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Corno, Fulvio; De Russis, Luigi – IEEE Transactions on Education, 2017
The increasing complexity of the new breed of distributed intelligent systems, such as the Internet of Things, which require a diversity of languages and protocols, can only be tamed with design and programming best practices. Interest is also growing for including the human factor, as advocated by the "ambient intelligence" (AmI)…
Descriptors: Programming, Best Practices, Artificial Intelligence, Student Projects
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Khoo, Elaine; Kang, Sohee – International Journal for Educational Integrity, 2022
Socializing students to Academic Integrity (AI) in the face of great cultural, linguistic and socioeconomic diversity in the student population in higher education calls for innovative strategies that are aligned with equity, diversity and inclusion principles. Through a mixed method of quantitative analysis of learner engagement data from the…
Descriptors: Integrity, Transformative Learning, Higher Education, Equal Education
Alexander, Bryan; Ashford-Rowe, Kevin; Barajas-Murphy, Noreen; Dobbin, Gregory; Knott, Jessica; McCormack, Mark; Pomerantz, Jeffery; Seilhamer, Ryan; Weber, Nicole – EDUCAUSE, 2019
For 17 years, the New Media Consortium convened panels of experts from higher education and posed three key questions for them to discuss: (1) What is on the five-year horizon for higher education institutions?; (2) Which trends and technology developments will drive educational change?; and (3) What are the critical challenges and how can we…
Descriptors: Higher Education, Technology Integration, Educational Technology, Technology Uses in Education
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Ijaz, Kiran; Bogdanovych, Anton; Trescak, Tomas – Interactive Learning Environments, 2017
In this paper, we investigate an application of virtual reality and artificial intelligence (AI) as a technological combination that has a potential to improve the learning experience and engage with the modern generation of students. To address this need, we have created a virtual reality replica of one of humanity's first cities, the city of…
Descriptors: Educational Technology, Technology Uses in Education, History Instruction, Simulated Environment
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Chini, Jacquelyn J.; Straub, Carrie L.; Thomas, Kevin H. – Physical Review Physics Education Research, 2016
Undergraduate students are increasingly being used to support course transformations that incorporate research-based instructional strategies. While such students are typically selected based on strong content knowledge and possible interest in teaching, they often do not have previous pedagogical training. The current training models make use of…
Descriptors: Undergraduate Students, College Science, Physics, Science Process Skills
Brown, Malcolm; McCormack, Mark; Reeves, Jamie; Brooks, D. Christopher; Grajek, Susan – EDUCAUSE, 2020
In assuming ownership of the Horizon Report, EDUCAUSE recognized the challenges of anticipating the future. The authors have, in this first major revision of the report's methodology, structure, and content, striven to break the mold of the classic Horizon Report without losing its essential purpose. The report begins with a scan of the current…
Descriptors: Higher Education, Educational Technology, Technology Integration, Technology Uses in Education
Pelletier, Kathe; Brown, Malcolm; Brooks, D. Christopher; McCormack, Mark; Reeves, Jamie; Arbino, Nichole – EDUCAUSE, 2021
This report profiles key trends and emerging technologies and practices shaping the future of teaching and learning and envisions a number of scenarios and implications for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape. Starting in 2020, COVID-19 pandemic has…
Descriptors: Higher Education, Educational Trends, Educational Technology, Technology Integration
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Bahadir, Elif – Educational Sciences: Theory and Practice, 2016
The ability to predict the success of students when they enter a graduate program is critical for educational institutions because it allows them to develop strategic programs that will help improve students' performances during their stay at an institution. In this study, we present the results of an experimental comparison study of Logistic…
Descriptors: Regression (Statistics), Prediction, Academic Achievement, Predictor Variables
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Jain, G. Panka; Gurupur, Varadraj P.; Schroeder, Jennifer L.; Faulkenberry, Eileen D. – IEEE Transactions on Learning Technologies, 2014
In this paper, we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of…
Descriptors: Artificial Intelligence, Concept Mapping, Teaching Methods, Student Evaluation
Schussler, Deborah; Frank, Jennifer; Lee, Tsan-Kuang; Mahfouz, Julia – Grantee Submission, 2017
Nearly one in three students in the United States today is negatively impacted by bullying. Teachers can play a critical role in stopping bullying-related violence, but many struggle with how to engage students in difficult conversations. Traditional classroom-based pedagogy used to teach communication skills (e.g., modeling & role-play) is…
Descriptors: Computer Simulation, Artificial Intelligence, Role Playing, Teaching Methods
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Montebello, Matthew, Ed. – IGI Global, 2020
Education has gone through numerous radical changes as the digital era has transformed the way we as humans communicate, inform ourselves, purchase goods, and perform other mundane chores at home and at work. New and emerging pedagogies have enabled rapid advancements, perhaps too rapidly. It is a challenge for instructors and researchers alike to…
Descriptors: Educational Change, Information Technology, Educational Research, Electronic Learning
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Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid – International Journal of Web-Based Learning and Teaching Technologies, 2016
In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…
Descriptors: Electronic Learning, Teaching Methods, Classification, Student Needs
Luckin, Rosemary, Ed. – UCL IOE Press, 2018
The educational technology sector is growing fast, with schools, colleges and universities more than ever looking for the best ways to use technology in the classroom. At the same time, there is an increasing appetite for learning and teaching practices to be backed up by evidence. However, there are few resources that bring these two things…
Descriptors: Teaching Methods, Educational Technology, Technology Uses in Education, Educational Research
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Dogmus, Zeynep; Erdem, Esra; Patogulu, Volkan – IEEE Transactions on Education, 2015
This paper presents ReAct!, an interactive educational tool for artificial intelligence (AI) planning for robotics. ReAct! enables students to describe robots' actions and change in dynamic domains without first having to know about the syntactic and semantic details of the underlying formalism, and to solve planning problems using…
Descriptors: Robotics, Artificial Intelligence, Instructional Effectiveness, Outcomes of Education
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Wen, Yun, Ed.; Wu, Yi-ju, Ed.; Qi, Grace, Ed.; Guo, Siao-Cing, Ed.; Spector, J. Michael, Ed.; Chelliah, Shobhana, Ed.; Kinshuk, Ed.; Lan, Yu-Ju, Ed. – Lecture Notes in Educational Technology, 2021
This book uncovers the important issues in language learning and teaching in the intelligent, digital era. "Social connectivity" is a contemporary style of learning and living. By engaging in the connectivity of physical and digital worlds, how essential parts of language learning and teaching can be achieved? How can the advanced…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Information Technology
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