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Kyza, Eleni A.; Georgiou, Yiannis; Agesilaou, Andria; Souropetsis, Markos – Journal of Educational Computing Research, 2022
There are increasing calls to introduce computational thinking in schools; the arguments in favor call upon research suggesting that even kindergarten children can successfully engage in coding. This contribution presents a cross-sectional study examining the coding practices and computational thinking of fifty-one primary school children using…
Descriptors: Case Studies, Elementary School Students, Computer Science Education, Coding
Qiao Wang; Ralph L. Rose; Ayaka Sugawara; Naho Orita – Vocabulary Learning and Instruction, 2025
VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…
Descriptors: Vocabulary Skills, Artificial Intelligence, Computer Software, Multiple Choice Tests
Sidhu, Manjit Singh – International Journal of Information and Communication Technology Education, 2019
In this article, a study was done to compare the preferences of UNITEN students in using augmented reality technology user interface applications to solve selected engineering problems. Cross sectional study design and a Wilcoxon-Signed Rank Test approach was adopted to analyze the difference in the rankings of the engineering applications. Within…
Descriptors: Engineering Education, Problem Solving, Computer Software, Usability
Norouzian, Reza; de Miranda, Michael; Plonsky, Luke – Language Learning, 2018
Frequentist methods have long dominated data analysis in quantitative second language (L2) research. Recently, however, several empirical fields have begun to embrace alternatives known as Bayesian methods. Using an open-source approach, we provide an applied, nontechnical rationale for Bayesian methods in L2 research. First, we compare the…
Descriptors: Second Language Learning, Language Research, Bayesian Statistics, Comparative Analysis
Son, Seung-Hee Claire; Butcher, Kirsten R.; Liang, Lauren Aimonette – Elementary School Journal, 2020
This study investigates how interactive features embedded in the illustrations of storybook apps influenced young readers' story enjoyment and comprehension. Kindergartners and second graders (N = 91) were randomly assigned to read storybook apps in an interactive or noninteractive condition. Findings showed that children's self-reported enjoyment…
Descriptors: Computer Software, Reading Comprehension, Preferences, Recall (Psychology)
Booton, Sophie A.; Hodgkiss, Alex; Murphy, Victoria A. – Computer Assisted Language Learning, 2023
Mobile touchscreen applications present new opportunities for children's language learning. This systematic review synthesizes the evidence on the impact of features of mobile applications on children's language learning. Experimental studies published from 2010 onwards with children aged 3 to 11 years old were included. Of the 1,081 studies…
Descriptors: Telecommunications, Handheld Devices, Second Language Instruction, Second Language Learning
Cortés, Darwin; Mantilla, César; Prada, Laura – Journal of Economic Education, 2023
The authors adapted a lab-in-the-field experiment emulating the dynamic extraction of a fishery to create a Web-based classroom experiment. The game includes a multi-player version analogous to an open-access problem and a single-player version analogous to the social planner problem. This game is helpful in introductory microeconomics courses to…
Descriptors: Web Based Instruction, Teaching Methods, Elective Courses, Animal Husbandry
von Davier, Matthias; Tyack, Lillian; Khorramdel, Lale – Educational and Psychological Measurement, 2023
Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…
Descriptors: Scoring, Networks, Artificial Intelligence, Elementary Secondary Education
Lubera, Amber – ProQuest LLC, 2023
This dissertation presents four iterative experiments which explore the quantitative benefits of introducing linguistics to language learners. Previous work has connected exploration of linguistic with improved morale and engagement in language classrooms, as well as reduced language discrimination and validation of students' languages and…
Descriptors: Second Language Learning, Second Language Instruction, Learner Engagement, Linguistics
Jennifer Hu – ProQuest LLC, 2023
Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…
Descriptors: Linguistic Theory, Computational Linguistics, Models, Language Research
Maher, Carolyn; Schazmann, Benjamin; Gornushkin, Igor B.; Rurack, Knut; Gojani, Ardian B. – Journal of Chemical Education, 2021
Laser-induced breakdown spectroscopy (LIBS) and principal component analysis (PCA) are frequently used for analytical purposes in research and industry, but they seldom are part of the chemistry curriculum or laboratory exercises. This case study paper describes the combined application of LIBS and PCA during a research internship for an…
Descriptors: Factor Analysis, Case Studies, Internship Programs, Undergraduate Students
Sole, Martin Edward; Barber, Patrick; Turner, Ian – Design and Technology Education, 2021
The economic importance of design, and design engineers to the success of a company has led to the exponential growth in the demand for qualified design engineers. To fill this demand, colleges and universities provide the best training available so that, after graduation these engineers will provide significant input from the first day of work.…
Descriptors: Engineering Education, Design, Education Work Relationship, Water Quality
Huang, Lingyun; Li, Shan; Poitras, Eric G.; Lajoie, Susanne P. – British Journal of Educational Technology, 2021
Past research shows that both teachers' technological pedagogical content knowledge (TPACK) and their engagement in metacognitive activities are essential to technology integration in the classroom. However, the interplay between teachers' TPACK ability and their metacognitive skills is still underexplored, especially in the context of developing…
Descriptors: Metacognition, Teaching Methods, Technology Integration, Technological Literacy
Kivuti, Edwin Mwosa – International Journal of Information and Communication Technology Education, 2021
This study evaluated the comparative effect of interactive multimedia to text-based content on learners taking a software application course. 111 participants took part in the study. The researcher employed the use of web analytics and online surveys to capture data. The study showed that there was a significant difference in the learner`s…
Descriptors: Comparative Analysis, Computer Science Education, Computer Software, Preferences
Barollet, Théo; Bouchez Tichadou, Florent; Rastello, Fabrice – International Educational Data Mining Society, 2021
In Intelligent Tutoring Systems (ITS), methods to choose the next exercise for a student are inspired from generic recommender systems, used, for instance, in online shopping or multimedia recommendation. As such, collaborative filtering, especially matrix factorization, is often included as a part of recommendation algorithms in ITS. One notable…
Descriptors: Intelligent Tutoring Systems, Prediction, Internet, Purchasing

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