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Marzuki; Utami Widiati; Diyenti Rusdin; Darwin; Inda Indrawati – Cogent Education, 2023
The primary objective of this study was to examine the range of available Artificial Intelligence (AI) writing tools and assess their influence on student writing, particularly in terms of content and organization, as perceived by English as a Foreign Language (EFL) teachers. Utilizing a qualitative approach, the research was constructed within a…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Writing Instruction
Sri Gunawan; Chich-Jen Shieh – Contemporary Educational Technology, 2023
This research investigates the effect of multiple intelligences (MIs) teaching strategy with technology-enriched environments on business administration students' self-efficacy, confidence, and learning outcomes. The study involved 276 participants from a university's business administration department, undergoing an international business course.…
Descriptors: Multiple Intelligences, Teaching Methods, Technology Integration, Educational Technology
Amy Adair; Ellie Segan; Janice Gobert; Michael Sao Pedro – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards, such as the Next Generation Science Standards (NGSS). However, students often struggle with these two intersecting practices, particularly when developing mathematical models about scientific phenomena. Formative…
Descriptors: Artificial Intelligence, Mathematical Models, Science Process Skills, Inquiry
Bander Ayed Allogmany – ProQuest LLC, 2023
Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…
Descriptors: Individualized Instruction, Learning Management Systems, Artificial Intelligence, Technology Uses in Education
Abbi-Storm McCann; Lindsay Tan; Kate Thornton – Frontiers: The Interdisciplinary Journal of Study Abroad, 2023
This research assessed the impact of study abroad and classroom-based cultural experiences on traditional college students' cultural intelligence (CQ) levels, as measured through the standardized Cultural Intelligence Survey. Data from students participating in cultural experiences were collected using the Cultural Intelligence Scale (CQS). The…
Descriptors: Cultural Awareness, Study Abroad, Educational Experience, College Students
Nejdet Karadag – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Natural Language Processing, Grading
Järvelä, Sanna; Gaševic, Dragan; Seppänen, Tapio; Pechenizkiy, Mykola; Kirschner, Paul A. – British Journal of Educational Technology, 2020
Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…
Descriptors: Artificial Intelligence, Man Machine Systems, Affective Behavior, Cognitive Processes
Yildiz, Muhammed Berke; Börekci, Caner – Journal of Educational Technology and Online Learning, 2020
Education systems produce a large number of valuable data for all stakeholders. The processing of these educational data and making studies on the future of education based on the data reveal highly meaningful results. In this study, an insight was tried to be developed on the educational data collected from ninth-grade students by using data…
Descriptors: Grade Prediction, Academic Achievement, Artificial Intelligence, Grade 9
Jack, D. B.; Oguntayo, R. – Journal on Educational Psychology, 2020
Evidence from literature showed that lack of emotional and social intelligence is one of the reasons for disruptive behaviours among adolescents. This study investigated the effect of training on the emotional and social intelligence of secondary school students in Jos, Nigeria. The study involved 26 secondary school students comprising of 10…
Descriptors: Social Development, Emotional Development, Emotional Intelligence, Secondary School Students
Charitopoulos, Angelos; Rangoussi, Maria; Koulouriotis, Dimitrios – International Journal of Artificial Intelligence in Education, 2020
The aim of this paper is to survey recent research publications that use Soft Computing methods to answer education-related problems based on the analysis of educational data 'mined' mainly from interactive/e-learning systems. Such systems are known to generate and store large volumes of data that can be exploited to assess the learner, the system…
Descriptors: Data Collection, Learning Analytics, Educational Research, Artificial Intelligence
Kirby, Philip – Oxford Review of Education, 2020
The 'dyslexia debate' is resilient. In the media, a key component of the debate is the notion that dyslexia does not exist, popularised by a series of vociferous commentators. For them, dyslexia is an invention of overly-concerned parents, supported by a clique of private educational psychologists willing to offer a diagnosis -- for a fee -- even…
Descriptors: Dyslexia, Educational History, Educational Change, Learning Problems
McClelland, James L. – First Language, 2020
Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…
Descriptors: Models, Language Processing, Artificial Intelligence, Language Usage
Azid, Nurulwahida; Md-Ali, Ruzlan – South African Journal of Education, 2020
The study reported on here aimed to examine the effectiveness of the successful intelligence interactive module (SIIM) that employs thinking skills using the successful intelligence theory. This was an empirical study that used mixed method analysis. The rationale for the development of this interactive module was to increase the analytical,…
Descriptors: Foreign Countries, Undergraduate Students, Thinking Skills, Creative Thinking
Maharani, Rizqona; Marsigit, Marsigit; Wijaya, Ariyadi – Journal of Educational Research, 2020
This study examined the effect of collaborative learning with a scientific approach (SA) on the learning achievement in mathematics viewed from the students' multiple intelligences. This study compared two types of collaborative learning models, Three Steps Interview (TSI), and Think Pair Share (TPS). The participants of this study were grade 8…
Descriptors: Cooperative Learning, Multiple Intelligences, Mathematics Achievement, Teaching Methods
Bak, Olga; Lesniak, Marcin Maciej – Educational Psychology, 2020
This study investigated the effectiveness of process-related praise, applied after a series of failures, as compared to trait-related praise and no feedback. Reaction to praise following social-skills tasks was compared to that following intellectual-skills tasks. Affect and self-esteem in the domains of intelligence and social sensitivity were…
Descriptors: Positive Reinforcement, Feedback (Response), Failure, Interpersonal Competence

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