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Rõõm, Marili; Luik, Piret; Lepp, Marina – Education and Information Technologies, 2023
Learners' success in Massive Open Online Courses (MOOCs) and the factors influencing it have previously been examined mainly upon completion of the course. This approach does not reveal whether learners are fulfilling their initial intentions regarding MOOCs and which factors affect it and thus the individual success of the learners. This…
Descriptors: Academic Achievement, MOOCs, Programming, Computer Science Education
Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
Philip Sands – ProQuest LLC, 2021
Over the past 20 years, the field of computer science has experienced a growth in student interest. Despite this increase in participation rates, longstanding gender gaps persist in computer science. Recent research has examined a wide variety of individual factors (e.g., self-efficacy, sense of belonging, etc.) that impact student interest and…
Descriptors: Computer Science Education, Gender Differences, Prior Learning, Programming
McCord, Rachel; Jeldes, Isaac – Computer Science Education, 2019
Background and Context: Flipped classrooms are becoming more widely adopted across engineering higher education contexts. In degree programs where enrollment is increasing and undergraduate curricula are packed with content, pedagogies that allow more time for actively participate in classroom activities are being highly sought after to aid in…
Descriptors: Computer Software, Computer Science Education, Blended Learning, Intervention
Chen, Chen; Haduong, Paulina; Brennan, Karen A.; Sonnert, Gerhard; Sadler, Philip M. – AERA Online Paper Repository, 2017
The impact of a novice programmer's first language on their subsequent achievement in further computing education has been the subject of much study in the field of computer science education. Our research is a retrospective study of more than 10,000 undergraduate students enrolled in CS1 (introduction to computer programming) from 118 US college…
Descriptors: Undergraduate Students, Computer Science Education, Novices, Programming
Hwang, Wu-Yuin; Hsu, Jung-Lung; Shadiev, Rustam; Chang, Chia-Ling; Huang, Yueh-Min – Journal of Computing in Higher Education, 2015
This study explored the use of self-assessments, journaling, and peer sharing in an online computer programming course. We conducted an experiment using a pretest-intervention-posttest design in which 64 undergraduate first-year students participated. We aimed to investigate whether self-assessment, journaling, and peer sharing can facilitate…
Descriptors: Online Courses, Computer Science Education, Programming, Student Evaluation
He, Wu; Yen, Cherng-Jyh – Journal of Information Systems Education, 2014
More and more information technology (IT) programs are offering distance learning courses to their students. However, to date, there are a very limited number of published articles in the IT education literature that compare how different methods of delivering distance course relate to undergraduate students' learning outcomes in IT software…
Descriptors: Programming, Computer Software, Computer Science Education, Participant Satisfaction
Hoskey, Arthur; Maurino, Paula San Millan – Information Systems Education Journal, 2011
Numerous studies document high drop-out and failure rates for students in computer programming classes. Studies show that even when some students pass programming classes, they still do not know how to program. Many factors have been considered to explain this problem including gender, age, prior programming experience, major, math background,…
Descriptors: College Students, Computer Science Education, Programming, Programming Languages
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

Carswell, Linda; Thomas, Pete; Petre, Marian; Price, Blaine; Richards, Mike – British Journal of Educational Technology, 2000
Compares the experiences of a group of Internet students to those of conventional distance learning students in the same Computer Science course at the Open University (United Kingdom). Discusses learning styles; background questionnaires that included computer use, email experience, programming, education, and attitudes; learning outcomes;…
Descriptors: Academic Achievement, Cognitive Style, Comparative Analysis, Computer Assisted Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers