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Austin M. Shin; Ayaan M. Kazerouni – ACM Transactions on Computing Education, 2024
Background and Context: Students' programming projects are often assessed on the basis of their tests as well as their implementations, most commonly using test adequacy criteria like branch coverage, or, in some cases, mutation analysis. As a result, students are implicitly encouraged to use these tools during their development process (i.e., so…
Descriptors: Feedback (Response), Programming, Student Projects, Computer Software
Ye Qingyi; Wang Liangmin; Pan Senshan; Zhang Yifan; Li Jiayi – Education and Information Technologies, 2024
Information technology advancements have facilitated the widespread adoption of online education, providing learners with more flexible and convenient means of accessing educational resources and completing learning tasks. To improve the quality of online education and promote collaborative learning, online assessment is crucial in this…
Descriptors: Information Technology, Electronic Learning, Online Courses, Assessment Literacy
Shahjad; Mustafa, Khurram – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The goal of this writing was not to promote any particular assessment tool. We aimed to critically explore the numerous assessment techniques that are accessible to app stakeholders with an emphasis on their strengths, shortcomings, and trustworthiness. We underline the importance of a relatively good and research-based tool that can…
Descriptors: Literature Reviews, Educational Technology, Computer Software Evaluation, Evaluation Methods
Erica J. Lewis; Michelle Hesse; Catherine Copeland – Journal on Excellence in College Teaching, 2024
Innovation courses are needed in higher education to meet workforce demands and prepare students for societal challenges. Assessment of outcomes can be challenging in innovation courses, particularly those that leverage diversity to drive innovation. The authors report on assessment methods in one such course at a public university using the…
Descriptors: College Students, Instructional Innovation, Diversity, Performance Based Assessment
Victor K. Y. Chan – International Association for Development of the Information Society, 2023
This article intends to investigate the consistency between a few popular generative AI robots in the evaluation of massive open online course (MOOC) platforms. The four robots experimented with in the study were Claude+, GPT-4, Sage, and Dragonfly, which were tasked with awarding rating scores to the eight major dimensions, namely (1)…
Descriptors: MOOCs, Robotics, Scores, Learning Management Systems