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Ha, Young; Im, Hyunjoo – Online Learning, 2020
The purpose of this study was to examine the effect of interactive online learning tools on college student learning using flow as the guiding perspective. Study 1 was conducted to test the effect of online interactivity manipulated by dynamic visual learning tools on student's flow experience, level of telepresence, actual performance on tests,…
Descriptors: Electronic Learning, Individualized Instruction, Visual Learning, Instructional Effectiveness
Gerencser, Kristina R.; Higbee, Thomas S.; Contreras, Bethany P.; Pellegrino, Azure J.; Gunn, Summer L. – Journal of Behavioral Education, 2018
Efficient and effective training strategies for paraprofessionals in special education settings face many challenges. Interactive computerized training (ICT)--a self-paced program that incorporates audio narration, video models, interactive activities, and competency checks--is one potential solution. ICT has been successful in training college…
Descriptors: Computer Assisted Instruction, Paraprofessional School Personnel, Special Education, Individualized Instruction
Özçakir, Bilal; Özdemir, Duygu; Kiymaz, Yasemin – International Journal of Contemporary Educational Research, 2020
Gifted students have potential to improve countries and this potential can be revealed and developed in schools where they spend most of their times with other regular students. However, these classrooms have some limitations for them; hence, they need some differentiated activities. Usage of dynamic geometry in mathematics lessons could be an…
Descriptors: Geometry, Mathematics Instruction, Gifted, Teaching Methods
Huang, Xinyi; Zou, Di; Cheng, Gary; Chen, Xieling; Xie, Haoran – Educational Technology & Society, 2023
Artificial Intelligence (AI) plays an increasingly important role in language education; however, the trends, research issues, and applications of AI in language learning remain largely under-investigated. Accordingly, the present paper, using bibliometric analysis, investigates these issues via a review of 516 papers published between 2000 and…
Descriptors: Trend Analysis, Educational Trends, Vocabulary Development, Artificial Intelligence
Nobel, Kerstin; Grünke, Matthias – Insights into Learning Disabilities, 2020
Most students who struggle with writing have particular trouble with planning a text. They do not find themselves sufficiently able to generate content and organize the ideas they wish to address into a coherent order. STOP & LIST is a well-proven strategy that has the potential to help students mold an internal representation of the text in…
Descriptors: Writing Instruction, Computer Assisted Instruction, Writing Skills, Writing (Composition)
Ghysels, J.; Haelermans, C. – Journal of Computer Assisted Learning, 2018
This paper provides new evidence on the effect of computerized individualized practice and instruction on language skills, more specifically on spelling. An individually randomized experiment among 7th grade students in the Netherlands is developed to study the effect of an adaptive digital homework tool on spelling performance. Using an…
Descriptors: Teaching Methods, Computer Assisted Instruction, Grade 7, Language Skills
Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on mathematics achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) mathematics assessment. This study compared mathematics achievement growth of students who used…
Descriptors: Mathematics Achievement, Mathematics Instruction, Program Evaluation, Individualized Instruction
Bonner, Euan; Lege, Ryan; Frazier, Erin – Teaching English with Technology, 2023
Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…
Descriptors: Teaching Methods, Artificial Intelligence, Second Language Learning, Second Language Instruction
Kolekar, Sucheta V.; Pai, Radhika M.; M. M., Manohara Pai – Education and Information Technologies, 2019
The term Adaptive E-learning System (AES) refers to the set of techniques and approaches that are combined together to offer online courses to the learners with the aim of providing customized resources and interfaces. Most of these systems focus on adaptive contents which are generated to the learners without considering the learning styles of…
Descriptors: Computer Interfaces, Computer Assisted Instruction, Electronic Learning, Online Courses
Miller, Laurie A.; Asarta, Carlos J.; Schmidt, James R. – Journal of Education for Business, 2019
The authors examine effects on student performance, from applying different deadline strategies to online assignments in face-to-face principles of macroeconomics courses. Students in one section were required to complete weekly adaptive learning assignments. Students in the second section were required to complete the adaptive assignments only…
Descriptors: Individualized Instruction, Academic Achievement, Assignments, Time Management
Zulfiani Zulfiani; Iwan Permana Suwarna; Sujiyo Miranto – Journal of Baltic Science Education, 2018
Students with their different learning styles also have their own different learning approaches, and teachers cannot simultaneously facilitate them all. Teachers' limitation in serving all students' learning styles can be anticipated by the use of computer-based instructions. This research aims to develop ScEd-Adaptive Learning System (ScEd-ASL)…
Descriptors: Science Instruction, Cognitive Style, Intelligent Tutoring Systems, Teaching Methods
Boatman, Angela; Kramer, Jenna W. – Center for the Analysis of Postsecondary Readiness, 2019
Innovation in instructional technology has contributed to the rapid implementation of technology-driven instructional platforms, particularly in developmental math coursework. Prior research has shown that instructional environment and classroom experience influence student development and outcomes. Consequently, when courses transition to…
Descriptors: Teaching Methods, Educational Technology, Mathematics Instruction, Computer Assisted Instruction
Walsh, Rupert – Advances in Language and Literary Studies, 2021
Mobile Assisted Language Learning (MALL) is now common in extra-curricular language learning, but, more recently, teachers have increasingly sought ways to utilise MALL as a communicative classroom tool. Research into the extent that MALL can transform a whole communicative language course, and learners' impressions of such courses, is scarce.…
Descriptors: Teaching Methods, Communicative Competence (Languages), Computer Assisted Instruction, Telecommunications
Arciuli, Joanne; Bailey, Benjamin – Language, Speech, and Hearing Services in Schools, 2021
Purpose: Children with autism have an increased likelihood of reading difficulties. The reasons for this are numerous and varied, but many children with autism can learn to read when they are provided with evidence-based early reading instruction. Method: Here, we provide an overview of some of the factors that impact early reading development for…
Descriptors: Early Reading, Beginning Reading, Emergent Literacy, Reading Instruction
Chen, Xieling; Zou, Di; Xie, Haoran; Cheng, Gary – Educational Technology & Society, 2021
Personalized language learning (PLL), a popular approach to precision language education, plays an increasingly essential role in effective language education to meet diverse learner needs and expectations. Research on PLL has become an active sub-field of research on technology-enhanced language learning and artificial intelligence applications…
Descriptors: Second Language Learning, Second Language Instruction, Individualized Instruction, Trend Analysis