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Download full textMohammed Muneerali Thottoli; Badria Hamed Alruqaishi; Arockiasamy Soosaimanickam – Contemporary Educational Technology, 2024
Purpose: Chatbots and artificial intelligence (AI) have the potential to alleviate some of the challenges faced by humans. Faculties frequently swamped with teaching and research may find it difficult to act in a parental role for students by offering them individualized advice. Hence, the primary purpose of this study is to review the literature…
Descriptors: Academic Advising, Artificial Intelligence, Technology Uses in Education, Role
Direct linkAleksandra Kostic-Ljubisavljevic; Andreja Samcovic – Education and Information Technologies, 2024
This paper reports on how the concept and technologies of GIS are included in the telecommunications engineering curriculum at the undergraduate level. The course of Fundamentals of GIS is described in detail. The usage of GIS software is necessary part of GIS technology education. In order to evaluate available GIS software, several criteria are…
Descriptors: Geographic Information Systems, Computer Software Selection, Computer Uses in Education, Telecommunications
Shifeng Liu; Florence T. Bourgeois; Claire Narang; Adam G. Dunn – Research Synthesis Methods, 2024
Searching for trials is a key task in systematic reviews and a focus of automation. Previous approaches required knowing examples of relevant trials in advance, and most methods are focused on published trial articles. To complement existing tools, we compared methods for finding relevant trial registrations given a International Prospective…
Descriptors: Artificial Intelligence, Medical Research, Experimental Groups, Control Groups
Mortaza Jamshidian; Parsa Jamshidian – Journal of Statistics and Data Science Education, 2024
Using software to teach statistical inference in introductory courses opens the door for methods and practices that are more conceptually appealing to students. With an increasing number of fields requiring competency in statistics including data science, natural and social sciences, public health and more, it is crucial that we as instructors…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Statistics Education
Ainsley Miller; Kate Pyper – Journal of Statistics and Data Science Education, 2024
R is becoming the standard for teaching statistics due to its flexibility, and open-source nature, replacing software programs like Minitab and SPSS. The main driver for reform within Scottish statistical undergraduate programs is the creation of the Scottish Qualification Authority's Higher Applications of Mathematics course which has statistics…
Descriptors: College Freshmen, Undergraduate Study, Anxiety, Programming Languages
Soha Rawas – Education and Information Technologies, 2024
Artificial intelligence (AI) technologies have the potential to completely transform how we teach and learn in higher education. ChatGPT, a language model developed by OpenAI, is one such tool that can deliver individualized recommendations to students, increase collaboration and communication, and improve student learning results. However, there…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Teaching Methods
Muhammed Murat Gümüs; Volkan Kukul; Özgen Korkmaz – Informatics in Education, 2024
This study aims to explain the relationships between secondary school students' digital literacy, computer programming self-efficacy and computational thinking self-efficacy. The study group consists of 204 secondary school students. A relational survey model was used in the research method and three different data collection tools were used to…
Descriptors: Correlation, Middle School Students, Thinking Skills, Digital Literacy
Mia Carapina; Klaudio Pap – International Association for Development of the Information Society, 2024
This paper introduces CoCo, a system designed to support and encourage collaborative learning among colocated students sharing a single mobile device. It provides teachers with the possibility to create digital lessons, configure parameters for collaborative activities such as the number of students and tablets, and monitor students' progress. On…
Descriptors: Cooperative Learning, Handheld Devices, Teaching Methods, Learning Management Systems
Hui Han; Silvana Trimi – Education and Information Technologies, 2024
Cloud computing-based online education has played a vital role in enabling uninterrupted learning during crises such as the COVID-19 pandemic. This study explored the key variables associated with cloud computing that can effectively support the operation of online education platforms. By analyzing real data from 63 online learning platforms, the…
Descriptors: Computer Software, Learning Management Systems, Online Courses, Correlation
Alaa Althubaiti; Suha M. Althubaiti – SAGE Open, 2024
The flipped classroom (FC) is a pedagogical model with an active learning concept and a hybrid course design that reverses the typical lecture process. Given the widespread use of online delivery methods, there is a need to explore the FC in delivering statistics courses. This study employs a prospective quasi-experimental study design to evaluate…
Descriptors: Flipped Classroom, Statistics Education, Data Analysis, Computer Software
Chung Kwan Lo; Philip Leung Ho Yu; Simin Xu; Davy Tsz Kit Ng; Morris Siu-yung Jong – Smart Learning Environments, 2024
ChatGPT, a sophisticated artificial intelligence (AI) chatbot capable of providing personalised responses to users' inquiries, recently has had a substantial impact on education. Many studies have explored the use of ChatGPT in English as a second language (ESL) and English as a foreign language (EFL) education since its release on 30 November…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
Michael Gusenbauer – Research Synthesis Methods, 2024
Citation indices providing information on backward citation (BWC) and forward citation (FWC) links are essential for literature discovery, bibliographic analysis, and knowledge synthesis, especially when language barriers impede document identification. However, the suitability of citation indices varies. While some have been analyzed, the…
Descriptors: Citation Indexes, Information Retrieval, Databases, Web Sites
Christopher Cleveland; Jessica Markham – Annenberg Institute for School Reform at Brown University, 2024
Students with disabilities represent 15% of U.S. public school students. Individualized Education Programs (IEPs) inform how students with disabilities experience education. Very little is known about the aspects of IEPs as they are historically paper-based forms. In this study, we develop a coding taxonomy to categorize IEP goals into 10 subjects…
Descriptors: Individualized Education Programs, Special Needs Students, Special Education, Taxonomy
Mads Paludan Goddiksen; Mikkel Willum Johansen; Anna Catharina Vieira Armond; Mateja Centa; Christine Clavien; Eugenijus Gefenas; Nóra Kovács; Marcus Tang Merit; I. Anna S. Olsson; Margarita Poškute; Júlio Borlido Santos; Rita Santos; Vojko Strahovnik; Orsolya Varga; P. J. Wall; Peter Sandøe; Thomas Bøker Lund – International Journal for Educational Integrity, 2024
Text-matching software (TMS) is a standard part of efforts to prevent and detect plagiarism in upper secondary and higher education. While there are many studies on the potential benefits of using this technology, few studies look into potential unintended side effects. These side effects include students worrying about being accused of plagiarism…
Descriptors: Computer Software, Secondary School Students, Bachelors Degrees, Undergraduate Students
Hongwen Guo; Matthew S. Johnson; Kadriye Ercikan; Luis Saldivia; Michelle Worthington – Journal of Learning Analytics, 2024
Large-scale assessments play a key role in education: educators and stakeholders need to know what students know and can do, so that they can be prepared for education policies and interventions in teaching and learning. However, a score from the assessment may not be enough--educators need to know why students got low scores, how students engaged…
Descriptors: Artificial Intelligence, Learning Analytics, Learning Management Systems, Measurement
