Artificial Intelligence (AI) technologies have been progressing constantly and being more visible in different aspects of our lives. One recent phenomenon is ChatGPT, a chatbot with a conversational artificial intelligence interface that was developed by OpenAI. As one of the most advanced artificial intelligence applications, ChatGPT has drawn much public attention across the globe. In this regard, this study examines ChatGPT in education, among early adopters, through a qualitative instrumental case study. Conducted in three stages, the first stage of the study reveals that the public discourse in social media is generally positive and there is enthusiasm regarding its use in educational settings. However, there are also voices who are approaching cautiously using ChatGPT in educational settings. The second stage of the study examines the case of ChatGPT through lenses of educational transformation, response quality, usefulness, personality and emotion, and ethics. In the third and final stage of the study, the investigation of user experiences through ten educational scenarios revealed various issues, including cheating, honesty and truthfulness of ChatGPT, privacy misleading, and manipulation. The findings of this study provide several research directions that should be considered to ensure a safe and responsible adoption of chatbots, specifically ChatGPT, in education.

Artificial intelligence (AI) has penetrated every layer of our lives, and education is not immune to the effects of AI. In this regard, this study examines AI studies in education in half a century (1970–2020) through a systematic review approach and benefits from social network analysis and text-mining approaches. Accordingly, the research identifies three research clusters (1) artificial intelligence, (2) pedagogical, and (3) technological issues, and suggests five broad research themes which are (1) adaptive learning and personalization of education through AI-based practices, (2) deep learning and machine Learning algorithms for online learning processes, (3) Educational human-AI interaction, (4) educational use of AI-generated data, and (5) AI in higher education. The study also highlights that ethics in AI studies is an ignored research area.

Artificial intelligence (AI) technologies are used in many dimensions of our lives, including education. Motivated by the increasing use of AI technologies and the current state of the art, this study examines research on AI from the perspective of online distance education. Following a systematic review protocol and using data mining and analytics approaches, the study examines a total of 276 publications. Accordingly, time trend analysis increases steadily with a peak in recent years, and China, India, and the United States are the leading countries in research on AI in online learning and distance education. Computer science and engineering are the research areas that make the most of the contribution, followed by social sciences. t-SNE analysis reveals three dominant clusters showing thematic tendencies, which are as follows: (1) how AI technologies are used in online teaching and learning processes, (2) how algorithms are used for the recognition, identification, and prediction of students’ behaviors, and (3) adaptive and personalized learning empowered through artificial intelligence technologies. Additionally, the text mining and social network analysis identified three broad research themes, which are (1) educational data mining, learning analytics, and artificial intelligence for adaptive and personalized learning; (2) algorithmic online educational spaces, ethics, and human agency; and (3) online learning through detection, identification, recognition, and prediction.

Open Praxis is a peer-reviewed open access scholarly journal focusing on research and innovation in open, distance, and flexible education. It is published by International Council for Open and Distance Education - ICDE Web of Science (ESCI) Impact Factor for 2023 is 0,9; ranked 457 out of 759 in Education and Educational Sciences in Q3. Scopus Cite Score is 3.5; ranked 453 out of 1543 in Education category in Q2 and 72 out of 2801 in Library and Information Sciences category in Q2. Facts and Figures: 2024 article acceptance rate is 33%, rejection rate is 67% (13% desk rejections - 54% rejections after review). While the number of days for acceptance is 44, the number of days for rejection is 16.

Koronavirüs (Covid-19) pandemisiyle beraber tüm eğitim kurumları kapatılmış, eğitimin devamlılığını sağlamak üzere (acil) uzaktan eğitim uygulamaları devreye sokulmuştur. Bu süreçten yükseköğretim kadar ilk ve ortaöğretim düzeyindeki öğrenciler de etkilenmiştir. Bu bağlamda bu çalışma ilköğretim öğrencilerinin pandemi süresince edindikleri deneyimleri nitel olgubilim (fenomenoloji) çalışması kapsamında metafor analiziyle incelemiştir. Çalışmada olumlu metafor grubunda kolaylaştırıcı, yaşam boyu öğrenme, öğretimsel bulunuşluk, yapılandırılmış öğrenme, topluluk hissi, özerklik, zaman ve mekan bağımsızlık, içsel motivasyon ve erişebilirlik temaları ortaya çıkmıştır. Olumsuz metaforlar grubunda ise yalnızlık duygusu, yapaylık, sosyalleşme, dışsal motivasyon, izolasyon, iletişimsizlik, psikolojik uzaklık, kalite, eşitsizlik, anındalık ve duyuşsal yakınlık temaları ortaya çıkmıştır. Çalışma sonucuna göre uzaktan eğitimde kuram ve uygulamanın dengeli bir şekilde uygulanmasının ve buna göre öğretim tasarımı yapılmasının anlamlı öğrenme deneyimleri sağlayacağı düşünülmektedir.