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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
Brisco, Ross; Whitfield, Robert Ian; Grierson, Hilary – Design and Technology Education, 2022
Based on observations of global design classes at different institutions, students selected technologies without justification for the suitability of the technology to support their collaborative design activities. To best support students in their collaborative endeavours, a short online course in computer-supported collaborative design was…
Descriptors: Design, Computer Assisted Instruction, Engineering Education, Online Courses
Jin, Haeyun; Karatay, Yasin; Bordbarjavidi, Fatemeh; Yang, Junghun; Kochem, Timothy; Muhammad, Ananda Astrini; Hegelheimer, Volker – ReCALL, 2022
Participation in online courses has become essential for training language professionals in under-resourced contexts with skills in computer-assisted language learning (CALL) (Godwin-Jones, 2014). Most online CALL courses use asynchronous computer-mediated communication (ACMC) to facilitate meaningful learning for participants. Although…
Descriptors: Computer Assisted Instruction, Second Language Learning, Electronic Learning, Learner Engagement
Nsabayezu, Ezechiel; Iyamuremye, Aloys; Urengejeho, Valentine; Mukiza, Janvier; Ukobizaba, Fidele; Mbonyiryivuze, Agnes; Kwitonda, Jean de Dieu – Education and Information Technologies, 2022
This paper reports on teachers' and students' perceptions about the effectiveness of computer use to enhance the teaching and learning of chemistry in inclusive classrooms. This study aims to investigate how students with visual and those with hearing disabilities can easily access chemistry instructions. The study adopted a mixed-method approach…
Descriptors: Science Instruction, Chemistry, Computer Assisted Instruction, Inclusion
Robillos, Roderick Julian; Thongpai, Jakkrapong – LEARN Journal: Language Education and Acquisition Research Network, 2022
Digital visual mapping to date has recently been implemented in an English Foreign Language (EFL) classroom. However, there is a growing need to implement this digital mapping tool within a strategic approach for more effective and self-regulated learning. This paper aimed to investigate the effects of Computer-Aided Argument Mapping (CAAM) within…
Descriptors: Computer Assisted Instruction, Metacognition, Persuasive Discourse, Written Language
Sospedra-Roca, Rafael; Hernàndez-Cardona, Francesc Xavier; Hernàndez-Pongiluppi, Mar – Cogent Education, 2022
Computed-generated imagery (CGI) generates diverse views and perceptions of the past. These new experiences impact, directly or indirectly, the teaching and learning of history. This article presents didactic iconographic works on the Spanish Civil War created by the DIDPATRI (Didactics of Heritage and New Technologies) research group at the…
Descriptors: Educational History, War, Teaching Methods, Informal Education
Birgin, Osman; Acar, Hatice – International Journal of Mathematical Education in Science and Technology, 2022
The aim of this study is to determine the effect of computer-supported collaborative learning (CSCL) using GeoGebra software on 11th grade students' achievement in exponential and logarithmic functions. This study was carried out with quasi-experimental design consisting of a pre-test and a post-test with the experimental group and the control…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Computer Software, Grade 11

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