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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
Anderson, Rick; Wiles, Peter – Mathematics Teacher: Learning and Teaching PK-12, 2021
As children progress through the elementary grades, they are expected to begin to use attributes of shapes to name and classify them. When listening to children talk about shapes, it becomes clear that the process of learning to reason geometrically is complex. Recognizing the complex nature of students' geometric reasoning, the authors present in…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Classification
Reed, Phil – Autism: The International Journal of Research and Practice, 2023
This study examined whether set-shifting ability for children with autism spectrum disorder without intellectual disability would be affected differentially by verbal or nonverbal feedback as the outcome of previous research tentatively suggests that verbal feedback may lead to slower set-shifting. Overall, 56 children participated (42 male; 14…
Descriptors: Autism Spectrum Disorders, Verbal Communication, Feedback (Response), Nonverbal Communication
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
Melhuish, Kathleen; White, Alexander; Strickland, Sharon K.; Wrightsman, Elizabeth – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Describing and measuring instructional quality of mathematics lessons is a common goal amongst mathematics education researchers. Such work takes several forms such as classifying and coding instructional moves and student activity or providing high-level rubric-based scores in relation to categories. In this work, we share an innovative mixed…
Descriptors: Mathematics Instruction, Educational Quality, Classification, Scoring Rubrics
Margarida César; Ricardo Machado – REDIMAT - Journal of Research in Mathematics Education, 2024
Culture shapes pupils' mathematical learning, their performances and life trajectories of participation (César, 2013a, 2013b). It also contributes to the senses they attribute to mathematical learning (Bakhtin, 1929/1981). Using collaborative work and interempowerment mechanisms facilitates knowledge appropriation (César, 2009). This is…
Descriptors: Mathematics Instruction, Native Language, Portuguese, Creoles
Bylinskaya, Natalia V. – International Dialogues on Education: Past and Present, 2020
The article presents research into the concept of "personality" in the categorical grid of the consciousness of primary and secondary school teachers. The data obtained demonstrate the presence of an orientation in the teachers' minds and activities towards the implementation of personality-oriented, humanistic models of learning. At the…
Descriptors: Classification, Psychology, Elementary School Teachers, Secondary School Teachers
Attali, Yigal; Arieli-Attali, Meirav – ETS Research Report Series, 2019
Learning progressions (LPs) have seen a growing interest in recent years due to their potential benefits in the development of formative assessments for classroom use. Using an LP as the backbone of an assessment can yield diagnostic classifications of students that can guide instruction and remediation. In operationalizing an LP, assessment items…
Descriptors: Classification, Mastery Learning, Learning Processes, Sequential Approach
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
Gresse Von Wangenheim, Christiane; Da Cruz Alves, Nathalia; Rauber, Marcelo F.; Hauck, Jean C. R.; Yeter, Ibrahim H. – Informatics in Education, 2022
Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…
Descriptors: Performance Based Assessment, Artificial Intelligence, Learning Processes, Scoring Rubrics
de Lange, Jan – Journal on Mathematics Education, 2021
I present my perspective on the design process in this article, arguing for a focus on student learning and "slow design" that stems from knowledge of mathematics and their support system in the learning process. I have a question about the design process academization and task design research direction. Numerous examples from my work at…
Descriptors: Learning Processes, Mathematics Instruction, Instructional Design, Task Analysis
Song, Yu; Lei, Shunwei; Hao, Tianyong; Lan, Zixin; Ding, Ying – Journal of Educational Computing Research, 2021
Due to benefits for teaching and learning, an increasing number of studies have focused on classroom dialogue and how to make it productive. Coding, in which the transcribed conversation is allocated to a set of features, is commonly employed to deal with the textual data arising from this dialogue. This is generally done manually and cannot…
Descriptors: Semantics, Classification, Classroom Communication, Dialogs (Language)
Saito, Daisuke; Kaieda, Shota; Washizaki, Hironori; Fukazawa, Yoshiaki – Journal of Information Technology Education: Innovations in Practice, 2020
Aim/Purpose: Although many computer science measures have been proposed, visualizing individual students' capabilities is difficult, as those measures often rely on specific tools and methods or are not graded. To solve these problems, we propose a rubric for measuring and visualizing the effects of learning computer programming for elementary…
Descriptors: Scoring Rubrics, Visualization, Learning Analytics, Computer Science Education
Wang, Cixiao; Fang, Ting; Miao, Rong – Journal of Computer Assisted Learning, 2018
In the increasing pervasiveness of today's digital society, mobile devices are changing the face of education. Students can interact with mobile devices in context-aware environment. This paper presents a mobile application based on expert system (Plant-E) for students to acquire knowledge about plant classification by answering decision-making…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handheld Devices
Tang, Hengjun; Seah, Wee Tiong; Zhang, Qiaoping; Zhang, Weizhong – ECNU Review of Education, 2021
Purpose: Given that prior research has confirmed that students' mathematics values significantly affect their mathematics learning, understanding how students' values form and change, especially during different learning stages, is an important topic. Design/Approach/Methods: This study administered a questionnaire to investigate the values of…
Descriptors: Factor Structure, Mathematics Education, Student Attitudes, High School Students