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Ochieng, Dunlop – Journal of Learning and Teaching in Digital Age, 2019
Education sector has embraced and increasingly use digital technologies to address its longstanding challenges. However, considering that every technology has its limitations, I evaluated the progress of citation and reference technologies in solving the chronic problem of plagiarism in academic writing. In this pursuit, I confirmed with several…
Descriptors: Educational Technology, Citations (References), Plagiarism, Error Patterns
Goncalves, Alem-Mar B.; Freitas, Welica P. S.; Reis, Diogo D.; Cena, Cicero R.; Alves, Diego C. B.; Bozano, Doroteia F. – Physics Teacher, 2019
The popularization of microcontrollers like Arduino bring new possibilities of experiments for physics laboratories. For instance, load cell sensors have been used in experiments on impulse and buoyancy. Here we propose an experimental apparatus using Arduino connected to a load cell to measure surface tension by the du Noüy method (or ring…
Descriptors: Physics, Science Instruction, Science Laboratories, Science Experiments
Hofmann, Andreas; Cross, Megan; Karow, Malte A.; Straub, Jan H.; Clemen, Christoph S.; Eichinger, Ludwig – Biochemistry and Molecular Biology Education, 2019
The Java software jBar consists of a graphical user interface that allows the user to customize and assemble an included script for R. The scripted R pipeline calculates means and standard errors/deviations for replicates of numerical bivariate data and generates presentations in the form of bar graphs. A two-sided Student's t test is carried out…
Descriptors: Data Analysis, Graphs, Computer Software, Computer Uses in Education
Software Review of IRTEQ, STUIRT, and POLYEQUATE for Item Response Theory Scale Linking and Equating
Malatesta, Jaime; Lee, Won-Chan – Measurement: Interdisciplinary Research and Perspectives, 2019
This article reviews several software programs designed to conduct item response theory (IRT) scale linking and equating. The programs reviewed include IRTEQ, STUIRT, and POLYEQUATE. Features and functionalities of each program are discussed and an example analysis using the common-item non-equivalent groups design in IRTEQ is provided.
Descriptors: Item Response Theory, Equated Scores, Computer Software, Computer Interfaces
Teker, Gülsen Tasdelen – International Journal of Assessment Tools in Education, 2019
The aim of this paper is to introduce a software that is appropriate for the generalizability theory for not only balanced but also unbalanced data sets. Because it is possible to have unbalanced data sets while conducting a study, the researchers have devised an easy solution, other than deleting data, to balance the design to cope with this…
Descriptors: Generalizability Theory, Research Design, Computer Software, Data
Acar, Tülin – International Journal of Assessment Tools in Education, 2019
The purpose of this study was to write programs to define sampling sizes and observation units by probability sampling methods and to provide an idea for software developers. The algorithms of the programs were written in Python 3. The programs may be run by double-clicking on the Windows operating system or by the command prompt of the DOS…
Descriptors: Sample Size, Computer Software, Probability, Statistical Analysis
Nedyalkova, Anna; Bakardjieva, Teodora; Nedyalkov, Krasimir – International Association for Development of the Information Society, 2019
The role of Knowledge Management (KM) in the educational institutions is of great importance and the main function of educational organizations is the KM. KM includes the process of capturing, creating, disseminating and applying all forms of knowledge within an organization in order to fulfill institutional goals. The use of the KM solutions and…
Descriptors: Foreign Countries, Knowledge Management, Universities, Computer Software
Xu, Yinuo; Pardos, Zachary A. – International Educational Data Mining Society, 2023
In studies that generate course recommendations based on similarity, the typical enrollment data used for model training consists only of one record per student-course pair. In this study, we explore and quantify the additional signal present in course transaction data, which includes a more granular account of student administrative interactions…
Descriptors: Semantics, Enrollment Trends, Learning Analytics, STEM Education
Kuvar, Vishal; Flynn, Lauren; Allen, Laura; Mills, Caitlin – International Educational Data Mining Society, 2023
Computer-mediated social learning contexts have become increasingly popular over the last few years; yet existing models of students' cognitive-affective states have been slower to adopt dyadic interaction data for predictions. Here, we explore the possibility of capitalizing on the inherently social component of collaborative learning by using…
Descriptors: Computer Mediated Communication, Trust (Psychology), Socialization, Keyboarding (Data Entry)
Kumar, Amruth N. – International Educational Data Mining Society, 2023
Is there a pattern in how students solve Parsons puzzles? Is there a difference between the puzzle-solving strategies of C++ and Java students? We used Markov transition matrix to answer these questions. We analyzed the solutions of introductory programming students solving Parsons puzzles involving if-else statements and while loops in C++ and…
Descriptors: Markov Processes, Puzzles, Introductory Courses, Computer Science Education
Bang, Hee Jin; Li, Linlin; Flynn, Kylie – Early Childhood Education Journal, 2023
This study investigates whether using My Math Academy, which provides personalized content and adaptive embedded assessments to support existing curricula, can improve learning outcomes and engagement for kindergarten and first grade students (N = 505 treatment, 481 control). Findings indicate that students using My Math Academy made significant…
Descriptors: Mathematics Instruction, Computer Software, Learning Motivation, Learner Engagement
Crossley, Scott; Wan, Qian; Allen, Laura; McNamara, Danielle – Reading and Writing: An Interdisciplinary Journal, 2023
Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing in terms of both cognitive and task demands because it requires writers to integrate information across source materials. However, little is…
Descriptors: Writing Skills, Cognitive Processes, Essays, Cues
Iskrenovic-Momcilovic, Olivera – Interactive Learning Environments, 2023
The aim of the research is to examine the contribution of mobile application using in botanical fieldwork to the quality and durability of knowledge of the subject Nature and society compared to multimedia teaching in the fourth grade of primary school. The study involved 120 students, divided into two groups: control group, which taught on the…
Descriptors: Elementary School Students, Control Groups, Grade 4, Handheld Devices
Conijn, Rianne; Kahr, Patricia; Snijders, Chris – Journal of Learning Analytics, 2023
Ethical considerations, including transparency, play an important role when using artificial intelligence (AI) in education. Explainable AI has been coined as a solution to provide more insight into the inner workings of AI algorithms. However, carefully designed user studies on how to design explanations for AI in education are still limited. The…
Descriptors: Ethics, Writing Evaluation, Artificial Intelligence, Essays
Frydenberg, Mark – Information Systems Education Journal, 2023
The Internet of Things (IoT) is a network of objects that can exchange data with other devices also connected to the Internet. One of the most common consumer examples of IoT is home automation, as a variety of smart devices, including doorbells, lightbulbs, thermostats, and refrigerators are now available which users can control remotely using…
Descriptors: Internet, Computer Software, Automation, Information Technology

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