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Rishwinder Singh Baidwan; Radhika; Rakesh Kumar – Journal of Educational Technology, 2024
Artificial intelligence technology has become widely used in many industries, including healthcare, agriculture, banking, social security, and home furnishings, due to the rise and development of this discipline. One of the newest areas of technology in the education industry is AI in Education, where extensive research supports instructional…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Models
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Kim, Minjung; Hsu, Hsien-Yuan – Journal of Educational and Behavioral Statistics, 2019
Given the natural hierarchical structure in school-setting data, multilevel modeling (MLM) has been widely employed in education research using a number of different statistical software packages. The purpose of this article is to review a recent feature of Stat-JR, the statistical analysis assistants (SAAs) embedded in Stat-JR (Version 1.0.5),…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Computer Software, Computer Software Evaluation
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Florence Gabriel; JohnPaul Kennedy; Rebecca Marrone; Simon Leonard – npj Science of Learning, 2025
Pragmatic, scalable and sustainable responses to persistent socio-emotional issues such as mathematics anxiety remain elusive. Artificial intelligence (AI) offers a promising approach by enhancing students' perceptions of competence, control, and value while transforming teacher-student interactions. This paper advocates for a research agenda…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study examines the impacts of AI-powered personalized education on student achievement and future perspectives. Personalized education refers to teaching methods tailored to the individual needs and learning paces of students, made more effective by the opportunities offered by AI. AI technologies transform educational processes such as…
Descriptors: Artificial Intelligence, Computer Software, Individualized Instruction, Privacy
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Gupta, Chetna – IEEE Transactions on Education, 2022
Contribution: This article demonstrates the impact of today's Information and Communication Technologies (ICT) in teaching software engineering (SE) course with design-based learning (DBL) and project-based learning (PBL). The results show a positive influence of integration of DBL and PBL in reducing industry gaps with improved student…
Descriptors: Computer Software, Computer Science Education, Information Technology, Active Learning
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Khan, Md Akib Zabed; Polyzou, Agoritsa – International Educational Data Mining Society, 2023
Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…
Descriptors: Course Selection (Students), Learning Analytics, Academic Advising, Decision Making
Fullerton, Jon – American Enterprise Institute, 2021
Over the past two decades, education underwent a "big data" revolution as states began tracking individual student performance and interim assessments and educational software allowed for a greater granularity of data on students, teachers, and schools. Despite this plethora of new data, considerable gaps in data on early childhood…
Descriptors: Academic Achievement, Learning Analytics, Computer Software, Educational Policy
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Panagiotis Panagiotidis – European Journal of Education (EJED), 2022
New technological developments, such as 5G networks, smart and interconnected devices, and the development of the Internet of Things (IoT), lead to a new reality in which the secure flow of data is non-negotiable. In this new reality, blockchain technology can play a crucial role, as it has the ability to provide the necessary background for the…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
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Norris, Mark – Research in Higher Education Journal, 2019
The delivery of online university courses has continued to grow for more than a decade. New advances in technology have made the efficient delivery of courses possible, as well as increasing the collections of tools for students to cheat. Cheating results in the atrophy of the student's academic integrity, it has the potential to damage a…
Descriptors: Cheating, Online Courses, Integrity, College Students
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Giacaman, Nasser; De Ruvo, Giuseppe – IEEE Transactions on Education, 2018
Contribution: Active classroom programmer (ACP) is a software tool that places minimal pressure on resources, and is shown to help improve student learning while also encouraging a high degree of engagement both during and outside of programming lectures. Background: Programming is difficult for students, largely due to the myriad of…
Descriptors: Theory Practice Relationship, Programming, Computer Science Education, Computer Software
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Ezeh, Chioma – Teaching English with Technology, 2020
The need for multimodality in meaning-making and knowledge representation is critical in this contemporary time when teachers are faced with not only diversity in classrooms but also a great number of technological tools to choose from. Digital storytelling implies creating stories with multimodal tools including text, images, audio and videos. As…
Descriptors: Story Telling, Multilingualism, Teaching Methods, Student Diversity
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Henry, Philip – College and University, 2019
Phillip Henry is a semi-retired former U.K. Registrar and Secretary with almost 40 years' experience in higher education. He has been active in staff development in the United Kingdom (Association of University Administrators, Academic Registrars Council, and Association of Heads of University Administration), in the United States (AACRAO and a…
Descriptors: Academic Achievement, Administrator Attitudes, Educational Experience, College Students
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Blaney, Jennifer; Filer, Kimberly; Lyon, Julie – Research & Practice in Assessment, 2014
Critical reflection allows students to synthesize their learning and deepen their understanding of an experience (Ash & Clayton, 2009). A recommended reflection method is for students to write essays about their experiences. However, on a large scale, such reflection essays become difficult to analyze in a meaningful way. At Roanoke College,…
Descriptors: College Students, Computer Software, Academic Achievement, Outcomes of Education
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Dew, Robert; Goscinski, Andrzej; Coldwell-Neilson, Jo – Education and Information Technologies, 2016
Although Australian students spend three or more years studying they can seem quite unaware of any of the expected learning outcomes of their course. They are often single unit focused, paying most attention to individual assessment items thus not developing a holistic view of their course. This paper presents a theoretical framework to support…
Descriptors: Models, Outcomes of Education, Foreign Countries, Case Studies
Utah State Board of Education, 2017
The Utah state legislature established the Early Intervention Software Program ("EISP") to aid in the development of Utah students' literacy skills through computer-based, adaptive reading software programs designed to meet students' unique learning needs. The Evaluation and Training Institute (ETI) conducts an annual evaluation of how…
Descriptors: Computer Software, Literacy, Computer Assisted Instruction, Program Evaluation
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