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Jyoti Sharma; B. Biswal; Pankaj Tyagi; Shobha Bagai – Gifted and Talented International, 2024
Academically gifted students or high potential learners don't feel challenged in regular classrooms. Teachers in schools are also not quipped with pedagogical interventions to meet the advanced learning needs of gifted students. Mentoring is considered an effective method to guide, motivate and optimize learning abilities of gifted students. The…
Descriptors: Mentors, Academically Gifted, Program Development, Science Education
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Emmanuel Senior Tenakwah; Gideon Boadu; Emmanuel Junior Tenakwah; Michael Parzakonis; Mark Brady; Penny Kansiime; Shannon Said; Sarah Eyaa; Raymond Kwojori Ayilu; Ciprian Radavoi; Alan Berman – Knowledge Management & E-Learning, 2025
The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT's task responses to provide insights into its language proficiency, critical analysis…
Descriptors: Higher Education, Evaluation Methods, Artificial Intelligence, Computer Software
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Yusuf Oc; Hela Hassen – Marketing Education Review, 2025
Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…
Descriptors: Higher Education, Multiple Choice Tests, Computer Assisted Testing, Electronic Learning
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Xue Zhou; Lilian Schofield – Journal of Learning Development in Higher Education, 2024
This paper proposes a conceptual framework for integrating Artificial Intelligence (AI) into the curriculum. It builds on previous conceptual papers, which provided initial suggestions on integrating AI into teaching. The approach to developing the conceptual framework includes drawing on existing frameworks, AI literature, and case studies from…
Descriptors: Artificial Intelligence, Technological Literacy, Technology Integration, Curriculum Development
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Wenyi Lu; Joseph Griffin; Troy D. Sadler; James Laffey; Sean P. Goggins – Journal of Learning Analytics, 2025
Game-based learning (GBL) is increasingly recognized as an effective tool for teaching diverse skills, particularly in science education, due to its interactive, engaging, and motivational qualities, along with timely assessments and intelligent feedback. However, more empirical studies are needed to facilitate its wider application in school…
Descriptors: Game Based Learning, Predictor Variables, Evaluation Methods, Educational Games
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Siti Nor Amalina Ahmad Tajuddin; Khairul Azam Bahari; Fatima Mohamed Al-Majdhoub; Nia Kurnia Maliki; Shanthi Balraj Baboo – Journal of Media Literacy Education, 2024
The emergence of digitalisation focusing on media literacy is becoming more prevalent and thus forcing educators to embrace innovations as our digital natives are now shifting their attention to digital technologies. This study aimed to develop and measure an assessment instrument for media literacy focusing on knowledge, skills, and values for…
Descriptors: Digital Literacy, Media Literacy, Student Evaluation, Intelligence
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Gregory J. Crowther; Merrill D. Funk; Kelly M. Hennessey; Marcus M. Lawrence – Advances in Physiology Education, 2025
Learning objectives (LOs) are a pillar of course design and execution and thus a focus of curricular reforms. This study explored the extent to which the creation and usage of LOs might be facilitated by three leading chatbots: ChatGPT-4o, Claude 3.5 Sonnet, and Google Gemini Advanced. We posed three main questions, as follows: "question…
Descriptors: Artificial Intelligence, Learning Objectives, Technology Uses in Education, Curriculum Design
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Wael Alharbi – Educational Process: International Journal, 2025
Background/purpose: ESL/EFL teachers face unique burnout challenges due to quality assurance (QA) requirements, increasing class sizes, and intensive feedback demands. This research investigates how these factors contribute to teacher burnout in Saudi higher education and explores the potential of AI as a workload solution. Grounded in the Job…
Descriptors: English (Second Language), Language Teachers, Faculty Workload, Artificial Intelligence
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Steffen Steinert; Lars Krupp; Karina E. Avila; Anke S. Janssen; Verena Ruf; David Dzsotjan; Christian De Schryver; Jakob Karolus; Stefan Ruzika; Karen Joisten; Paul Lukowicz; Jochen Kuhn; Norbert Wehn; Stefan Küchemann – Education and Information Technologies, 2025
As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant attention. However, the scarcity of open-source online tools that are capable of providing personalized feedback has restricted the widespread implementation of…
Descriptors: Higher Education, Open Educational Resources, STEM Education, Feedback (Response)
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Oh Neill, Sam – Canadian Journal of Action Research, 2014
I have worked with students at-risk for the greater majority of my career. The term has a number of meanings. Officially, it means they are at-risk of failing, but often the risks are much greater. At one extreme they are at-risk of losing their lives to substance abuse or suicide. Less drastically they are at-risk of making their way through the…
Descriptors: At Risk Students, Interpersonal Competence, Student Needs, Student Development
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Varela, Otmar; Mead, Esther – Journal of Education for Business, 2018
Popular teamwork assessments have been strongly criticized on the grounds of poor psychometric properties and their disconnect with conceptual models of teamwork. These issues raise concerns with respect to our ability to evaluate efforts devoted to advancing teamwork in academia. We report the development of a teamwork assessment that builds on…
Descriptors: Teamwork, Evaluation Methods, Test Validity, Psychometrics
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May, Alison L.; Stone, C. Addison – Journal of Learning Disabilities, 2010
To explore possible reasons for low self-identification rates among undergraduates with learning disabilities (LD), we asked students (38 with LD, 100 without LD) attending two large, public, research-intensive universities to respond to a questionnaire designed to assess stereotypes about individuals with LD and conceptions of ability. Responses…
Descriptors: Intelligence, Research Universities, Learning Disabilities, Identification
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Abdolrezapour, Parisa; Tavakoli, Mansoor; Ketabi, Saeed – Studies in Second Language Learning and Teaching, 2013
The aim of this study was to gain more in-depth understanding of students' emotions in an EFL context by applying dynamic assessment (DA) procedures to the development of learners' emotional intelligence. The study with 50 intermediate learners aged 12-15 used three modalities: a control group, which was taught under institute's normal procedures;…
Descriptors: Second Language Learning, Guidelines, Emotional Intelligence, Student Evaluation
Lemire, David – 2000
In keeping with a model of intelligence that identifies at least 12 intelligence "talents," formal and informal intelligence or talent assessments have been developed. This paper presents some of these informal instruments that can be used to assess convergent and divergent forms of intelligence. These nontraditional instruments have been designed…
Descriptors: Evaluation Methods, Humor, Intelligence, Intelligence Tests
Community School District 18, Brooklyn, NY. – 1991
This packet contains a set of assessment activities to identify gifted and talented children at the kindergarten level, based on Howard Gardner's theory of multiple intelligences. The six assessments measure linguistic, logical-mathematical, spatial, musical, bodily-kinesthetic, and interpersonal/intrapersonal intelligence. For each assessment,…
Descriptors: Ability Identification, Evaluation Methods, Gifted, Intelligence
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