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Omar M. K. AL-Mahasneh – International Society for Technology, Education, and Science, 2024
The study aimed to identify the degree to which students at Shobak University College practice the elements of digital citizenship related to education. The researcher used the descriptive survey method through the electronic questionnaire instrument. The study sample consisted of 163 students from al-Shobak University College who were selected…
Descriptors: Citizenship, Internet, College Students, Foreign Countries
Gao, Zhikai; Erickson, Bradley; Xu, Yiqiao; Lynch, Collin; Heckman, Sarah; Barnes, Tiffany – International Educational Data Mining Society, 2022
In computer science education timely help seeking during large programming projects is essential for student success. Help-seeking in typical courses happens in office hours and through online forums. In this research, we analyze students coding activities and help requests to understand the interaction between these activities. We collected…
Descriptors: Computer Science Education, College Students, Programming, Coding
Omar. M. K. Mahasneh – International Society for Technology, Education, and Science, 2023
The coronavirus pandemic has forced the world to change education policies in educational institutions. For example, Jordan's Ministry of Higher Education has allowed courses in academic programs to be taught in three types of education: distance e-learning, blended education, and traditional education. Hence this study came to reveal students'…
Descriptors: Lecture Method, Electronic Learning, College Students, Foreign Countries
Wang, Yurou; Zhang, Jihong – AERA Online Paper Repository, 2022
Technology, Engineering, and Mathematics (STEM) fields are in high demand. These fields all require sufficient math ability. However, many university students suffer from math anxiety. This study conducted an experiment to explore the influence of math anxiety on university students' challenging math problem-solving behavior and whether autonomy…
Descriptors: Mathematics Anxiety, College Students, Problem Solving, Personal Autonomy
Verger, Mélina; Lallé, Sébastien; Bouchet, François; Luengo, Vanda – International Educational Data Mining Society, 2023
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against some students and possible harmful long-term…
Descriptors: Prediction, Models, Student Behavior, Academic Achievement
Jiahui Wang; Hengtao Tang – AERA Online Paper Repository, 2024
The current study examined the influences of SRL prompts provided in three different phases (i.e., forethought, performance, and self-reflection) on college students' learning outcome and SRL levels during video-based learning. Fifty-eight participants were randomly assigned into one of the four conditions: 1) SRL prompts at the forethought phase;…
Descriptors: Self Management, Cues, Video Technology, Educational Technology
Erkan, Mert; Munusturlar, Süleyman; Koçak, Osman Göktug – International Journal of Curriculum and Instruction, 2023
In order to socialize, get rid of stress and the routine of daily life, relax, and return to work more efficiently, people plan their vacation time in advance, work for this plan, save money and even go into debt. In this regard, this study aims to examine the relationship between the planned behavior levels of university students who tend to…
Descriptors: Foreign Countries, Behavior Theories, College Students, Tourism
Kasakowskij, Regina; Haake, Joerg M.; Seidel, Niels – International Educational Data Mining Society, 2023
Improving competence requires practicing, e.g. by solving tasks. The Self-Assessment task type is a new form of scalable online task providing immediate feedback, sample solution and iterative improvement within the newly developed SAFRAN plugin. Effective learning not only requires suitable tasks but also their meaningful usage within the…
Descriptors: Self Evaluation (Individuals), Student Behavior, College Students, Learning Processes
Burcak Aydin; Gökhan Akcapinar; Vildan Özeke; Mohammad Nehal Hasnine – International Association for Development of the Information Society, 2024
This study explores the relationship between students' affective states and their interactions with educational videos. While video-based learning has become increasingly popular, it is important to understand the emotional and behavioral dynamics that influence learning outcomes. Using a qualitative content analysis approach, data were collected…
Descriptors: Instructional Films, Cognitive Processes, Student Behavior, Psychological Patterns
Pedro Isaias; Tania Hoque; Paula Miranda – International Association for Development of the Information Society, 2024
While the higher education sector is continuously searching for innovative technologies, the use of chatbots requires extensive research and careful consideration of their pedagogical value. The lessons learned from lecturers who experiment with chatbots can constitute important evidence to support their use. This paper presents a chatbot…
Descriptors: Instructional Material Evaluation, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Vida, Leonardo J.; Bolsinova, Maria; Brinkhuis, Matthieu J. S. – International Educational Data Mining Society, 2021
The quality of exams drives test-taking behavior of examinees and is a proxy for the quality of teaching. As most university exams have strict time limits, and speededness is an important measure of the cognitive state of examinees, this might be used to assess the connection between exams' quality and examinees' performance. The practice of…
Descriptors: Accuracy, Test Items, Tests, Student Behavior
Dina A. Zekry; Gerard T. McKee – International Association for Development of the Information Society, 2023
The paper explores current learning approaches. The authors present the Trigger-Based Discussion-Oriented Continuous learning model (TbDoC) that focuses on creating a continuous learning experience over the online and off-line (on-campus) learning environments. The model aims to create a more engaging learning environment that encourages…
Descriptors: Discussion (Teaching Technique), Independent Study, Teaching Models, Electronic Learning
Akpur, Ugur – International Journal of Educational Methodology, 2020
The aim of the present study is to examine the effect level of procrastination on academic achievement. To this end, a meta-analytic approach was applied and the studies published between January 2000 and May 2020 in Education Resources Information Center (ERIC) and Academic Search Ultimate databases were included in the study. The research was…
Descriptors: Time Management, Academic Achievement, Correlation, Predictor Variables
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Kai Li – International Association for Development of the Information Society, 2023
Assessing students' performance in online learning could be executed not only by the traditional forms of summative assessments such as using essays, assignments, and a final exam, etc. but also by more formative assessment approaches such as interaction activities, forum posts, etc. However, it is difficult for teachers to monitor and assess…
Descriptors: Student Evaluation, Online Courses, Electronic Learning, Computer Literacy