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Direct linkYunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
Mohammed Alwaqdani – Education and Information Technologies, 2025
This paper investigated teachers' perceptions towards the integration of Artificial Intelligence educational tools (AIED) into their educational practices. Indeed, AI rapidly advances across various fields, including education, and it is essential to understand teachers' perceptions to effectively harness its potential. The study used a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Teaching Methods
Sotirios Karanasios; Marina Papastergiou – Education and Information Technologies, 2024
Location Based Games (LBGs) can support various learning activities in both formal and informal settings. Furthermore, the fact that they can utilize players' physical movement for players' advancement in the game world makes them an appealing alternative for promoting physical activity in students. However, LBGs are not sufficiently used in…
Descriptors: Learning Activities, Educational Games, Learning Management Systems, Telecommunications
K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
Khoza, Simon Bheki; Biyela, Audrey Thabile – Education and Information Technologies, 2020
Decolonising students' knowledge of technology, pedagogy, and mathematics content is important because it helps students understand their learning needs. Decolonisation is a process of critiquing and renewing the curriculum. Learning needs are circumstances that demand individuals' actions in order to address professional, personal, and/or social…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, College Freshmen, Mathematics Education
Valtonen, Teemu; Kontkanen, Sini; Dillon, Patrick; Kukkonen, Jari; Väisänen, Pertti – Education and Information Technologies, 2014
This study focuses on upper secondary and vocational level teachers as users of social software i.e. what software they use during their leisure and work and for what purposes they use software in teaching. The study is theorised within a technological pedagogical content knowledge framework, the emphasis is especially on technological knowledge…
Descriptors: Secondary School Teachers, Vocational Schools, Computer Software, Mass Media Use
