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Lijun Shen; Zitsi Mirakhur; Sarah LaCour – Computer Science Education, 2025
Background and Context: Educators and researchers are interested in building the computational thinking (CT) skills of K-12 students. However, the availability of language-agnostic assessments for lower elementary graders remains limited. Objective: We present preliminary insights into the reliability and validity of the Computational Thinking…
Descriptors: Thinking Skills, Gender Differences, Computer Science Education, Elementary School Students
Quality Assurance of Learning Assessments in Large Information Systems and Decision Analysis Courses
Ugray, Zsolt; Dunn, Brian K. – Journal of Information Systems Education, 2022
As Information Systems courses have become both more data-focused and student numbers have increased, there has emerged a greater need to assess technical and analytical skills more efficiently and effectively. Multiple-choice examinations provide a means for accomplishing this, though creating effective multiple-choice assessment items within a…
Descriptors: Quality Assurance, Information Systems, Computer Science Education, Student Evaluation
Dina Kamber Hamzic; Mirsad Trumic; Ismar Hadžalic – International Electronic Journal of Mathematics Education, 2025
Trigonometry is an important part of secondary school mathematics, but it is usually challenging for students to understand and learn. Since trigonometry is learned and used at a university level in many fields, like physics or geodesy, it is important to have an insight into students' trigonometry knowledge before the beginning of the university…
Descriptors: Trigonometry, Mathematics Instruction, Prior Learning, Outcomes of Education
Schoeffel, Pablo; Ramos, Vinicius F. C.; Cechinel, Cristian; Wazlawick, Raul Sidnei – Informatics in Education, 2022
This paper proposes and validates a short and simple Expectancy-Value-Cost scale, called EVC Light. The scale measures the motivation of students in computing courses, allowing the easy and weekly application across a course. One of the factors related directly to the high rate of failure and dropout in computing courses is student motivation.…
Descriptors: Student Motivation, Computer Science Education, Factor Analysis, Student Attitudes
Yildirim, Osman Gazi; Ozdener, Nesrin – International Journal of Computer Science Education in Schools, 2022
The main goal of the current study is to develop a reliable instrument to measure programming anxiety in university students. A pool of 33 items based on extensive literature review and experts' opinions were created by researchers. The draft scale comprised three factors applied to 392 university students from two different universities in Turkey…
Descriptors: Anxiety, Undergraduate Students, Student Attitudes, Factor Analysis
Mahroof, Ameema; Saeed, Muhammad – Bulletin of Education and Research, 2021
This small scale study aims to analyze the question papers of Board of Intermediate and Secondary Education in the subject of computer science with reference to item analysis and Bloom's taxonomy. Data were collected from 100 students of Grade 9th and 10th from the schools of Lahore city using convenient sampling technique. Data collected on the…
Descriptors: Foreign Countries, Secondary Education, Computer Science Education, Item Analysis
Legacy, Chelsey; Zieffler, Andrew; Fry, Elizabeth Brondos; Le, Laura – Statistics Education Research Journal, 2022
The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…
Descriptors: Statistics Education, Introductory Courses, Undergraduate Students, Teaching Methods
Gu, Lin; Ling, Guangming; Liu, Ou Lydia; Yang, Zhitong; Li, Guirong; Kardanova, Elena; Loyalka, Prashant – Assessment & Evaluation in Higher Education, 2021
We examine the effects of computer-based versus paper-based assessment of critical thinking skills, adapted from English (in the U.S.) to Chinese. Using data collected based on a random assignment between the two modes in multiple Chinese colleges, we investigate mode effects from multiple perspectives: mean scores, measurement precision, item…
Descriptors: Critical Thinking, Tests, Test Format, Computer Assisted Testing
Sondakh, Debby Erce; Osman, Kamisah; Zainudin, Suhaila – European Journal of Educational Research, 2020
Studies have acknowledged computational thinking (CT) as an efficient approach for problem-solving particularly required in digital workplaces. This research aims to identify indicators for a holistic CT assessment instrument for undergraduate students. A three-round fuzzy Delphi study has been conducted to gain comprehensive opinions and…
Descriptors: Holistic Approach, Teamwork, Work Environment, Information Technology
Çakiroglu, Ünal; Er, Betul – Informatics in Education, 2020
Considerable effort has been invested in innovative practices about teaching programming. Although the usefulness of metacognition in learning process is acknowledged, evidence demonstrating how metacognitive strategies effect in the programming classrooms is still very scarce. Given the importance of metacognitive strategies, this study seeks to…
Descriptors: Metacognition, Learning Strategies, Programming, Computer Science Education
Khouni, Ouarda; Gasim, Aboubaidah; Al Fahdi, Salah; Al Naabi, Ishaq – English Language Teaching, 2022
Research proved that anxiety plays an essential role in foreign language speaking, especially when it comes to speaking in front of others. Learners in the department of English always show a negative attitude in speaking presentations and tasks in full view of people. The aim of this paper is to investigate the factors that contribute to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
Liu, Ou Lydia; Shaw, Amy; Gu, Lin; Li, Guirong; Hu, Shangfeng; Yu, Ningning; Ma, Liping; Xu, Changqing; Guo, Fei; Su, Qi; Kardanovaj, Elena; Chirikov, Igor; Shi, Jinghuan; Shi, Zhaolei; Wang, Huan; Loyalka, Prashant – Higher Education Research and Development, 2018
Assessing student learning outcomes has become a global trend in higher education. In this paper, we report on the validation of the Chinese HEIghten® Critical Thinking assessment with a nationally representative sample of Electrical Engineering and Computer Science students from 35 institutions in China. Key findings suggest that there was a test…
Descriptors: Foreign Countries, Critical Thinking, Engineering Education, Computer Science Education
Kunkle, Wanda M. – ProQuest LLC, 2010
Many students experience difficulties learning to program. They find learning to program in the object-oriented paradigm particularly challenging. As a result, computing educators have tried a variety of instructional methods to assist beginning programmers. These include developing approaches geared specifically toward novices and experimenting…
Descriptors: Computer Science Education, Programming Languages, Language of Instruction, Academic Achievement
Anderson, Edwin R. – 1975
This study measures the stability of performance exhibited where different computer programing classes study the same material. By focusing standard measurement techniques on the item difficulty (the proportion of students answering an item correctly), it was determined that up to two-thirds of the reliable variance of a classroom test is held in…
Descriptors: College Mathematics, Computer Science Education, Evaluation, Higher Education
Nugent, Gwen; Soh, Leen-Kiat; Samal, Ashok; Lang, Jeff – Computer Science Education, 2006
An introductory CS1 course presents problems for educators and students due to students' diverse background in programming knowledge and exposure. Students who enroll in CS1 also have different expectations and motivations. Prompted by the curricular guidelines for undergraduate programmes in computer science released in 2001 by the ACM/IEEE, and…
Descriptors: Introductory Courses, Computer Science Education, Program Implementation, Screening Tests
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