Browsing by Author "Sahin, F."

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Allelopathic Effects of Plants Extracts on Physiological and Cytological Processes During Maize Seed Germination
(Allelopathy Journal, 2008) Turker, M.; Battal, P.; Agar, G.; Gulluce, M.; Sahin, F.; Erez, M. E.; Yildirim, N.
The methanol extracts (3.3, 5.6 and 10.0%) of Berberis vulgaris L., Mentha longfolia (L) Huds., Salvia limbata C.A. Mey., Artemisia absinthium L., Achillea biebersteinii Afan., Origanum vulgare L., Medicago sativa L., Vicia cracea (Desf.) B. Fedtsch were applied to maize (Zea mays L.) seeds to determine their effects on radical, plumule growth, contents of phytohormones [giberellic acid equivalents (GAs), indole-3-acetic acid (IAA), trans-zeatin (t-Z) and abscisic acid (ABA)], carbohydrates (glucose, fructose and sucrose), fatty acids, (palmitic acid and oleic acid), mitotic index and chromosome abnormalities as compared to control. The 5.0 and 10.0 % extracts inhibited the germination. The extracts also decreased the length of plumule and radicals. However, there were variable effects on plant hormones, fatty acids and sugar levels. Plant extracts decreased the mitotic index and also caused abnormalities in chromosomes.
Empowering Teacher Training With AI: Factors Shaping the Development and Use of Open Educational Resources
(Routledge, 2026) Çelik, B.; Sahin, F.
The integration of artificial intelligence (AI) into open educational resource (OER) development presents new opportunities for enhancing educational experiences. However, the factors shaping pre-service teachers’ adoption of AI-assisted OER development still unexplored. This study examines the key determinants of pre-service teachers’ (psts) behavioral intentions to develop and use AI-assisted OER, drawing from Uses and Gratifications Theory and related constructs. Data were collected from 240 psts. Participants received 10 weeks training on AI-supported OER development. Data analysis was conducted performing structural equation modeling and bootstrapping. The findings reveal that compatibility, enjoyment, task efficiency, and information seeking significantly influence both trust and behavioral intention. However, trust did not. Social factors yielded mixed results. While social influence positively affected behavioral intention, it did not significantly impact compatibility or trust. Similarly, social interaction fostered trust but did not directly influence behavioral intention. While peer and instructor opinions encourage adoption, they do not necessarily enhance AI’s trustworthiness or suitability for educational tasks. The study contributes to the theoretical understanding of AI acceptance in education by refining existing adoption models with social and cognitive factors. Findings suggest that training programs should emphasize AI’s alignment with teaching tasks and focus on enhancing user enjoyment to drive adoption. © 2026 Open and Distance Learning Association of Australia, Inc.
Understanding Problematic Social Media Use: Insights Into Telepressure, FMO, Engagement, and Motives
(SAGE Publications Inc., 2025) Sahin, F.; Dogan, E.; Okur, M.R.; Şahin, Y.L.
The objective of this investigation is to assess the impact of telepressure, fear of missing out, social media engagement, and social media use motives on problematic social media use through the examination of a proposed model, while also scrutinizing the moderating effects of individual differences on the interrelations between these constructs. Utilizing online data collection methods, responses were gathered from a sample comprising 14,153 social media users. Analysis was conducted employing the partial least squares structural equation modeling technique alongside multi-group analysis. Findings indicate that the model accounts for 73.2% of problematic social media use variance. Notably, fear of missing out, telepressure, and the motive of image presentation emerged as the most influential constructs pertaining to problematic social media use. Furthermore, nearly all hypotheses related to social media use motives garnered support. In terms of moderators, gender demonstrated significant moderation effects in eight relationships, while age and usage exhibited moderation effects in six and three relationships, respectively. These outcomes underscore the potential pivotal role of social media motives and individual differences. This study contributes valuable knowledge to the growing body of literature and informs interventions targeting problematic social media use. © The Author(s) 2025