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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
Chiera, Belinda; Bédi, Branislav; Zviel-Girshin, Rina – Research-publishing.net, 2022
Modern language learning applications have become 'smarter' and 'intelligent' by including Artificial Intelligence (AI) and Machine Learning (ML) technologies to collect different kinds of data. This data can be used for analysis on a microscopic and/or macroscopic level to provide granulation of knowledge. We analyzed 1,213 French language…
Descriptors: Computer Software, Computer Assisted Instruction, French, Second Language Learning
Heather J. S. Birch – International Association for Development of the Information Society, 2023
This case study features pedagogical strategies that were used in the context of a mobile app for learning to encourage relevant engagement and participation. For 20 weeks, a group of 18 piano students, ages 10 through 15, used a mobile app known as PracticeCactus. This self-contained social media platform allowed young participants to create and…
Descriptors: Teaching Methods, Computer Software, Learner Engagement, Music Education
Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
Smith, Brent; Johnson, Andy; Hayden, Trey; Tolk, Florian – Advanced Distributed Learning Initiative, 2022
The human capital supply chain is a complex network of systems with inherent challenges to accommodating Total Learning Architecture (TLA) operability. This document covers the objective end-state for Department of Defense (DoD) learning organizations migrating to TLA compliant data and microservices. This document is organized into sections that…
Descriptors: Human Capital, Public Agencies, Armed Forces, Information Systems
Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
Sun, Z.; Liu, R.; Luo, L.; Wu, M.; Shi, C. – Journal of Computer Assisted Learning, 2017
The use of new technology encouraged exploration of the effectiveness and difference of collaborative learning in blended learning environments. This study investigated the social interactive network of students, level of knowledge building and perception level on usefulness in online and mobile collaborative learning environments in higher…
Descriptors: Cooperative Learning, Blended Learning, Social Networks, Network Analysis
What! No GUI? -- Teaching a Text Based Command Line Oriented Introduction to Computer Science Course
Goldstein, Ira – Information Systems Education Journal, 2019
Computer Science students need to acquire knowledge about both the hardware and software aspects of computing systems. It is necessary for them to understand how each layer interacts with one another. However, since Graphical User Interfaces have become ubiquitous, the opportunities to interact with the computer via a command prompt as part of…
Descriptors: Computer Science Education, Computer Software, Introductory Courses, Programming
Alm, Antonie; Nkomo, Larian M. – International Journal of Computer-Assisted Language Learning and Teaching, 2020
In 2016, a number of language applications released chatbots to complement their programmes. Used primarily in informal learning settings, chatbots enable language learners to engage in conversational speaking practice, which can be perceived as less threatening than face-to-face interactions with native speakers. This study takes a closer look at…
Descriptors: Informal Education, Second Language Learning, Second Language Instruction, Computer Mediated Communication
Chen, Weiyu; Brinton, Christopher G.; Cao, Da; Mason-Singh, Amanda; Lu, Charlton; Chiang, Mung – IEEE Transactions on Learning Technologies, 2019
We study learning outcome prediction for online courses. Whereas prior work has focused on semester-long courses with frequent student assessments, we focus on short-courses that have single outcomes assigned by instructors at the end. The lack of performance data and generally small enrollments makes the behavior of learners, captured as they…
Descriptors: Online Courses, Outcomes of Education, Prediction, Course Content
Leier, Vera; Gruber, Alice – JALT CALL Journal, 2021
This paper reports on a study investigating the use of digital devices by language students at universities in New Zealand, Sweden and Germany. The study also examines the use of social media for learning a foreign language in an institutional context, using survey results from language students in the three countries. Based on an online survey…
Descriptors: International Cooperation, Technology Uses in Education, Teaching Methods, Second Language Learning
MacLeod, Jason; Yang, Harrison Hao; Zhu, Sha; Shi, Yinghui – Journal of Educational Computing Research, 2018
In an effort to address student engagement challenges, much research has explored student-to-student connected classroom climate (CCC). Research positively associates CCC to the benefits of student integration, learning, and retention in face-to-face environments. However, few studies have examined CCC in computer-mediated environments. This study…
Descriptors: Classroom Environment, Computer Networks, Computer Software, Computer Mediated Communication
Zou, Bin; Li, Hui; Li, Jiaying – Computer Assisted Language Learning, 2018
Mobile apps are broadly used by students in and after class to improve their language skills. This study aimed to investigate how a curriculum app and a social communication app can be integrated into English language teaching and learning and what sorts of tasks can be employed to enhance learners' EFL learning. A curriculum app was created by…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Second Language Instruction
Tran, Phuong – Australian Journal of Applied Linguistics, 2018
Encouraging learners to engage in learning activities outside of formal class time is an ongoing challenge for language teachers. It has been argued that the social aspect of technologies can used as a support for learning, but how to achieve this remains a challenge. There is evidence that from a theoretical perspective, social networking appears…
Descriptors: Task Analysis, Computer Mediated Communication, Vocabulary Development, Social Networks
Abdallah, Mahmoud M. S. – Online Submission, 2021
Computer-Assisted Language Learning (CALL) for 4th Year EFL Student Teachers is a complementary language teaching methodology course, with a specific focus on computer-assisted language learning approaches, methods, techniques and procedures as well as the computer-based tools, devices, applications and facilities that can be used to facilitate…
Descriptors: Computer Assisted Instruction, Handheld Devices, Telecommunications, Second Language Learning