Publication Date
| In 2026 | 0 |
| Since 2025 | 7 |
| Since 2022 (last 5 years) | 12 |
| Since 2017 (last 10 years) | 24 |
| Since 2007 (last 20 years) | 38 |
Descriptor
| Cognitive Processes | 38 |
| Learner Engagement | 38 |
| Learning Motivation | 38 |
| Foreign Countries | 13 |
| Difficulty Level | 10 |
| Student Attitudes | 9 |
| Academic Achievement | 8 |
| Instructional Design | 8 |
| Second Language Learning | 8 |
| Electronic Learning | 7 |
| Teaching Methods | 7 |
| More ▼ | |
Source
Author
| Abobaker, Reima | 1 |
| Adil Boughida | 1 |
| Allan, David | 1 |
| Amy Chen Kulesa | 1 |
| Andres, Hayward | 1 |
| Andrew Kingsford-Smith | 1 |
| Bantawtook, Pruksapan | 1 |
| Bañales, G. | 1 |
| Bekar, Mira | 1 |
| Boudadi, Nadia Azzouz | 1 |
| Cai, Jinfa, Ed. | 1 |
| More ▼ | |
Publication Type
Education Level
Audience
| Administrators | 1 |
| Teachers | 1 |
Location
| China | 3 |
| Australia | 2 |
| Germany | 2 |
| Japan | 2 |
| Spain | 2 |
| United Kingdom | 2 |
| United Kingdom (England) | 2 |
| United States | 2 |
| Asia | 1 |
| Brazil | 1 |
| Connecticut | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jijia Yang; Yan Chen; Yunsong Wang – European Journal of Education, 2025
Critical thinking (CT) is widely recognised as a core competency in 21st-century higher education, particularly within English as a Foreign Language (EFL) learning contexts. This study examines the extent to which motivation and engagement contribute to the development of CT skills among Chinese EFL university students. A sample of 626…
Descriptors: Learning Motivation, Learner Engagement, Critical Thinking, Second Language Learning
Cognitive Load Theory and Its Relationships with Motivation: A Self-Determination Theory Perspective
Paul Evans; Maarten Vansteenkiste; Philip Parker; Andrew Kingsford-Smith; Sijing Zhou – Educational Psychology Review, 2024
Although cognitive load theory research has studied factors associated with motivation, these literatures have primarily been developed in isolation from each other. In this contribution, we aimed to advance both fields by examining the effects of instructional strategies on learners' experience of cognitive load, motivation, engagement, and…
Descriptors: Cognitive Processes, Difficulty Level, Learning Motivation, Self Determination
Efren de la Mora Velasco; Matthew Moreno – Educational Technology Research and Development, 2025
The measurable effects of music in online learning remains a topic of extensive debate, largely due to inconsistent findings within existing literature. Many of these inconclusive results stem from research methodologies that focus on singular perspectives, often overlooking a balance between cognitive challenges and emotional benefits of…
Descriptors: Music, Acoustics, Electronic Learning, Cognitive Processes
Yuyu Dai; Xuebu Hu – Education and Information Technologies, 2025
Online learning as an emerging learning method has a significant impact on education, which cannot be ignored. This article explores the relationship between engagement (including cognition, behavior and emotion), motivation, environment, and college students' concentration in online learning during the COVID-19 pandemic. A total of 889 college…
Descriptors: Foreign Countries, College Students, Attention, Electronic Learning
Zhang, Yongqiang; Yang, Xinrong; Sun, Xiaojian; Kaiser, Gabriele – ZDM: Mathematics Education, 2023
In the present longitudinal study, cross-lagged path models were applied to investigate the potential reciprocal relationships between senior secondary school students' motivation and their cognitive engagement, using data from 623 Chinese senior secondary school students across 2 years. The 623 students completed self-reported measures of…
Descriptors: Foreign Countries, Secondary School Students, Mathematics Instruction, Learning Processes
Minkai Wang; Di Zhang; Jingdong Zhu; Hanjie Gu – Journal of Educational Computing Research, 2025
Scientific knowledge is often abstract and challenging, making it difficult for students to apply these concepts effectively. Digital game-based learning (DGBL) offers an engaging and immersive approach, but the fixed resources and predetermined learning paths in most games limit its ability to adapt to individual learners' needs. Large language…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Academic Achievement
Jiawen Liu; Rustam Shadiev; Mei Cao – Education and Information Technologies, 2025
