The Role of School Administrators in The Use
of Technology

Öznacar, Behçet; Dericioğlu, Sonay

doi:10.12973/eurasia.2017.00615a

Cited by 12 publications

(7 citation statements)

References 7 publications

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“…It lacks comprehensive visions, and our universities' decisionmakers are unaware of the eLearning philosophy. This finding aligns with some studies, such as the study of Öznacar, Dericioğlu [2] research and Barakat, Ahmad, Shahen [8], which reported that administrative and material obstacles came first from the viewpoint of secondary school teachers. The researchers attributed this to the lack of financial capabilities to start eLearning work.…”

Section: Discussionsupporting

confidence: 91%

“…Participants were not satisfied with eLearning as the sole method for undergraduate teaching. The absence of students' electronic literacy is compatible with the study of Öznacar, Dericioğlu [2], the poor administration, the lack of material resources and equipment, the educational training, and students speaking in a professional context [3]. In contrast, Alqudah, Jamal, Saleh, Khader, Obeidat [4] investigated the eLearning experience of academic ophthalmologist students in Jordan during .…”

Section: Introductionmentioning

confidence: 99%

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Predicting undergraduate students' perspectives on the E-learning obstacles with artificial neural networks

Abueita¹,

Abueita²

2023

P Sci Edu

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The problem and the aim of the study. Educational institutions aim to provide an electronic learning environment that attracts students' interest and encourages them to exchange information, which considers eLearning a convenient way and means to develop. The rapid expansion in using eLearning might lead to obstacles during the teaching process. The present study aimed to investigate the eLearning obstacles from the undergraduate student's perspective at Al-Balqa Applied University through Artificial Neural Networks (ANN). Research methods. The researchers adopted two types of curricula, the descriptive and analytical approaches. The illustrative method is the definition of e-learning, neural networks and their fields of use and construction, and the application of a questionnaire to identify e-learning obstacles. The analytical approach applies the artificial neural network model to identify e-learning obstacles. Results. The result of the analyses indicated that there were different level degrees of four obstacle areas from the student's perspective: the most obstacle was faculty member obstacles (100%), followed by the infrastructure and technical support obstacles (95.4%), then university administration obstacles (81.1%), and the last one was the student's obstacles (80.3%). Also, the results showed differences in students' perspectives concerning their majors. Conclusion. The present study aimed to investigate the eLearning obstacles from the undergraduate student's perspective at Al-Balqa Applied University through Artificial Neural Networks, based on data collected from answers students on a questionnaire. The literature review indicated that neural networks outperform all other classifiers in prediction accuracy. A multi-layer neural network has been trained through a backpropagation algorithm to predict e-learning obstacles. The accuracy rate of the classification was very high. The results show the differences in students' expected predictions for e-learning obstacles according to the student major. The order of the student predictions for eLearning obstacles from most important to least important was as follows: faculty member obstacles, faculty member obstacles, infrastructure and technical support, university administration and the student's barriers. The reality of the application of e-learning showed that undergraduate students of Princess Alia University College had a negative perspective on eLearning. The study recommended improving the capability of the students' academic advisors in employing e-learning through training to improve their proficiency in using e-learning.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Predicting undergraduate students' perspectives on the E-learning obstacles with artificial neural networks

Abueita¹,

Abueita²

2023

P Sci Edu

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“…Another study by Öznacar and Dericioğlu [25] to identify the role of administrators in the integration of technology in the classroom, reveals that those administrators have positive beliefs of this integration in the classroom. For many reasons, the integration of technology in the classroom has failed.…”

Section: Previous Studies Of Integrating Technology In Teaching and L...mentioning

confidence: 99%

Iraqi EFL teachers’ perception towards Google Classroom

Ugla

Abdullah

2022

IJERE

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<p>Nowadays, information technology (IT) based educational applications (Moodle, Google Classroom, and Zoom) are available for both teachers and students. This study aimed to identify Iraqi English as a foreign language (EFL) teachers’ perception towards using Google Classroom at the university level. A qualitative research design (case study) was employed in this study. The researcher asked six Iraqi EFL teachers as volunteers to participate in this study. Those participants are working at different Iraqi universities. A semi-structured interview was used to get the data from those participants. Six phases of analysis were adopted to analyze the elicited data. The results revealed that Google Classroom is very important in EFL teaching and learning at tertiary level. This application has many advantages in teaching EFL students such as it enables students to find the lectures whenever they need them, encourages students to participate, speak, and comment freely and effectively without hesitations especially those who have some psychological problems like shyness. On the other hand, it has many disadvantages too such as it focuses on listening, writing, and watching skills and ignores the direct interaction between teachers and students, which could take place in the normal classes. </p>

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“…(Sheninger, 2019, Vorwort).Schulleiterinnen und Schulleiter sind relevante Akteure, um Schule im Kontext des digitalen Wandels zu transformieren. Neben allgemeinen Führungskompetenzen(Cole & Sauers, 2018;Gilmore & Deos, 2020) benötigen sie ebenfalls technologische Kompetenzen(Claro, Nussbaum, López & Contardo, 2017; Håkansson Lindqvist & Petersson, 2019;Kör et al, 2016;Öznacar & Dericioglu, 2017;Schwanenberg et al, 2018). In der aktuellen Forschung wird in diesem Zusammenhang von technology oder digital leadership 23 gesprochen.…”

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11. Bildung im digitalen Wandel

Teltemann¹

2022

Bildungssoziologie

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Für die Umsetzung von Konzepten zur digitalen Bildung spielt der Prozess der Organisa tions entwicklung eine entscheidende Rolle. Der folgende Beitrag führt unter Berücksichtigung aktueller Entwicklungen im Zuge der Covid-19-Pandemie in das Thema Digitalisierung und Organisationsentwicklung von Bildungsinstitutionen ein und stellt einige der bildungspolitischen Konzepte und Strategien in diesem Umfeld vor. Anschließend werden die Methodik und der Arbeitsprozess der Reviewerstellung erläutert, die diesem Band zu Grunde liegen. Um eine umfassende Menge an aktuellen Studien zu identifizieren, wurde eine systematische Literaturrecherche mit deutschen und englischen Suchwörtern für den Suchzeitraum 2010, bzw. 2016 bis 2020 durchgeführt. Für die verschiedenen Bildungssektoren wurden jeweils eigene Datenbanksuchen und erweiterte Suchstrategien angewandt. Abschließend wird in diesem Kapitel diskutiert, welche Formen von Bias in Reviewverfahren auftreten können. Dabei lässt sich aufzeigen, dass Bias zwar nie ganz ausgeschlossen werden kann, aber auch kürzer angelegte Reviewverfahren von bestimmten Arbeitsschritten im Reviewprozess wie Transparenz, Dokumentation und Data-Sharing profitieren können.

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The Role of School Administrators in The Use of Technology

Cited by 12 publications

References 7 publications

Predicting undergraduate students' perspectives on the E-learning obstacles with artificial neural networks

Predicting undergraduate students' perspectives on the E-learning obstacles with artificial neural networks

Iraqi EFL teachers’ perception towards Google Classroom

11. Bildung im digitalen Wandel

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