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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
Persinger, Jonah M.; Dunham, Stacey M.; Husmann, Polly R. – HAPS Educator, 2021
Basic Human Anatomy at Indiana University is a large undergraduate anatomy class with nearly five hundred students in twelve lab sections. In the fall of 2018, we added the Virtual Human Dissector software on an interactive Sectra table to our lab to help students fill the gap between idealized anatomical models and fully prosected cadavers. We…
Descriptors: Anatomy, Technology Uses in Education, Science Laboratories, Undergraduate Students
Seren, Mehmet; Ozcan, Zeynel Ersin – International Journal of Curriculum and Instruction, 2021
The concept of distance education has become even more substantial in the days when humanity is having difficult times with pandemic. Besides, there is an idea that education will have transformed when the life after pandemic starts. Aim of this research is to discuss artificial intelligence-supported or artificial intelligence-based education,…
Descriptors: COVID-19, Pandemics, Distance Education, Artificial Intelligence
Kong, Siu-Cheung – Research and Practice in Technology Enhanced Learning, 2021
This study aimed at proposing an e-Learning framework in school education. The proposed framework consisted of technology and pedagogy dimensions. The method of computer-aided analysis of learners' reflection text was used to evaluate the pedagogical delivery of the proposed framework. A study involving 33 in-service teachers in a teacher…
Descriptors: Electronic Learning, Computer Assisted Instruction, Learning Analytics, Professional Development
Park, Jaeuk – Smart Learning Environments, 2021
The rapid advancement of technology has allowed computer-assisted language learning (CALL) to have made inroads in the area of pedagogy for language and culture learning. While the majority of studies have used online and virtual environments for culture learning, very little attention has been paid to a real world environment. This study is based…
Descriptors: Cultural Education, Foreign Countries, Technology Uses in Education, Computer Assisted Instruction
Cheng, Xiaoqiao – Science Insights Education Frontiers, 2021
Internet teaching using electronic teaching software or other multimedia can play a certain role in promoting academic performance, just like traditional teaching. Therefore, the problem is not that schools do not use computers or the Internet, but how to best use them, and should explore what methods are most effective for what kind of students…
Descriptors: Computer Assisted Instruction, Internet, Educational Technology, Technology Uses in Education
Duren, Dustin; Layne, Todd Estel; Bray, Niki; Irwin, Carol C. – Physical Educator, 2021
As time transforms education, methodology also needs to adapt to course instruction. However, instructors face a challenge to be effective while meeting each student's learning needs. One such need for students today is the implementation of technological approaches to learning. The purpose of this study was to determine the perceptions of a new…
Descriptors: Individualized Instruction, Instructional Innovation, Technology Uses in Education, Teacher Attitudes
Bilgin, Enes Abdurrahman – International Journal of Education and Literacy Studies, 2021
In today's world, educated individuals are expected to understand basic statistical concepts and interpret statistical messages. For this reason, despite the undeniable importance of statistical literacy in the educational process, studies on undergraduate and postgraduate students in practice reveal that students have difficulties in determining…
Descriptors: Computer Uses in Education, Computer Software, Statistics, Literacy
Oxman, Victor; Stupel, Moshe; Weissman, Shula – International Journal of Mathematical Education in Science and Technology, 2021
The present paper describes beautiful conservation relations between areas formed by different geometrical shapes and area relations formed by algebraic functions. The conservation properties were investigated by students at an academic college of education using a computerized technological tool and were subsequently accompanied by justified…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Assisted Instruction, Geometry
Pavlik, Philip; Eglington, Luke; Harrell-Williams, Leigh – IEEE Transactions on Learning Technologies, 2021
Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…
Descriptors: Technology Uses in Education, Educational Technology, Models, Computer Assisted Instruction
Hwang, Wu-Yuin; Hoang, Anh; Lin, Ya-Hsuan – Journal of Computer Assisted Learning, 2021
With facilitation of advanced technologies, design and application of "smart" become promising research issues in education. Although it is potential for students to learn geometric in authentic contexts, there were still lack of studies addressing "smart" learning issue in authentic context for geometry. This study aim to…
Descriptors: Geometry, Elementary School Students, Computer Assisted Instruction, Authentic Learning
Er, Erkan; Dimitriadis, Yannis; Gaševic, Dragan – Assessment & Evaluation in Higher Education, 2021
Although dialogue can augment the impact of feedback on student learning, dialogic feedback is unaffordable by instructors teaching large classes. In this regard, peer feedback can offer a scalable and effective solution. However, the existing practices optimistically rely on students' discussion about feedback and lack a systematic design…
Descriptors: Cooperative Learning, Peer Evaluation, Feedback (Response), Learning Analytics

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