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Brown, Neil C. C.; Weill-Tessier, Pierre; Sekula, Maksymilian; Costache, Alexandra-Lucia; Kölling, Michael – ACM Transactions on Computing Education, 2023
Objectives: Java is a popular programming language for use in computing education, but it is difficult to get a wide picture of the issues that it presents for novices; most studies look only at the types or frequency of errors. In this observational study, we aim to learn how novices use different features of the Java language. Participants:…
Descriptors: Novices, Programming, Programming Languages, Data
Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
Peel, Karen L. – Practical Assessment, Research & Evaluation, 2020
Interest in applied educational research methodology is growing as educators and researchers strive to seek empirical evidence about what is effective teaching within distinctive contexts. However, for beginner researchers who are interested in conducting case studies within educational settings and are looking for an appropriate starting point,…
Descriptors: Educational Research, Content Analysis, Research Methodology, Data Collection
Paassen, Benjamin; McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – Journal of Educational Data Mining, 2021
Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…
Descriptors: Data Analysis, Programming Languages, Networks, Novices
Abulela, Mohammed A. A.; Harwell, Michael M. – Educational Sciences: Theory and Practice, 2020
Data analysis is a significant methodological component when conducting quantitative education studies. Guidelines for conducting data analyses in quantitative education studies are common but often underemphasize four important methodological components impacting the validity of inferences: quality of constructed measures, proper handling of…
Descriptors: Educational Research, Educational Researchers, Novices, Data Analysis
Shapiro, Ben Rydal; Meng, Amanda; Rothschild, Annabel; Gilliam, Sierra; Garrett, Cicely; DiSalvo, Carl; DiSalvo, Betsy – Educational Technology & Society, 2022
Informed by critical data literacy efforts to promote social justice, this paper uses qualitative methods and data collected during two years of workplace ethnography to characterize the notion of critical novice data work. Specifically, we analyze everyday language used by novice data workers at DataWorks, an organization that trains and employs…
Descriptors: Data Analysis, Visual Aids, Novices, Work Environment
Newell, Kirsten W.; Christ, Theodore J. – Assessment for Effective Intervention, 2017
Curriculum-Based Measurement of Reading (CBM-R) is frequently used to monitor instructional effects and evaluate response to instruction. Educators often view the data graphically on a time-series graph that might include a variety of statistical and visual aids, which are intended to facilitate the interpretation. This study evaluated the effects…
Descriptors: Progress Monitoring, Graphs, Curriculum Based Assessment, Reading Tests
Kalman, Mahmut – Qualitative Research in Education, 2019
This study aimed at exploring novice researchers' experiences of and perspectives on the qualitative research journey and determining the difficulties tackled and strategies developed while conducting qualitative research. The study was an interview-based qualitative case study involving nine graduate students in education as the participants. The…
Descriptors: Novices, Researchers, Qualitative Research, Graduate Students
van der Gijp, A.; Ravesloot, C. J.; Jarodzka, H.; van der Schaaf, M. F.; van der Schaaf, I. C.; van Schaik, J. P.; ten Cate, Th. J. – Advances in Health Sciences Education, 2017
Eye tracking research has been conducted for decades to gain understanding of visual diagnosis such as in radiology. For educational purposes, it is important to identify visual search patterns that are related to high perceptual performance and to identify effective teaching strategies. This review of eye-tracking literature in the radiology…
Descriptors: Eye Movements, Clinical Diagnosis, Radiology, Visual Perception
Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
Mühling, Andreas – Computer Science Education, 2016
Concept maps have a long history in educational settings as a tool for teaching, learning, and assessing. As an assessment tool, they are predominantly used to extract the structural configuration of learners' knowledge. This article presents an investigation of the knowledge structures of a large group of beginning CS students. The investigation…
Descriptors: Concept Mapping, Computer Science Education, Novices, Knowledge Level
Berland, Matthew; Davis, Don; Smith, Carmen Petrick – International Journal of Computer-Supported Collaborative Learning, 2015
AMOEBA is a unique tool to support teachers' orchestration of collaboration among novice programmers in a non-traditional programming environment. The AMOEBA tool was designed and utilized to facilitate collaboration in a classroom setting in real time among novice middle school and high school programmers utilizing the IPRO programming…
Descriptors: Computer Science Education, Active Learning, Programming, Novices
Wilang, Jeffrey Dawala; Jantori, Parinda; Chutataweesawas, Sirikoy – Online Submission, 2018
Due to 'pressures' to publish research papers, a group of novice researchers (n = 9) was encouraged to attend a 'Write right' workshop. The participants were asked to fill out a self-report anxiety questionnaire to understand their worries in writing research papers in English. Afterwards, they were asked to write an essay on situations that…
Descriptors: Foreign Countries, College Faculty, Teacher Researchers, Novices
Lundqvist, Mats; Middleton, Karen Williams; Nowell, Pamela – Industry and Higher Education, 2015
Entrepreneurship has been defined as an individual?new value creation dialogic. To study how entrepreneurial identity evolves, this article, drawing on entrepreneurial learning theory, adds an entrepreneurial role expectations dialogic. Longitudinal evidence from nascent entrepreneurs working in venture teams on invention disclosures offers an…
Descriptors: Entrepreneurship, Professional Identity, Novices, Learning Theories
Griswold, Wendy – Studies in Continuing Education, 2017
Future professionals will bear the brunt of creating sustainable societies. Equipping them for the task is the challenge of current educators. Educational experiences facilitating the development of sustainable habits of mind are needed. This research reports on the experiences of developing scientists and engineers engaged in a sustainable energy…
Descriptors: Sustainability, Scientists, Engineering, Novices