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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
Pavlik, Philip I., Jr.; Eglington, Luke G.; Harrell-Williams, Leigh M. – Grantee Submission, 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
Valerie L. McKinney – ProQuest LLC, 2021
The purpose of this study was to examine how technology impacted formal written communication in the online learning environment for first-year associate-level students and instructors. The use of a constructivist grounded theory approach was used to solicit the thoughts and perceptions of strategies and issues that were associated with the formal…
Descriptors: Electronic Learning, Writing (Composition), Technology Uses in Education, Influence of Technology
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
Cock, Jade Maï; Marras, Mirko; Giang, Christian; Käser, Tanja – International Educational Data Mining Society, 2022
Interactive simulations allow students to discover the underlying principles of a scientific phenomenon through their own exploration. Unfortunately, students often struggle to learn effectively in these environments. Classifying students' interaction data in the simulations based on their expected performance has the potential to enable adaptive…
Descriptors: Science Instruction, Prediction, Models, Interaction
Salbas, Hanife; Ekmekçi, Emrah – Journal on English Language Teaching, 2022
Computer-Assisted Language Learning (CALL) has evolved into an integral part of today's classrooms as a direct result of technological advancements. One of the most remarkable outcomes of CALL is the widespread use of Computer-Mediated Feedback (CMF) in classrooms. Notwithstanding that the previous studies have offered an insight into CMF, it has…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction

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