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Lin, Guan-Yu; Liao, Yi-Wen; Su, Zhi-Yuan; Wang, Yu-Min; Wang, Yi-Shun – Education and Information Technologies, 2023
This study attempts to: (a) investigate whether positive and negative emotions mediate the pathways linking self-efficacy for learning programming with effort and persistence in undergraduates' learning Scratch programming combining with a programmable hardware platform (i.e., Arduino), and (b) assess the effect of academic major (i.e.,…
Descriptors: Undergraduate Students, Academic Persistence, Programming, Self Efficacy
Gümüs, Muhammed Murat; Çakir, Recep; Korkmaz, Özgen – Education and Information Technologies, 2023
Today, with digital technologies being in every aspect of our lives, cyberbullying and digital ethics, and digital security violations are emerging as concepts that threaten our digital world. It is thought that displaying ethical behavior and providing digital security in digital environments can increase sensitivity to cyberbullying. Here, it is…
Descriptors: Preservice Teachers, Bullying, Computer Mediated Communication, Ethics
Chengze Zeng – Education and Information Technologies, 2025
Mathematical literacy is becoming increasingly important and needs to be developed. However, various factors can affect students with different mathematical literacy patterns. This study aims to investigate the effects of students' backgrounds, attitudes toward mathematics, and information and communication technology (ICT) familiarity on the…
Descriptors: Foreign Countries, Secondary School Students, International Assessment, Numeracy
Educational Data Mining: An Application of a Predictive Model of Online Student Enrollment Decisions
Cody Gene Singer – ProQuest LLC, 2023
College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…
Descriptors: Data Collection, Predictor Variables, Electronic Learning, Enrollment
Johannes König; Sandra Heine; Daniela Jäger-Biela; Martin Rothland – European Journal of Teacher Education, 2024
The paper applies a scoping review of k = 16 empirical studies from nine countries and three continents that aim at an empirical investigation of teachers' ICT integration in lesson plans as part of their professional competence. We summarise the results into four sections: conceptualisations, study design, measurement instruments, and key…
Descriptors: Lesson Plans, Competence, Information Technology, Teacher Competencies
Angela M. Petitt – ProQuest LLC, 2022
Authentic leadership is a relatively new concept in leadership literature with little empirical research in educational settings and within the realm of information technology professionals. Authentic leadership is slated to be a form of leadership that yields positive follower and organizational outcomes. Researching authentic leadership and job…
Descriptors: Professional Personnel, Information Technology, Educational Technology, Leadership
Weipeng Yang; Dandan Wu; Ting Liao; Rongxiu Wu; Hui Li – Journal of Research on Technology in Education, 2024
The global education system has two primary objectives: achieving universal quality early childhood education (ECE) and integrating information and communication technology (ICT). We sought to determine whether preservice preschool teachers possess the necessary knowledge to integrate ICT into ECE by examining the technological pedagogical content…
Descriptors: Preschool Teachers, Preservice Teachers, Teaching Methods, Knowledge Base for Teaching
Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart – Journal of Educational Data Mining, 2024
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…
Descriptors: At Risk Students, Algorithms, Foreign Countries, Course Selection (Students)
Caesar Jude Clemente – ProQuest LLC, 2023
Having a job immediately after graduation is the dream of every IT graduate. However, not everyone can achieve this outcome. The study's primary goal is to develop predictive models to forecast IT graduates' chances of finding a job based on factors such as academic performance, socioeconomic status, academic habits, and demographic data.…
Descriptors: Artificial Intelligence, Prediction, Models, Information Technology
Bokhove, Christian – Educational Research and Evaluation, 2022
An article by Kim et al. from 2014 examined individual- and school-level variables affecting the information and communication technology (ICT) literacy level of Korean elementary school students, finding differential gender effects. In this secondary data replication, we used data from the 2018 International Computer and Information Literacy…
Descriptors: Replication (Evaluation), International Assessment, Information Technology, Technological Literacy
Costa, Stella F.; Diniz, Michael M. – Education and Information Technologies, 2022
The large rates of students' failure is a very frequent problem in undergraduate courses, being even more evident in exact sciences. Pointing out the reasons of such problem is a paramount research topic, though not an easy task. An alternative is to use Educational Data Mining techniques (EDM), which enables one to convert data from educational…
Descriptors: Prediction, Undergraduate Students, Mathematics Education, Models
Locklair, Oliver – ProQuest LLC, 2022
The purpose of the current study was to employ the technology acceptance model to determine the relationship between perceived ease of use, perceived usefulness, and behavioral intention to use mobile learning technology among undergraduate students in the United States. Before technological systems can provide organizational value, they must be…
Descriptors: Information Technology, Telecommunications, Handheld Devices, Correlation
Luciano, Ruth G.; Olipas, Cris Norman P.; Dela Cruz, Arnold P. – Online Submission, 2022
Student dropout is one of the challenges commonly encountered by learning institutions. It has been a problem and several studies have been conducted to know the reasons for dropping out to craft solutions appropriate and contextualized to different types of learning institutions. This study seeks to determine the dropout rates of the Bachelor of…
Descriptors: Foreign Countries, Information Technology, College Students, Dropout Rate
Gülay Öztüre Yavuz; Gökhan Akçapinar; Hatice Çirali Sarica; Yasemin Koçak Usluel – Education and Information Technologies, 2024
This study aims to develop a predictive model for predicting gifted students' engagement levels and to investigate the features that are important in such predictions. Features reflecting students' emotions, social-emotional learning skills, learning approaches and video-watching behaviours were used in the prediction models. The study group…
Descriptors: Secondary School Students, Academically Gifted, Gifted Education, Learner Engagement
Kolil, Vysakh Kani; Achuthan, Krishnashree – Education and Information Technologies, 2023
Synthesizing the advancements in technology with classroom practices depends considerably on teachers acceptance of such internet and communication technology (ICT) tools. Adequate teacher training and upgrading of their IT skills are not prioritized in developing economies leading to poor adoption of emerging technology assisted pedagogic…
Descriptors: Longitudinal Studies, Teacher Attitudes, Technology Uses in Education, Virtual Classrooms