Measuring quality in online education: A meta-synthesis

A Esfijani - American Journal of Distance Education, 2018 - Taylor & Francis
This article presents a meta-synthesis review of quality of online education (QOE)
measurement approaches. In order to survey the existing body of knowledge, a qualitative …

Student-performulator: Predicting students' academic performance at secondary and intermediate level using machine learning

S Hussain, MQ Khan - Annals of data science, 2023 - Springer
Forecasting academic performance of student has been a substantial research inquest in
the Educational Data-Mining that utilizes Machine-learning (ML) procedures to probe the …

Implementation of distance learning during the covid-19 pandemic in faculty of education and teacher training

S Sutiah, S Slamet, A Shafqat… - Cypriot Journal of …, 2020 - repository.uin-malang.ac.id
During the prevention of the spread of the virus the COVID-19 pandemic, change took place
suddenly of learning. Distance learning is a good substitute when physical or face-to-face …

Application of machine learning in predicting performance for computer engineering students: A case study

D Buenaño-Fernández, D Gil, S Luján-Mora - Sustainability, 2019 - mdpi.com
The present work proposes the application of machine learning techniques to predict the
final grades (FGs) of students based on their historical performance of grades. The proposal …

Can new digital technologies support parasitology teaching and learning?

A Jabbar, RB Gasser, J Lodge - Trends in Parasitology, 2016 - cell.com
Traditionally, parasitology courses have mostly been taught face-to-face on campus, but
now digital technologies offer opportunities for teaching and learning. Here, we give a …

Training needs for faculty members: Towards achieving quality of university education in the light of technological innovations.

YAM Abouelenein - Educational Research and Reviews, 2016 - ERIC
The aim of this study was to identify training needs of university faculty members, in order to
achieve the desired quality in the light of technological innovations. A list of training needs of …

Scratch programı ile web destekli işbirlikli öğrenme yönteminin ilkokul 5. sınıf öğrencilerinin kavramsal anlama düzeylerine ve eleştirel düşünme becerilerine etkisi

G Alp - 2019 - acikerisim.uludag.edu.tr
Ülkemizde öğretmen ve öğrencilerin teknolojiyi etkili bir şekilde kullanması amacıyla
okullarda gerekli alt yapının sağlanarak, bilişim teknolojileri destekli öğretimin …

8. sınıf doğal süreçler ünitesi için hazırlanan BDÖ yazılımı ve akademik başarıya etkisi

L Durdu, EB Kırıkkaya, F Dağ, S Gerdan - İlköğretim Online, 2016 - dergipark.org.tr
Bu araştırmada, 8. sınıf “Doğal Süreçler” ünitesinin öğretimi için web tabanlı Bilgisayar
Destekli Öğretim (BDÖ) yazılımı geliştirilmiş, geliştirilen yazılımın web tabanlı öğrenme …

A five-phase learning cycle approach to improving the web-based problem-solving performance of students

FR Kuo, GJ Hwang - Journal of Educational Technology & Society, 2014 - JSTOR
Internet technology has become an important channel for accessing information and solving
problems. However, researchers have indicated that most students lack effective strategies …

Student grade prediction using machine learning in Iot era

AA Hussain, K Dimililer - Forthcoming Networks and Sustainability in the …, 2021 - Springer
The work proposed in this paper is the application of machine learning techniques in
recognizing patterns and predicting student success rate on the bases of their performance …