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Öğe Using artificial intelligence tools in higher education(CRC Press, 2024) Aytaç, ZeynepArtificial intelligence (AI), as a part of the Industrial Revolution 4.0, plays an essential role in making the technology-based learning process easier. The teaching and learning process is changing with innovation and creativity in education, especially recent AI developments. AI-based educational technologies like personalized learning systems, voice assistants, virtual mentors, educational games, automatic assessment systems, and intelligent tutoring systems have brought many innovations and conveniences for teachers, learners, and administrators in educational institutions. Teachers can report student learning outcomes, make learning resources and plans, and understand students' needs more easily with the collaboration of AI. Learners can also achieve educational goals more effectively. Educational institutions are partnering with the industry to create AI-based solutions for reducing college costs and allowing students to customize their learning experiences to meet their needs. According to the Educause Horizon Report, AI in the US education sector is expected to exceed a market cap of $85 million by 2022, with a compound annual growth rate of 48% (Educause, 2022). Therefore, it will become significant for the stakeholders in the education sector to be aware of the applications developed with AI technology and to benefit from using them. This study aims to present AI-based software tools and technologies, such as, learning platforms, intelligent tutoring systems (ITS), chatbots, automated assessment systems, and intelligent virtual reality. Also, it will be discussed how students, educators, and administrators in higher education can benefit from artificial intelligence-based tools and applications.Öğe An urgency for change in roles: A cross analysis of digital teaching and learning environments from students and faculty perspective(IGI Global, 2019) Elçi, AlevStudent dependence on technology, higher education institution efforts of digitalization in teaching and learning, along with the faculty member hesitancy to adopt innovative technologies all contribute to current challenges in higher education. The focus of this chapter is on exploring the gap between student and faculty perceptions about utilizing technology in teaching and learning, in addition to enlighten institutional roles and strategies to sustain efforts for managing such environments and faculty development. Multiple research methods are used to derive insights. The findings point towards the need to increase knowledge base and to expand faculty development around digital teaching and learning strategies as well as fostering student faculty collaboration to improve learner engagement and performance. As a result of changing roles, the pedagogical methods and technological tools used in digital teaching and learning process should not be a sole decision of the institution, but as a result of a collaborative mindset of institution, faculty, and students.Öğe Semantic modelling for e-learning coordination(IGI Global, 2016) Elçi, Atilla; Çelik Ertuğrul, Duygu; Elçi, AlevThis chapter reports a metadata model for e-learning coordination based on content semantics grounded on Semantic Web concepts. To start with, e-learning models are surveyed identifying process content, such as phases, activities, data schema, rules and relations, so on, as relevant for a coordination model. The study looks into the mechanism of e-learning environment and how e-learning processes can be classified for purposes of activity coordination. A metadata model for coordination of e-learning is being sought as expressed in Semantic Web concepts and transcribed using the related languages like OWL, RDF, SPARQL and others. A learner centric proposal is advanced which augments the IEEE Learning Technology Standards Committee's industry leader Learning Technology System Architecture. Examples are worked out and future research directions are identified. This is a continuing research project on application of Semantic Web initiative in e-learning; i.e., design and development of markup and annotation tools, relevant ontologies and intelligent agents in meeting learner needs. © 2016 by IGI Global. All rights reserved.
