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Sprenger, David A.; Schwaninger, Adrian – British Journal of Educational Technology, 2023
The technology acceptance model (TAM) uses perceived usefulness and perceived ease of use to predict the intention to use a technology which is important when deciding to invest in a technology. Its extension for e-learning (the general extended technology acceptance model for e-learning; GETAMEL) adds subjective norm to predict the intention to…
Descriptors: Video Technology, Demonstrations (Educational), Prediction, Intention
Stenberg-Sirén, Jenny; Vincze, László; Henning-Lindblom, Anna – International Journal of Multilingualism, 2023
Adapting the propositions and concepts of ethnolinguistic identity theory, the present paper examined the interactive effects of identification with English, interlanguage boundary, and the perceived ethnolinguistic vitality of English on mobilising efforts towards English, and competitive efforts against English as a third language among young…
Descriptors: English (Second Language), Second Language Learning, Finno Ugric Languages, Swedish
Smith, Alyssa C.; Ralph, Brandon C. W.; Smilek, Daniel; Wammes, Jeffrey D. – British Journal of Educational Psychology, 2023
Background: Much work has focused on "inattention" in the classroom, examining how episodes of task-unrelated thought (i.e., mind wandering) and engagement with various forms of media (e.g., media multitasking, smartphone use) influence retention of lecture material. However, considerably less work has examined factors that may…
Descriptors: Learner Engagement, Lecture Method, Undergraduate Students, Foreign Countries
Yürüm, Ozan Rasit; Taskaya-Temizel, Tugba; Yildirim, Soner – Education and Information Technologies, 2023
Video clickstream behaviors such as pause, forward, and backward offer great potential for educational data mining and learning analytics since students exhibit a significant amount of these behaviors in online courses. The purpose of this study is to investigate the predictive relationship between video clickstream behaviors and students' test…
Descriptors: Video Technology, Educational Technology, Learning Management Systems, Data Collection
Kevin Hirschi; Okim Kang – Language Teaching Research Quarterly, 2023
This paper extends the use of Generalizability Theory to the measurement of extemporaneous L2 speech through the lens of speech perception. Using six datasets of previous studies, it reports on "G studies"--a method of breaking down measurement variance--and "D studies"--a predictive study of the impact on reliability when…
Descriptors: Evaluators, Generalization, Evaluation Methods, Speech Communication
Alejandra Daniela Calero; Nicole Rosenfeld; María Belén Jader; Débora Inés Burin – International Journal of Emotional Education, 2023
The present work aims to study the relationship between perceived emotional intelligence, and general and emotional vocabulary. Undergraduate Psychology (N = 99) and Design (N = 44) students completed a number of tests about emotional intelligence (TMMS-21), general vocabulary (BAIRES-A), and emotional vocabulary respectively. The predictive…
Descriptors: Emotional Intelligence, Vocabulary Development, Psychology, Undergraduate Students
Fatima, Saba – ProQuest LLC, 2023
Predicting students' performance to identify which students are at risk of receiving a D/Fail/Withdraw (DFW) grade and ensuring their timely graduation is not just desirable but also necessary in most educational entities. In the US, not only is the Science, Technology, Engineering, and Mathematics (STEM) major becoming less popular among…
Descriptors: Artificial Intelligence, Prediction, Outcomes of Education, At Risk Students
Prediction of Students' Learning Outcomes by Various Variables in Gamified Online Accounting Courses
Sercemeli, Murat; Baydas Onlu, Ozlem – Education and Information Technologies, 2023
The study aims to examine student emotions and behavior in a Gamified Learning Environment (GLE) in detail. In the study, in order to reveal the behavior (dynamics) and feelings (emotions) that emerge within the framework of the mechanics applied in the GLE process, it is within the scope of the main objectives of the study to determine how…
Descriptors: Accounting, Teaching Methods, Game Based Learning, Outcomes of Education
Yongyun Shin; Stephen W. Raudenbush – Grantee Submission, 2023
We consider two-level models where a continuous response R and continuous covariates C are assumed missing at random. Inferences based on maximum likelihood or Bayes are routinely made by estimating their joint normal distribution from observed data R[subscript obs] and C[subscript obs]. However, if the model for R given C includes random…
Descriptors: Maximum Likelihood Statistics, Hierarchical Linear Modeling, Error of Measurement, Statistical Distributions
Natsuno Funada – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Studies on Global Englishes (GE)-related pedagogical and curricular innovations emphasize the importance of exposing students to the diversity of English and its users. However, they do not provide direct evidence of changes in students' attitudes. The reliability and validity of existing quantitative instruments for measuring students' attitudes…
Descriptors: Language Variation, English (Second Language), Second Language Learning, Second Language Instruction
Marcus Kubsch; Sebastian Strauß; Adrian Grimm; Sebastian Gombert; Hendrik Drachsler; Knut Neumann; Nikol Rummel – Educational Psychology Review, 2025
Recent research underscores the importance of inquiry learning for effective science education. Inquiry learning involves self-regulated learning (SRL), for example when students conduct investigations. Teachers face challenges in orchestrating and tracking student learning in such instruction; making it hard to adequately support students. Using…
Descriptors: Inquiry, Science Instruction, Electronic Books, Workbooks
Jolsvai, Hajnal; McCauley, Stewart M.; Christiansen, Morten H. – Cognitive Science, 2020
Whereas a growing bulk of work has demonstrated that both adults and children are sensitive to frequently occurring word sequences, little is known about the potential role of meaning in the processing of such multiword chunks. Here, we take a first step toward assessing the contribution of meaningfulness in the processing of multiword sequences,…
Descriptors: Phrase Structure, Language Processing, Prediction, Decision Making
Bozdag, Faruk – International Journal of Education and Literacy Studies, 2020
Due to increasing human mobility in today's world, relations among groups are becoming more and more important. As people with different cultures come in close contact they begin to influence inter-group attitudes (Barni et al., 2020; Turner et al., 2020). Xenophobia, which can be described as negative attitudes towards migrants, is one of the…
Descriptors: Stranger Reactions, College Students, Student Attitudes, Interpersonal Relationship
A Machine Learning-Based Computational System Proposal Aiming at Higher Education Dropout Prediction
Nicoletti, Maria do Carmo; de Oliveira, Osvaldo Luiz – Higher Education Studies, 2020
In the literature related to higher education, the concept of dropout has been approached from several perspectives and, over the years, its definition has been influenced by the use of diversified semantic interpretations. In a general higher education environment dropout can be broadly characterized as the act of a student engaged in a course…
Descriptors: Artificial Intelligence, Man Machine Systems, Computation, Prediction
O'Toole, John Mitchell; McKoy, Karina; Freestone, Margaret; Osborn, Judy-Anne – Education Sciences, 2020
'Literacy' and 'science' are power words and the interaction between them is of potential interest to people working at other boundaries between text and content, such as that characterising wider disciplinary literacy. 'Scientific literacy' has a deep enough literature base to support an attempt to build a model of these interactions. If robust,…
Descriptors: Scientific Literacy, Models, Comparative Analysis, Journal Articles

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