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Hameed, Irfan; Haq, Mirza A.; Khan, Najmonnisa; Zainab, Bibi – On the Horizon, 2022
Purpose: Social media has shown a substantial influence on the daily lives of students, mainly due to the overuse of smartphones. Students use social media both for academic and non-academic purposes. Due to an increase in the usage of social media, academicians are now confronting pedagogical issues, and the question arises as to whether the use…
Descriptors: Social Media, Use Studies, Academic Achievement, Cognitive Processes
Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
Zhong, Lin – Smart Learning Environments, 2022
While role-playing games and personalized learning have been regarded as effective tools to improve students' learning, incorporating personalized learning into role-playing games is challenging and approaches are limited to cognitive and motivational variables. Aiming at expanding approaches to incorporate personalization into role-playing games,…
Descriptors: Individualized Instruction, Role Playing, Cognitive Processes, Difficulty Level
John R. Baker – Language Learning Journal, 2024
The idea that reading model essays facilitates better writing is generally accepted in second language writing literature. As such, anthologies of model essays are often selected for inclusion in writing centre self-access library shelves. When selecting these texts, readability is often considered via the application of quantitative readability…
Descriptors: Foreign Countries, Laboratories, Writing (Composition), Word Recognition
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Hodge, Brad; Wright, Brad; Bennett, Pauleen – Journal of Further and Higher Education, 2019
Despite the fact that both workplace and training environments can be inherently demanding, these environments sometimes manage to elicit a level of engagement and enthusiasm that is surprising. The Job Demands-Resources (JD-R) model has been used extensively within the workplace to predict both engagement and burnout. It suggests that high…
Descriptors: Learner Engagement, Burnout, Training, College Students
Tawafak, Ragad M.; Alfarsi, Ghaliya; Jabbar, Jasiya – Contemporary Educational Technology, 2021
With restrictions on face-to-face clinical consultations within the COVID-19 pandemic and the challenges faced by healthcare systems in delivering patient care, alternative information technologies like telemedicine and smartphones play a crucial role. A wide variety of smartphone applications employs high-tech mathematical and programming…
Descriptors: COVID-19, Pandemics, Handheld Devices, Telecommunications
Katz, Adi – Journal of Information Systems Education, 2020
Conceptual modeling of databases is a complex cognitive activity, particularly for novice database designers. The current research empirically tests a new pedagogy for this activity. It examines an instructional approach that stresses visualizing gradual transitions between levels of abstraction in different hierarchic levels of a relational…
Descriptors: Databases, Database Design, Information Science Education, Teaching Methods
Rybinski, Krzysztof; Kopciuszewska, Elzbieta – Assessment & Evaluation in Higher Education, 2021
This article presents the first-ever big data study of the student evaluation of teaching (SET) using artificial intelligence (AI). We train natural language processing (NLP) models on 1.6 million student evaluations from the US and the UK. We address two research questions: (1) are these models able to predict student ratings from the student…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation of Teacher Performance, Natural Language Processing
Esteban-Millat, Irene; Martínez-López, Francisco J.; Pujol-Jover, Maria; Gázquez-Abad, Juan Carlos; Alegret, Alejandro – Interactive Learning Environments, 2018
This study advances the understanding of the process by which students accept and use e-learning environments. This is a key aspect in studying the online behaviour of students, as it directly influences their conduct in their capacity as users of learning products. To address the lack of empirical data on the adoption of this type of learning…
Descriptors: Educational Technology, Technology Uses in Education, Student Motivation, Models
Katz, Adi – Journal of Technology and Science Education, 2018
Since database conceptual modeling is a complex cognitive activity, finding an appropriate pedagogy to deliver the topic to novice database designers is a challenge for Information Systems (IS) educators. The four-level TSSL model that is known in the area of human-computer interactions (HCI) is used to explain and demonstrate how instructional…
Descriptors: Schemata (Cognition), Databases, Visualization, Teaching Methods
Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
Kartal, Erdogan – Educational Sciences: Theory and Practice, 2019
This study is about artificial neural network modeling of the linguistic challenges encountered by students learning Turkish as a foreign language in universities in France. The study was conducted in four universities where Turkish is taught as an optional foreign language. Sixty-six students whose mother tongues were either Arabic or French…
Descriptors: Turkish, French, Second Language Learning, Second Language Instruction
Raza, Syed Ali; Qazi, Wasim; Umer, Amna – Journal of Educational Computing Research, 2017
This study analyzes the influence of Facebook usage on building social capital among university students in Karachi by using a modified framework of technology acceptance model. Important information was gathered utilizing organized questionnaire containing items of Facebook intensity, social self-efficacy, perceived ease of use, perceived…
Descriptors: College Students, Social Capital, Social Media, Developing Nations
Cojean, Salomé; Jamet, Eric – Journal of Computer Assisted Learning, 2018
Information seeking (IS) has become a critical activity in video-based environments. Up to now, the effects of support on information seeking (i.e., scaffolding) have seldom been assessed. The twofold aim of the current study was to (a) assess the effects of scaffolding on IS in videos and (b) determine the characteristics of the users' mental…
Descriptors: Scaffolding (Teaching Technique), Information Seeking, Video Technology, Technology Uses in Education