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Gülfem Gürses; Aysenur I?nceelli – Turkish Online Journal of Educational Technology - TOJET, 2024
ICAP is a framework that classifies learning processes based on students' explicit behaviors. The framework is developed for testing the hypothesis that interactive exercises are better than constructive exercises, and active exercises are better than the passive exercises for higher cognitive engagement and better learning outcomes. The ICAP…
Descriptors: Learning Processes, Learning Theories, Classification, Active Learning
Arnon Hershkovitz; Norbert Noster; Hans-Stefan Siller; Michal Tabach – ZDM: Mathematics Education, 2024
Learning Analytics is concerned with the use of data collected in educational settings to support learning processes. We take a Learning Analytics approach to study the use of immediate feedback in digital classification tasks in mathematics. Feedback serves as an opportunity for learning, however its mere existence does not guarantee its use and…
Descriptors: Learning Analytics, Classification, Geometry, Mathematics Instruction
Catherine Akoth Ongoro; Yong-Yi Fanjiang – IEEE Transactions on Learning Technologies, 2024
This article aims to provide a systematic review of existing research on the use of digital game-based learning (DGBL) technology for foreign language (English) in preschool and elementary schools. Digital game-based technology enables learning to become more interactive and inspirational, thereby enhancing language acquisition. The authors…
Descriptors: Game Based Learning, Elementary School Students, Preschool Education, Creativity
Jonathan K. Foster; Peter Youngs; Rachel van Aswegen; Samarth Singh; Ginger S. Watson; Scott T. Acton – Journal of Learning Analytics, 2024
Despite a tremendous increase in the use of video for conducting research in classrooms as well as preparing and evaluating teachers, there remain notable challenges to using classroom videos at scale, including time and financial costs. Recent advances in artificial intelligence could make the process of analyzing, scoring, and cataloguing videos…
Descriptors: Learning Analytics, Automation, Classification, Artificial Intelligence
Poole, Frederick J.; Clarke-Midura, Jody – Language Learning & Technology, 2023
Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…
Descriptors: Computer Games, Second Language Learning, Second Language Instruction, Data Analysis
Machimana, Petronella Nondumiso Nompilo; Genis, Gerhard – Journal on English Language Teaching, 2022
This paper explores and compares the language learning strategies of high and low performing second language (L2) learners participating in peer tutoring. The participating learners were grouped into high and low performing learners based on their scores in English second language. The classification of strategies by Griffiths into base, core and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learning Strategies
Pinar Kahveci; Zekiye Müge Tavil – Shanlax International Journal of Education, 2024
Language learning strategies may have a key role in foreign language learning because they may foster learner autonomy and motivation. Keeping the learner-centred nature of language learning strategies in mind, this study set out to understand the impact of overt listening and reading strategy instruction on learners' listening and reading…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learning Strategies
Bayan Masarwa; Hagit Hel-Or; Sharona T. Levy – Journal of Research in Childhood Education, 2024
Computational thinking (CT) activities are increasingly being integrated into early childhood schools. We focus on studying children's learning using an "unplugged" (non-computational) learning unit that considers a teacher's knowledge and classroom space and affords seamless adaptation into the classroom given the objects used in the…
Descriptors: Kindergarten, Computation, Thinking Skills, Educational Games
Carina Büscher – International Journal of Science and Mathematics Education, 2025
Computational thinking (CT) is becoming increasingly important as a learning content. Subject-integrated approaches aim to develop CT within other subjects like mathematics. The question is how exactly CT can be integrated and learned in mathematics classrooms. In a case study involving 12 sixth-grade learners, CT activities were explored that…
Descriptors: Mathematics Instruction, Thinking Skills, Teaching Methods, Computer Science Education
Condon, Lara; Machalow, Rowan; Remillard, Janine; Van Steenbrugge, Hendrik; Krzywacki, Heidi; Koljonen, Tuula – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
We present a typology for characterizing online student-facing mathematics platforms that examines how they position students as learners, exemplified by 9 commonly used platforms. We identify three types of student learning experiences: instruction and practice, practice and support, and conceptual games and activities, and describe each one in…
Descriptors: Mathematics Education, Elementary School Mathematics, Elementary School Students, Electronic Learning
Lee, Monica G.; Soland, James – Policy Analysis for California Education, PACE, 2022
Reclassification can be an important juncture in the academic experience of English learners (ELs). Literature has explored the potential for reclassification to influence academic outcomes like achievement, but its impact on social-emotional learning (SEL) skills, which are malleable and important for long-term success, remains unclear. Using a…
Descriptors: Classification, English Language Learners, English (Second Language), Second Language Learning
Mei-ki Chan; Michael J. Furlong; Emmy Ruff – Contemporary School Psychology, 2025
This research study holds practical significance for educators, school administrators, and mental health professionals. The study utilized structural equation modeling on two samples of elementary school students in grades three to five to create and validate condensed versions of the Social-Emotional Health Survey-Primary and the Me and My School…
Descriptors: Mental Health, Screening Tests, Elementary School Students, Classification
Ouyang, Xiangzi; Zhang, Xiao; Räsänen, Pekka; Koponen, Tuire; Lerkkanen, Marja-Kristiina – Child Development, 2023
Using cognitive diagnostic modeling (CDM), this study identified subtypes of mathematics learning disability (MLD) based on children's numerical skills and examined the language and spatial precursors of these subtypes. Participants were 99 MLD children and 420 low achievers identified from 1839 Finnish children (966 boys) who were followed from…
Descriptors: Learning Disabilities, Mathematics Education, Cognitive Processes, Classification
Levin, Nathan A. – Journal of Educational Data Mining, 2021
The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…
Descriptors: Learning Analytics, Data Collection, Competition, Prediction
Stagg, Bethan C. – Research in Science & Technological Education, 2020
Background: Children's interest in science is known to decline around the upper primary age, and botanical topics are unpopular with students. Drama in education has the potential to increase motivation and interest in school science. Purpose: The study examined the impact of immersive drama on knowledge about biological classification and…
Descriptors: Drama, Science Education, Plants (Botany), Elementary School Students