28, Group B=40), enrolled in the Pavement Design course at UTPL from October 2023 to February 2024, participated.…
Descriptors: Civil Engineering, Engineering Education, Artificial Intelligence, Technology Integration
Nicolai Plintz; Dirk Ifenthaler – International Association for Development of the Information Society, 2024
This study aims to develop a preliminary model for the content validation of serious games, specifically to assess two cybersecurity games designed for children aged 8-13 years as part of the Erasmus+ project "SuperCyberKids". Using a scoping review of databases from pedagogy, psychology, and computer science, we identified current…
Descriptors: Computer Security, Educational Games, Computer Uses in Education, Game Based Learning
Tianyuan Yang; Baofeng Ren; Chenghao Gu; Boxuan Ma; Shin 'ichi Konomi – International Association for Development of the Information Society, 2024
As education increasingly shifts towards a technology-driven model, artificial intelligence systems like ChatGPT are gaining recognition for their potential to enhance educational support. In university education and MOOC environments, students often select courses that align with their specific needs. During this process, access to information…
Descriptors: Concept Formation, Artificial Intelligence, Computer Uses in Education, MOOCs
Wenhao Wang; Etsuko Kumamoto; Chengjiu Yin – International Educational Data Mining Society, 2024
The e-book system, widely used in learning and teaching, has generated a large amount of log data over time. Researchers analyzing these data have discovered the existence of student's jump back behavior, which is positively correlated with academic achievement. However, they also found that this behavior has the disadvantage of low efficiency. To…
Descriptors: Electronic Books, Natural Language Processing, Artificial Intelligence, Reading
Kaden Hart; Christopher M. Warren; Seth Poulsen; John Edwards – International Educational Data Mining Society, 2024
We report on a study in which we examined the work habits of six students who agreed to use do not disturb on their phone while working on programming assignments. Two students tried do not disturb, and quickly quit using it. Three out of four remaining student participants were more productive while using do not disturb when working on their…
Descriptors: Telecommunications, Handheld Devices, Computer Use, Student Behavior

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