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Kiyici, Gülbin; Kahraman, Nurcan – Science Insights Education Frontiers, 2022
This study aims to analyze the reliability generalization of the computational thinking scale. There are five dimensions of computational thinking: creativity, algorithmic thinking, cooperativity, critical thinking, and problem-solving. A Bonett transformation was used to standardize the reliability coefficient of Cronbach's alpha. A…
Descriptors: Meta Analysis, Generalization, Computation, Thinking Skills
Can, Yusuf; Aksoy, Mehmet Akif; Aksoy, Esra; Narli, Serkan – Journal of Educational Technology and Online Learning, 2022
The number and variety of educational mathematics mobile applications (EMMAs) make it difficult to select mobile applications for mathematics learning and teaching. Therefore, in this study, multi-criteria decision-making (MCDM) techniques, which are effectively used in a wide variety of disciplines, were applied to choose among alternative…
Descriptors: Educational Technology, Computer Oriented Programs, Mathematics Education, Mathematical Applications
Singelmann, Lauren Nichole – ProQuest LLC, 2022
To meet the national and international call for creative and innovative engineers, many engineering departments and classrooms are striving to create more authentic learning spaces where students are actively engaging with design and innovation activities. For example, one model for teaching innovation is Innovation-Based Learning (IBL) where…
Descriptors: Engineering Education, Design, Educational Innovation, Models
Blanke, Tobias; Colavizza, Giovanni; van Hout, Zarah – Education for Information, 2023
The article presents an open educational resource (OER) to introduce humanities students to data analysis with Python. The article beings with positioning the OER within wider pedagogical debates in the digital humanities. The OER is built from our research encounters and committed to computational thinking rather than technicalities. Furthermore,…
Descriptors: Open Educational Resources, Data Analysis, Programming Languages, Humanities
Wang, Dongfang – International Journal of Web-Based Learning and Teaching Technologies, 2023
The goal is to promote the healthy and stable development of music education in China. The time-frequency sequence topology in frequency domain can improve the effect of convolution operation. Therefore, this paper applies the above algorithms to classical music education, including the recognition of classical instruments, the feature extraction…
Descriptors: Foreign Countries, Music Education, Classical Music, Musical Instruments
Liu, Yi; Xu, TianWei; Xiao, Mengjin – International Journal of Information and Communication Technology Education, 2023
In order to better grasp the needs of library users and provide them with more accurate knowledge services, combining the characteristics of university libraries, this article applies library small data to personalized recommendation and proposes a small data fusion algorithm model for library personalized recommendation. This model combines the…
Descriptors: Research Libraries, Data Collection, Data Analysis, Tables (Data)
Saxena, Nitin Kumar; Chauhan, Bhavesh Kumar; Gouri, Sonia; Kumar, Ashwani; Gupta, Anmol – IEEE Transactions on Education, 2023
Contribution: The proposed work carries out the training and testing of the available data through an artificial neural network and develops a model to allocate the subject for maximum outcome. The system also provides percentagewise correlation among all the possible subjects of best fit to allocate among the faculty members. Background: Data…
Descriptors: Knowledge Management, Artificial Intelligence, Higher Education, Information Technology
Asselman, Amal; Khaldi, Mohamed; Aammou, Souhaib – Interactive Learning Environments, 2023
Performance Factors Analysis (PFA) is considered one of the most important Knowledge Tracing (KT) approaches used for constructing adaptive educational hypermedia systems. It has shown a high prediction accuracy against many other KT approaches. While, the desire to estimate more accurately the student level leads researchers to enhance PFA by…
Descriptors: Algorithms, Artificial Intelligence, Factor Analysis, Student Behavior
Gonzalez, Fernando – Education and Information Technologies, 2023
The study of robotics has become a popular course among many educational programs, especially as a technical elective. A significant part of this course involves having the students learn how to program the movement of a robotic arm by controlling the velocity of its individual joint motors, a topic referred to as joint programming. They must…
Descriptors: Robotics, Educational Technology, Technology Uses in Education, Simulation
Xu, Tonghui – Journal of Educators Online, 2023
The early detection of students' academic performance or final grades helps instructors prepare their online courses. In the Open University Learning Analytics Dataset, I found many online students clicked the course materials before the first day of class. This study aims to investigate how data mining models can use this student interaction data…
Descriptors: College Students, Online Courses, Academic Achievement, Data Analysis
Jon Valant; Brigham Walker – National Center for Research on Education Access and Choice, 2023
Many U.S. cities with school choice programs have adopted unified enrollment systems to manage their application and placement processes centrally. Typically, these systems use placement algorithms to assign students to schools. These algorithms make placements based on families' rank-ordered requests, seat availability in schools, and various…
Descriptors: School Choice, Enrollment, Student Placement, Algorithms
Jon Valant; Brigham Walker – National Center for Research on Education Access and Choice, 2023
Many cities with school choice programs employ algorithms to make school placements. These algorithms use student priorities to determine which applicants get seats in oversubscribed schools. This study explores whether the New Orleans placement algorithm tends to favor students of certain races or socioeconomic classes. Specifically, we examine…
Descriptors: School Choice, Enrollment, Student Placement, Algorithms
Justin K. Dimmel; Izge Bayyurt – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
This commentary was written by ChatGPT, an artificial intelligence language model developed by OpenAI. It was conceived by the first author as a test for how the advent of predictive language modeling will create opportunities and challenges for researchers and teachers in mathematics education. The paper consists of a commentary that was written…
Descriptors: Artificial Intelligence, Mathematics Education, Educational Research, Educational Trends
Zachary Richards; Angela M. Kelly – Community College Review, 2025
Objective/Research Question: Community college graduation rates are typically quite low, and developmental mathematics enrollment and coursetaking patterns may constrain academic outcomes. To identify ways in which community college graduation rates may be improved, decision trees were utilized to examine the STEM coursetaking patterns of N =…
Descriptors: STEM Education, College Enrollment, Decision Making, Educational Attainment
Hyun-Bin Hwang – Language Learning, 2025
This study explored the effects of practice schedule on the processing of new second language (L2) vocabulary and resulting knowledge. Participants were 107 low-achieving adolescents attending a vocational high school in Korea. They were randomly assigned to one of three practice groups and completed a L2 English-L1 Korean paired-associates…
Descriptors: Low Achievement, Adolescents, Second Language Learning, Vocabulary Development