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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
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Fernandez-Gauna, Borja; Rojo, Naiara; Graña, Manuel – International Journal of Educational Technology in Higher Education, 2023
We describe an automated assessment process for team-coding assignments based on DevOps best practices. This system and methodology includes the definition of Team Performance Metrics measuring properties of the software developed by each team, and their correct use of DevOps techniques. It tracks the progress on each of metric by each group. The…
Descriptors: Computer Software, Programming, Coding, Teamwork
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Ernesto Panadero; Alazne Fernández Ortube; Rebecca Krebs; Julian Roelle – Assessment & Evaluation in Higher Education, 2025
Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…
Descriptors: Scoring Rubrics, Teaching Methods, Learning Processes, Feedback (Response)
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Paraskevi Topali; Ruth Cobos; Unai Agirre-Uribarren; Alejandra Martínez-Monés; Sara Villagrá-Sobrino – Journal of Computer Assisted Learning, 2024
Background: Personalised and timely feedback in massive open online courses (MOOCs) is hindered due to the large scale and diverse needs of learners. Learning analytics (LA) can support scalable interventions, however they often lack pedagogical and contextual grounding. Previous research claimed that a human-centred approach in the design of LA…
Descriptors: Learning Analytics, MOOCs, Feedback (Response), Intervention
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Dmytro Babik; Edward Gehringer; Jennifer Kidd; Kristine Sunday; David Tinapple; Steven Gilbert – Educational Technology Research and Development, 2024
Over the past two decades, there has been an explosion of innovation in software tools that encapsulate and expand the capabilities of the widely used student peer assessment. While the affordances and pedagogical impacts of traditional in-person, "paper-and-pencil" peer assessment have been studied extensively and are relatively well…
Descriptors: Peer Evaluation, Computer Software, Internet, Electronic Learning
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Carmen C. Pârvu; Dan Alexandru Szabo; Razvan Tudor Ros?culet; George Danut Mocanu – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study aims to evaluate the effectiveness of a novel Computerized System for Learning, Correction, and Evaluation in Volleyball (S.C.I.C.E.V) in enhancing the technical performance of beginner volleyball players through immediate audio and visual feedback. The purpose is to determine whether real-time, detailed feedback improves…
Descriptors: Feedback (Response), Psychomotor Skills, Motor Development, Team Sports
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Mehmet Dönmez – International Journal of Assessment Tools in Education, 2024
This bibliometric analysis offers a comprehensive examination of AIbased feedback tools in education, utilizing data retrieved from the Web of Science (WoS) database. Encompassing a total of 239 articles from an expansive timeframe, spanning from inception to February 2024, this study provides a thorough overview of the evolution and current state…
Descriptors: Artificial Intelligence, Feedback (Response), Technology Uses in Education, Individualized Instruction
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Filip Moons; Alexander Holvoet; Katrin Klingbeil; Ellen Vandervieren – British Journal of Educational Technology, 2024
In this crossover experiment, we investigated the impact of a statement bank, enabling the reuse of previously written feedback (SA condition), on 45 math teachers' feedback for 60 completed linear equation tests, compared to traditional pen-and-paper feedback (PP condition). In the SA condition, teachers were encouraged to use atomic feedback, a…
Descriptors: Feedback (Response), Equations (Mathematics), Written Language, Mathematics Teachers
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Artur Fredyk; Agata Bara; Anna Brachman; Grzegorz Sobota; Bogdan Bacik – Research in Dance Education, 2024
One of the basic skills of a dancer is the ability to keep the body balance ("aplomb") while performing various dance figures. These movements are often performed with limited vision control due to dynamic motion or environmental conditions. Our aim was to verify whether the exercises with eyes closed of the ballet school students would…
Descriptors: Dance, Psychomotor Skills, Dance Education, Human Posture
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Khameel B. Mustapha; Eng Hwa Yap; Yousif Abdalla Abakr – Interactive Technology and Smart Education, 2024
Purpose: Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of…
Descriptors: Engineering Education, Artificial Intelligence, Computer Software, Synchronous Communication
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Nuo Cheng; Wei Zhao; Xiaoqing Xu; Hongxia Liu; Jinhong Tao – Education and Information Technologies, 2024
Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Ability, Online Courses
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Yanping Geng; Reem Alshahrani; Hana Mohammed Mujlid – European Journal of Education, 2025
The Fuzzy Analytic Hierarchy Process (FAHP) was employed to evaluate and rank language-learning applications based on criteria such as engagement, interactivity, feedback, content quality and usability. A pairwise comparison matrix was constructed, fuzzy logic was applied to convert qualitative judgements into numerical values, and these values…
Descriptors: Second Language Learning, Social Media, Handheld Devices, Computer Software
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Yang Jiang; Beata Beigman Klebanov; Jiangang Hao; Paul Deane; Oren E. Livne – Journal of Computer Assisted Learning, 2025
Background: Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed…
Descriptors: Feedback (Response), Writing Evaluation, Middle School Students, High School Students
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McCarron, Karen B.; Park, Taewoo; Ellis, Yvonne – Journal of Instructional Pedagogies, 2023
This study extends the work of Park and Ellis (2020) with its use of randomized data in Excel® assignments by incorporating a feedback feature that allows students to check their work before submitting it for grading. Three groups of intermediate accounting students complete identical assignments that vary only in the mode of data delivery. One…
Descriptors: Accounting, Business Administration Education, Undergraduate Students, Computer Software
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Hongwen Guo; Matthew S. Johnson; Kadriye Ercikan; Luis Saldivia; Michelle Worthington – Journal of Learning Analytics, 2024
Large-scale assessments play a key role in education: educators and stakeholders need to know what students know and can do, so that they can be prepared for education policies and interventions in teaching and learning. However, a score from the assessment may not be enough--educators need to know why students got low scores, how students engaged…
Descriptors: Artificial Intelligence, Learning Analytics, Learning Management Systems, Measurement
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