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Yesengazyevna, Sagimbayeva Ainur; Sailaugul, Avdarsol; Meruert, Yerekesheva; Mynturganovna, Baiganova Altynzer; Daurenbekov, Kuanysh – Cypriot Journal of Educational Sciences, 2022
Everyone uses a traditional five-point grading system to assess students' activities, however, it is not always possible to objectively evaluate students' work using this method. Therefore, the authors use the criteria-based student assessment system in our lessons. The purpose of this article was to compile a model of a system for assessing…
Descriptors: Student Evaluation, Computer Literacy, Evaluation Criteria, Mastery Learning
Li, Tingxuan – ProQuest LLC, 2019
In order to achieve broadening participation in computer science and other careers related to computing, middle school classrooms should provide students opportunities (tasks) to think like a computer scientist. Researchers in computing education promote the idea that programming skill should not be a pre-requisite for students to display…
Descriptors: Cognitive Measurement, Computation, Thinking Skills, Computer Science
Jobs for the Future, 2022
This research explores how COVID has impacted technology internships, including student and employer participation, satisfaction, and challenges; changes in the structure of internships; and impact on student employment outcomes. The roots of this study emerged in summer of 2021, as the authors were completing a three-year study funded by the…
Descriptors: Community Colleges, Internship Programs, COVID-19, Pandemics
Joy, Lois; O'Reilly, Fran; Longo, Matthew; Estacion, Angela – Jobs for the Future, 2022
This research is about how one community college preserved and strengthened their technology internships during COVID with commitment and creativity. Although the college, employers, and students faced technical, logistical, and supervisory challenges in maintaining technology internships through the pandemic, the college was committed to ensuring…
Descriptors: Community Colleges, Internship Programs, COVID-19, Pandemics
McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2016
Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…
Descriptors: Data Collection, Student Behavior, Academic Achievement, Correlation
Othman, Mahfudzah; Muhd Zain, Nurzaid – Turkish Online Journal of Distance Education, 2015
This study is primarily focused on assessing the students' logical thinking and cognitive levels in an online collaborative environment. The aim is to investigate whether the online collaboration has significant impact to the students' cognitive abilities. The assessment of the logical thinking involved the use of the online Group Assessment…
Descriptors: Cognitive Ability, Online Courses, Cooperative Learning, Foreign Countries
Dugan, Robert F., Jr. – Computer Science Education, 2011
In this article, we surveyed literature related to undergraduate computer science capstone courses. The survey was organized around course and project issues. Course issues included: course models, learning theories, course goals, course topics, student evaluation, and course evaluation. Project issues included: software process models, software…
Descriptors: Learning Theories, Student Evaluation, Course Evaluation, Computer Software
Bryfczynski, Samuel Paul – ProQuest LLC, 2012
This dissertation describes a novel intelligent tutoring system, BeSocratic, which aims to help fill the gap between simple multiple-choice systems and free-response systems. BeSocratic focuses on targeting questions that are free-form in nature yet defined to the point which allows for automatic evaluation and analysis. The system includes a set…
Descriptors: Intelligent Tutoring Systems, Multiple Choice Tests, Feedback (Response), Questioning Techniques
Campbell, Jennifer; Gibbs, Alison L.; Najafi, Hedieh; Severinski, Cody – International Review of Research in Open and Distance Learning, 2014
The advent of massive open online courses (MOOCs) has created opportunities for learning that are clearly in high demand, but the direction in which MOOCs should evolve to best meet the interests and needs of learners is less apparent. Motivated by our interest in whether there are potential and purpose for archived MOOCs to be used as learning…
Descriptors: Online Courses, Large Group Instruction, Intention, Student Behavior
Correll, N.; Wing, R.; Coleman, D. – IEEE Transactions on Education, 2013
This paper describes a one-year introductory robotics course sequence focusing on computational aspects of robotics for third- and fourth-year students. The key challenges this curriculum addresses are "scalability," i.e., how to teach a robotics class with a limited amount of hardware to a large audience, "student assessment,"…
Descriptors: Introductory Courses, Robotics, Course Descriptions, Simulation
Bjelica, Momcilo; Rankovic, Dragica – Turkish Online Journal of Distance Education, 2010
The development of computer science, statistics and other technological fields, give us more opportunities to improve the process of evaluation of degree of knowledge and achievements in a learning process of our students. More and more we are relying on the computer software to guide us in the grading process. An improved way of grading can help…
Descriptors: Evaluation Methods, Student Evaluation, Distance Education, Academic Achievement
Bouzidi, L'hadi; Jaillet, Alain – Educational Technology & Society, 2009
The excessive workload generated by the assessment of exam papers in large classes and the need to give feedback in time often constitute a rather heavy burden for teachers. The online peer assessment can contribute to reduce this workload and, possibly, to improve learning quality by assigning the assessment task to students. However, this raises…
Descriptors: Feedback (Response), Peer Evaluation, Computer Science, Engineering
Furge, Laura Lowe; Stevens-Truss, Regina; Moore, D. Blaine; Langeland, James A. – Biochemistry and Molecular Biology Education, 2009
Bioinformatics education for undergraduates has been approached primarily in two ways: introduction of new courses with largely bioinformatics focus or introduction of bioinformatics experiences into existing courses. For small colleges such as Kalamazoo, creation of new courses within an already resource-stretched setting has not been an option.…
Descriptors: Curriculum Development, Interdisciplinary Approach, Chemistry, Active Learning
Hughes, Connor; Buckley, Jim; Exton, Chris; O'Carroll, Des – Computer Science Education, 2005
This paper proposes an evaluation framework for assessing students' comprehension of concurrent programs. The need for such a framework is illustrated by a review of various Computer Science Education forums. This review suggests that there is little pedagogical research in the area of concurrent software, particularly with respect to assessing…
Descriptors: Programming, Computer Science Education, Computer Software, Computer Science

Konvalina, John; And Others – AEDS Journal, 1983
Examines the effects of high school performance, high school and university mathematics background, previous computer experience, and age on computer science aptitude and achievement as measured by a computer science aptitude test and final exam respectively. Methodology and analysis of results by stepwise regression are presented. (EAO)
Descriptors: Academic Achievement, Academic Aptitude, Aptitude Tests, Computer Science