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Qian, Yizhou; Lehman, James – Journal of Research on Technology in Education, 2022
This study investigated common student errors and underlying difficulties of two groups of Chinese middle school students in an introductory Python programming course using data in the automated assessment tool (AAT) Mulberry. One group of students was from a typical middle school while the other group was from a high-ability middle school. By…
Descriptors: Middle School Students, Programming, Computer Science Education, Error Patterns
Emery-Wetherell, Meaghan; Wang, Ruoyao – Assessment & Evaluation in Higher Education, 2023
Over four semesters of a large introductory statistics course the authors found students were engaging in contract cheating on Chegg.com during multiple choice examinations. In this paper we describe our methodology for identifying, addressing and eventually eliminating cheating. We successfully identified 23 out of 25 students using a combination…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Cheating, Identification
An Investigation of High School Students' Errors in Introductory Programming: A Data-Driven Approach
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
Qian, Yizhou; Lehman, James D. – SAGE Open, 2019
With the expansion of computer science (CS) education, CS teachers in K-12 schools should be cognizant of student misconceptions and be prepared to help students establish accurate understanding of computer science and programming. Digital tools, such as automated assessment systems, can be useful and supportive in teaching CS courses. This…
Descriptors: Feedback (Response), Student Attitudes, Misconceptions, Introductory Courses
Calvo, Miquel; Carnicer, Artur; Cuadros, Jordi; Martori, Francesc; Miñarro, Antonio; Serrano, Vanessa – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Open-ended tasks are common in Science, Technology, Engineering and Mathematics (STEM) education. However, as far as we know, no tools have been developed to assist in the assessment of the solution process of open-ended questions. In this paper, we propose the use of analysis of traces as a tool to address this need. To illustrate this approach,…
Descriptors: Computer Assisted Testing, STEM Education, Programming Languages, Undergraduate Students
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
Fridge, Evorell; Bagui, Sikha – International Journal of Information and Communication Technology Education, 2016
The goal of this research was to investigate the effects of automated testing software on levels of student reflection and student performance. This was a self-selecting, between subjects design that examined the performance of students in introductory computer programming classes. Participants were given the option of using the Web-CAT…
Descriptors: Computer Assisted Testing, Computer Software, Computer Software Evaluation, Reflection
Andalibi, Mehran – International Journal of Higher Education, 2019
In the study herein aimed at incorporating the entrepreneurship mindset early on in the engineering curriculum of undergraduate students via a final project of an introductory programming course with MATLAB. Students were asked to find a need on campus, in the society, or in the market with a business potential and write a standalone application…
Descriptors: Creative Thinking, Engineering Education, Problem Solving, Entrepreneurship
Willman, Salla; Lindén, Rolf; Kaila, Erkki; Rajala, Teemu; Laakso, Mikko-Jussi; Salakoski, Tapio – Computer Science Education, 2015
Computer aided assessment systems enable the collection of exact time and date information on students' activity on a course. These activity patterns reflect students' study habits and these study habits further predict students' likelihood to pass or fail a course. By identifying such patterns, those who design the courses can enforce positive…
Descriptors: Foreign Countries, Study Habits, Introductory Courses, Programming
Avancena, Aimee Theresa; Nishihara, Akinori; Vergara, John Paul – International Association for Development of the Information Society, 2012
This paper presents the online cognitive and algorithm tests, which were developed in order to determine if certain cognitive factors and fundamental algorithms correlate with the performance of students in their introductory computer science course. The tests were implemented among Management Information Systems majors from the Philippines and…
Descriptors: Foreign Countries, Computer Science Education, High School Students, College Students
Wang, Tiantian; Su, Xiaohong; Ma, Peijun; Wang, Yuying; Wang, Kuanquan – Computers & Education, 2011
Learning to program is a difficult process for novice programmers. AutoLEP, an automated learning and assessment system, was developed by us, to aid novice programmers to obtain programming skills. AutoLEP is ability-training-oriented. It adopts a novel assessment mechanism, which combines static analysis with dynamic testing to analyze student…
Descriptors: Foreign Countries, Feedback (Response), Program Effectiveness, Learning Experience

Cox, Kevin; Clark, David – Computers & Education, 1998
Describes how to construct questions to test all cognitive levels of learning for a course in introductory programming. The framework for learning is based on Bloom's taxonomy. Practical advice is given through examples and by describing a computer system to help deliver quizzes. Includes example questions. (Author/AEF)
Descriptors: Cognitive Processes, Computer Assisted Testing, Computer Science, Computer System Design
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