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Bilal Khallel Younis – Online Learning, 2024
This study aims to investigate students' self-regulation skills, confidence to learn online, and perception of satisfaction and usefulness of online classes in three learning environments that integrates ChatGPT. In this study, a quasi-experiential design was used to compare three online learning environments that integrate ChatGPT (independent,…
Descriptors: Self Management, Self Esteem, Electronic Learning, Student Attitudes
David E. Houchins; Richard G. Lambert; Christopher Henrich; Joseph Calvin Gagnon – Behavioral Disorders, 2024
A major challenge for juvenile correctional facilities (JCF) is providing literacy instruction to a transitory student population with a wide range of literacy abilities. The purpose of this study was to identify unique literacy profiles of students in long-term JCF taking into consideration their reading abilities, language abilities,…
Descriptors: Delinquency, Institutionalized Persons, Correctional Institutions, Literacy Education
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Barbosa, Poliana G.; Jiang, Zixia; Nicoladis, Elena – International Journal of Bilingual Education and Bilingualism, 2019
Previous studies showed that bilinguals tend to score lower on some language tests than monolinguals in each of their languages and outperform monolinguals on some cognitive tasks. We investigated whether short-term and working memory capacities that underlie language abilities differ between sequential bilinguals and monolinguals. We tested…
Descriptors: Short Term Memory, Predictor Variables, Receptive Language, Vocabulary Development
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Kant, Ravi – Journal of Education and Learning (EduLearn), 2019
Nature bestowed humans with emotions. Emotions are significant predictors of anyone's success. Now Emotional Intelligence is an established phenomenon is under eye of researcher and psychologist. The objectives of this study were (i) to explore the level of Emotional Intelligence of University's students. (ii) to find out the difference between…
Descriptors: Emotional Intelligence, College Students, Foreign Countries, Gender Differences
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Tajudeen, Opoola Bolanle; Aare, Kadiri Razak – International Journal of Education and Literacy Studies, 2019
Nigeria in the last three decades has had to grapple with the perennial problem of unemployment. This is not uncommon among developing nations considering the legacy bequeathed by the colonial masters. The widespread exploitation and misadventure in the African continent, defective political structure and the political elites that continued the…
Descriptors: Unemployment, Foreign Countries, Youth, Oral Tradition
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How, Meng-Leong; Hung, Wei Loong David – Education Sciences, 2019
Educational stakeholders would be better informed if they could use their students' formative assessments results and personal background attributes to predict the conditions for achieving favorable learning outcomes, and conversely, to gain awareness of the "at-risk" signals to prevent unfavorable or worst-case scenarios from happening.…
Descriptors: Artificial Intelligence, Bayesian Statistics, Models, Data Use
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Chatzara, Elena; Kotsakis, Rigas; Tsipas, Nikolaos; Vrysis, Lazaros; Dimoulas, Charalampos – Education Sciences, 2019
Art and technology have always been very tightly intertwined, presenting strong influences on each other. On the other hand, technological evolution led to today's digital media landscape, elaborating mediated communication tools, thus providing new creative means of expression (i.e., new-media art). Rich-media interaction can expedite the whole…
Descriptors: Blended Learning, Interdisciplinary Approach, Multimedia Materials, Art
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Kitto, Kirsty; Knight, Simon – British Journal of Educational Technology, 2019
Artificial intelligence and data analysis (AIDA) are increasingly entering the field of education. Within this context, the subfield of learning analytics (LA) has, since its inception, had a strong emphasis upon ethics, with numerous checklists and frameworks proposed to ensure that student privacy is respected and potential harms avoided. Here,…
Descriptors: Ethics, Learning Analytics, Artificial Intelligence, Data Analysis
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Ferguson, Ashley M.; Roche, Jennifer M.; Arnold, Hayley S. – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Persons who stutter (PWS) may be susceptible to discrimination because of negative judgments made by listeners. The current study sought to determine how the cognitive system's explicit (i.e., conscious) and implicit (i.e., nonconscious) biases about PWS are impacted by self-disclosure. Method: A computer mouse-tracking paradigm was used…
Descriptors: Stuttering, Social Bias, Self Disclosure (Individuals), Social Attitudes
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Luoto, Severi; Jonason, Peter K. – Creativity Research Journal, 2019
Evolution causes biological and cultural diversity through adaptation to environmental conditions. This idea forms the cornerstone of recent research on the ecological origins of innovation and creativity, advanced prominently by Van de Vliert and Murray (2018) as the "ecotheory of creativity." Van de Vliert and Murray propose that heat…
Descriptors: Intelligence, Creativity, Evolution, Innovation
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Waller, Annalu – International Journal of Language & Communication Disorders, 2019
Augmentative and alternative communication (AAC) has been transformed by the social media revolution made possible by the emergence of mobile technology. The cumbersome dedicated devices of the 1970s have evolved into a burgeoning AAC app industry. However, the limited use and abandonment of AAC technologies remains high. Unlocking the untapped…
Descriptors: Augmentative and Alternative Communication, Handheld Devices, Design, Interdisciplinary Approach
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Dombrowski, Stefan C.; McGill, Ryan J.; Canivez, Gary L.; Peterson, Christina H. – Journal of Psychoeducational Assessment, 2019
When the Differential Ability Scales--Second Edition (DAS-II) was developed, the instrument's content, structure, and theoretical orientation were amended. Despite these changes, the "Technical Handbook" did not report results from exploratory factor analytic investigations, and confirmatory factor analyses were implemented using…
Descriptors: Cognitive Tests, Cognitive Ability, Factor Structure, Young Children
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Maamari, Bassem E.; Majdalani, Joelle F. – International Journal of Educational Management, 2019
Purpose: The purpose of this paper is to answer the basic research question "Do highly emotional intelligent teachers increase student's satisfaction in the universities?" Design/methodology/approach: The paper is a quantitative study using self-reporting questionnaires applied on 283 students and 10 faculty members. Findings: The paper…
Descriptors: Emotional Intelligence, Teacher Student Relationship, Student Satisfaction, Foreign Countries
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Hao, Jiangang; Ho, Tin Kam – Journal of Educational and Behavioral Statistics, 2019
Machine learning is a popular topic in data analysis and modeling. Many different machine learning algorithms have been developed and implemented in a variety of programming languages over the past 20 years. In this article, we first provide an overview of machine learning and clarify its difference from statistical inference. Then, we review…
Descriptors: Artificial Intelligence, Statistical Inference, Data Analysis, Programming Languages
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Ullmann, Thomas Daniel – International Journal of Artificial Intelligence in Education, 2019
Reflective writing is an important educational practice to train reflective thinking. Currently, researchers must manually analyze these writings, limiting practice and research because the analysis is time and resource consuming. This study evaluates whether machine learning can be used to automate this manual analysis. The study investigates…
Descriptors: Reflection, Writing (Composition), Writing Evaluation, Automation
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