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Showing 1 to 15 of 70 results Save | Export
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Ramazanoglu, Mehmet – European Journal of Educational Sciences, 2021
This paper focuses on revealing and modeling the cognitive constructs of pre-service teachers regarding the characteristics of a good IT academician. The research was carried out via the exploratory sequential design with the participation of 42 volunteer pre-service teachers enrolled in the Department of Computer and Instructional Technology. The…
Descriptors: Preservice Teachers, Student Attitudes, Information Technology, Cognitive Structures
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Emerson, Andrew; Rodríguez, Fernando J.; Mott, Bradford; Smith, Andy; Min, Wookhee; Boyer, Kristy Elizabeth; Smith, Cody; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2019
Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…
Descriptors: Programming, Computer Science Education, Feedback (Response), Prediction
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Geigle, Chase; Zhai, ChengXiang – Journal of Educational Data Mining, 2017
Massive open online courses (MOOCs) provide educators with an abundance of data describing how students interact with the platform, but this data is highly underutilized today. This is in part due to the lack of sophisticated tools to provide interpretable and actionable summaries of huge amounts of MOOC activity present in log data. To address…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Gitinabard, Niki; Xu, Yiqiao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin F. – IEEE Transactions on Learning Technologies, 2019
Blended courses that mix in-person instruction with online platforms are increasingly common in secondary education. These platforms record a rich amount of data on students' study habits and social interactions. Prior research has shown that these metrics are correlated with students performance in face-to-face classes. However, predictive models…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Prediction
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Giannakos, Michail, Ed. – Lecture Notes in Educational Technology, 2020
This book introduces the reader to evidence-based non-formal and informal science learning considerations (including technological and pedagogical innovations) that have emerged in and empowered the information and communications technology (ICT) era. The contributions come from diverse countries and contexts (such as hackerspaces, museums,…
Descriptors: Nonformal Education, Informal Education, Science Education, Computer Uses in Education
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Savic, Goran; Segedinac, Milan; Milenkovic, Dušica; Hrin, Tamara; Segedinac, Mirjana – Australasian Journal of Educational Technology, 2018
This paper presents research on using a model-driven approach to the development and management of electronic courses. We propose a course management system which stores a course model represented as distinct machine-readable components containing domain knowledge of different course aspects. Based on this formally defined platform-independent…
Descriptors: Electronic Learning, Online Courses, Curriculum Development, Management Systems
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Araújo, Rafael D.; Brant-Ribeiro, Taffarel; Mendonça, Igor E. S.; Mendes, Miller M.; Dorça, Fabiano A.; Cattelan, Renan G. – Educational Technology & Society, 2017
This article presents a social and collaborative model for content enrichment in Ubiquitous Learning Environments. Designed as a loosely coupled software architecture, the proposed model was implemented and integrated into the Classroom eXperience, a multimedia capture platform for educational environments. After automatically recording a lecture…
Descriptors: Educational Technology, Technology Uses in Education, Models, Computer Software
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Izmirli, Serkan; Sahin Izmirli, Ozden – Turkish Online Journal of Distance Education, 2015
The purpose of this study was to determine the factors motivating pre-service teachers for online learning within the context of ARCS motivation model. The study, in which the phenomenology model was used, was carried out with 52 pre-service teachers attending the department of Computer Education and Instructional Technologies at the Education…
Descriptors: Preservice Teachers, Teacher Education, Student Motivation, Models
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Rambe, Patient; Nel, Liezel – British Journal of Educational Technology, 2015
The discourse of social media adoption in higher education has often been funnelled through utopian and dystopian perspectives, which are polarised but determinist theorisations of human engagement with educational technologies. Consequently, these determinist approaches have obscured a broadened grasp of the situated, socially constructed nature…
Descriptors: Social Networks, Educational Technology, Phenomenology, Foreign Countries
Cheng, Pericles L. – ProQuest LLC, 2017
The Digital Agenda for Europe (2015) states that there will be 825,000 unfilled vacancies for Information and Communications Technology by 2020. This lack of IT professionals stems from the small number of students graduating in computer science. To retain more students in the field, teachers can use remote robotic experiments to explain difficult…
Descriptors: Intention, Robotics, High Schools, Secondary School Teachers
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Usta, Necla Dönmez; Güntepe, Ebru Turan – Journal of Education and Training Studies, 2017
With the developments in information and communication technologies, books which are fundamental information sources for students throughout their education and training process are being transformed into electronic book (e-book) formats. E-books provide interactive environments, and they are also updateable materials, which shows that, in time,…
Descriptors: Preservice Teachers, Preservice Teacher Education, Material Development, Models
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Dillenbourg, Pierre – International Journal of Artificial Intelligence in Education, 2016
How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…
Descriptors: Artificial Intelligence, Educational Trends, Trend Analysis, Educational Technology
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Lin, Teng-Chiao; Ho, Hui-Ping; Chang, Ching-Ter – Journal of Educational Computing Research, 2014
With the widespread use of the Internet, adopting e-learning systems in courses has gradually become more and more important in universities in Taiwan. However, because of limitations of teachers' time, selecting suitable online IT tools has become very important. This study proposes an analytic hierarchy process (AHP)-multi-choice goal…
Descriptors: Foreign Countries, Electronic Learning, Information Technology, Evaluation Methods
Khan, Arshia – International Association for Development of the Information Society, 2014
Integrated curricula and experiential learning are the main ingredients to the recipe to improve student learning in higher education. In the academic computer science world it is mostly assumed that this experiential learning takes place at a business as an internship experience. The intent of this paper is to schism the traditional understanding…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
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Al-Azawei, Ahmed; Lundqvist, Karsten – Electronic Journal of e-Learning, 2015
Online learning constitutes the most popular distance-learning method, with flexibility, accessibility, visibility, manageability and availability as its core features. However, current research indicates that its efficacy is not consistent across all learners. This study aimed to modify and extend the factors of the Technology Acceptance Model…
Descriptors: Student Attitudes, Online Courses, Psychometrics, Questionnaires
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