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Demir, Metin – Educational Sciences: Theory and Practice, 2015
This study predicts the number of correct answers given by pre-service classroom teachers in Civil Servant Recruitment Examination's (CSRE) educational sciences test based on their high school grade point averages, university entrance scores, and grades (mid-term and final exams) from their undergraduate educational courses. This study was…
Descriptors: Preservice Teachers, Scores, Artificial Intelligence, Grade Point Average
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Chutiporn Anutariya Ed.; Dejian Liu Ed.; Kinshuk Ed.; Ahmed Tlili Ed.; Junfeng Yang Ed.; Maiga Chang Ed. – Lecture Notes in Educational Technology, 2023
This book collects the proceedings of the 7th International Conference on Smart Learning Environments (ICSLE2023), held in Bangkok, Thailand, as a hybrid conference from 31st Aug to 1st Sep 2023. The proceedings focus on the interplay between pedagogy and technology, and their fusion towards the advancement of smart learning for a sustainable…
Descriptors: Educational Technology, Electronic Learning, Sustainability, Student Satisfaction
European Students' Union, 2020
This Policy Paper aims at analysing the most important aspects of Public Responsibility, Financing and Governance of Higher Educations while seeking to formulate a students perspective on the state of play within the European Higher Education Area (EHEA). In doing so it touches upon the very foundation of how and in which socio-political…
Descriptors: Higher Education, Governance, Educational Finance, College Administration
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Loeckx, Johan – International Review of Research in Open and Distributed Learning, 2016
The opinions on MOOCs go to extremes, covering a wide variety of topics, affecting economy, pedagogy, and computer science which makes it hard to keep oversight. Despite the many excellent research reports and articles, an overview of the bigger picture, providing a holistic qualitative summary of the different opinions, is still very welcome.…
Descriptors: Online Courses, Computer Science, Teaching Methods, Social Environment
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Taçgin, Zeynep; Arslan, Ahmet – Education and Information Technologies, 2017
The purpose of this study is to determine perception of postgraduate Computer Education and Instructional Technologies (CEIT) students regarding the concepts of Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), Augmented Virtuality (AV) and Mirror Reality; and to offer a table that includes differences and similarities between…
Descriptors: Graduate Students, Student Attitudes, Computer Science Education, Educational Technology
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Laohajaratsang, Thanomporn – THAITESOL Journal, 2018
This research examines a selection of academic articles, existing evidence, and early indications of newly-designed Learning Management System (LMS) tools/functions, and then analyzes and synthesizes the concepts to form a thorough description of the components within the concept of next-generation LMS. The comparison of conventional LMS and…
Descriptors: Management Systems, Artificial Intelligence, Social Media, Computer Mediated Communication
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Weragama, Dinesha; Reye, Jim – International Journal of Artificial Intelligence in Education, 2014
Programming is a subject that many beginning students find difficult. The PHP Intelligent Tutoring System (PHP ITS) has been designed with the aim of making it easier for novices to learn the PHP language in order to develop dynamic web pages. Programming requires practice. This makes it necessary to include practical exercises in any ITS that…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Programming Languages
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Corno, Fulvio; De Russis, Luigi – IEEE Transactions on Education, 2017
The increasing complexity of the new breed of distributed intelligent systems, such as the Internet of Things, which require a diversity of languages and protocols, can only be tamed with design and programming best practices. Interest is also growing for including the human factor, as advocated by the "ambient intelligence" (AmI)…
Descriptors: Programming, Best Practices, Artificial Intelligence, Student Projects
Chai, Kevin E. K.; Gibson, David – International Association for Development of the Information Society, 2015
Improving student retention is an important and challenging problem for universities. This paper reports on the development of a student attrition model for predicting which first year students are most at-risk of leaving at various points in time during their first semester of study. The objective of developing such a model is to assist…
Descriptors: Undergraduate Students, Student Attrition, Prediction, Models
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Khoo, Elaine; Kang, Sohee – International Journal for Educational Integrity, 2022
Socializing students to Academic Integrity (AI) in the face of great cultural, linguistic and socioeconomic diversity in the student population in higher education calls for innovative strategies that are aligned with equity, diversity and inclusion principles. Through a mixed method of quantitative analysis of learner engagement data from the…
Descriptors: Integrity, Transformative Learning, Higher Education, Equal Education
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Supraja, S.; Hartman, Kevin; Tatinati, Sivanagaraja; Khong, Andy W. H. – International Educational Data Mining Society, 2017
Expertise in a domain of knowledge is characterized by a greater fluency for solving problems within that domain and a greater facility for transferring the structure of that knowledge to other domains. Deliberate practice and the feedback that takes place during practice activities serve as gateways for developing domain expertise. However, there…
Descriptors: Test Items, Outcomes of Education, Feedback (Response), Models
Alexander, Bryan; Ashford-Rowe, Kevin; Barajas-Murphy, Noreen; Dobbin, Gregory; Knott, Jessica; McCormack, Mark; Pomerantz, Jeffery; Seilhamer, Ryan; Weber, Nicole – EDUCAUSE, 2019
For 17 years, the New Media Consortium convened panels of experts from higher education and posed three key questions for them to discuss: (1) What is on the five-year horizon for higher education institutions?; (2) Which trends and technology developments will drive educational change?; and (3) What are the critical challenges and how can we…
Descriptors: Higher Education, Technology Integration, Educational Technology, Technology Uses in Education
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Ijaz, Kiran; Bogdanovych, Anton; Trescak, Tomas – Interactive Learning Environments, 2017
In this paper, we investigate an application of virtual reality and artificial intelligence (AI) as a technological combination that has a potential to improve the learning experience and engage with the modern generation of students. To address this need, we have created a virtual reality replica of one of humanity's first cities, the city of…
Descriptors: Educational Technology, Technology Uses in Education, History Instruction, Simulated Environment
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Chini, Jacquelyn J.; Straub, Carrie L.; Thomas, Kevin H. – Physical Review Physics Education Research, 2016
Undergraduate students are increasingly being used to support course transformations that incorporate research-based instructional strategies. While such students are typically selected based on strong content knowledge and possible interest in teaching, they often do not have previous pedagogical training. The current training models make use of…
Descriptors: Undergraduate Students, College Science, Physics, Science Process Skills
Brown, Malcolm; McCormack, Mark; Reeves, Jamie; Brooks, D. Christopher; Grajek, Susan – EDUCAUSE, 2020
In assuming ownership of the Horizon Report, EDUCAUSE recognized the challenges of anticipating the future. The authors have, in this first major revision of the report's methodology, structure, and content, striven to break the mold of the classic Horizon Report without losing its essential purpose. The report begins with a scan of the current…
Descriptors: Higher Education, Educational Technology, Technology Integration, Technology Uses in Education
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