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Mario Vallarino; Saverio Iacono; Edoardo Bellanti; Gianni V. Vercelli – IEEE Transactions on Learning Technologies, 2024
This article introduces a novel approach to remote laboratory instruction, specifically designed for teaching three-dimensional modeling using Blender software. The lab uses virtual machines to provide students with the necessary computational power to carry out the course activities, along with the correct version of the software. The flipped…
Descriptors: Flipped Classroom, Distance Education, Laboratories, Peer Evaluation
Xu, Wenna – ProQuest LLC, 2022
Teaching quality has long been a critical issue concerned by both educators and researchers in higher education. Many studies have proved that peer review of teaching (PRT), as one subtype of educational evaluation, can be an effective means to improve faculty teaching practices. This study aims to examine how PRT works to improve teaching quality…
Descriptors: Peer Evaluation, Teacher Evaluation, Teacher Improvement, College Faculty
Hernandez-Gonzalez, Jeronimo; Herrera, Pedro Javier – IEEE Transactions on Learning Technologies, 2023
In peer assessment, students assess a task done by their peers, provide feedback and usually a grade. The extent to which these peer grades can be used to formally grade the task is unclear, with doubts often arising regarding their validity. The instructor could supervise the peer assessments, but would not then benefit from workload reduction,…
Descriptors: Peer Evaluation, Supervision, Models, Computation
Namanloo, Alireza A.; Thorpe, Julie; Salehi-Abari, Amirali – International Educational Data Mining Society, 2022
Peer assessment systems are emerging in many settings, such as peer grading in large (online) classes, peer review in conferences, peer art evaluation, etc. However, peer assessments might not be as accurate as expert evaluations, thus rendering these systems unreliable. The reliability of peer assessment systems is influenced by various factors…
Descriptors: Peer Evaluation, Graphs, Models, Self Evaluation (Individuals)
To, Jessica; Panadero, Ernesto; Carless, David – Assessment & Evaluation in Higher Education, 2022
The analysis of exemplars of different quality is a potentially powerful tool in enabling students to understand assessment expectations and appreciate academic standards. Through a systematic review methodology, this paper synthesises exemplar-based research designs, exemplar implementation and the educational effects of exemplars. The review of…
Descriptors: Research Design, Scoring Rubrics, Peer Evaluation, Self Evaluation (Individuals)
Nakayama, Minoru; Sciarrone, Filippo; Temperini, Marco; Uto, Masaki – International Journal of Distance Education Technologies, 2022
Massive open on-line courses (MOOCs) are effective and flexible resources to educate, train, and empower populations. Peer assessment (PA) provides a powerful pedagogical strategy to support educational activities and foster learners' success, also where a huge number of learners is involved. Item response theory (IRT) can model students'…
Descriptors: Item Response Theory, Peer Evaluation, MOOCs, Models
Latifi, Saeed; Noroozi, Omid; Talaee, Ebrahim – Interactive Learning Environments, 2023
This study compared the effects of worked example and scripting on students' argumentative peer feedback, essay and learning qualities. Participants were 80 BSc students who were randomly divided over 40 dyads and assigned to two experimental conditions (worked example and scripting). An online peer feedback environment named EduTech was designed…
Descriptors: Persuasive Discourse, Writing (Composition), Essays, Writing Evaluation
Abby Mcguire; Warda Qureshi; Mariam Saad – International Journal of Technology in Education, 2024
Building on previous research that has demonstrated close connections between constructivism, technology, and artificial intelligence, this article investigates the constructivist underpinnings of strategically integrating GenAI experiences in higher educational contexts to catalyze student learning. This study presents a new model for leveraging…
Descriptors: Constructivism (Learning), Models, Artificial Intelligence, Individualized Instruction
de Oliveira, Talita Moreira; Amaral, Livio; Pacheco, Roberto Carlos dos Santos – Research Evaluation, 2019
There is a growing interest in multi/inter/transdisciplinary (MIT-D) work, which requires increasing levels of knowledge and co-production interaction. Many studies have addressed this theme with different approaches such as the nature of transversal scientific subjects, the concept of knowledge integration, and the dynamics of research groups to…
Descriptors: Models, Evaluation, Graduate Study, Foreign Countries
Topping, Keith – Education Sciences, 2021
The present paper offers a definition of peer assessment and then reviews the major syntheses on its effectiveness. However, the main part of this paper is preoccupied with how to do PA successfully. A typology of 44 elements explains the differences between the many types of peer assessment. Then a theoretical model outlines some of the processes…
Descriptors: Peer Evaluation, Definitions, Program Effectiveness, Models
Jia, Qinjin; Cui, Jialin; Xiao, Yunkai; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2021
Peer assessment has been widely applied across diverse academic fields over the last few decades, and has demonstrated its effectiveness. However, the advantages of peer assessment can only be achieved with high-quality peer reviews. Previous studies have found that high-quality review comments usually comprise several features (e.g., contain…
Descriptors: Peer Evaluation, Models, Artificial Intelligence, Evaluation Methods
George Gyamfi; Barbara E. Hanna; Hassan Khosravi – Educational Technology Research and Development, 2024
While the provision of peer feedback has been widely recommended to enhance learning, many students are inexperienced in this area and would benefit from guidance. This study therefore examines the impact of instructions and examples on the quality of feedback provided by students on peer-developed learning resources produced via an online system,…
Descriptors: Feedback (Response), Peer Relationship, Educational Resources, Models
Zirou Lin; Hanbing Yan; Li Zhao – Journal of Computer Assisted Learning, 2024
Background: Peer assessment has played an important role in large-scale online learning, as it helps promote the effectiveness of learners' online learning. However, with the emergence of numerical grades and textual feedback generated by peers, it is necessary to detect the reliability of the large amount of peer assessment data, and then develop…
Descriptors: Peer Evaluation, Automation, Grading, Models
Panadero, Ernesto; Broadbent, Jaclyn; Boud, David; Lodge, Jason M. – European Journal of Psychology of Education, 2019
Recently, the concept of evaluative judgement has gained attention as a pedagogical approach to classroom formative assessment practices. Evaluative judgement is the capacity to be able to judge the work of oneself and that of others, which implies developing knowledge about one's own assessment capability. A focus on evaluative judgement helps us…
Descriptors: Formative Evaluation, Evaluative Thinking, Self Management, Models
Keast, Dan – Online Journal of Distance Learning Administration, 2022
The wash-rinse-repeat model of refreshing courses each term might be a financially beneficial model for the institution, yet is it serving students the best educational experience? If all that is monitored in the pre-flight check is for broken hyperlinks and refreshed dates, who is ensuring the quality delivery? Many institutions proudly boast…
Descriptors: Instructional Design, Educational Change, Integrated Learning Systems, Models