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Gerry McWilliams; Julian C. Leslie; Claire McDowell – Journal of Behavioral Education, 2024
Headsprout Early Reading is a computer-based program designed on behavioral principles to enhance the basic skills that underpin the initial development of reading. In a within and between groups design, and using primary schools within Northern Ireland that had a currently high proportion of disadvantaged pupils, children who were behind their…
Descriptors: Intervention, Reading Programs, Phonics, Reading Skills
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Ünal Çakiroglu – Learning: Research and Practice, 2024
This quasi-experimental study aims to compare the effects of using combinations of written text, animation and narration in multimedia courseware. 114 sixth grade students assigned in three conditions were participated in the study. Three versions of the courseware with combinations of animation, text and narration were developed taking modality…
Descriptors: Courseware, Computer Assisted Instruction, Multimedia Instruction, Comparative Analysis
Julie Eberhard Smith – ProQuest LLC, 2024
This study investigated the effect a computer intervention program has on student proficiency in the Algebra 1 End of Course (EOC) examination. This study utilized the intervention math program IXL Math, a computerized program that targets individual students' skill practice and supports students' need to accelerate mastery of Algebra 1 skills in…
Descriptors: High School Students, Mathematics Instruction, Algebra, Intervention
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Sutoyo, Suyatno; Agustini, Rudiana; Fikriyati, Amiq – Pegem Journal of Education and Instruction, 2023
Currently critical thinking skills is becoming an important education issue to overcome the challanges of industrial revolution 4.0. Previous studies reported that the pre-service teachers' critical thinking dispositions and skills were still low, therefore, both aspects of critical thinking should be improved through learning activities in higher…
Descriptors: Critical Thinking, Thinking Skills, Preservice Teachers, Teacher Education Programs
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Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
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Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
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Ben-Yehudah, Gal; Eshet-Alkalai, Yoram – British Journal of Educational Technology, 2021
The use of digital environments for both learning and assessment is becoming prevalent. This often leads to incongruent situations, in which the study medium (eg, printed textbook) is different from the testing medium (eg, online multiple-choice exams). Despite some evidence that incongruent study-test situations are associated with inferior…
Descriptors: Reading Comprehension, Reading Tests, Test Format, Computer Assisted Testing
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Ken Nee Chee – Best Evidence in Chinese Education, 2024
Background: As technology continues to advance, language acquisition methodologies have increasingly been integrated into computer-assisted language learning (CALL) systems. In the context of Chinese language acquisition, characters are structured in three phases: the overall character, its components, and its strokes. Proficiency in identifying…
Descriptors: Reading Instruction, Computer Assisted Instruction, Chinese, Language Proficiency
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Haya Shamir; Erik Yoder; David Pocklington – Online Submission, 2023
Identifying effective means of ameliorating achievement gaps and addressing literacy deficits is essential. Computer-assisted instruction (CAI) is one avenue for providing this effective instruction to the students that can most benefit from it. In the current study, kindergarten students in a public school district in Illinois received…
Descriptors: Teaching Methods, Literacy Education, Computer Assisted Instruction, Achievement Gap
Spencer T. Normington – ProQuest LLC, 2024
This embedded experimental mixed-methods study examined the implementation and outcomes of World Music Drumming (WMD) curriculum on reading fluency in primary elementary children and teacher perceptions of its effectiveness in student-to-curriculum, student-to-student, and student-to-teacher interactions in a summer camp setting. WMD, with its…
Descriptors: Music Education, Music Activities, Reading Fluency, Scores
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Shemy, Nader Said – Journal of Education and e-Learning Research, 2022
This research investigates the effect of different levels of constructivist scaffolding within e-content on undergraduate students' mastery of learning and their attitudes towards it. The research sample involves three experimental groups, each group having thirty (30) students. The first group (Group 1) studied e-content with simple…
Descriptors: Mastery Learning, Undergraduate Students, Scaffolding (Teaching Technique), Constructivism (Learning)
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Fidan, Mustafa; Gencel, Nurgun – Journal of Educational Computing Research, 2022
This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…
Descriptors: Academic Achievement, Learning Motivation, Video Technology, Comparative Analysis
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
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Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
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Dutta, Rubina; Mantri, Archana; Singh, Gurjinder – Smart Learning Environments, 2022
The education system evolves and transforms towards interactive and immersive learning tools in this digital age. Augmented reality has also evolved as a ubiquitous, robust, and effective technology for providing innovative educational tools. In engineering education, many abstract concepts require technological intervention for conceptual…
Descriptors: Usability, Computer Simulation, Engineering Education, Intervention
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