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Bahari, Akbar – Interactive Learning Environments, 2023
Second language teaching approaches that were originally proposed for classroom context are used for blended learning context as well as distance learning contexts regardless of their fundamental differences in terms of applicability, accessibility, objectives, designs and theoretical bases. Such theoretical and practical incompatibilities served…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Second Language Learning, English (Second Language)
Made Aryawan Adijaya; I. Ketut Armawan; Maria Goreti Rini Kristiantari – International Journal of Language Education, 2023
Learning activities need to facilitate vocational students in learning independently. It certainly has an impact on students' low understanding and skills. This research aims to develop Mobile-Assisted Language Learning (MALL) for Vocational Education. This type of research is development research. The development model used is the ADDIE model.…
Descriptors: Vocational Education, Computer Assisted Instruction, Telecommunications, Handheld Devices
Emad A. Alghamdi; Paul Gruba; Ahmed Masrai; Eduardo Velloso – Language Learning & Technology, 2023
Although measures of lexical complexity are well established for printed texts, there is currently no equivalent work for videos. This study, therefore, aims to investigate whether existing lexical complexity measures can be extended to predict second language (L2) learners' judgment of video difficulty. Using a corpus of 320 instructional videos,…
Descriptors: Difficulty Level, Interactive Video, Computer Assisted Instruction, Word Frequency
Kay Oddone – International Review of Research in Open and Distributed Learning, 2023
This paper explores the experiences of university educators who use personal learning networks (PLNs) to enhance professional knowledge. With growing expectations to design and deliver effective online learning experiences, the PLN may offer flexible and supportive professional learning opportunities that build digital pedagogical capabilities.…
Descriptors: Social Networks, College Faculty, Faculty Development, COVID-19
Eunice Ifenyinwa Ugwu; Margret Ndidiamaka Ezeaku; Blessing Ijeoma Attah; Udochukwu M. Emeghebo; Emmanuel Chekwube Eze – Online Submission, 2023
The purpose of the study was to investigate the application of computer aided design (CAD) and Flat techniques in teaching pattern drafting by clothing lecturers in Universities in South East, Nigeria. The population for the study was 48 lecturers. The entire number of Clothing lecturers in the above three universities were used because of the…
Descriptors: Foreign Countries, Clothing Instruction, Computer Assisted Instruction, Access to Computers
Dorottya Demszky; Jing Liu; Heather C. Hill; Shyamoli Sanghi; Ariel Chung – Annenberg Institute for School Reform at Brown University, 2023
While recent studies have demonstrated the potential of automated feedback to enhance teacher instruction in virtual settings, its efficacy in traditional classrooms remains unexplored. In collaboration with TeachFX, we conducted a pre-registered randomized controlled trial involving 523 Utah mathematics and science teachers to assess the impact…
Descriptors: Elementary Secondary Education, Mathematics Teachers, Science Teachers, Automation
Pamela H. Taylor; Beverly W. Henry; Steven M. Howell; Thomas J. Smith; Kim Milano; Terence Hodges – Journal of Drug Education, 2023
Objective: Social adjustment, including alcohol use, directly affects the success of college students. Due to an increased reliance on computer-delivered alcohol interventions (CDIs) a need has emerged to further investigate alcohol use and web-based interventions. Methods: In-depth focus group interviews were conducted with 51 undergraduate…
Descriptors: Student Attitudes, Program Effectiveness, Alcohol Abuse, Alcohol Education
Sukavatee, Pornpimol; Khlaisang, Jintavee – rEFLections, 2023
One of the greatest advantages of mobile language learning is its ease of access, especially to learners in the 21st century who have the option of selecting any learning content that matches their preferences or language development goals, anywhere and at any time. Mobile-assisted language learning or MALL takes learning beyond the classroom,…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Handheld Devices
Ming Li, Editor; Xibin Han, Editor; Jiangang Cheng, Editor – Springer, 2023
This open access book provides related theories, methods, strategies, and practical cases for implementing education reform through blended learning in curriculum, program, and institutions in the digital age. It sums up the research and practice achievements of blended learning from different research teams, involving more than 20 experts from…
Descriptors: Blended Learning, Computer Assisted Instruction, Computer Uses in Education, Educational Technology
Kirk P. Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison Liu; Stacy T. Shaw; Neil T. Heffernan – Grantee Submission, 2023
As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…
Descriptors: Intervention, Program Effectiveness, Student Behavior, Computer Assisted Instruction
Chang, Ching-Yi; Kuo, Shu-Yu; Hwang, Gwo-Haur – Educational Technology & Society, 2022
Conventional nursing courses have solely adopted lecture-based instruction for knowledge delivery, which tends to lack interaction, rehearsal, and personalized feedback. The development of chatbot technologies and their broad application have provided an opportunity to solve the abovementioned problems. Some knowledge-based chatbot systems have…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Computer Assisted Instruction, Nursing Education
Li, Shupin; Pöysä-Tarhonen, Johanna; Häkkinen, Päivi – International Journal of Computer-Supported Collaborative Learning, 2022
In today's digital society, computer-supported collaborative learning (CSCL) and collaborative problem solving (CPS) have received increasing attention. CPS studies have often emphasized outcomes such as skill levels of CPS, whereas the action transitions in the paths to solve the problems related to these outcomes have been scarcely studied. The…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Problem Solving, Network Analysis
Li, Kam Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2022
Purpose: This paper aims to present a comprehensive review of the present state and trends of smart education research. It addresses the need to have a systematic review of smart education to depict its research landscape in view of the growing volume of related publications. Design/methodology/approach: A bibliometric analysis of publications on…
Descriptors: Electronic Learning, Artificial Intelligence, Technology Uses in Education, Bibliometrics
Perales Aguilera, Oscar Antonio – ProQuest LLC, 2022
There has been a move towards integrating educational technology into K-12 mathematics classrooms. This emphasis has been partly driven by policy, increases in technology resources available, and a need to engage students in their mathematical learning. Most studies on technology integration in mathematics education are focused on teachers'…
Descriptors: Student Experience, Computer Assisted Instruction, Cooperative Learning, Technology Uses in Education
College Student Experiences with Computer-Assisted Instruction in a Developmental Mathematics Course
Dorestant, Paul H. – ProQuest LLC, 2022
Advances in technology are helping reshape how students learn, communicate, and interact in higher education; this change may assist universities as they address the developmental course crisis. This study sought to increase understanding of how computer-assisted instruction (CAI) impacted students' perception of their experience in a…
Descriptors: Educational Technology, Computer Assisted Instruction, Student Attitudes, Mathematics Instruction