Integrating digital games into learning about digital citizenship has garnered significant attention. While digital game-based learning has the potential to enhance learners' academic performance, engagement, and motivation, these games often focus on specific aspects of digital citizenship education and lack systematic design approaches.…
Descriptors: Computer Games, Educational Games, Game Based Learning, Citizenship Education
Amy Chen Kulesa; Marisa Mission; Michelle Croft; Mary K. Wells – Bellwether, 2025
Generative artificial intelligence (GenAI) is a tool that promises efficiency and customization for teachers and students alike but also carries risks of dependency and detachment. This report aims to explore new questions for educators, system leaders, and tool developers such as how much cognitive effort AI should alleviate, how much it should…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Change, Cognitive Processes
Med Nadjib Kouahla; Adil Boughida; Imed Chebata; Zohra Mehenaoui; Yacine Lafifi – Interactive Learning Environments, 2023
In e-learning environments, several activities are offered to learners, including learning and assessment activities. During these activities, the learner may encounter difficulties, such as blocking situations or lack of motivation. This paper presents a new approach to detect these difficulties based on the learner's emotional states and…
Descriptors: Psychological Patterns, Cognitive Processes, Electronic Learning, Emotional Response
Liu Wang; GuangTao Xu – Education and Information Technologies, 2024
The self-explanation strategy motivates learners to actively select and integrate information, thereby fostering meaningful learning. To generate comprehensive and insightful explanations, learners often require support. However, there is a limited understanding of the optimal form of self-explanation that effectively assists learners in applying…
Descriptors: Cues, Learning Motivation, Self Concept, Epistemology
Zhanyu Wang; Xiang Li; Zhaoyang Gao – European Journal of Psychology of Education, 2025
Despite the increasing recognition of English communication skills as essential for global participation, many students in non-native English-speaking countries experience reluctance to communicate in English, particularly in junior high school settings. This research investigates the effect of growth mindset on junior high school students'…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Usage
Yu, Zhonggen; Sukjairungwattana, Paisan; Xu, Wei – International Journal of Adult Education and Technology, 2022
Serious games have been deemed as an effective tool to engage students with various needs and expectations. Although serious games have emerged as an important assistant in education, sparse studies have systematically reviewed the related studies in the fields of bibliographic knowledge structure and their effects. Through CiteSpace, VOSviewer,…
Descriptors: Educational Games, Outcomes of Education, Learner Engagement, Learning Motivation
Yun, Heoncheol; Park, Sanghoon; Kim, Dongho; Jung, Eulho; Yoon, Meehyun – Australasian Journal of Educational Technology, 2020
Motivational regulation strategies have been used as active forms of promoting motivation in online and classroom learning. Based on the motivational regulation model combining both contextual and individual factors, this study examined how students' academic levels (undergraduate vs. graduate) and the type of course delivery mode (online vs.…
Descriptors: Delivery Systems, Learner Engagement, Electronic Learning, Graduate Students
Shroff, Ronnie H.; Ting, Fridolin S. T.; Lam, Wai Hung; Cecot, Tomasz; Yang, Jian; Chan, Lap Ki – International Journal of Educational Methodology, 2021
This study describes the development and validation of a psychometrically-sound instrument, the Active Learning Strategies Inventory (ALSI), designed to measure learners' perceptions of their active learning strategies within an active learning context. Active learning encompasses a broad range of pedagogical practices and instructional methods…
Descriptors: Foreign Countries, Test Construction, Construct Validity, Test Reliability
Andres, Hayward – Journal of International Education in Business, 2020
Purpose: The purpose of this study is to investigate a theoretical framework that examines and extends understanding of the role of cognitive/information processing, learning motivation and learning task behaviors in facilitating student engagement, course persistence and academic performance. Design/methodology/approach: Student subjects were…
Descriptors: Active Learning, Self Efficacy, Learning Motivation, Academic Achievement

Peer reviewed
Direct link
