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Erkan Er; Gökhan Akçapinar; Alper Bayazit; Omid Noroozi; Seyyed Kazem Banihashem – British Journal of Educational Technology, 2025
Despite the growing research interest in the use of large language models for feedback provision, it still remains unknown how students perceive and use AI-generated feedback compared to instructor feedback in authentic settings. To address this gap, this study compared instructor and AI-generated feedback in a Java programming course through an…
Descriptors: Student Evaluation, Student Attitudes, Feedback (Response), Artificial Intelligence
Stanja, Judith; Gritz, Wolfgang; Krugel, Johannes; Hoppe, Anett; Dannemann, Sarah – British Journal of Educational Technology, 2023
Formative assessment is considered to be helpful in students' learning support and teaching design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of teachers can be subdivided into three practices: eliciting evidence, interpreting evidence and responding. Since students' conceptions are judged to be important for…
Descriptors: Formative Evaluation, Student Attitudes, Learning Analytics, Student Evaluation
Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
Chengliang Wang; Xiaojiao Chen; Yifei Li; Pengju Wang; Haoming Wang; Yuanyuan Li – Journal of Educational Computing Research, 2025
This study explored the impact of MetaClassroom, a virtual immersive programming learning environment designed based on the three-dimensional learning progression (3DLP) concept, on students' multidimensional development. Utilizing a quasi-experimental research design, this study compared students' programming learning achievements (PLA),…
Descriptors: Programming, Computer Science Education, Metacognition, Computer Simulation
Riese, Emma; Stenbom, Stefan – IEEE Transactions on Education, 2023
Contribution: This study evaluates the generalizability of previously identified perceptions among engineering students of assessments in introductory programming (CS1). The students' perceptions of their instructors' and teaching assistants' (TAs) roles in these assessments are also studied, and differences based on prior programming experience,…
Descriptors: Student Attitudes, Educational Experience, Computer Science Education, Student Evaluation
Roslyn Arlin Mickelson; Ian Mikkelsen; Mohsen Dorodchi; Bojan Cukic; Caitlin Petro; Zelaya Al Ayeisha; Shakayla Alston; Anthony Teddy; Myat Win; Sandra Wiktor; Barry Sherman; Jeffrey Cook – School Community Journal, 2024
Students from underrepresented populations--females, working class, and youth from marginalized racial/ethnic groups--are less likely than their middle-class Asian and White male peers to study computer science (CS) in college. The dearth of CS undergraduates from these groups contributes to projected labor force shortages. Sources of the dilemma…
Descriptors: Middle School Students, Computer Science Education, Partnerships in Education, Minority Group Students
Caspari-Sadeghi, Sima; Mille, Elena; Epperlein, Hella; Forster-Heinlein, Brigitte – Mathematics Teaching Research Journal, 2022
This collaborative action research highlights the need for developing students' evaluative competence and self-reflection by embedding self-and-peer assessment into online instruction. Over the course of a semester in an online master program in mathematics and computer sciences, students conducted research on assigned topics, held presentations,…
Descriptors: Graduate Students, Masters Programs, College Mathematics, Mathematics 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
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
Elmas, Mevlüt; Özden, M. Yasar – Online Submission, 2022
Everyday, technology in our life changes quickly. Every development made by humans in the field of technology affects the way of our life, and education is not an exception. We now have a variety of learning methods in addition to conventional, in-person instruction. This research was carried out in the "Computer for Low" (ITEC190) and…
Descriptors: Teaching Methods, Blended Learning, Computer Literacy, Computer Science Education
Puertas, Eloi – Journal of Technology and Science Education, 2022
During the past COVID pandemic crisis, teachers of any level must adapt their teaching methodologies to an online learning environment. One of the fears most aspects was the course assessment. Nonetheless, a lot of teachers were attracted to using new tools, that previously exists on their online platforms. In Universitat de Barcelona learning was…
Descriptors: COVID-19, Pandemics, Engineering Education, Foreign Countries
Laura Roberts; Joanne Berry – Journal of Learning Development in Higher Education, 2023
The mass shift to Open-Book, Open-Web (OBOW) assessments during the pandemic highlighted new opportunities in Higher Education for developing accessible, authentic assessments that can reduce administrative load. Despite a plethora of research emerging on the effectiveness of OBOW assessments within disciplines, few currently evaluate their…
Descriptors: Test Format, Science Tests, College Science, Student Evaluation
Olipas, Cris Norman P. – Online Submission, 2022
This study aimed to evaluate the instructional learning modules used for Application Development and Emerging Technologies course. Specifically, it evaluates the content, teaching and learning, support and feedback, and assessment variables through student perspectives. It also seeks to understand the views of the students on what they like the…
Descriptors: Student Attitudes, Information Technology, Feedback (Response), Teaching Methods
The MOSAICS Model of Educational Approaches for Teaching the Practice of Software Project Management
Boiangiu, Costin-Anton; Stanica, Iulia-Cristina – Education Sciences, 2019
Maybe you heard the line "managing programmers is like herding cats", and if you consider there is some truth behind this, then you should, perhaps, think how it is to teach people to perform this job. As we know from the research literature, there is no such thing as a consensus about the most suitable teaching method of a software…
Descriptors: Models, Teaching Methods, Computer Software, Programming