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Glerum, Jaap; Loyens, Sofie M. M.; Rikers, Remy M. J. P. – Interactive Learning Environments, 2020
The effectiveness of a mindset intervention in secondary vocational education and training was investigated. Students (n = 55) enrolled in a mathematics course participated in an online mindset intervention for a period of 10 weeks. Both pretest and posttest scores on mindset and mathematics results were compared with students who did not get a…
Descriptors: Electronic Learning, Student Attitudes, Intervention, Program Effectiveness
Riva, Elena; Freeman, Rebecca; Schrock, Lauren; Jelicic, Victoria; Özer, Cameron-Tosh; Caleb, Ruth – Higher Education Studies, 2020
Internationally and in the UK universities are facing a crisis of student wellbeing. In this context, it is important to research the impact of the teaching and learning environment and experiences, including the relationships between students and staff, on student wellbeing. While separate pieces of research on students' wellbeing have addressed…
Descriptors: Student Experience, Well Being, Student Centered Learning, Student Evaluation
Kroll, Aleksandra; Karakiewicz, Beata – International Journal of Language & Communication Disorders, 2020
Background: There is a wide agreement that family and friends of people with aphasia (PWA) can play a crucial role in the rehabilitation of interpersonal communication. Therefore, speech and language therapists (SLTs) should include family and friends in the process of therapy. However, little has been said about the role of caregivers of severely…
Descriptors: Caregiver Attitudes, Caregivers, Emotional Intelligence, Personality Traits
Terzopoulos, George; Satratzemi, Maya – Informatics in Education, 2020
In recent years, Artificial Intelligence (AI) has shown significant progress and its potential is growing. An application area of AI is Natural Language Processing (NLP). Voice assistants incorporate AI by using cloud computing and can communicate with the users in natural language. Voice assistants are easy to use and thus there are millions of…
Descriptors: Artificial Intelligence, Natural Language Processing, Assistive Technology, Technology Uses in Education
Annetta, Leonard; Lamb, Richard; Bressler, Denise M.; Vallett, David B. – International Journal of Game-Based Learning, 2020
The purpose of this study was to identify the underlying cognitive attributes used during the design and development of science-based serious educational games. Study methods rely on a modification of cognitive diagnostics, item response theory, and Bayesian estimation with traditional statistical techniques such as factor analysis and model fit…
Descriptors: Educational Games, Cognitive Processes, Artificial Intelligence, 21st Century Skills
Lin, Xue; Shen, Geoffrey Q. P. – Asia Pacific Education Review, 2020
Along with rapid globalization, the ability to adapt and excel in an unfamiliar or diverse cultural setting becomes increasingly important. To meet the challenges, universities all over the world are committed to fostering an environment for students to develop their cultural intelligence (CQ). However, besides exchange programs and intercultural…
Descriptors: College Students, Cultural Awareness, Intercultural Communication, Student Development
Akbar, Rahima; Al-Gharabally, Nada – International Journal of Higher Education, 2020
Praising is considered to have a positive effect on learners' motivations. Yet, what to praise and how to praise is an issue of controversy. The present study looks at the effect of praising ESL learners' writing efforts in English as opposed to evaluating their writing abilities in order to test Dweck (2007) theory of praising intelligence or…
Descriptors: Positive Reinforcement, Intelligence, Academic Achievement, Second Language Learning
Kumar, M. – Shanlax International Journal of Education, 2020
We live in a world that is changing faster than ever before and facing unparalleled challenges. In the current competitive situation where students are expected to perform multi roles with performance and effectiveness, it is highly needed to realize their right position and passionate intelligence towards the unseen complexities of life and…
Descriptors: Emotional Intelligence, High School Students, Gender Differences, Rural Urban Differences
Al-Khateeb, Akef Abdullah; Alshurman, Wael Mohammad; Al-Saree, Ihsan Igdifan Ali – Journal of Education and e-Learning Research, 2020
The study examined the differences in the emotional intelligence levels among hearing-impaired and visually impaired students in Mafraq Governorate, Jordan. The study sample consists of 198 students; it is divided into 144 hearing-impaired and 54 visually impaired students who are enrolled in centers, schools, and institutions of special education…
Descriptors: Emotional Intelligence, Hearing Impairments, Visual Impairments, Students with Disabilities
Zhen, Rui; Liu, Ru-De; Wang, Ming-Te; Ding, Yi; Jiang, Ronghuan; Fu, Xinchen; Sun, Yan – British Journal of Educational Psychology, 2020
Background: The dropout rate of Chinese elementary school students after 2007 rose again. Little research to date has identified individual differences in pathways of academic engagement to discern those at risk of disengagement and dropout from schools, as well as the longitudinal linkages between cognitive beliefs with academic engagement. Aims:…
Descriptors: Foreign Countries, At Risk Students, Dropouts, Intelligence
Dempsey, Lynn – Early Child Development and Care, 2020
The purpose of this pilot study was to explore whether exposing pre-readers to an unfamiliar event in a brief, play-based, session would enhance comprehension of a story based on that event. Twenty-four typically developing participants (9 males; 15 females), aged 30-51 months (M = 39.13, SD = 6.02) were randomly assigned to free-play and…
Descriptors: Prereading Experience, Play, Comprehension, Reading Aloud to Others
Büscher, Christian – For the Learning of Mathematics, 2020
New Artificial Intelligence methods hold the potential to transform qualitative research in mathematics education. This study introduces and uses the machine learning technology of simple neural networks to automatically analyse transcript data. This serves as the basis to reflect on the use of machine learning technology in order to uncover some…
Descriptors: Mathematics Education, Educational Research, Artificial Intelligence, Networks
Forrest, Kristy – Educational Philosophy and Theory, 2020
The student as consumer has emerged as a common motif and point of contestation in educational philosophy over the past two decades, as part of the critique of the neoliberal educational reform agenda that followed Lyotard's (1984) mapping of the postmodern condition. In addition, the consumer-orientated student has assumed a problematic presence…
Descriptors: Consumer Economics, Educational Philosophy, Neoliberalism, Educational Change
Wijayati, Dewie Tri; Kautsar, Achmad; Karwanto, Karwanto – International Journal of Higher Education, 2020
Female workers do not always get the same rights as their male colleagues. Many women are forced to dispel their desires to become structural career women because they are unable to compete with men. Therefore, it is necessary to have clear performance measurements to prove that female teachers also have good performance. The research was…
Descriptors: Junior High School Teachers, Job Performance, Emotional Intelligence, Job Satisfaction
Chen, Junjun; Guo, Wei – Educational Management Administration & Leadership, 2020
This paper reports on a study that examined the effect of school principals' emotional intelligence, and their instructional leadership, on improving teachers' instructional strategies. A sample of 534 primary teachers from 54 primary schools in China was approached and invited to respond to a questionnaire. Structural equation modelling…
Descriptors: Emotional Intelligence, Principals, Instructional Leadership, Educational Strategies

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