NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 11 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ben-Yaacov, Anat; Hershkovitz, Arnon – Journal of Educational Computing Research, 2023
Block programming has been suggested as a way of engaging young learners with the foundations of programming and computational thinking in a syntax-free manner. Indeed, syntax errors--which form one of two broad categories of errors in programming, the other one being logic errors--are omitted while block programming. However, this does not mean…
Descriptors: Programming, Computation, Thinking Skills, Error Patterns
Peer reviewed Peer reviewed
Direct linkDirect link
Qian, Yizhou; Lehman, James – Journal of Educational Computing Research, 2020
This study implemented a data-driven approach to identify Chinese high school students' common errors in a Java-based introductory programming course using the data in an automated assessment tool called the Mulberry. Students' error-related behaviors were also analyzed, and their relationships to success in introductory programming were…
Descriptors: High School Students, Error Patterns, Introductory Courses, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Tsai, Yea-Ru; Ouyang, Chen-Sen; Chang, Yukon – Journal of Educational Computing Research, 2016
The purpose of this study is to propose a diagnostic approach to identify engineering students' English reading comprehension errors. Student data were collected during the process of reading texts of English for science and technology on a web-based cumulative sentence analysis system. For the analysis, the association-rule, data mining technique…
Descriptors: Engineering Education, English (Second Language), Reading Comprehension, Language Proficiency
Peer reviewed Peer reviewed
Direct linkDirect link
Piksööt, Jaanika; Sarapuu, Tago – Journal of Educational Computing Research, 2014
This study investigates ways to enhance secondary school students' knowledge transfer in complex science domains by implementing question prompts. Two samples of students applied two web-based models to study molecular genetics--the model of genetic code (n = 258) and translation (n = 245). For each model, the samples were randomly divided into…
Descriptors: Transfer of Training, Prompting, Questioning Techniques, Genetics
Peer reviewed Peer reviewed
Direct linkDirect link
Kadijevich, Djordje M. – Journal of Educational Computing Research, 2012
By using a sample of 1st-year undergraduate business students, this study dealt with the development of simple (deterministic and non-optimization) spreadsheet models of income statements within an introductory course on business informatics. The study examined students' errors in doing this for business situations of their choice and found three…
Descriptors: Foreign Countries, Spreadsheets, Decision Support Systems, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Rodrigo, Ma. Mercedes T.; Andallaza, Thor Collin S.; Castro, Francisco Enrique Vicente G.; Armenta, Marc Lester V.; Dy, Thomas T.; Jadud, Matthew C. – Journal of Educational Computing Research, 2013
In this article we quantitatively and qualitatively analyze a sample of novice programmer compilation log data, exploring whether (or how) low-achieving, average, and high-achieving students vary in their grasp of these introductory concepts. High-achieving students self-reported having the easiest time learning the introductory programming…
Descriptors: Programming, High Achievement, Introductory Courses, Qualitative Research
Peer reviewed Peer reviewed
Direct linkDirect link
Priem, Jason – Journal of Educational Computing Research, 2010
The study of student error, important across many fields of educational research, has begun to attract interest in the field of e-learning, particularly in relation to usability. However, it remains unclear when errors should be avoided (as usability failures) or embraced (as learning opportunities). Many domains have benefited from taxonomies of…
Descriptors: Electronic Learning, Educational Research, Distance Education, Classification
Peer reviewed Peer reviewed
Pea, Roy D. – Journal of Educational Computing Research, 1986
Three classes of conceptual bugs presenting obstacles to all novice programmers and not related to any specific program--parallelism, intentionality, and egocentrism--are identified and exemplified through student errors. It is suggested these bugs are rooted in students' intuitive feeling that programming languages, like humans, have intelligent,…
Descriptors: Classification, Egocentrism, Error Patterns, Intuition
Peer reviewed Peer reviewed
Rath, Alex; Brown, David E. – Journal of Educational Computing Research, 1995
Presents a human-computer interaction (HCI) conceptions model designed to help in the understanding of the cognitive processes involved when college students learn to program computers. Examines syntactic and algorithmic HCI operational errors and reviews conceptions based on natural language reasoning, independent computer reasoning, and…
Descriptors: Cognitive Processes, College Students, Computers, Designers
Peer reviewed Peer reviewed
Putnam, Ralph T.; And Others – Journal of Educational Computing Research, 1986
High school students' misunderstandings of the conceptual machine of the BASIC programming language were examined using a screening test and structured interviews to determine their understanding of fundamental concepts such as variables, assignments, loops, flow and control, and tracing and debugging. (MBR)
Descriptors: Abstract Reasoning, Achievement Rating, Error Patterns, Interviews
Peer reviewed Peer reviewed
Taylor, Holly A.; Jensen, Michael D.; Renshaw, Carl E. – Journal of Educational Computing Research, 1997
Describes two studies that assessed decision-making skills using common cognitive errors and evaluated the impact of computer-based role-playing exercises on the development of these skills. Results with high school students, undergraduates, and earth science professionals are discussed which indicate that well-designed computer-based laboratories…
Descriptors: Cognitive Development, Computer Simulation, Computer Uses in Education, Decision Making