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Ramos-Sánchez, Carlos Pelayo; Kortekaas, Dianne; Van Biesen, Debbie; Vancampfort, Davy; Van Damme, Tine – Journal of Autism and Developmental Disorders, 2022
This study explored the association between intelligence and motor skills in children with ASD after controlling for Attention Deficit and Hyperactivity Disorder (ADHD) and the associations between motor impairment and intellectual disability (ID) in this population. In total, 120 children with ASD (3-16 years; 81.7% boys) completed a standardized…
Descriptors: Psychomotor Skills, Intelligence, Children, Autism
Jinkens, Kelsey – ProQuest LLC, 2022
Emotions are ubiquitous in education. However, most discussion of emotional learning and development is focused on the student. Yet, teachers are human and experience strong emotions in their work. This research sought to look at the emotional skill sets of emotionally intelligent educators. The framework for emotional skill sets consisted of…
Descriptors: Psychological Patterns, Emotional Development, Emotional Intelligence, Cognitive Processes
Bradford Diaz, Morgan J. – ProQuest LLC, 2022
The purpose of this study was to explore how emotions and identity development create pathways for White deans of students to understand their responsibility in fostering a campus community that is equitable for all. From the frameworks of emotional intelligence and White identity development, I illustrated the nature of the varying, often…
Descriptors: Student Personnel Workers, Whites, Status, Psychological Patterns
Li, Yuheng; Rakovic, Mladen; Poh, Boon Xin; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2022
Learning objectives, especially those well defined by applying Bloom's taxonomy for Cognitive Objectives, have been widely recognized as important in various teaching and learning practices. However, many educators have difficulties developing learning objectives appropriate to the levels in Bloom's taxonomy, as they need to consider the…
Descriptors: Educational Objectives, Taxonomy, Universities, Cognitive Ability
Oxendine, Symphony D.; Robinson, Kerry K.; Parker, Michele A. – To Improve the Academy, 2022
This article outlines an appreciative inquiry (AI) into a departmental professional development process and describes the resulting implementation of an appreciative peer evaluation meeting as one part of the new professional development process. Using AI, a departmental faculty development committee sought to re-envision the professional…
Descriptors: Departments, Faculty Development, Teacher Evaluation, Peer Evaluation
Ben Soussia, Amal; Labba, Chahrazed; Roussanaly, Azim; Boyer, Anne – International Journal of Information and Learning Technology, 2022
Purpose: The goal is to assess performance prediction systems (PPS) that are used to assist at-risk learners. Design/methodology/approach: The authors propose time-dependent metrics including earliness and stability. The authors investigate the relationships between the various temporal metrics and the precision metrics in order to identify the…
Descriptors: Performance, Prediction, Student Evaluation, At Risk Students
Al Dhaheri, Ali – Journal for Multicultural Education, 2022
Purpose: The purpose of this study is to investigate the relationships between cultural intelligence (CQ) and both leadership style (MLQ) and leadership adaptability (LA), seeking to understand whether leaders with higher CQ will more frequently practise an adaptive and transformational leadership. Design/methodology/approach: Respondents are 167…
Descriptors: Cultural Awareness, Intelligence, Leadership Styles, Leadership Effectiveness
Watkins, Marley W.; Canivez, Gary L. – School Psychology Review, 2022
IQ tests provide numerous scores, but valid interpretation of those scores is dependent on how precisely each score reflects its intended construct and whether it provides unique information independent of other constructs. Thus, IQ scores must be evaluated for their reliability and dimensionality to determine their psychometric utility. As a…
Descriptors: Children, Intelligence Tests, Scores, Psychometrics
Chanaa, Abdessamad; El Faddouli, Nour-eddine – International Journal of Information and Communication Technology Education, 2022
Massive open online courses (MOOCs) have evolved rapidly in recent years due to their open and massive nature. However, MOOCs suffer from a high dropout rate, since learners struggle to stay cognitively and emotionally engaged. Learner feedback is an excellent way to understand learner behaviour and model early decision making. In the presented…
Descriptors: MOOCs, Student Attitudes, Data Analysis, Electronic Learning
Mead, Alan D.; Zhou, Chenxuan – Journal of Applied Testing Technology, 2022
This study fit a Naïve Bayesian classifier to the words of exam items to predict the Bloom's taxonomy level of the items. We addressed five research questions, showing that reasonably good prediction of Bloom's level was possible, but accuracy varies across levels. In our study, performance for Level 2 was poor (Level 2 items were misclassified…
Descriptors: Artificial Intelligence, Prediction, Taxonomy, Natural Language Processing
Liu, Bowen; Xing, Wanli; Zeng, Yifang; Wu, Yonghe – British Journal of Educational Technology, 2022
Massively open online courses (MOOCs) offer learners opportunities for self-improvement and knowledge development. Linking cognitive processes and learning outcomes is helpful in supporting students learning with the help of MOOCs. Based on the cognitive presence of the Community of Inquiry framework, this study quantified the effect of cognitive…
Descriptors: Cognitive Processes, Outcomes of Education, Online Courses, Communities of Practice
Jiang, Shiyan; Nocera, Amato; Tatar, Cansu; Yoder, Michael Miller; Chao, Jie; Wiedemann, Kenia; Finzer, William; Rosé, Carolyn P. – British Journal of Educational Technology, 2022
To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as guidance for educators to create accessible and engaging Artificial Intelligence (AI) learning experiences for K-12 students. These efforts revealed a significant need to prepare youth to gain a fundamental understanding of how intelligence is created,…
Descriptors: High School Students, Data, Artificial Intelligence, Mathematical Models
Neo, Mai – Turkish Online Journal of Distance Education, 2022
The COVID-19 pandemic has accelerated the educational landscape of institutions of higher education, which were predominantly face-to-face. In Malaysia, many universities converted their courses into online courses to keep up with the challenges of working from home during the pandemic, using web technologies and blended learning approaches.…
Descriptors: Foreign Countries, Student Attitudes, Artificial Intelligence, Computer Mediated Communication
Phusee-orn, Songsak; Pongteerawut, Sasipat – Higher Education Studies, 2022
The objectives of this study are to study the relation of futuristic thinking and to create the prediction equation of the 9th graders' relation of futuristic thinking. The subjects of this study are 860, 9th graders, studying in their second term in 2019 in Srisaket province, Thailand. The sujects of this study are from 12 schools from…
Descriptors: Grade 9, High School Students, Futures (of Society), Thinking Skills
Uysal, Derya; Uysal, Alper Kürsat – Advanced Education, 2022
This study aims to place EFL learners along an affective continuum via machine learning methods and present a new dataset about affective characteristics of EFL learners. In line with the purposes, written self-reports of 475 students from 5 different faculties in 3 universities in Turkey were collected and manually assigned by the researchers to…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Artificial Intelligence

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