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Yew-Jin Lee; Dongsheng Wan – Educational Studies, 2024
Educators have long questioned why some students can experience achievement more easily in some school subjects/curriculum, but not in others. We argue that learners cannot ignore navigating two key features inherent within every curriculum--its cognitive demands as well as its opportunities for access to knowledge that are the twin foci of this…
Descriptors: Foreign Countries, Academic Achievement, Cognitive Processes, Difficulty Level
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
Tingzhi Han; Ling Huang; Longfei Hao – Asia-Pacific Education Researcher, 2024
This mixed methods study investigated the change types and the underlying mechanisms of Chinese undergraduates' deep learning approach at a research-oriented university in eastern China. In Study 1, the deep learning approach of 273 freshmen was assessed using R-SPQ-2F at the beginning and end of a semester. The changes were categorized into three…
Descriptors: Learning Trajectories, Learning Processes, College Freshmen, Foreign Countries
Shu-Ling Wu; Takako Nunome; Jun Wang – Second Language Research, 2024
As Chinese shows both satellite- and verb-framed properties (Slobin, 2004; Talmy, 2012, 2016), it provides a unique lens through which to observe the extent of first-language (L1) typological influence in second language (L2) acquisition of motion expressions. This study has dual purposes. First, it extends Wu's (2016) investigation on motion…
Descriptors: Contrastive Linguistics, Second Language Learning, Second Language Instruction, Native Language
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)
Qin, Fen; Li, Kai; Yan, Jianyuan – British Journal of Educational Technology, 2020
Artificial Intelligence (AI) has penetrated the field of education. Trust has long been regarded as a driver for the acceptance of technology. Netnography and interviews were used to investigate trust in AI-based educational systems from the perspective of users. We identified the factors influencing trust in AI-based educational systems and…
Descriptors: Trust (Psychology), Artificial Intelligence, Classification, Context Effect
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
Ning, Ruochen – Journal of Multilingual and Multicultural Development, 2022
Social networks have been investigated as an important factor to understand social and language innovations for decades. Most researchers focus on one-language-dominated societies when studying social networks' influence on language practice while studies on bilingual societies remain scarce. In this study, we examine how Chinese graduate students…
Descriptors: Graduate Students, Student Attitudes, Social Networks, Asians
Wang, Ying – SAGE Open, 2021
This article focuses on authenticity of second language identity which has been at issue. Previous research of the authenticity of second language identity has revealed that second language identity may be inauthentic due to the impact from social context and the individual's competence and desires. The discussion in this article aims at exploring…
Descriptors: Self Concept, Second Language Learning, Second Language Instruction, Sociocultural Patterns
Ai, Bin – Changing English: Studies in Culture and Education, 2016
In this paper, I narrate highlights of my long process of learning and teaching English as a foreign language in mainland China and Australia, presenting a picture of the practices of learning and teaching English in mainland China from the bottom up. Over the past 50 years, English learners in mainland China, as Gao Yihong has written, have…
Descriptors: Personal Narratives, Second Language Learning, Second Language Instruction, English (Second Language)
Liu, Jun; Sha, Sha; Zheng, Qinghua; Zhang, Wei – International Journal of Distance Education Technologies, 2012
Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…
Descriptors: Foreign Countries, Knowledge Level, Difficulty Level, Educational Technology