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Dorottya Demszky; Jing Liu; Heather C. Hill; Dan Jurafsky; Chris Piech – Educational Evaluation and Policy Analysis, 2024
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource-intensive in most educational contexts. We develop M-Powering Teachers, an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage…
Descriptors: Online Courses, Automation, Feedback (Response), Large Group Instruction
Rõõm, Marili; Lepp, Marina; Luik, Piret – Education Sciences, 2021
One of the problems regarding MOOCs (Massive Open Online Courses) is the high dropout rate. Although dropout periods have been studied, there is still a lack of understanding of how dropout differs for MOOCs with different levels of difficulty. A quantitative study was conducted to determine the periods with the highest dropouts in computer…
Descriptors: Online Courses, Large Group Instruction, Dropout Rate, Programming
Nathan H. Bean – ProQuest LLC, 2022
Learning to program has long been known to be a difficult task, requiring a student to develop both fluency in the syntax and grammar of a formal programming language and learn the problem-solving approaches and techniques of computational thinking. The successful teaching strategies of the past have involved maintaining small teacher-student…
Descriptors: Algorithms, Coding, Supplementary Education, Programming
Säde, Merilin; Suviste, Reelika; Luik, Piret – Education Sciences, 2021
Massive open online courses (MOOCs) can potentially affect the lives of millions of people, but there is little research on how a programming MOOC could affect participants' lives after participation. In Estonia, we have organised several programming MOOCs over the years, attended by over 14,000 people. This inspired us to develop and validate a…
Descriptors: Online Courses, Programming, Foreign Countries, Computer Science Education
Luik, Piret; Lepp, Marina – International Review of Research in Open and Distributed Learning, 2021
Computer programming MOOCs attract people who have different motivations. Previous studies have hypothesized that the motivation declared before starting the course can be an important predictor of distinctive dropout rates. The aim of this study was to outline the main motivation clusters of participants in a computer programming MOOC, and to…
Descriptors: Student Motivation, Programming, Online Courses, Large Group Instruction
Luik, Piret; Suviste, Reelika; Lepp, Marina; Palts, Tauno; Tõnisson, Eno; Säde, Merilin; Papli, Kaspar – British Journal of Educational Technology, 2019
Learners who enrol in massive open online courses (MOOCs) have different backgrounds and tend to have different motivations than learners in traditional courses. Based on value-expectancy theory, an instrument was developed to measure motivation for enrolling in a programming MOOC. A study with 1229 adult participants in Estonian-language…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Enrollment
Donoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
Luik, Piret; Feklistova, Lidia; Lepp, Marina; Tõnisson, Eno; Suviste, Reelika; Gaiduk, Maria; Säde, Merilin; Palts, Tauno – Education and Information Technologies, 2019
There are millions of MOOC participants who vary in gender, age, educational level, employment status, intentions, etc. Although MOOC participants' characteristics have been studied, there is still a lack of knowledge of the divergence between the participants and completers of MOOCs with different levels of difficulty. The term 'level of…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Rebecca Smith – ProQuest LLC, 2019
In recent years, computer science has become a cornerstone of modern society. As a result, enrollment in undergraduate computer science programs has expanded rapidly. While the influx of talent into the field will undoubtedly lead to countless technological developments, this growth also brings new pedagogical challenges. Educational resources,…
Descriptors: Computer Science Education, Individualized Instruction, Interaction, Learning Experience
Moreno-Marcos, Pedro Manuel; Alario-Hoyos, Carlos; Munoz-Merino, Pedro J.; Estevez-Ayres, Iria; Kloos, Carlos Delgado – IEEE Transactions on Learning Technologies, 2019
One of the characteristics of massive open online courses (MOOCs) is that the overall number of social interactions tend to be higher than in traditional courses, hindering the analysis of social learning. Learners typically ask or answer questions using the forum. This makes messages a rich source of information, which can be used to infer…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Kurzweil, Martin – Change: The Magazine of Higher Learning, 2018
Postsecondary training--and a credential recognizing it--have become all but essential in the twenty-first-century economy. The reasons for this are complex, but rapid innovation in services and products--including the increasing integration of technology--and the resulting evolving nature of work are surely factors. These shifts have placed a…
Descriptors: Postsecondary Education, Nontraditional Education, Nontraditional Students, Costs
Cain, A.; Grundy, J.; Woodward, C. J. – European Journal of Engineering Education, 2018
Approaches to learning have been shown to have a significant impact on student success in technical units. This paper reports on an action research study that applied the principles of constructive alignment to improve student learning outcomes in programming units. The proposed model uses frequent formative feedback to engage students with unit…
Descriptors: Portfolio Assessment, Alignment (Education), Task Analysis, Action Research
An, Truong-Sinh; Krauss, Christopher; Merceron, Agathe – International Educational Data Mining Society, 2017
The emergence of Massive Open Online Courses (MOOCs) has enabled new research to analyze typical behaviors of learners. In this paper, we investigate whether this research is generalizable to other courses that are backed by a learning management system (LMS) as MOOCs are. Building on methods developed by others, we characterize individual…
Descriptors: Large Group Instruction, Online Courses, Student Behavior, College Students
Majid al-Rifaie, Mohammad; Yee-King, Matthew; d'Inverno, Mark – International Educational Data Mining Society, 2016
This paper proposes a new technique for analysing the behaviour of students on an online course. This work considers a range of social learning behaviours supported in our recently designed and implemented collaborative learning system which supports students giving and receiving feedback on each other's developing work and practice. The course…
Descriptors: Student Behavior, Online Courses, Social Behavior, Data Analysis
Király, Sándor; Nehéz, Károly; Hornyák, Olivér – Research in Learning Technology, 2017
Recently, massive open online courses (MOOCs) have been offering a new online approach in the field of distance learning and online education. A typical MOOC course consists of video lectures, reading material and easily accessible tests for students. For a computer programming course, it is important to provide interactive, dynamic, online coding…
Descriptors: Large Group Instruction, Online Courses, Distance Education, Educational Technology