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Almeida, Nora – College & Research Libraries, 2022
If there's one thing you learn today, let it be this: keywords. Not specific keywords but the idea of them. If you whisper the correct keywords into the algorithm, you will achieve relevance. If you don't achieve relevance on the first try (which is super common), imagine you're an academic with a specialization in a super-niche disciplinary area…
Descriptors: Library Instruction, Teaching Methods, Information Retrieval, Academic Libraries
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Anagha Vaidya; Sarika Sharma – Interactive Technology and Smart Education, 2024
Purpose: Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome. Learning analytics and educational data mining provide a set of techniques that can be conveniently applied to extensive data collected as part of the evaluation…
Descriptors: Course Evaluation, Learning Analytics, Formative Evaluation, Information Retrieval
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Hayriye Nevin Genc; Nuriye Kocak – Journal of Education in Science, Environment and Health, 2024
Understanding the trends and developments in artificial intelligence research in science education, which has rapidly advanced in recent years, is crucial for technological innovations and applications in education. Therefore, this study examines research on artificial intelligence in science education conducted between 2019 and 2023 (the last…
Descriptors: Bibliometrics, Information Retrieval, Databases, Artificial Intelligence
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Yanfei Shen; Lili Chu; Song Yang; Xueli Zhang; Zhonggen Yu – International Journal of Web-Based Learning and Teaching Technologies, 2024
Since the outbreak of the pandemic in 2019, pandemic prevention and control has gradually become normal, and internet-based massive open online courses (MOOCs) have become widely available. Aiming to give an insight into learner engagement, motivation, and learning performance in MOOCs in the post-pandemic time, this study reviewed 52 articles…
Descriptors: MOOCs, Learning Motivation, Pandemics, COVID-19
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Yuwei Xia; Ying Luo; Xiaofei Lu – Language Teaching Research Quarterly, 2024
Grounded in Vygotsky's Sociocultural Theory, Dynamic Assessment (DA) can provide fine-tuned information regarding learners' development and opportunities to promote further development. Vocabulary knowledge, because of its complex nature, requires a more sensitive assessment, especially for second language (L2) learners. This systematic literature…
Descriptors: Evaluation Methods, Vocabulary Development, Second Language Learning, Second Language Instruction
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Jie Tian – International Journal of Web-Based Learning and Teaching Technologies, 2025
As cloud computing, big data, and AI advance, teachers increasingly leverage "cloud" technology for flexible and intelligent teaching. The "cloud classroom" is a growing trend, especially for instrumental music education. This paper examines the pros and cons of cloud-based instrumental music teaching, exploring how to adapt…
Descriptors: Music Education, Musical Instruments, Artificial Intelligence, Educational Technology
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Asrizal Wahdan Wilsa; Hartono; Bambang Subali; Enni Suwarsi Rahayu – Malaysian Journal of Learning and Instruction, 2025
Purpose -- Through the use of content analysis, this study was aimed at identifying the patterns in research conducted during the past decade and investigating the bibliometric outcomes of articles focused on augmented reality (AR) utilization in biology learning. Methodology -- This study conducted a bibliometric analysis. To perform the…
Descriptors: Educational Research, Trend Analysis, Computer Simulation, Technology Uses in Education
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Sevan Nart – Turkish Online Journal of Educational Technology - TOJET, 2025
Research has indicated that the ever-changing emerging technologies have different impacts on music education from many perspectives such as; music pedagogy, instruction methods, evaluation approaches. For almost 30 years the online learning and education platforms based on Artificial Intelligence (AI) provides both teachers and students with rich…
Descriptors: Music Education, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Maarten van der Velde; Malte Krambeer; Hedderik van Rijn – International Educational Data Mining Society, 2025
Ensuring the integrity of results in online learning and assessment tools is a challenge, due to the lack of direct supervision increasing the risk of fraud. We propose and evaluate a machine learning-based method for detecting anomalous behaviour in an online retrieval practice task, using an XGBoost classifier trained on keystroke dynamics and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Behavior, Information Retrieval
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Haim, Aaron; Gyurcsan, Robert; Baxter, Chris; Shaw, Stacy T.; Heffernan, Neil T. – International Educational Data Mining Society, 2023
Despite increased efforts to assess the adoption rates of open science and robustness of reproducibility in sub-disciplines of education technology, there is a lack of understanding of why some research is not reproducible. Prior work has taken the first step toward assessing reproducibility of research, but has assumed certain constraints which…
Descriptors: Conferences (Gatherings), Educational Research, Replication (Evaluation), Access to Information
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Orman, Evelyn K.; Frega, Ana Lucía – International Journal of Music Education, 2023
This descriptive study reports analyses of titles (N = 636) and authors (N = 1,012) of published research papers presented at the 1st through 27th International Society for Music Education (ISME) Research Commission (RC) seminars from 1968 through 2018. We considered global impact based on manuscript citations, times countries or specific global…
Descriptors: Authors, Trend Analysis, Seminars, Music Education
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Batool, Saba; Rashid, Junaid; Nisar, Muhammad Wasif; Kim, Jungeun; Kwon, Hyuk-Yoon; Hussain, Amir – Education and Information Technologies, 2023
Educational data mining is an emerging interdisciplinary research area involving both education and informatics. It has become an imperative research area due to many advantages that educational institutions can achieve. Along these lines, various data mining techniques have been used to improve learning outcomes by exploring large-scale data that…
Descriptors: Academic Achievement, Prediction, Data Use, Information Retrieval
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Pallath, Akash; Zhang, Qiyang – Research Synthesis Methods, 2023
Systematic reviews are vital instruments for researchers to understand broad trends in a field and synthesize evidence on the effectiveness of interventions in addressing specific issues. The quality of a systematic review depends critically on having comprehensively surveyed all relevant literature on the review topic. In addition to database…
Descriptors: Literature Reviews, Online Searching, Automation, Citations (References)
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Gilbert, Liz T.; Delaney, Peter F.; Racsmány, Mihály – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
List-method directed forgetting usually involves asking people to study a list, followed by a cue to forget it, and then studying a second list. Prior work suggests that List 2 encoding is necessary for directed forgetting to occur, but recent studies have found that moving the forget cue from List 1 to List 2 allows people to selectively forget…
Descriptors: Memory, Information Retrieval, Recall (Psychology), Word Lists
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Kienitz, Anna; Krebs, Marie-Christin; Eitel, Alexander – Instructional Science: An International Journal of the Learning Sciences, 2023
Previous research often revealed detrimental effects of seductive details on learning with multimedia instruction, but there are mixed findings regarding how to best explain these detrimental effects. We investigated whether the detrimental effects of seductive details are mainly mediated by the cognitive processes of diversion (deeper processing…
Descriptors: Multimedia Instruction, Cognitive Processes, Difficulty Level, Relevance (Education)
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