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Cotet, Gabriela Beatrice; Carutasu, Nicoleta Luminita; Chiscop, Florina – Education Sciences, 2020
Although the new economic paradigm is based on the rapid evolution of technology, it is not clear if this evolution is only dependent on a spectacular transformation of human resources or if the evolution of human resources has imposed major changes at a technical level as well. The main focus of this paper is to identify how to cope with these…
Descriptors: Technological Advancement, Evolution, Age Groups, Individual Characteristics
Simpson, Ian Craig; Moreno-Pérez, Francisco Javier; Rodríguez-Ortiz, Isabel de los Reyes; Valdés-Coronel, Marta; Saldaña, David – Reading and Writing: An Interdisciplinary Journal, 2020
Reading comprehension is a complex task requiring many underlying skills. Syntactic awareness and morphological awareness are two such skills that have been shown to be related to reading comprehension. However, the majority of studies have been carried out in English, and very few have explored these skills in monolingual Spanish speaking…
Descriptors: Morphology (Languages), Syntax, Reading Comprehension, Spanish Speaking
Brinia, Vasiliki; Poullou, Vasiliki; Panagiotopoulou, Angeliki-Rafailia – Quality Assurance in Education: An International Perspective, 2020
Purpose: This paper aims to explore the perceptions of pre-school educators for the application of total quality philosophy in kindergartens in the prefecture of Corinthia, Greece. Dimensions, such as the adoption of quality philosophy in the pre-school unit by the superiors, the active participation of teachers in decision-making and human…
Descriptors: Educational Quality, Preschool Teachers, Teacher Attitudes, Kindergarten
Tordjman, Sylvie; Pereira Da Costa, Maria; Schauder, Silke – Journal for the Education of the Gifted, 2020
The case study of Michael Jackson illustrates the concepts of high potential, talent, and precocity in the musical domain. Studying this case of exceptional musical talent highlights the usefulness of a multidimensional approach to exploring human potential, which is not limited to academic abilities. It offers a better understanding of the…
Descriptors: Ability, Music, Talent, Gifted
Ndia, La; Solihatin, Etin; Syahrial, Zulfiati – International Journal of Instruction, 2020
The purpose of this study was to determine the effect of learning models and multiple intelligences on mathematics achievement. It was conducted at SMPN 5 Kendari, Southeast Sulawesi, Indonesia. The research method used a quasi-experimental design. Data on mathematics achievement and multiple intelligences were collected using multiple-choice…
Descriptors: Models, Multiple Intelligences, Mathematics Achievement, Problem Based Learning
Fischer, Gerhard; Lundin, Johan; Lindberg, J. Ola – International Journal of Information and Learning Technology, 2020
Purpose: The digitalization of society results in challenges and opportunities for learning and education. This paper describes exemplary transformations from current to future practices. It illustrates multi-dimensional aspects of learning which complement and transcend current frameworks of learning focused on schools. While digital technologies…
Descriptors: Information Technology, Educational Cooperation, Educational Practices, Transformative Learning
Roschelle, Jeremy, Ed.; Lester, James, Ed.; Fusco, Judi, Ed. – Digital Promise, 2020
This report is based on the discussion that emerged from a convening of a panel of 22 experts in artificial intelligence (AI) and in learning. It introduces three layers that can frame the meaning of AI for educators. First, AI can be seen as "computational intelligence" and capability can be brought to bear on educational challenges as…
Descriptors: Artificial Intelligence, Learning, Computation, Futures (of Society)
Clavié, Benjamin; Gal, Kobi – International Educational Data Mining Society, 2020
We introduce DeepPerfEmb, or DPE, a new deep-learning model that captures dense representations of students' online behaviour and meta-data about students and educational content. The model uses these representations to predict student performance. We evaluate DPE on standard datasets from the literature, showing superior performance to the…
Descriptors: Student Behavior, Electronic Learning, Metadata, Prediction
Aulck, Lovenoor; Nambi, Dev; West, Jevin – International Educational Data Mining Society, 2020
Effectively estimating student enrollment and recruiting students is critical to the success of any university. However, despite having an abundance of data and researchers at the forefront of data science, traditional universities are not fully leveraging machine learning and data mining approaches to improve their enrollment management…
Descriptors: Resource Allocation, Scholarships, Artificial Intelligence, Data Analysis
Yanagiura, Takeshi – Community College Research Center, Teachers College, Columbia University, 2020
Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…
Descriptors: Community Colleges, Man Machine Systems, Artificial Intelligence, Prediction
Prioleau, Ashlie – ProQuest LLC, 2020
This study examines the effectiveness of implementing a chatbot solution to supplement existing student support or service models on campus, specifically for transfer students. Chatbots, an artificial intelligence solution meant to mimic human conversation and personality, have been viewed as a viable option for supporting transfer students…
Descriptors: Educational Technology, Computer Mediated Communication, Artificial Intelligence, Technology Uses in Education
Rebecca C. Meyers – ProQuest LLC, 2020
Quality induction programming for novice principals should promote experiences that build self-efficacy (Tschannen-Moran & Gareis, 2007). Critical induction experiences are necessary to prepare school leaders for the increasing demands of the role. In the ever-changing world of public education, the importance of high-impact experiences for…
Descriptors: Administrator Effectiveness, Principals, Elementary Schools, Administrator Characteristics
Kohnke, Lucas – SpringerBriefs in Education, 2023
This book provides strategies, tools, and best practices for incorporating microlearning in English language teaching. It aims to help teachers create and deliver microlearning mechanisms that are optimized for mobile learning. This book also draws on relevant literature and the author's first-hand experience designing microlearning activities for…
Descriptors: Educational Technology, English (Second Language), Second Language Instruction, Artificial Intelligence
Wagner, Kerstin; Merceron, Agathe; Sauer, Petra; Pinkwart, Niels – International Educational Data Mining Society, 2023
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design and which is based on the explainable k-nearest neighbor algorithm,…
Descriptors: College Freshmen, At Risk Students, Dropouts, Dropout Programs
Saastamoinen, Kalle; Rissanen, Antti; Mutanen, Arto – International Baltic Symposium on Science and Technology Education, 2023
There were two projects at the National Defence University of Finland (NDU), which both ended by the end of 2022. One of them tried to find the answers to the main question: How artificial intelligence (AI) could be used to improve learning, teaching, and planning? The other tried to find the answer to the main question: What new skills do…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Teaching Methods, Learning Analytics

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