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Tinatin Tchintcharauli; Nino Tsintsadze; Teona Damenia; Tamar Kalkhitashvili; Nino Doborjginidze; Sigal Uziel-Karl – First Language, 2024
This article explores the applicability of mean length of utterance (MLU) as a language assessment measure for Georgian child language, as to-date, Georgian, a morphologically rich language with numerous inflectional categories, experiences an extensive lack of instruments for early language assessment. To this end, a set of guidelines for…
Descriptors: Guidelines, Oral Language, Language Acquisition, Turkic Languages
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Aisha Naz Ansari; Sohail Ahmad; Sadia Muzaffar Bhutta – Education and Information Technologies, 2024
The recent development of AI Chatbot -- specifically ChatGPT -- has gained dramatic attention from users as evident by ongoing discussion among the education fraternity. We argue that prior to making any conclusion, it is important to understand how ChatGPT is being used in higher education across the globe. This paper makes a significant…
Descriptors: Artificial Intelligence, Higher Education, Educational Technology, Technology Uses in Education
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Mehrdad Yousefpoori-Naeim; Surina He; Ying Cui; Maria Cutumisu – International Review of Education, 2024
In addition to pre- and in-service teacher education programmes, teachers' autonomous reading of content related to their work contributes significantly to their professional development. This study investigated the factors that influenced the professional reading of 10,469 language teachers in the 2018 dataset of the Programme for International…
Descriptors: Language Teachers, Predictor Variables, Reading Habits, Teacher Background
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Cathryn Allen; Bryson R. Payne; Tamirat Abegaz; Chuck Robertson – Journal of Cybersecurity Education, Research and Practice, 2024
Research indicates that deceitful videos tend to spread rapidly online and influence people's opinions and ideas. Because of this, video misinformation via deepfake video manipulation poses a significant online threat. This study aims to discover what factors can influence viewers' capability to distinguish deepfake videos from genuine video…
Descriptors: Deception, Information Security, Video Technology, Computer Security
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Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
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Jennifer Campbell; Katie Ansell; Tim Stelzer – Physical Review Physics Education Research, 2024
Recent advances in publicly available natural language processors (NLP) may enhance the efficiency of analyzing student short-answer responses in physics education research (PER). We train a state-of-the-art NLP, IBM's Watson, and test its agreement with human coders using two different studies that gathered text responses in which students…
Descriptors: Artificial Intelligence, Physics, Natural Language Processing, Computer Uses in Education
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Haitham Taha; Vered Vaknin-Nusbaum; Einat Nevo – Reading Psychology, 2024
Poor implicit learning was suggested to be associated with poor orthographic knowledge. The current study examined the differences between twenty typical (age 8.68 ±0.15), and twenty poor readers (age 8.45 ±0.22) in implicit learning of novel graphemes. In the first stage, each participant was passively displayed with 80 pairs of real and…
Descriptors: Reading Instruction, Reading Difficulties, Graphemes, Reading Skills
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Terry A. Ackerman; Deborah L. Bandalos; Derek C. Briggs; Howard T. Everson; Andrew D. Ho; Susan M. Lottridge; Matthew J. Madison; Sandip Sinharay; Michael C. Rodriguez; Michael Russell; Alina A. Davier; Stefanie A. Wind – Educational Measurement: Issues and Practice, 2024
This article presents the consensus of an National Council on Measurement in Education Presidential Task Force on Foundational Competencies in Educational Measurement. Foundational competencies are those that support future development of additional professional and disciplinary competencies. The authors develop a framework for foundational…
Descriptors: Educational Assessment, Competence, Skill Development, Communication Skills
Scott P. Ardoin; Katherine S. Binder; Paulina A. Kulesz; Eloise Nimocks; Joshua A. Mellott – Grantee Submission, 2024
Understanding test-taking strategies (TTSs) and the variables that influence TTSs is crucial to understanding what reading comprehension tests measure. We examined how passage and student characteristics were associated with TTSs and their impact on response accuracy. Third (n = 78), fifth (n = 86), and eighth (n = 86) graders read and answered…
Descriptors: Test Wiseness, Eye Movements, Reading Comprehension, Reading Tests
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Tessa Bent; Melissa Baese-Berk; Brian Puckett; Erica Ryherd; Sydney Perry; Natalie A. Manley – Cognitive Research: Principles and Implications, 2024
Word identification accuracy is modulated by many factors including linguistic characteristics of words (frequent vs. infrequent), listening environment (noisy vs. quiet), and listener-related differences (older vs. younger). Nearly, all studies investigating these factors use high-familiarity words and noise signals that are either energetic…
Descriptors: Older Adults, Word Recognition, Medicine, Vocabulary
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Yi Zhang; Christian D. Schunn; Yong Wu – International Journal of Educational Technology in Higher Education, 2024
Peer feedback literacy is becoming increasingly important in higher education as peer feedback has substantially grown as a pedagogical approach. However, quality of produced feedback, a key behavioral aspect of peer feedback literacy, lacks a systematic and evidence-based conceptualization to guide research, instruction, and system design. We…
Descriptors: Peer Evaluation, Feedback (Response), Literacy, Guidelines
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Ryusei Munemura; Fumiya Okubo; Tsubasa Minematsu; Yuta Taniguchi; Atsushi Shimada – International Association for Development of the Information Society, 2024
Course planning is essential for academic success and the achievement of personal goals. Although universities provide course syllabi and curriculum maps for course planning, integrating and understanding these resources by the learners themselves for effective course planning is time-consuming and difficult. To address this issue, this study…
Descriptors: Curriculum Development, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Sarah Berger; Laura J. Batterink – Developmental Science, 2024
Children achieve better long-term language outcomes than adults. However, it remains unclear whether children actually learn language "more quickly" than adults during real-time exposure to input--indicative of true superior language learning abilities--or whether this advantage stems from other factors. To examine this issue, we…
Descriptors: Child Language, Language Acquisition, Learning Processes, Language Skills
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Kedar Nepal; Ram C. Kafle – Metacognition and Learning, 2024
We collected data on students' self-assessment behavior from four sections of a Calculus II course. Students were asked to write their expected scores on each of the weekly in-class quizzes and problems in the exams, immediately after they completed them. They were then asked to justify their expectation in writing. One-on-one interviews were…
Descriptors: Undergraduate Students, Self Evaluation (Individuals), Calculus, Mathematics Instruction
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Lin Zhu; Shujuan Xue – International Journal of Web-Based Learning and Teaching Technologies, 2024
In this article, the research of multimedia teaching video content feature extraction is carried out. According to the file structure, data type, and storage mechanism of the teaching video, a program is developed to automatically extract the structural features of the teaching video content, and a storage and retrieval database is established.…
Descriptors: Multimedia Instruction, Video Technology, Technology Uses in Education, Information Storage
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