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Rau, Martina Angela – International Journal of Artificial Intelligence in Education, 2017
Traditional knowledge-component models describe students' content knowledge (e.g., their ability to carry out problem-solving procedures or their ability to reason about a concept). In many STEM domains, instruction uses multiple visual representations such as graphs, figures, and diagrams. The use of visual representations implies a…
Descriptors: Knowledge Representation, Models, Competence, Learning Processes
Boudria, Asma; Lafifi, Yacine; Bordjiba, Yamina – International Journal of Distance Education Technologies, 2018
The free nature and open access courses in the Massive Open Online Courses (MOOC) allow the facilities of disseminating information for a large number of participants. However, the "massive" propriety can generate many pedagogical problems, such as the assessment of learners, which is considered as the major difficulty facing in the…
Descriptors: Large Group Instruction, Online Courses, Peer Evaluation, Cooperation
Shroff, Ronnie H.; Keyes, Christopher J. – Journal of Information Technology Education: Research, 2017
Aim/Purpose: By integrating a motivational perspective into the Technology Acceptance Model, the goal of this study is to empirically test the causal relationship of intrinsic motivational factors on students' behavioral intention to use (BIU) a mobile application for learning. Background: Although the Technology Acceptance Model is a significant…
Descriptors: Student Motivation, Student Behavior, Intention, Telecommunications
Ouedraogo, Boukary – Higher Education Studies, 2017
This article uses data survey on 82 teachers from the University of Ouagadougou and the model of unified theory of acceptance and use of technology (UTAUT) to assess the determinants of acceptance and educational use of ICT by teachers. The paper's outcomes show that the construct "performance expectancy" of ICT (expected utility and…
Descriptors: Foreign Countries, Models, Information Technology, Computer Attitudes
Wook, Muslihah; Yusof, Zawiyah M.; Nazri, Mohd Zakree Ahmad – Education and Information Technologies, 2017
The acceptance of Educational Data Mining (EDM) technology is on the rise due to, its ability to extract new knowledge from large amounts of students' data. This knowledge is important for educational stakeholders, such as policy makers, educators, and students themselves to enhance efficiency and achievements. However, previous studies on EDM…
Descriptors: Educational Research, Information Retrieval, Data Analysis, Educational Technology
Jan, Muhammad Tahir – Interactive Technology and Smart Education, 2017
Purpose: The purpose of this paper is to investigate those factors that are associated with the adoption of social networking sites from the perspective of Muslim users residing in Malaysia. Design/methodology/approach: A complete self-administered questionnaire was collected from 223 Muslim users of social networking sites in Malaysia. Both…
Descriptors: Social Media, Educational Technology, Technology Uses in Education, Muslims
Adi Sucipto, Taufiq Lilo; Efendi, Agus; Hanif, Husni Nadya; Budiyanto, Cucuk – Online Submission, 2017
The study examines the influence of learning management systems to the implementation of flipped classroom model in a vocational school in Indonesia. The flipped classroom is a relatively new educational model that inverts students' time to study on lectures and time spent on homework. Despite studies have been conducted on the model, few…
Descriptors: Integrated Learning Systems, Educational Technology, Blended Learning, Vocational Schools
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
Building and Evaluating Logistic Regression Models for Explaining the Choice to Adopt MOOCs in India
Trehan, Sangeeta; Joshi, Rakesh Mohan – International Journal of Education and Development using Information and Communication Technology, 2018
Logistic regression is a popular tool used to build and evaluate binary choice models. It has been applied in a variety of situations and contexts involving dichotomous choice. In the current paper, we apply it to explain and predict the individual choice of adopting online learning through a Massive Online Open Course (MOOC), a specific artefact…
Descriptors: Foreign Countries, Online Courses, Large Group Instruction, Educational Technology
Cerna, Miloslava – Open Learning, 2018
The paper discusses the deployment of cognitive and affective components for teaching languages in a blended learning university setting. A modified expectancy model of motivation was designed and applied. The usability testing of a language education website was used as a framework with affective and cognitive features. The selection of the…
Descriptors: College Students, Blended Learning, Educational Technology, Technology Uses in Education
Isaias, Pedro; Reis, Francisco; Coutinho, Clara; Lencastre, Jose Alberto – Interactive Technology and Smart Education, 2017
Purpose: This paper examines the acceptance, of a group of 79 students, of an educational forum, used for mobile and distance learning, that has been modified to include empathic characteristics and affective principles. Design/Methodology/Approach: With this study is proposed that the introduction of empathic and affective principles in…
Descriptors: Telecommunications, Handheld Devices, Distance Education, Educational Technology
Sun, Jun; Wang, Ying – Information Systems Education Journal, 2014
One major challenge in online education is how to select appropriate e-learning tools for different learning tasks. Based on the premise of Task-Technology Fit Theory, this study suggests that the effectiveness of student learning in online courses depends on the alignment between two. Furthermore, it conceptualizes the formation of such a fit…
Descriptors: Online Courses, Educational Technology, Electronic Learning, Assignments
Hanlon, Sean Thomas – ProQuest LLC, 2013
Many students are not prepared to meet the literacy demands of college and career as defined by the Common Core State Standards (2010). Literacy researchers have struggled to define the frequency and type of reading practice necessary to nurture the development of reading ability. The principles of deliberate practice provide a theoretical…
Descriptors: Reading Ability, Educational Technology, Hypothesis Testing, Reading Improvement
Andjelic, Svetlana; Cekerevac, Zoran – Education and Information Technologies, 2014
This article presents the original model of the computer adaptive testing and grade formation, based on scientifically recognized theories. The base of the model is a personalized algorithm for selection of questions depending on the accuracy of the answer to the previous question. The test is divided into three basic levels of difficulty, and the…
Descriptors: Computer Assisted Testing, Educational Technology, Grades (Scholastic), Test Construction
Chen, Ruey-Shin; Liu, I-Fan – Journal of Educational Computing Research, 2017
Currently, e-learning systems are being widely used in all stages of education. However, it is difficult for school administrators to accurately assess the actual usage performance of a new system, especially when an organization wishes to update the system for users from different backgrounds using new devices such as smartphones. To allow school…
Descriptors: Educational Technology, Technology Uses in Education, College Students, Student Attitudes

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