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Jones, Michael N. – Grantee Submission, 2018
Abstraction is a core principle of Distributional Semantic Models (DSMs) that learn semantic representations for words by applying dimensional reduction to statistical redundancies in language. Although the posited learning mechanisms vary widely, virtually all DSMs are prototype models in that they create a single abstract representation of a…
Descriptors: Abstract Reasoning, Semantics, Memory, Learning Processes
Papanthymou, Anastasia; Darra, Maria – Higher Education Studies, 2022
The purpose of this study is to investigate the conceptual content of the term "quality" in higher education, as it emerges from the descriptions and discussions of authors, researchers, and experts in 22 scientific publications. The analysis of the qualitative data is based on the methodology of grounded theory. From the analysis, 21…
Descriptors: Educational Quality, Higher Education, Definitions, Classification
Balyan, Renu; Arner, Tracy; Taylor, Karen; Shin, Jinnie; Banawan, Michelle; Leite, Walter L.; McNamara, Danielle S. – International Educational Data Mining Society, 2022
The National Council of Teachers of Mathematics (NCTM) has been emphasizing the importance of teachers' pedagogical communication as part of mathematical teaching and learning for decades. Specifically, NCTM has provided guidance on how teachers can foster mathematical communication that positively impacts student learning. A teacher may have…
Descriptors: Tutoring, Guidelines, Mathematics Instruction, Computer Assisted Instruction
Mao, Ye; Shi, Yang; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2021
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…
Descriptors: Programming, Computer Science Education, Learning Processes, Learning Analytics
Yuxin, Shi; Wijana, I. Dewa Putu; Mastoyo, Y. Tri; Sutami, Hermina – Journal of Education and Learning (EduLearn), 2019
Reduplication as a word-formation process in Mandarin, which is one of the most difficult knowledge to comprehend for scholar and student. Theoretically this research offers an approach that is different from what has been made by previous researchers. Using the M.D.S Simatupang free context approach this research contrasts the reduplicative forms…
Descriptors: Mandarin Chinese, Form Classes (Languages), Classification, Morphology (Languages)
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
Topping, Keith – Education Sciences, 2021
The present paper offers a definition of peer assessment and then reviews the major syntheses on its effectiveness. However, the main part of this paper is preoccupied with how to do PA successfully. A typology of 44 elements explains the differences between the many types of peer assessment. Then a theoretical model outlines some of the processes…
Descriptors: Peer Evaluation, Definitions, Program Effectiveness, Models
Jarecki, Jana B.; Meder, Björn; Nelson, Jonathan D. – Cognitive Science, 2018
Humans excel in categorization. Yet from a computational standpoint, learning a novel probabilistic classification task involves severe computational challenges. The present paper investigates one way to address these challenges: assuming class-conditional independence of features. This feature independence assumption simplifies the inference…
Descriptors: Classification, Conditioning, Inferences, Novelty (Stimulus Dimension)
Essex, Jane; Haxton, Katherine – International Journal of Science Education, Part B: Communication and Public Engagement, 2018
A STEM (science, technology, engineering and mathematics) analysis project undertaken in the context of a historic visitor site is described. The project offered different types of opportunity for scientific working, and involved four distinct groups of participants. Two distinguishing features of the different groups of participants were their…
Descriptors: Foreign Countries, STEM Education, Learner Engagement, Social Capital
Hamdani, Salma Almira; Prima, Eka Cahya; Agustin, Rika Rafikah; Feranie, Selly; Sugiana, Ahmad – Journal of Science Learning, 2022
The advancement in science and technology in the 21st Century necessitates improving critical thinking skills in students. Implementing digital technology such as interactive multimedia in the learning process can encourage quality learning and teaching. This study aims to create Android-based interactive multimedia that will help students improve…
Descriptors: Critical Thinking, Thinking Skills, Multimedia Instruction, Learning Processes
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
Li, Kam Cheong; Wong, Billy Tak-Ming – Australasian Journal of Educational Technology, 2021
This article presents a review of the literature on smart learning in order to provide a comprehensive overview of its latest developments in research and practice. The review covered 90 studies published from 2010 to 2019, which were collected from three publication databases, namely Web of Science, Scopus and ProQuest. They were analysed for the…
Descriptors: Educational Technology, Teaching Methods, Learning Processes, Databases
Wampfler, Rafael; Emch, Andreas; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2020
Front camera data from tablets used in educational settings offer valuable clues to student behavior, attention, and affective state. Due to the camera's angle of view, the face of the student is partially occluded and skewed. This hinders the ability of experts to adequately capture the learning process and student states. In this paper, we…
Descriptors: Photography, Handheld Devices, Student Behavior, Affective Behavior
Mbaye, Baba – International Association for Development of the Information Society, 2018
The significant amount of information available on the web has led to difficulties for the learner to find useful information and relevant resources to carry out their training. The recommender systems have achieved significant success in the area of e-commerce, they still have difficulties in formulating relevant recommendations on e-learning…
Descriptors: Information Systems, Electronic Learning, Referral, Information Sources

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