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Jutta Kray; Linda Sommerfeld; Arielle Borovsky; Katja Häuser – Child Development Perspectives, 2024
Prediction error plays a pivotal role in theories of learning, including theories of language acquisition and use. Researchers have investigated whether and under which conditions children, like adults, use prediction to facilitate language comprehension at different levels of linguistic representation. However, many aspects of the reciprocal…
Descriptors: Prediction, Child Development, Language Acquisition, Error Analysis (Language)
Damla Mustu Yaldiz; Saniye Kuleli; Ozlem Soydan Oktay; Nedime Selin Copgeven; Elif Akyol Emmungil; Yusuf Yildirim; Firat Sosuncu; Mehmet Firat – Turkish Online Journal of Distance Education, 2024
The e-learning domain has witnessed a shift from the traditional behavioral approach to an individual centered learning approach based on learning analytics, with the aim of creating personalized and learner sensitive designs. A systematic literature review of 284 articles published between 2011 and 2022 in 133 different journals was conducted to…
Descriptors: Learning Analytics, Personal Autonomy, Independent Study, Learning Processes
Yoshiyuki Nakata; Osamu Takeuchi; Maya Sugita McEown – Studies in Second Language Learning and Teaching, 2025
The key to successful language learning depends on the extent to which learners are self-regulated in learning a second or foreign language (L2). In this process, learners' perceptions and beliefs about their abilities play a crucial role in predicting or controlling positive or negative emotions, motivation and the use of strategies. Therefore,…
Descriptors: Metacognition, Second Language Learning, Second Language Instruction, Learning Strategies
Carme Grimalt-Álvaro; Mireia Usart – Journal of Computing in Higher Education, 2024
Sentiment Analysis (SA), a technique based on applying artificial intelligence to analyze textual data in natural language, can help to characterize interactions between students and teachers and improve learning through timely, personalized feedback, but its use in education is still scarce. This systematic literature review explores how SA has…
Descriptors: Formative Evaluation, Higher Education, Artificial Intelligence, Natural Language Processing
Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
Castro-Alonso, Juan C.; Wong, Rachel M.; Adesope, Olusola O.; Paas, Fred – Educational Psychology Review, 2021
Multimedia pedagogical agents are on-screen characters that allow users to navigate or learn in multimedia environments. Several agents' characteristics may moderate their instructional effectiveness, including appearance, gender, nonverbal communication, motion, and voice. Here, we conducted a meta-analysis to test hypotheses from diverse…
Descriptors: Teaching Methods, Multimedia Instruction, Meta Analysis, Instructional Effectiveness
Dale, Rick – Behavior Analyst Today, 2004
The past 20 years have seen research on language acquisition in the cognitive sciences grow immensely. The current paper offers a fairly extensive review of this literature, arguing that new cognitive theories and empirical data are perfectly consistent with core predictions a behavior analytic approach makes about language development. The review…
Descriptors: Language Acquisition, Psycholinguistics, Prediction, Grammar
Peer reviewedSavelyev, Alexander Y. – Higher Education in Europe, 1987
The U.S.S.R.'s Scientific Research Institute for Higher Education Problems and its research efforts are described, and other individual and cooperative efforts for higher education research by member states of the Council for Mutual Economic Assistance are discussed. (MSE)
Descriptors: Computer Uses in Education, Continuing Education, Curriculum Development, Educational Planning

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