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Ronit Shmallo; Adi Katz – Computer Science Education, 2024
Background and Context: Gender research shows that women are better at reading comprehension. Other studies indicate a lower tendency in women to choose STEM professions. Since data modeling requires reading skills and also belongs in the areas of information systems and computer science (STEM professions), these findings provoked our curiosity.…
Descriptors: Gender Differences, Transfer of Training, Databases, Models
Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
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
Rashkovits, Rami; Lavy, Ilana – International Journal of Information and Communication Technology Education, 2020
The present study examines the difficulties novice data modelers face when asked to provide a data model addressing a given problem. In order to map these difficulties and their causes, two short data modeling problems were given to 82 students who had completed an introductory course in database modeling. Both problems involve three entity sets…
Descriptors: Models, Data, Undergraduate Students, Computer Science Education
Sibbald, Matt; Sherbino, Jonathan; Ilgen, Jonathan S.; Zwaan, Laura; Blissett, Sarah; Monteiro, Sandra; Norman, Geoffrey – Advances in Health Sciences Education, 2019
There is an ongoing debate regarding the cause of diagnostic errors. One view is that errors result from unconscious application of cognitive heuristics; the alternative is that errors are a consequence of knowledge deficits. The objective of this study was to compare the effectiveness of checklists that (a) identify and address cognitive biases…
Descriptors: Bias, Check Lists, Novices, Graduate Medical Education
Jegede, Philip Olu; Olajubu, Emmanuel Ajayi; Ejidokun, Adekunle Olugbenga; Elesemoyo, Isaac Oluwafemi – Journal of Information Technology Education: Innovations in Practice, 2019
Aim/Purpose: The study examined types of errors made by novice programmers in different Java concepts with students of different ability levels in programming as well as the perceived causes of such errors. Background: To improve code writing and debugging skills, efforts have been made to taxonomize programming errors and their causes. However,…
Descriptors: Programming Languages, Programming, Low Achievement, High Achievement
Harrison, Gina L.; Goegan, Lauren D.; Macoun, Sarah J. – Canadian Journal of School Psychology, 2019
This study examined the scoring errors across three widely used achievement tests (Kaufman Test of Educational Achievement--Second Edition [KTEA-2], Woodcock--Johnson Tests of Achievement--Third Edition [WJ-III], and the Wechsler Individual Achievement Test--Third Edition [WIAT-III]) by novice examiners. A total of 114 protocols were evaluated for…
Descriptors: Scoring, Error Patterns, Achievement Tests, Novices
Schneider, Kent N.; Becker, Lana L.; Berg, Gary G. – Accounting Education, 2017
Given that the usage and complexity of spreadsheets in the accounting profession are expected to increase, it is more important than ever to ensure that accounting graduates are aware of the dangers of spreadsheet errors and are equipped with design skills to minimize those errors. Although spreadsheet mechanics are prevalent in accounting…
Descriptors: Accounting, Spreadsheets, Error Patterns, Error Correction
Conrad, Susan – Journal of Engineering Education, 2017
Background: Numerous studies have identified a gap between the writing skills of engineering program graduates and the demands of writing in the workplace; however, few studies have analyzed the writing of practitioners and students to better understand that gap and inform teaching materials. Purpose: This study sought to compare word-level,…
Descriptors: College Students, Engineering Education, Civil Engineering, Writing Skills
Naydan, Michael M.; Ivanytska, Mariia; Perminova, Alla – Advanced Education, 2019
The article discusses the development of the linguistic identity of a novice literary translator in the course of academic training. The authors claim that teaching literary translation presupposes creating an academic environment conducive to untapping the creative potential of translation students. The paper describes an experiment in which 30…
Descriptors: Literature, Translation, Self Concept, Language Processing
Becker, Brett A.; Glanville, Graham; Iwashima, Ricardo; McDonnell, Claire; Goslin, Kyle; Mooney, Catherine – Computer Science Education, 2016
Programming is an essential skill that many computing students are expected to master. However, programming can be difficult to learn. Successfully interpreting compiler error messages (CEMs) is crucial for correcting errors and progressing toward success in programming. Yet these messages are often difficult to understand and pose a barrier to…
Descriptors: Computer Science Education, Programming, Novices, Error Patterns
Veerasamy, Ashok Kumar; D'Souza, Daryl; Laakso, Mikko-Jussi – Journal of Educational Technology Systems, 2016
This article presents a study aimed at examining the novice student answers in an introductory programming final e-exam to identify misconceptions and types of errors. Our study used the Delphi concept inventory to identify student misconceptions and skill, rule, and knowledge-based errors approach to identify the types of errors made by novices…
Descriptors: Computer Science Education, Programming, Novices, Misconceptions