Bahar Solaymani, Rezvan Hakimzadeh, Noruzali Karamdoost,
Volume 2, Issue 4 (3-2015)
Abstract
This paper is to investigate the heutagogic self-determined learning behavior of the students according to the theoretical foundations and framework of the heutagogic approach which has been carried out as a case study in Mehr-e Alborz virtual university. Among study population of Mehr-e Alborz virtual university students which were 690 people, 120 students were selected randomly by means of Proportional Stratified Random Sampling according to Morgan table and were then studied based on the heutagogic learning behavior level. Heutagogic learning behavior of the students from their view points were collected based on demographic variables (age, gender, semester and academic performance) by a researcher-developed questionnaire. The results indicate a significant relationship between two variables of academic performance and heutagogic learning behavior So that heutagogic learning behavior explains about 35% of the changes in academic performances of electronic students. Totally the heutagogic self-determined learning behaviors of the students have been estimated by intermediate or rather good level.
Dr Ali Beiramipour, Mrs Sheyda Echresh,
Volume 9, Issue 18 (10-2021)
Abstract
This research is applied in terms of purpose and synthesis in terms of method. The scope of research and the main sources of data collection are numerous studies that have been conducted since the outbreak of Covid-19 virus in connection with the challenges of transition from face-to-face to virtual education in Iran and abroad. 69 samples were purposefully selected. In the next steps, information coding and classification was performed; The combination of categories and the results of the analysis led to the extraction of a conceptual framework related to the challenges of transfer from face-to-face training to virtual training and the presentation of appropriate strategies for this transfer. In general, the challenges of transition to e-learning in two dimensions, macro and micro, were extracted in four categories and 22 codes, and successful transfer strategies from face-to-face to virtual education were presented in seven categories and 17 codes.
