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Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
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Nadira, Benmedakhene; Makhlouf, Derdour; Amroune, Mohamed – International Journal of Web-Based Learning and Teaching Technologies, 2021
The success of MOOC (massive open online courses) is rapidly increasing. Most educational institutions are highly interested in these online platforms, which embrace intellectual and educational objectives and provide various opportunities for lifelong learning. However, many limitations, such as learners' diversity, lack of motivation, affected…
Descriptors: Individualized Instruction, Computer Assisted Instruction, Online Courses, Open Education
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Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
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Lim, Lisa-Angelique; Dawson, Shane; Gaševic, Dragan; Joksimovic, Srecko; Fudge, Anthea; Pardo, Abelardo; Gentili, Sheridan – Australasian Journal of Educational Technology, 2020
Although technological advances have brought about new opportunities for scaling feedback to students, there remain challenges in how such feedback is presented and interpreted. There is a need to better understand how students make sense of such feedback to adapt self-regulated learning processes. This study examined students' sense-making of…
Descriptors: Individualized Instruction, Learning Analytics, Data Collection, Student Attitudes
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Zhang, Ruofei; Zou, Di; Xie, Haoran; Au, Oliver Tat Sheung; Wang, Fu Lee – Knowledge Management & E-Learning, 2020
This study presents a systematic review of previous research on ebook-based language learning. E-book-based language learning has been increasingly investigated in the field of language education, whereas previous review studies of relevant literature were relatively low in volume and incomprehensive from aspects of research participants and…
Descriptors: Second Language Learning, English (Second Language), Electronic Learning, Handheld Devices
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Gann, Courtney; Carpenter, Dan – Education and Urban Society, 2018
The purpose of this research study was to investigate the teaching and learning strategies used by homeschool parents with high school students. A qualitative case study was used which began with the administration of an open-ended questionnaire to a homeschool community in the southern United States. Twenty-nine parents completed the…
Descriptors: STEM Education, Teaching Methods, Learning Strategies, High School Students
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Kiernan, Darl; Bear, Donald R. – Reading Psychology, 2018
Educators need ways to assess orthographic knowledge and differentiate word study instruction for secondary, emergent bilingual learners. In this study, the spelling of 199 students in grades 7-12 across eight features and four spelling stages was examined to understand students' orthographic development; all but two were learning Spanish and…
Descriptors: Spelling, Spelling Instruction, Orthographic Symbols, Vocabulary Development
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Filderman, Marissa J.; Austin, Christy R.; Toste, Jessica R. – Intervention in School and Clinic, 2019
The process of implementing intensive reading interventions using data-based decision-making (DBDM) becomes increasingly challenging as students move into the secondary grades and reading tasks correspondingly become more complex. This article provides teachers with guidelines to support effective implementation of DBDM for students with or at…
Descriptors: Data Use, Reading Difficulties, At Risk Students, Secondary School Teachers
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Beemer, Joshua; Spoon, Kelly; Fan, Juanjuan; Stronach, Jeanne; Frazee, James P.; Bohonak, Andrew J.; Levine, Richard A. – Journal of Statistics Education, 2018
Estimating the efficacy of different instructional modalities, techniques, and interventions is challenging because teaching style covaries with instructor, and the typical student only takes a course once. We introduce the individualized treatment effect (ITE) from analyses of personalized medicine as a means to quantify individual student…
Descriptors: Learning Modalities, Academic Achievement, Intervention, Educational Research
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Karip, Fatih – Educational Research and Reviews, 2016
This study aims to analyze the dissertations about differentiated instruction in terms of their contents in Turkey. The data of the study was collected from Council of Higher Education National Thesis Center database. The dissertations were searched without any year limitation. As a result of searching, 19 dissertations were found. The data…
Descriptors: Foreign Countries, Individualized Instruction, Content Analysis, Intellectual Disciplines
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Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – International Association for Development of the Information Society, 2017
This study aims to test the usability of MyLA (My Learning Analytics), an application for students at two German universities: The Cooperative State University Mannheim and University of Mannheim. The participating universities focus on the support of personalized and self-regulated learning. MyLA collects data such as learning behavior and…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
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Van Lare, Michelle D. – Journal of School Leadership, 2016
Ever-growing expectations exist for educators to use assessments to collect, analyze, and interpret data, but how, if at all, are these processes affecting instruction? This descriptive case study of one team of second grade teachers offers an analysis of the links between teachers' use of data within their collaborative team meetings and…
Descriptors: Data Collection, Data Use, Teaching Methods, Grade 2
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Kurz, Alexander; Elliott, Stephen N.; Roach, Andrew T. – Remedial and Special Education, 2015
Response-to-intervention (RTI) systems posit that Tier 1 consists of high-quality general classroom instruction using evidence-based methods to address the needs of most students. However, data on the extent to which general education teachers provide such instruction are rarely collected. This missing instructional data problem may result in RTI…
Descriptors: Response to Intervention, Data, Data Collection, Special Education
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Foulger, Teresa S.; Graziano, Kevin J.; Schmidt-Crawford, Denise A.; Slykhuis, David A. – Journal of Technology and Teacher Education, 2017
The U.S. National Educational Technology Plan recommends the need to have a common set of technology competencies specifically for teacher educators who prepare teacher candidates to teach with technology (U.S. Department of Education, Office of Educational Technology, 2017). This study facilitated the co-creation of the Teacher Educator…
Descriptors: Teacher Competencies, Technological Literacy, Teacher Educators, Preservice Teacher Education
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Haas, Lindsay B.; Stickney, Eric M.; Ysseldyke, James E. – Journal of Applied School Psychology, 2016
The authors examined the extent to which classroom teachers in naturalistic settings used a Goal-Setting Tool to set instructional goals for struggling students, the kinds of goals they set, their progress monitoring practices with and without goals, and the extent to which students gain more when a goal-setting tool is used. The goal-setting tool…
Descriptors: At Risk Students, Learning Disabilities, Student Educational Objectives, Goal Orientation
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