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Eser, Mehmet Taha; Çobanoglu Aktan, Derya – International Journal of Curriculum and Instruction, 2021
By applying educational data mining methods to big data related to large-scale exams, functional relationships are discovered in a basic sense and hidden pattern(s) can be revealed. Within the scope of the research, to show how the self-organizing map (SOM) method can be used in terms of educational data mining, how SOM differs from other…
Descriptors: Science Instruction, Scientific Literacy, Data Analysis, Artificial Intelligence
Kaya-Uyanik, Gulden; Gur-Erdogan, Duygu; Canan-Gungoren, Ozlem – International Journal of Educational Methodology, 2019
In this study, it is aimed to examine the relationship between prospective teachers' occupational anxiety and technological pedagogical content knowledge. Correlational model was used in this study. The participants consisted of 481 prospective teachers studying at Sakarya University Faculty of Education in the spring term of 2018-2019 academic…
Descriptors: Correlation, Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy
Prevett, Pauline S.; Black, Laura; Hernandez-Martinez, Paul; Pampaka, Maria; Williams, Julian – International Journal of Research & Method in Education, 2021
A novel approach to integrating Cluster Analysis (CA) within qualitative inquiry is presented, grounded in a large, unstructured dataset from open and rather unstructured interviews. This dataset was previously subjected to typical (theory sensitive) thematic analyses. Transformed into quantitative binary matrix structures, the CA offers…
Descriptors: Multivariate Analysis, Qualitative Research, Semi Structured Interviews, Robustness (Statistics)
Tanja Kovacic; Cormac Forkan – Irish Educational Studies, 2024
Young people who are either at risk of disengaging or disengaged from mainstream education in Ireland are often supported by what is termed 'out-of-school' or the 'alternative education' sector. A recent review of out-of-school education provision (Department of Education. 2022. "Review of Out-of-School Educational Provision." Dublin:…
Descriptors: Foreign Countries, Nontraditional Education, Inclusion, Mainstreaming
Wang, Weiqiang; Tian, Haiyan – International Journal of Web-Based Learning and Teaching Technologies, 2023
Video observation and content analysis are used to make a "quantitative-qualitative" analysis of English teachers' teaching behavior reflected in English classroom teaching videos, and to accurately describe, analyze, and summarize the characteristics of English teachers' teaching behavior from various aspects. Based on this, this study…
Descriptors: Multivariate Analysis, Video Technology, Content Analysis, Language Teachers
Avci, Ümmühan; Ergün, Esin – Interactive Learning Environments, 2022
The purpose of this study was to examine online students' LMS activities and the effect on their engagement, information literacy, and academic performance. The participants of the study were 65 undergraduate students enrolled to an online "Computer Literacy" course. Cluster analysis was performed on the log data gathered from LMS…
Descriptors: Electronic Learning, Distance Education, Integrated Learning Systems, Learning Activities
Prasertpong, Phanuwat; Charmondusit, Kitikorn; Taecharungroj, Viriya; Rawang, Wee; Suwan, Sumit; Woraphong, Seree – International Journal of Education and Practice, 2023
The main objective of this research was to study the factors influencing the science and environment of education program for blind students at the elementary level. This research used mixed methods (quantitative and qualitative approaches), specifically a questionnaire survey was conducted to better understand the current situation on Science and…
Descriptors: Science Education, Environmental Education, Blindness, Elementary School Students
Qiao, Xin; Jiao, Hong; He, Qiwei – Journal of Educational Measurement, 2023
Multiple group modeling is one of the methods to address the measurement noninvariance issue. Traditional studies on multiple group modeling have mainly focused on item responses. In computer-based assessments, joint modeling of response times and action counts with item responses helps estimate the latent speed and action levels in addition to…
Descriptors: Multivariate Analysis, Models, Item Response Theory, Statistical Distributions
Poellhuber, Bruno; Roy, Normand; Bouchoucha, Ibthihel – International Review of Research in Open and Distributed Learning, 2019
As the offer of Massive Open Online Courses (MOOCs) continues to grow around the world, a great deal of MOOC research has focused on their low success rates and used indicators that might be more appropriate for traditional degree-seeking students than for MOOC learners, who, because of the openness of MOOCs, represent a more diverse clientele who…
Descriptors: Online Courses, Integrated Learning Systems, Distance Education, Student Behavior
Bassi, Francesca – Quality Assurance in Education: An International Perspective, 2019
Purpose: The purpose of the paper is the analysis of the evolution of students' satisfaction over time in a large Italian university and the effects on it because of some characteristics of the teachers: didactic practices, beliefs and needs with regard to teaching and learning. Design/methodology/approach: The first step of the analysis…
Descriptors: Student Satisfaction, Higher Education, College Students, Teacher Attitudes
Curley, Brenna; Peterson, Anna – Journal of Statistics and Data Science Education, 2022
In this article, we outline several activities revolving around soccer players who participated in the 2018 FIFA World Cup and 2019 FIFA Women's World Cup. Classroom activities are described from different perspectives, useful for a range of different statistics courses. In a first semester probability theory course, students investigate the…
Descriptors: Team Sports, Competition, Teaching Methods, Data Analysis
Hiromori, Tomohito – Language Teaching Research Quarterly, 2021
This study examined the performance of university foreign language learners on a writing task by comparing paired work (n = 50) against individual work (n = 50). Data were collected based on three aspects of learners' task engagement: behavioural (time spent working on the task, number of words written), linguistic (English writing scores), and…
Descriptors: Learner Engagement, Cooperative Learning, Writing (Composition), Second Language Learning
Duncan, Markus J.; Patte, Karen A.; Leatherdale, Scott T. – Canadian Journal of School Psychology, 2021
Course grades, as an indicator of academic performance, are a primary academic concern at the secondary school level and have been associated with various aspects of mental health status. The purpose of this study is to simultaneously assess whether symptoms of mental illness (depression and anxiety) and mental well-being (psychosocial well-being)…
Descriptors: Mental Health, Predictor Variables, Academic Achievement, Student Behavior
Garone, Anja; Pynoo, Bram; Tondeur, Jo; Cocquyt, Celine; Vanslambrouck, Silke; Bruggeman, Bram; Struyven, Katrien – British Journal of Educational Technology, 2019
The unified theory of acceptance and use of technology (UTAUT) is a survey instrument used to determine technology usage intention and behaviour. UTAUT consists of four predictor variables; performance expectance, effort expectancy, social influence and facilitating conditions. This study investigates the technology acceptance profiles of…
Descriptors: College Faculty, Integrated Learning Systems, Technology Integration, Intention
Kirbulut, Zubeyde Demet – Eurasian Journal of Educational Research, 2019
Purpose: Self-efficacy plays a crucial role in achievement; and thus, it is important to determine the factors affecting self-efficacy. It has been known that one's reflections and evaluations of their thoughts, emotions, and behaviors are of paramount importance in the development of self-efficacy. Therefore, the aim of this study was to…
Descriptors: Correlation, Self Efficacy, Chemistry, Science Instruction

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